Examples masker reports¶
Nifti masker¶
Adapted from Simple example of NiftiMasker use
NiftiMasker Applying a mask to extract time-series from Niimg-like objects. NiftiMasker is useful when preprocessing (detrending, standardization, resampling, etc.) of in-mask :term:`voxels<voxel>` is necessary. Use case: working with time series of :term:`resting-state` or task maps.
Parameters
| Parameter | Value |
|---|---|
| cmap | gray |
| detrend | False |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| low_pass | None |
| mask_args | None |
| mask_img | None |
| mask_strategy | epi |
| memory | Memory(location=nilearn_cache/joblib) |
| memory_level | 2 |
| reports | True |
| runs | None |
| smoothing_fwhm | 8 |
| standardize | zscore_sample |
| standardize_confounds | True |
| t_r | None |
| target_affine | None |
| target_shape | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
Adapted from Encoding models for visual stimuli from Miyawaki et al. 2008
MultiNiftiMasker Applying a mask to extract time-series from multiple Niimg-like objects. MultiNiftiMasker is useful when dealing with image sets from multiple subjects. Use case: integrates well with decomposition by MultiPCA and CanICA (multi-subject models)
Parameters
| Parameter | Value |
|---|---|
| cmap | gray |
| detrend | True |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| low_pass | None |
| mask_args | None |
| mask_img | /home/remi/nilearn_data/miyawaki2008/mask/mask.nii.gz |
| mask_strategy | background |
| memory | Memory(location=None) |
| memory_level | 0 |
| n_jobs | 2 |
| smoothing_fwhm | None |
| standardize | zscore_sample |
| standardize_confounds | True |
| t_r | None |
| target_affine | None |
| target_shape | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
MultiNiftiMasker Applying a mask to extract time-series from multiple Niimg-like objects. MultiNiftiMasker is useful when dealing with image sets from multiple subjects. Use case: integrates well with decomposition by MultiPCA and CanICA (multi-subject models)
Parameters
| Parameter | Value |
|---|---|
| cmap | gray |
| detrend | True |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| low_pass | None |
| mask_args | None |
| mask_img | /home/remi/nilearn_data/miyawaki2008/mask/mask.nii.gz |
| mask_strategy | background |
| memory | Memory(location=None) |
| memory_level | 0 |
| n_jobs | 2 |
| smoothing_fwhm | None |
| standardize | zscore_sample |
| standardize_confounds | True |
| t_r | None |
| target_affine | None |
| target_shape | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
Nifti labels masker¶
Adapted from Extracting signals from brain regions using the NiftiLabelsMasker
NiftiLabelsMasker Class for extracting data from Niimg-like objects using labels of non-overlapping brain regions. NiftiLabelsMasker is useful when data from non-overlapping volumes should be extracted (contrarily to :class:`nilearn.maskers.NiftiMapsMasker`). Use case: summarize brain signals from clusters that were obtained by prior K-means or Ward clustering. For more details on the definitions of labels in Nilearn, see the :ref:`region` section.
This reports shows the regions defined by the labels of the mask.
The masker has 400 different non-overlapping regions.
Regions summary
| label value | region name | size (in mm^3) | relative size (in %) |
|---|---|---|---|
| 1 | 7Networks_LH_Vis_1 | 2797 | 0.26 |
| 2 | 7Networks_LH_Vis_2 | 3344 | 0.32 |
| 3 | 7Networks_LH_Vis_3 | 2494 | 0.24 |
| 4 | 7Networks_LH_Vis_4 | 3169 | 0.3 |
| 5 | 7Networks_LH_Vis_5 | 3356 | 0.32 |
| 6 | 7Networks_LH_Vis_6 | 2827 | 0.27 |
| 7 | 7Networks_LH_Vis_7 | 1483 | 0.14 |
| 8 | 7Networks_LH_Vis_8 | 3737 | 0.35 |
| 9 | 7Networks_LH_Vis_9 | 2637 | 0.25 |
| 10 | 7Networks_LH_Vis_10 | 2175 | 0.21 |
| 11 | 7Networks_LH_Vis_11 | 2467 | 0.23 |
| 12 | 7Networks_LH_Vis_12 | 4236 | 0.4 |
| 13 | 7Networks_LH_Vis_13 | 946 | 0.09 |
| 14 | 7Networks_LH_Vis_14 | 3087 | 0.29 |
| 15 | 7Networks_LH_Vis_15 | 4087 | 0.39 |
| 16 | 7Networks_LH_Vis_16 | 1617 | 0.15 |
| 17 | 7Networks_LH_Vis_17 | 3440 | 0.33 |
| 18 | 7Networks_LH_Vis_18 | 3324 | 0.31 |
| 19 | 7Networks_LH_Vis_19 | 4720 | 0.45 |
| 20 | 7Networks_LH_Vis_20 | 970 | 0.09 |
| 21 | 7Networks_LH_Vis_21 | 3735 | 0.35 |
| 22 | 7Networks_LH_Vis_22 | 1941 | 0.18 |
| 23 | 7Networks_LH_Vis_23 | 4515 | 0.43 |
| 24 | 7Networks_LH_Vis_24 | 4743 | 0.45 |
| 25 | 7Networks_LH_Vis_25 | 3649 | 0.35 |
| 26 | 7Networks_LH_Vis_26 | 2251 | 0.21 |
| 27 | 7Networks_LH_Vis_27 | 2783 | 0.26 |
| 28 | 7Networks_LH_Vis_28 | 1842 | 0.17 |
| 29 | 7Networks_LH_Vis_29 | 2650 | 0.25 |
| 30 | 7Networks_LH_Vis_30 | 2025 | 0.19 |
| 31 | 7Networks_LH_Vis_31 | 2043 | 0.19 |
| 32 | 7Networks_LH_SomMot_1 | 3125 | 0.3 |
| 33 | 7Networks_LH_SomMot_2 | 3982 | 0.38 |
| 34 | 7Networks_LH_SomMot_3 | 1214 | 0.11 |
| 35 | 7Networks_LH_SomMot_4 | 1985 | 0.19 |
| 36 | 7Networks_LH_SomMot_5 | 1435 | 0.14 |
| 37 | 7Networks_LH_SomMot_6 | 2358 | 0.22 |
| 38 | 7Networks_LH_SomMot_7 | 1621 | 0.15 |
| 39 | 7Networks_LH_SomMot_8 | 1906 | 0.18 |
| 40 | 7Networks_LH_SomMot_9 | 1804 | 0.17 |
| 41 | 7Networks_LH_SomMot_10 | 1631 | 0.15 |
| 42 | 7Networks_LH_SomMot_11 | 1600 | 0.15 |
| 43 | 7Networks_LH_SomMot_12 | 2246 | 0.21 |
| 44 | 7Networks_LH_SomMot_13 | 1640 | 0.16 |
| 45 | 7Networks_LH_SomMot_14 | 1458 | 0.14 |
| 46 | 7Networks_LH_SomMot_15 | 1498 | 0.14 |
| 47 | 7Networks_LH_SomMot_16 | 2388 | 0.23 |
| 48 | 7Networks_LH_SomMot_17 | 1389 | 0.13 |
| 49 | 7Networks_LH_SomMot_18 | 2531 | 0.24 |
| 50 | 7Networks_LH_SomMot_19 | 1527 | 0.14 |
| 51 | 7Networks_LH_SomMot_20 | 1646 | 0.16 |
| 52 | 7Networks_LH_SomMot_21 | 2774 | 0.26 |
| 53 | 7Networks_LH_SomMot_22 | 983 | 0.09 |
| 54 | 7Networks_LH_SomMot_23 | 1095 | 0.1 |
| 55 | 7Networks_LH_SomMot_24 | 1694 | 0.16 |
| 56 | 7Networks_LH_SomMot_25 | 2019 | 0.19 |
| 57 | 7Networks_LH_SomMot_26 | 3730 | 0.35 |
| 58 | 7Networks_LH_SomMot_27 | 2757 | 0.26 |
| 59 | 7Networks_LH_SomMot_28 | 2131 | 0.2 |
| 60 | 7Networks_LH_SomMot_29 | 2245 | 0.21 |
| 61 | 7Networks_LH_SomMot_30 | 2919 | 0.28 |
| 62 | 7Networks_LH_SomMot_31 | 1098 | 0.1 |
| 63 | 7Networks_LH_SomMot_32 | 2162 | 0.2 |
| 64 | 7Networks_LH_SomMot_33 | 2717 | 0.26 |
| 65 | 7Networks_LH_SomMot_34 | 1836 | 0.17 |
| 66 | 7Networks_LH_SomMot_35 | 2186 | 0.21 |
| 67 | 7Networks_LH_SomMot_36 | 2064 | 0.2 |
| 68 | 7Networks_LH_SomMot_37 | 900 | 0.09 |
| 69 | 7Networks_LH_DorsAttn_Post_1 | 2928 | 0.28 |
| 70 | 7Networks_LH_DorsAttn_Post_2 | 4725 | 0.45 |
| 71 | 7Networks_LH_DorsAttn_Post_3 | 4434 | 0.42 |
| 72 | 7Networks_LH_DorsAttn_Post_4 | 2816 | 0.27 |
| 73 | 7Networks_LH_DorsAttn_Post_5 | 1339 | 0.13 |
| 74 | 7Networks_LH_DorsAttn_Post_6 | 2465 | 0.23 |
| 75 | 7Networks_LH_DorsAttn_Post_7 | 2058 | 0.19 |
| 76 | 7Networks_LH_DorsAttn_Post_8 | 1627 | 0.15 |
| 77 | 7Networks_LH_DorsAttn_Post_9 | 2012 | 0.19 |
| 78 | 7Networks_LH_DorsAttn_Post_10 | 1261 | 0.12 |
| 79 | 7Networks_LH_DorsAttn_Post_11 | 2319 | 0.22 |
| 80 | 7Networks_LH_DorsAttn_Post_12 | 1637 | 0.16 |
| 81 | 7Networks_LH_DorsAttn_Post_13 | 3135 | 0.3 |
| 82 | 7Networks_LH_DorsAttn_Post_14 | 1671 | 0.16 |
| 83 | 7Networks_LH_DorsAttn_Post_15 | 2224 | 0.21 |
| 84 | 7Networks_LH_DorsAttn_Post_16 | 2775 | 0.26 |
| 85 | 7Networks_LH_DorsAttn_Post_17 | 907 | 0.09 |
| 86 | 7Networks_LH_DorsAttn_FEF_1 | 2506 | 0.24 |
| 87 | 7Networks_LH_DorsAttn_FEF_2 | 2945 | 0.28 |
| 88 | 7Networks_LH_DorsAttn_FEF_3 | 1466 | 0.14 |
| 89 | 7Networks_LH_DorsAttn_FEF_4 | 3629 | 0.34 |
| 90 | 7Networks_LH_DorsAttn_PrCv_1 | 2462 | 0.23 |
| 91 | 7Networks_LH_DorsAttn_PrCv_2 | 2163 | 0.2 |
| 92 | 7Networks_LH_SalVentAttn_ParOper_1 | 3259 | 0.31 |
| 93 | 7Networks_LH_SalVentAttn_ParOper_2 | 2243 | 0.21 |
| 94 | 7Networks_LH_SalVentAttn_ParOper_3 | 3228 | 0.31 |
| 95 | 7Networks_LH_SalVentAttn_ParOper_4 | 2395 | 0.23 |
| 96 | 7Networks_LH_SalVentAttn_TempOcc_1 | 2904 | 0.28 |
| 97 | 7Networks_LH_SalVentAttn_FrOperIns_1 | 2167 | 0.21 |
| 98 | 7Networks_LH_SalVentAttn_FrOperIns_2 | 3768 | 0.36 |
| 99 | 7Networks_LH_SalVentAttn_FrOperIns_3 | 1619 | 0.15 |
| 100 | 7Networks_LH_SalVentAttn_FrOperIns_4 | 1866 | 0.18 |
| 101 | 7Networks_LH_SalVentAttn_FrOperIns_5 | 1993 | 0.19 |
| 102 | 7Networks_LH_SalVentAttn_FrOperIns_6 | 1122 | 0.11 |
| 103 | 7Networks_LH_SalVentAttn_FrOperIns_7 | 1289 | 0.12 |
| 104 | 7Networks_LH_SalVentAttn_FrOperIns_8 | 2155 | 0.2 |
| 105 | 7Networks_LH_SalVentAttn_FrOperIns_9 | 2617 | 0.25 |
| 106 | 7Networks_LH_SalVentAttn_PFCl_1 | 5177 | 0.49 |
| 107 | 7Networks_LH_SalVentAttn_Med_1 | 3120 | 0.3 |
| 108 | 7Networks_LH_SalVentAttn_Med_2 | 3040 | 0.29 |
| 109 | 7Networks_LH_SalVentAttn_Med_3 | 2278 | 0.22 |
| 110 | 7Networks_LH_SalVentAttn_Med_4 | 3132 | 0.3 |
| 111 | 7Networks_LH_SalVentAttn_Med_5 | 1361 | 0.13 |
| 112 | 7Networks_LH_SalVentAttn_Med_6 | 2074 | 0.2 |
| 113 | 7Networks_LH_SalVentAttn_Med_7 | 1638 | 0.16 |
| 114 | 7Networks_LH_Limbic_OFC_1 | 2446 | 0.23 |
| 115 | 7Networks_LH_Limbic_OFC_2 | 4203 | 0.4 |
| 116 | 7Networks_LH_Limbic_OFC_3 | 4903 | 0.46 |
| 117 | 7Networks_LH_Limbic_OFC_4 | 3084 | 0.29 |
| 118 | 7Networks_LH_Limbic_OFC_5 | 3691 | 0.35 |
| 119 | 7Networks_LH_Limbic_TempPole_1 | 4998 | 0.47 |
| 120 | 7Networks_LH_Limbic_TempPole_2 | 3186 | 0.3 |
| 121 | 7Networks_LH_Limbic_TempPole_3 | 2555 | 0.24 |
| 122 | 7Networks_LH_Limbic_TempPole_4 | 3644 | 0.35 |
| 123 | 7Networks_LH_Limbic_TempPole_5 | 3152 | 0.3 |
| 124 | 7Networks_LH_Limbic_TempPole_6 | 6058 | 0.57 |
| 125 | 7Networks_LH_Limbic_TempPole_7 | 3392 | 0.32 |
| 126 | 7Networks_LH_Limbic_TempPole_8 | 1582 | 0.15 |
| 127 | 7Networks_LH_Cont_Par_1 | 2154 | 0.2 |
| 128 | 7Networks_LH_Cont_Par_2 | 1550 | 0.15 |
| 129 | 7Networks_LH_Cont_Par_3 | 2478 | 0.23 |
| 130 | 7Networks_LH_Cont_Par_4 | 2594 | 0.25 |
| 131 | 7Networks_LH_Cont_Par_5 | 1256 | 0.12 |
| 132 | 7Networks_LH_Cont_Par_6 | 2649 | 0.25 |
| 133 | 7Networks_LH_Cont_Temp_1 | 3327 | 0.32 |
| 134 | 7Networks_LH_Cont_OFC_1 | 2836 | 0.27 |
| 135 | 7Networks_LH_Cont_PFCl_1 | 4475 | 0.42 |
| 136 | 7Networks_LH_Cont_PFCl_2 | 3065 | 0.29 |
| 137 | 7Networks_LH_Cont_PFCl_3 | 3717 | 0.35 |
| 138 | 7Networks_LH_Cont_PFCl_4 | 3238 | 0.31 |
| 139 | 7Networks_LH_Cont_PFCl_5 | 4403 | 0.42 |
| 140 | 7Networks_LH_Cont_PFCl_6 | 5773 | 0.55 |
| 141 | 7Networks_LH_Cont_PFCl_7 | 1920 | 0.18 |
| 142 | 7Networks_LH_Cont_PFCl_8 | 3118 | 0.3 |
| 143 | 7Networks_LH_Cont_PFCv_1 | 1372 | 0.13 |
| 144 | 7Networks_LH_Cont_pCun_1 | 2110 | 0.2 |
| 145 | 7Networks_LH_Cont_pCun_2 | 2037 | 0.19 |
| 146 | 7Networks_LH_Cont_Cing_1 | 1143 | 0.11 |
| 147 | 7Networks_LH_Cont_Cing_2 | 1000 | 0.09 |
| 148 | 7Networks_LH_Cont_PFCmp_1 | 3665 | 0.35 |
| 149 | 7Networks_LH_Default_Temp_1 | 4224 | 0.4 |
| 150 | 7Networks_LH_Default_Temp_2 | 3593 | 0.34 |
| 151 | 7Networks_LH_Default_Temp_3 | 4399 | 0.42 |
| 152 | 7Networks_LH_Default_Temp_4 | 4126 | 0.39 |
| 153 | 7Networks_LH_Default_Temp_5 | 3453 | 0.33 |
| 154 | 7Networks_LH_Default_Temp_6 | 4103 | 0.39 |
| 155 | 7Networks_LH_Default_Temp_7 | 1869 | 0.18 |
| 156 | 7Networks_LH_Default_Temp_8 | 1898 | 0.18 |
| 157 | 7Networks_LH_Default_Temp_9 | 2637 | 0.25 |
| 158 | 7Networks_LH_Default_Temp_10 | 1869 | 0.18 |
| 159 | 7Networks_LH_Default_Par_1 | 2029 | 0.19 |
| 160 | 7Networks_LH_Default_Par_2 | 2312 | 0.22 |
| 161 | 7Networks_LH_Default_Par_3 | 3700 | 0.35 |
| 162 | 7Networks_LH_Default_Par_4 | 3710 | 0.35 |
| 163 | 7Networks_LH_Default_Par_5 | 3037 | 0.29 |
| 164 | 7Networks_LH_Default_Par_6 | 3557 | 0.34 |
| 165 | 7Networks_LH_Default_Par_7 | 2409 | 0.23 |
| 166 | 7Networks_LH_Default_PFC_1 | 3355 | 0.32 |
| 167 | 7Networks_LH_Default_PFC_2 | 1808 | 0.17 |
| 168 | 7Networks_LH_Default_PFC_3 | 2835 | 0.27 |
| 169 | 7Networks_LH_Default_PFC_4 | 3676 | 0.35 |
| 170 | 7Networks_LH_Default_PFC_5 | 2553 | 0.24 |
| 171 | 7Networks_LH_Default_PFC_6 | 2539 | 0.24 |
| 172 | 7Networks_LH_Default_PFC_7 | 3115 | 0.3 |
| 173 | 7Networks_LH_Default_PFC_8 | 1999 | 0.19 |
| 174 | 7Networks_LH_Default_PFC_9 | 4263 | 0.4 |
| 175 | 7Networks_LH_Default_PFC_10 | 4058 | 0.38 |
| 176 | 7Networks_LH_Default_PFC_11 | 2678 | 0.25 |
| 177 | 7Networks_LH_Default_PFC_12 | 3642 | 0.34 |
| 178 | 7Networks_LH_Default_PFC_13 | 6330 | 0.6 |
| 179 | 7Networks_LH_Default_PFC_14 | 3765 | 0.36 |
| 180 | 7Networks_LH_Default_PFC_15 | 3346 | 0.32 |
| 181 | 7Networks_LH_Default_PFC_16 | 2194 | 0.21 |
| 182 | 7Networks_LH_Default_PFC_17 | 4307 | 0.41 |
| 183 | 7Networks_LH_Default_PFC_18 | 1905 | 0.18 |
| 184 | 7Networks_LH_Default_PFC_19 | 2128 | 0.2 |
| 185 | 7Networks_LH_Default_PFC_20 | 3289 | 0.31 |
| 186 | 7Networks_LH_Default_PFC_21 | 2234 | 0.21 |
| 187 | 7Networks_LH_Default_PFC_22 | 2003 | 0.19 |
| 188 | 7Networks_LH_Default_PFC_23 | 3089 | 0.29 |
| 189 | 7Networks_LH_Default_PFC_24 | 3270 | 0.31 |
| 190 | 7Networks_LH_Default_pCunPCC_1 | 1375 | 0.13 |
| 191 | 7Networks_LH_Default_pCunPCC_2 | 2153 | 0.2 |
| 192 | 7Networks_LH_Default_pCunPCC_3 | 1691 | 0.16 |
| 193 | 7Networks_LH_Default_pCunPCC_4 | 679 | 0.06 |
| 194 | 7Networks_LH_Default_pCunPCC_5 | 2054 | 0.19 |
| 195 | 7Networks_LH_Default_pCunPCC_6 | 2807 | 0.27 |
| 196 | 7Networks_LH_Default_pCunPCC_7 | 2021 | 0.19 |
| 197 | 7Networks_LH_Default_pCunPCC_8 | 1792 | 0.17 |
| 198 | 7Networks_LH_Default_pCunPCC_9 | 1539 | 0.15 |
| 199 | 7Networks_LH_Default_pCunPCC_10 | 1190 | 0.11 |
| 200 | 7Networks_LH_Default_pCunPCC_11 | 3095 | 0.29 |
| 201 | 7Networks_RH_Vis_1 | 2934 | 0.28 |
| 202 | 7Networks_RH_Vis_2 | 2806 | 0.27 |
| 203 | 7Networks_RH_Vis_3 | 2725 | 0.26 |
| 204 | 7Networks_RH_Vis_4 | 3045 | 0.29 |
| 205 | 7Networks_RH_Vis_5 | 3603 | 0.34 |
| 206 | 7Networks_RH_Vis_6 | 4391 | 0.42 |
| 207 | 7Networks_RH_Vis_7 | 1078 | 0.1 |
| 208 | 7Networks_RH_Vis_8 | 2207 | 0.21 |
| 209 | 7Networks_RH_Vis_9 | 4487 | 0.43 |
| 210 | 7Networks_RH_Vis_10 | 2148 | 0.2 |
| 211 | 7Networks_RH_Vis_11 | 2630 | 0.25 |
| 212 | 7Networks_RH_Vis_12 | 2769 | 0.26 |
| 213 | 7Networks_RH_Vis_13 | 3450 | 0.33 |
| 214 | 7Networks_RH_Vis_14 | 1730 | 0.16 |
| 215 | 7Networks_RH_Vis_15 | 5861 | 0.56 |
| 216 | 7Networks_RH_Vis_16 | 5082 | 0.48 |
| 217 | 7Networks_RH_Vis_17 | 973 | 0.09 |
| 218 | 7Networks_RH_Vis_18 | 3054 | 0.29 |
| 219 | 7Networks_RH_Vis_19 | 5048 | 0.48 |
| 220 | 7Networks_RH_Vis_20 | 2544 | 0.24 |
| 221 | 7Networks_RH_Vis_21 | 2453 | 0.23 |
| 222 | 7Networks_RH_Vis_22 | 4590 | 0.43 |
| 223 | 7Networks_RH_Vis_23 | 3764 | 0.36 |
| 224 | 7Networks_RH_Vis_24 | 2637 | 0.25 |
| 225 | 7Networks_RH_Vis_25 | 2466 | 0.23 |
| 226 | 7Networks_RH_Vis_26 | 3733 | 0.35 |
| 227 | 7Networks_RH_Vis_27 | 2401 | 0.23 |
| 228 | 7Networks_RH_Vis_28 | 2826 | 0.27 |
| 229 | 7Networks_RH_Vis_29 | 3410 | 0.32 |
| 230 | 7Networks_RH_Vis_30 | 2551 | 0.24 |
| 231 | 7Networks_RH_SomMot_1 | 3905 | 0.37 |
| 232 | 7Networks_RH_SomMot_2 | 3220 | 0.31 |
| 233 | 7Networks_RH_SomMot_3 | 3460 | 0.33 |
| 234 | 7Networks_RH_SomMot_4 | 1224 | 0.12 |
| 235 | 7Networks_RH_SomMot_5 | 967 | 0.09 |
| 236 | 7Networks_RH_SomMot_6 | 832 | 0.08 |
| 237 | 7Networks_RH_SomMot_7 | 2511 | 0.24 |
| 238 | 7Networks_RH_SomMot_8 | 2017 | 0.19 |
| 239 | 7Networks_RH_SomMot_9 | 858 | 0.08 |
| 240 | 7Networks_RH_SomMot_10 | 1987 | 0.19 |
| 241 | 7Networks_RH_SomMot_11 | 1161 | 0.11 |
| 242 | 7Networks_RH_SomMot_12 | 2054 | 0.19 |
| 243 | 7Networks_RH_SomMot_13 | 1355 | 0.13 |
| 244 | 7Networks_RH_SomMot_14 | 1396 | 0.13 |
| 245 | 7Networks_RH_SomMot_15 | 1257 | 0.12 |
| 246 | 7Networks_RH_SomMot_16 | 3751 | 0.36 |
| 247 | 7Networks_RH_SomMot_17 | 1974 | 0.19 |
| 248 | 7Networks_RH_SomMot_18 | 2033 | 0.19 |
| 249 | 7Networks_RH_SomMot_19 | 1090 | 0.1 |
| 250 | 7Networks_RH_SomMot_20 | 1375 | 0.13 |
| 251 | 7Networks_RH_SomMot_21 | 1435 | 0.14 |
| 252 | 7Networks_RH_SomMot_22 | 1822 | 0.17 |
| 253 | 7Networks_RH_SomMot_23 | 2608 | 0.25 |
| 254 | 7Networks_RH_SomMot_24 | 3085 | 0.29 |
| 255 | 7Networks_RH_SomMot_25 | 1491 | 0.14 |
| 256 | 7Networks_RH_SomMot_26 | 3115 | 0.3 |
| 257 | 7Networks_RH_SomMot_27 | 1377 | 0.13 |
| 258 | 7Networks_RH_SomMot_28 | 1917 | 0.18 |
| 259 | 7Networks_RH_SomMot_29 | 1577 | 0.15 |
| 260 | 7Networks_RH_SomMot_30 | 2239 | 0.21 |
| 261 | 7Networks_RH_SomMot_31 | 2031 | 0.19 |
| 262 | 7Networks_RH_SomMot_32 | 2054 | 0.19 |
| 263 | 7Networks_RH_SomMot_33 | 999 | 0.09 |
| 264 | 7Networks_RH_SomMot_34 | 1062 | 0.1 |
| 265 | 7Networks_RH_SomMot_35 | 1246 | 0.12 |
| 266 | 7Networks_RH_SomMot_36 | 1796 | 0.17 |
| 267 | 7Networks_RH_SomMot_37 | 1955 | 0.19 |
| 268 | 7Networks_RH_SomMot_38 | 2136 | 0.2 |
| 269 | 7Networks_RH_SomMot_39 | 2202 | 0.21 |
| 270 | 7Networks_RH_SomMot_40 | 1156 | 0.11 |
| 271 | 7Networks_RH_DorsAttn_Post_1 | 5818 | 0.55 |
| 272 | 7Networks_RH_DorsAttn_Post_2 | 2743 | 0.26 |
| 273 | 7Networks_RH_DorsAttn_Post_3 | 2663 | 0.25 |
| 274 | 7Networks_RH_DorsAttn_Post_4 | 3382 | 0.32 |
| 275 | 7Networks_RH_DorsAttn_Post_5 | 2181 | 0.21 |
| 276 | 7Networks_RH_DorsAttn_Post_6 | 1327 | 0.13 |
| 277 | 7Networks_RH_DorsAttn_Post_7 | 1054 | 0.1 |
| 278 | 7Networks_RH_DorsAttn_Post_8 | 1789 | 0.17 |
| 279 | 7Networks_RH_DorsAttn_Post_9 | 1699 | 0.16 |
| 280 | 7Networks_RH_DorsAttn_Post_10 | 1716 | 0.16 |
| 281 | 7Networks_RH_DorsAttn_Post_11 | 2379 | 0.23 |
| 282 | 7Networks_RH_DorsAttn_Post_12 | 2962 | 0.28 |
| 283 | 7Networks_RH_DorsAttn_Post_13 | 1757 | 0.17 |
| 284 | 7Networks_RH_DorsAttn_Post_14 | 3113 | 0.29 |
| 285 | 7Networks_RH_DorsAttn_Post_15 | 2235 | 0.21 |
| 286 | 7Networks_RH_DorsAttn_Post_16 | 3204 | 0.3 |
| 287 | 7Networks_RH_DorsAttn_Post_17 | 4108 | 0.39 |
| 288 | 7Networks_RH_DorsAttn_Post_18 | 2070 | 0.2 |
| 289 | 7Networks_RH_DorsAttn_Post_19 | 2890 | 0.27 |
| 290 | 7Networks_RH_DorsAttn_FEF_1 | 2588 | 0.25 |
| 291 | 7Networks_RH_DorsAttn_FEF_2 | 2385 | 0.23 |
| 292 | 7Networks_RH_DorsAttn_FEF_3 | 1273 | 0.12 |
| 293 | 7Networks_RH_DorsAttn_PrCv_1 | 3134 | 0.3 |
| 294 | 7Networks_RH_SalVentAttn_TempOccPar_1 | 2037 | 0.19 |
| 295 | 7Networks_RH_SalVentAttn_TempOccPar_2 | 1460 | 0.14 |
| 296 | 7Networks_RH_SalVentAttn_TempOccPar_3 | 1438 | 0.14 |
| 297 | 7Networks_RH_SalVentAttn_TempOccPar_4 | 2755 | 0.26 |
| 298 | 7Networks_RH_SalVentAttn_TempOccPar_5 | 2411 | 0.23 |
| 299 | 7Networks_RH_SalVentAttn_TempOccPar_6 | 2410 | 0.23 |
| 300 | 7Networks_RH_SalVentAttn_TempOccPar_7 | 2719 | 0.26 |
| 301 | 7Networks_RH_SalVentAttn_PrC_1 | 2561 | 0.24 |
| 302 | 7Networks_RH_SalVentAttn_FrOperIns_1 | 2269 | 0.21 |
| 303 | 7Networks_RH_SalVentAttn_FrOperIns_2 | 2104 | 0.2 |
| 304 | 7Networks_RH_SalVentAttn_FrOperIns_3 | 2053 | 0.19 |
| 305 | 7Networks_RH_SalVentAttn_FrOperIns_4 | 1384 | 0.13 |
| 306 | 7Networks_RH_SalVentAttn_FrOperIns_5 | 3487 | 0.33 |
| 307 | 7Networks_RH_SalVentAttn_FrOperIns_6 | 1230 | 0.12 |
| 308 | 7Networks_RH_SalVentAttn_FrOperIns_7 | 2449 | 0.23 |
| 309 | 7Networks_RH_SalVentAttn_FrOperIns_8 | 2565 | 0.24 |
| 310 | 7Networks_RH_SalVentAttn_PFCl_1 | 5188 | 0.49 |
| 311 | 7Networks_RH_SalVentAttn_Med_1 | 4518 | 0.43 |
| 312 | 7Networks_RH_SalVentAttn_Med_2 | 3572 | 0.34 |
| 313 | 7Networks_RH_SalVentAttn_Med_3 | 1971 | 0.19 |
| 314 | 7Networks_RH_SalVentAttn_Med_4 | 1775 | 0.17 |
| 315 | 7Networks_RH_SalVentAttn_Med_5 | 1357 | 0.13 |
| 316 | 7Networks_RH_SalVentAttn_Med_6 | 1497 | 0.14 |
| 317 | 7Networks_RH_SalVentAttn_Med_7 | 2485 | 0.24 |
| 318 | 7Networks_RH_SalVentAttn_Med_8 | 1314 | 0.12 |
| 319 | 7Networks_RH_Limbic_OFC_1 | 2539 | 0.24 |
| 320 | 7Networks_RH_Limbic_OFC_2 | 2823 | 0.27 |
| 321 | 7Networks_RH_Limbic_OFC_3 | 2986 | 0.28 |
| 322 | 7Networks_RH_Limbic_OFC_4 | 1845 | 0.17 |
| 323 | 7Networks_RH_Limbic_OFC_5 | 2482 | 0.24 |
| 324 | 7Networks_RH_Limbic_OFC_6 | 2598 | 0.25 |
| 325 | 7Networks_RH_Limbic_TempPole_1 | 5576 | 0.53 |
| 326 | 7Networks_RH_Limbic_TempPole_2 | 4643 | 0.44 |
| 327 | 7Networks_RH_Limbic_TempPole_3 | 3160 | 0.3 |
| 328 | 7Networks_RH_Limbic_TempPole_4 | 3766 | 0.36 |
| 329 | 7Networks_RH_Limbic_TempPole_5 | 3732 | 0.35 |
| 330 | 7Networks_RH_Limbic_TempPole_6 | 3450 | 0.33 |
| 331 | 7Networks_RH_Limbic_TempPole_7 | 2312 | 0.22 |
| 332 | 7Networks_RH_Cont_Par_1 | 3468 | 0.33 |
| 333 | 7Networks_RH_Cont_Par_2 | 2052 | 0.19 |
| 334 | 7Networks_RH_Cont_Par_3 | 2177 | 0.21 |
| 335 | 7Networks_RH_Cont_Par_4 | 1395 | 0.13 |
| 336 | 7Networks_RH_Cont_Par_5 | 1255 | 0.12 |
| 337 | 7Networks_RH_Cont_Par_6 | 2835 | 0.27 |
| 338 | 7Networks_RH_Cont_Temp_1 | 4452 | 0.42 |
| 339 | 7Networks_RH_Cont_Temp_2 | 3673 | 0.35 |
| 340 | 7Networks_RH_Cont_PFCv_1 | 1673 | 0.16 |
| 341 | 7Networks_RH_Cont_PFCl_1 | 3324 | 0.31 |
| 342 | 7Networks_RH_Cont_PFCl_2 | 4081 | 0.39 |
| 343 | 7Networks_RH_Cont_PFCl_3 | 7218 | 0.68 |
| 344 | 7Networks_RH_Cont_PFCl_4 | 2277 | 0.22 |
| 345 | 7Networks_RH_Cont_PFCl_5 | 5134 | 0.49 |
| 346 | 7Networks_RH_Cont_PFCl_6 | 2325 | 0.22 |
| 347 | 7Networks_RH_Cont_PFCl_7 | 2242 | 0.21 |
| 348 | 7Networks_RH_Cont_PFCl_8 | 3258 | 0.31 |
| 349 | 7Networks_RH_Cont_PFCl_9 | 3209 | 0.3 |
| 350 | 7Networks_RH_Cont_PFCl_10 | 2750 | 0.26 |
| 351 | 7Networks_RH_Cont_PFCl_11 | 3010 | 0.29 |
| 352 | 7Networks_RH_Cont_PFCl_12 | 4138 | 0.39 |
| 353 | 7Networks_RH_Cont_PFCl_13 | 2309 | 0.22 |
| 354 | 7Networks_RH_Cont_PFCl_14 | 4195 | 0.4 |
| 355 | 7Networks_RH_Cont_PFCl_15 | 3527 | 0.33 |
| 356 | 7Networks_RH_Cont_pCun_1 | 2471 | 0.23 |
| 357 | 7Networks_RH_Cont_pCun_2 | 1704 | 0.16 |
| 358 | 7Networks_RH_Cont_Cing_1 | 1170 | 0.11 |
| 359 | 7Networks_RH_Cont_Cing_2 | 947 | 0.09 |
| 360 | 7Networks_RH_Cont_PFCmp_1 | 3487 | 0.33 |
| 361 | 7Networks_RH_Cont_PFCmp_2 | 2635 | 0.25 |
| 362 | 7Networks_RH_Default_Par_1 | 1570 | 0.15 |
| 363 | 7Networks_RH_Default_Par_2 | 3763 | 0.36 |
| 364 | 7Networks_RH_Default_Par_3 | 3743 | 0.35 |
| 365 | 7Networks_RH_Default_Par_4 | 1851 | 0.18 |
| 366 | 7Networks_RH_Default_Par_5 | 3437 | 0.33 |
| 367 | 7Networks_RH_Default_Temp_1 | 4435 | 0.42 |
| 368 | 7Networks_RH_Default_Temp_2 | 4737 | 0.45 |
| 369 | 7Networks_RH_Default_Temp_3 | 3093 | 0.29 |
| 370 | 7Networks_RH_Default_Temp_4 | 4734 | 0.45 |
| 371 | 7Networks_RH_Default_Temp_5 | 2674 | 0.25 |
| 372 | 7Networks_RH_Default_Temp_6 | 1215 | 0.12 |
| 373 | 7Networks_RH_Default_Temp_7 | 1539 | 0.15 |
| 374 | 7Networks_RH_Default_Temp_8 | 2479 | 0.23 |
| 375 | 7Networks_RH_Default_PFCv_1 | 2789 | 0.26 |
| 376 | 7Networks_RH_Default_PFCv_2 | 2264 | 0.21 |
| 377 | 7Networks_RH_Default_PFCv_3 | 3995 | 0.38 |
| 378 | 7Networks_RH_Default_PFCv_4 | 4172 | 0.4 |
| 379 | 7Networks_RH_Default_PFCdPFCm_1 | 5339 | 0.51 |
| 380 | 7Networks_RH_Default_PFCdPFCm_2 | 2543 | 0.24 |
| 381 | 7Networks_RH_Default_PFCdPFCm_3 | 3908 | 0.37 |
| 382 | 7Networks_RH_Default_PFCdPFCm_4 | 4657 | 0.44 |
| 383 | 7Networks_RH_Default_PFCdPFCm_5 | 3189 | 0.3 |
| 384 | 7Networks_RH_Default_PFCdPFCm_6 | 1335 | 0.13 |
| 385 | 7Networks_RH_Default_PFCdPFCm_7 | 2440 | 0.23 |
| 386 | 7Networks_RH_Default_PFCdPFCm_8 | 2939 | 0.28 |
| 387 | 7Networks_RH_Default_PFCdPFCm_9 | 2274 | 0.22 |
| 388 | 7Networks_RH_Default_PFCdPFCm_10 | 3250 | 0.31 |
| 389 | 7Networks_RH_Default_PFCdPFCm_11 | 3622 | 0.34 |
| 390 | 7Networks_RH_Default_PFCdPFCm_12 | 3086 | 0.29 |
| 391 | 7Networks_RH_Default_PFCdPFCm_13 | 3219 | 0.3 |
| 392 | 7Networks_RH_Default_pCunPCC_1 | 3109 | 0.29 |
| 393 | 7Networks_RH_Default_pCunPCC_2 | 454 | 0.04 |
| 394 | 7Networks_RH_Default_pCunPCC_3 | 1290 | 0.12 |
| 395 | 7Networks_RH_Default_pCunPCC_4 | 2152 | 0.2 |
| 396 | 7Networks_RH_Default_pCunPCC_5 | 1397 | 0.13 |
| 397 | 7Networks_RH_Default_pCunPCC_6 | 2835 | 0.27 |
| 398 | 7Networks_RH_Default_pCunPCC_7 | 2047 | 0.19 |
| 399 | 7Networks_RH_Default_pCunPCC_8 | 1402 | 0.13 |
| 400 | 7Networks_RH_Default_pCunPCC_9 | 1991 | 0.19 |
Parameters
| Parameter | Value |
|---|---|
| background_label | 0 |
| detrend | False |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| keep_masked_labels | True |
| labels | ['Background', '7Networks_LH_Vis_1', '7Networks_LH_Vis_2', '7Networks_LH_Vis_3', '7Networks_LH_Vis_4', '7Networks_LH_Vis_5', '7Networks_LH_Vis_6', '7Networks_LH_Vis_7', '7Networks_LH_Vis_8', '7Networks_LH_Vis_9', '7Networks_LH_Vis_10', '7Networks_LH_Vis_11', '7Networks_LH_Vis_12', '7Networks_LH_Vis_13', '7Networks_LH_Vis_14', '7Networks_LH_Vis_15', '7Networks_LH_Vis_16', '7Networks_LH_Vis_17', '7Networks_LH_Vis_18', '7Networks_LH_Vis_19', '7Networks_LH_Vis_20', '7Networks_LH_Vis_21', '7Networks_LH_Vis_22', '7Networks_LH_Vis_23', '7Networks_LH_Vis_24', '7Networks_LH_Vis_25', '7Networks_LH_Vis_26', '7Networks_LH_Vis_27', '7Networks_LH_Vis_28', '7Networks_LH_Vis_29', '7Networks_LH_Vis_30', '7Networks_LH_Vis_31', '7Networks_LH_SomMot_1', '7Networks_LH_SomMot_2', '7Networks_LH_SomMot_3', '7Networks_LH_SomMot_4', '7Networks_LH_SomMot_5', '7Networks_LH_SomMot_6', '7Networks_LH_SomMot_7', '7Networks_LH_SomMot_8', '7Networks_LH_SomMot_9', '7Networks_LH_SomMot_10', '7Networks_LH_SomMot_11', '7Networks_LH_SomMot_12', '7Networks_LH_SomMot_13', '7Networks_LH_SomMot_14', '7Networks_LH_SomMot_15', '7Networks_LH_SomMot_16', '7Networks_LH_SomMot_17', '7Networks_LH_SomMot_18', '7Networks_LH_SomMot_19', '7Networks_LH_SomMot_20', '7Networks_LH_SomMot_21', '7Networks_LH_SomMot_22', '7Networks_LH_SomMot_23', '7Networks_LH_SomMot_24', '7Networks_LH_SomMot_25', '7Networks_LH_SomMot_26', '7Networks_LH_SomMot_27', '7Networks_LH_SomMot_28', '7Networks_LH_SomMot_29', '7Networks_LH_SomMot_30', '7Networks_LH_SomMot_31', '7Networks_LH_SomMot_32', '7Networks_LH_SomMot_33', '7Networks_LH_SomMot_34', '7Networks_LH_SomMot_35', '7Networks_LH_SomMot_36', '7Networks_LH_SomMot_37', '7Networks_LH_DorsAttn_Post_1', '7Networks_LH_DorsAttn_Post_2', '7Networks_LH_DorsAttn_Post_3', '7Networks_LH_DorsAttn_Post_4', '7Networks_LH_DorsAttn_Post_5', '7Networks_LH_DorsAttn_Post_6', '7Networks_LH_DorsAttn_Post_7', '7Networks_LH_DorsAttn_Post_8', '7Networks_LH_DorsAttn_Post_9', '7Networks_LH_DorsAttn_Post_10', '7Networks_LH_DorsAttn_Post_11', '7Networks_LH_DorsAttn_Post_12', '7Networks_LH_DorsAttn_Post_13', '7Networks_LH_DorsAttn_Post_14', '7Networks_LH_DorsAttn_Post_15', '7Networks_LH_DorsAttn_Post_16', '7Networks_LH_DorsAttn_Post_17', '7Networks_LH_DorsAttn_FEF_1', '7Networks_LH_DorsAttn_FEF_2', '7Networks_LH_DorsAttn_FEF_3', '7Networks_LH_DorsAttn_FEF_4', '7Networks_LH_DorsAttn_PrCv_1', '7Networks_LH_DorsAttn_PrCv_2', '7Networks_LH_SalVentAttn_ParOper_1', '7Networks_LH_SalVentAttn_ParOper_2', '7Networks_LH_SalVentAttn_ParOper_3', '7Networks_LH_SalVentAttn_ParOper_4', '7Networks_LH_SalVentAttn_TempOcc_1', '7Networks_LH_SalVentAttn_FrOperIns_1', '7Networks_LH_SalVentAttn_FrOperIns_2', '7Networks_LH_SalVentAttn_FrOperIns_3', '7Networks_LH_SalVentAttn_FrOperIns_4', '7Networks_LH_SalVentAttn_FrOperIns_5', '7Networks_LH_SalVentAttn_FrOperIns_6', '7Networks_LH_SalVentAttn_FrOperIns_7', '7Networks_LH_SalVentAttn_FrOperIns_8', '7Networks_LH_SalVentAttn_FrOperIns_9', '7Networks_LH_SalVentAttn_PFCl_1', '7Networks_LH_SalVentAttn_Med_1', '7Networks_LH_SalVentAttn_Med_2', '7Networks_LH_SalVentAttn_Med_3', '7Networks_LH_SalVentAttn_Med_4', '7Networks_LH_SalVentAttn_Med_5', '7Networks_LH_SalVentAttn_Med_6', '7Networks_LH_SalVentAttn_Med_7', '7Networks_LH_Limbic_OFC_1', '7Networks_LH_Limbic_OFC_2', '7Networks_LH_Limbic_OFC_3', '7Networks_LH_Limbic_OFC_4', '7Networks_LH_Limbic_OFC_5', '7Networks_LH_Limbic_TempPole_1', '7Networks_LH_Limbic_TempPole_2', '7Networks_LH_Limbic_TempPole_3', '7Networks_LH_Limbic_TempPole_4', '7Networks_LH_Limbic_TempPole_5', '7Networks_LH_Limbic_TempPole_6', '7Networks_LH_Limbic_TempPole_7', '7Networks_LH_Limbic_TempPole_8', '7Networks_LH_Cont_Par_1', '7Networks_LH_Cont_Par_2', '7Networks_LH_Cont_Par_3', '7Networks_LH_Cont_Par_4', '7Networks_LH_Cont_Par_5', '7Networks_LH_Cont_Par_6', '7Networks_LH_Cont_Temp_1', '7Networks_LH_Cont_OFC_1', '7Networks_LH_Cont_PFCl_1', '7Networks_LH_Cont_PFCl_2', '7Networks_LH_Cont_PFCl_3', '7Networks_LH_Cont_PFCl_4', '7Networks_LH_Cont_PFCl_5', '7Networks_LH_Cont_PFCl_6', '7Networks_LH_Cont_PFCl_7', '7Networks_LH_Cont_PFCl_8', '7Networks_LH_Cont_PFCv_1', '7Networks_LH_Cont_pCun_1', '7Networks_LH_Cont_pCun_2', '7Networks_LH_Cont_Cing_1', '7Networks_LH_Cont_Cing_2', '7Networks_LH_Cont_PFCmp_1', '7Networks_LH_Default_Temp_1', '7Networks_LH_Default_Temp_2', '7Networks_LH_Default_Temp_3', '7Networks_LH_Default_Temp_4', '7Networks_LH_Default_Temp_5', '7Networks_LH_Default_Temp_6', '7Networks_LH_Default_Temp_7', '7Networks_LH_Default_Temp_8', '7Networks_LH_Default_Temp_9', '7Networks_LH_Default_Temp_10', '7Networks_LH_Default_Par_1', '7Networks_LH_Default_Par_2', '7Networks_LH_Default_Par_3', '7Networks_LH_Default_Par_4', '7Networks_LH_Default_Par_5', '7Networks_LH_Default_Par_6', '7Networks_LH_Default_Par_7', '7Networks_LH_Default_PFC_1', '7Networks_LH_Default_PFC_2', '7Networks_LH_Default_PFC_3', '7Networks_LH_Default_PFC_4', '7Networks_LH_Default_PFC_5', '7Networks_LH_Default_PFC_6', '7Networks_LH_Default_PFC_7', '7Networks_LH_Default_PFC_8', '7Networks_LH_Default_PFC_9', '7Networks_LH_Default_PFC_10', '7Networks_LH_Default_PFC_11', '7Networks_LH_Default_PFC_12', '7Networks_LH_Default_PFC_13', '7Networks_LH_Default_PFC_14', '7Networks_LH_Default_PFC_15', '7Networks_LH_Default_PFC_16', '7Networks_LH_Default_PFC_17', '7Networks_LH_Default_PFC_18', '7Networks_LH_Default_PFC_19', '7Networks_LH_Default_PFC_20', '7Networks_LH_Default_PFC_21', '7Networks_LH_Default_PFC_22', '7Networks_LH_Default_PFC_23', '7Networks_LH_Default_PFC_24', '7Networks_LH_Default_pCunPCC_1', '7Networks_LH_Default_pCunPCC_2', '7Networks_LH_Default_pCunPCC_3', '7Networks_LH_Default_pCunPCC_4', '7Networks_LH_Default_pCunPCC_5', '7Networks_LH_Default_pCunPCC_6', '7Networks_LH_Default_pCunPCC_7', '7Networks_LH_Default_pCunPCC_8', '7Networks_LH_Default_pCunPCC_9', '7Networks_LH_Default_pCunPCC_10', '7Networks_LH_Default_pCunPCC_11', '7Networks_RH_Vis_1', '7Networks_RH_Vis_2', '7Networks_RH_Vis_3', '7Networks_RH_Vis_4', '7Networks_RH_Vis_5', '7Networks_RH_Vis_6', '7Networks_RH_Vis_7', '7Networks_RH_Vis_8', '7Networks_RH_Vis_9', '7Networks_RH_Vis_10', '7Networks_RH_Vis_11', '7Networks_RH_Vis_12', '7Networks_RH_Vis_13', '7Networks_RH_Vis_14', '7Networks_RH_Vis_15', '7Networks_RH_Vis_16', '7Networks_RH_Vis_17', '7Networks_RH_Vis_18', '7Networks_RH_Vis_19', '7Networks_RH_Vis_20', '7Networks_RH_Vis_21', '7Networks_RH_Vis_22', '7Networks_RH_Vis_23', '7Networks_RH_Vis_24', '7Networks_RH_Vis_25', '7Networks_RH_Vis_26', '7Networks_RH_Vis_27', '7Networks_RH_Vis_28', '7Networks_RH_Vis_29', '7Networks_RH_Vis_30', '7Networks_RH_SomMot_1', '7Networks_RH_SomMot_2', '7Networks_RH_SomMot_3', '7Networks_RH_SomMot_4', '7Networks_RH_SomMot_5', '7Networks_RH_SomMot_6', '7Networks_RH_SomMot_7', '7Networks_RH_SomMot_8', '7Networks_RH_SomMot_9', '7Networks_RH_SomMot_10', '7Networks_RH_SomMot_11', '7Networks_RH_SomMot_12', '7Networks_RH_SomMot_13', '7Networks_RH_SomMot_14', '7Networks_RH_SomMot_15', '7Networks_RH_SomMot_16', '7Networks_RH_SomMot_17', '7Networks_RH_SomMot_18', '7Networks_RH_SomMot_19', '7Networks_RH_SomMot_20', '7Networks_RH_SomMot_21', '7Networks_RH_SomMot_22', '7Networks_RH_SomMot_23', '7Networks_RH_SomMot_24', '7Networks_RH_SomMot_25', '7Networks_RH_SomMot_26', '7Networks_RH_SomMot_27', '7Networks_RH_SomMot_28', '7Networks_RH_SomMot_29', '7Networks_RH_SomMot_30', '7Networks_RH_SomMot_31', '7Networks_RH_SomMot_32', '7Networks_RH_SomMot_33', '7Networks_RH_SomMot_34', '7Networks_RH_SomMot_35', '7Networks_RH_SomMot_36', '7Networks_RH_SomMot_37', '7Networks_RH_SomMot_38', '7Networks_RH_SomMot_39', '7Networks_RH_SomMot_40', '7Networks_RH_DorsAttn_Post_1', '7Networks_RH_DorsAttn_Post_2', '7Networks_RH_DorsAttn_Post_3', '7Networks_RH_DorsAttn_Post_4', '7Networks_RH_DorsAttn_Post_5', '7Networks_RH_DorsAttn_Post_6', '7Networks_RH_DorsAttn_Post_7', '7Networks_RH_DorsAttn_Post_8', '7Networks_RH_DorsAttn_Post_9', '7Networks_RH_DorsAttn_Post_10', '7Networks_RH_DorsAttn_Post_11', '7Networks_RH_DorsAttn_Post_12', '7Networks_RH_DorsAttn_Post_13', '7Networks_RH_DorsAttn_Post_14', '7Networks_RH_DorsAttn_Post_15', '7Networks_RH_DorsAttn_Post_16', '7Networks_RH_DorsAttn_Post_17', '7Networks_RH_DorsAttn_Post_18', '7Networks_RH_DorsAttn_Post_19', '7Networks_RH_DorsAttn_FEF_1', '7Networks_RH_DorsAttn_FEF_2', '7Networks_RH_DorsAttn_FEF_3', '7Networks_RH_DorsAttn_PrCv_1', '7Networks_RH_SalVentAttn_TempOccPar_1', '7Networks_RH_SalVentAttn_TempOccPar_2', '7Networks_RH_SalVentAttn_TempOccPar_3', '7Networks_RH_SalVentAttn_TempOccPar_4', '7Networks_RH_SalVentAttn_TempOccPar_5', '7Networks_RH_SalVentAttn_TempOccPar_6', '7Networks_RH_SalVentAttn_TempOccPar_7', '7Networks_RH_SalVentAttn_PrC_1', '7Networks_RH_SalVentAttn_FrOperIns_1', '7Networks_RH_SalVentAttn_FrOperIns_2', '7Networks_RH_SalVentAttn_FrOperIns_3', '7Networks_RH_SalVentAttn_FrOperIns_4', '7Networks_RH_SalVentAttn_FrOperIns_5', '7Networks_RH_SalVentAttn_FrOperIns_6', '7Networks_RH_SalVentAttn_FrOperIns_7', '7Networks_RH_SalVentAttn_FrOperIns_8', '7Networks_RH_SalVentAttn_PFCl_1', '7Networks_RH_SalVentAttn_Med_1', '7Networks_RH_SalVentAttn_Med_2', '7Networks_RH_SalVentAttn_Med_3', '7Networks_RH_SalVentAttn_Med_4', '7Networks_RH_SalVentAttn_Med_5', '7Networks_RH_SalVentAttn_Med_6', '7Networks_RH_SalVentAttn_Med_7', '7Networks_RH_SalVentAttn_Med_8', '7Networks_RH_Limbic_OFC_1', '7Networks_RH_Limbic_OFC_2', '7Networks_RH_Limbic_OFC_3', '7Networks_RH_Limbic_OFC_4', '7Networks_RH_Limbic_OFC_5', '7Networks_RH_Limbic_OFC_6', '7Networks_RH_Limbic_TempPole_1', '7Networks_RH_Limbic_TempPole_2', '7Networks_RH_Limbic_TempPole_3', '7Networks_RH_Limbic_TempPole_4', '7Networks_RH_Limbic_TempPole_5', '7Networks_RH_Limbic_TempPole_6', '7Networks_RH_Limbic_TempPole_7', '7Networks_RH_Cont_Par_1', '7Networks_RH_Cont_Par_2', '7Networks_RH_Cont_Par_3', '7Networks_RH_Cont_Par_4', '7Networks_RH_Cont_Par_5', '7Networks_RH_Cont_Par_6', '7Networks_RH_Cont_Temp_1', '7Networks_RH_Cont_Temp_2', '7Networks_RH_Cont_PFCv_1', '7Networks_RH_Cont_PFCl_1', '7Networks_RH_Cont_PFCl_2', '7Networks_RH_Cont_PFCl_3', '7Networks_RH_Cont_PFCl_4', '7Networks_RH_Cont_PFCl_5', '7Networks_RH_Cont_PFCl_6', '7Networks_RH_Cont_PFCl_7', '7Networks_RH_Cont_PFCl_8', '7Networks_RH_Cont_PFCl_9', '7Networks_RH_Cont_PFCl_10', '7Networks_RH_Cont_PFCl_11', '7Networks_RH_Cont_PFCl_12', '7Networks_RH_Cont_PFCl_13', '7Networks_RH_Cont_PFCl_14', '7Networks_RH_Cont_PFCl_15', '7Networks_RH_Cont_pCun_1', '7Networks_RH_Cont_pCun_2', '7Networks_RH_Cont_Cing_1', '7Networks_RH_Cont_Cing_2', '7Networks_RH_Cont_PFCmp_1', '7Networks_RH_Cont_PFCmp_2', '7Networks_RH_Default_Par_1', '7Networks_RH_Default_Par_2', '7Networks_RH_Default_Par_3', '7Networks_RH_Default_Par_4', '7Networks_RH_Default_Par_5', '7Networks_RH_Default_Temp_1', '7Networks_RH_Default_Temp_2', '7Networks_RH_Default_Temp_3', '7Networks_RH_Default_Temp_4', '7Networks_RH_Default_Temp_5', '7Networks_RH_Default_Temp_6', '7Networks_RH_Default_Temp_7', '7Networks_RH_Default_Temp_8', '7Networks_RH_Default_PFCv_1', '7Networks_RH_Default_PFCv_2', '7Networks_RH_Default_PFCv_3', '7Networks_RH_Default_PFCv_4', '7Networks_RH_Default_PFCdPFCm_1', '7Networks_RH_Default_PFCdPFCm_2', '7Networks_RH_Default_PFCdPFCm_3', '7Networks_RH_Default_PFCdPFCm_4', '7Networks_RH_Default_PFCdPFCm_5', '7Networks_RH_Default_PFCdPFCm_6', '7Networks_RH_Default_PFCdPFCm_7', '7Networks_RH_Default_PFCdPFCm_8', '7Networks_RH_Default_PFCdPFCm_9', '7Networks_RH_Default_PFCdPFCm_10', '7Networks_RH_Default_PFCdPFCm_11', '7Networks_RH_Default_PFCdPFCm_12', '7Networks_RH_Default_PFCdPFCm_13', '7Networks_RH_Default_pCunPCC_1', '7Networks_RH_Default_pCunPCC_2', '7Networks_RH_Default_pCunPCC_3', '7Networks_RH_Default_pCunPCC_4', '7Networks_RH_Default_pCunPCC_5', '7Networks_RH_Default_pCunPCC_6', '7Networks_RH_Default_pCunPCC_7', '7Networks_RH_Default_pCunPCC_8', '7Networks_RH_Default_pCunPCC_9'] |
| labels_img | /home/remi/nilearn_data/schaefer_2018/Schaefer2018_400Parcels_7Networks_order_FSLMNI152_1mm.nii.gz |
| low_pass | None |
| mask_img | None |
| memory | Memory(location=None) |
| memory_level | 1 |
| reports | True |
| resampling_target | data |
| smoothing_fwhm | None |
| standardize | zscore_sample |
| standardize_confounds | True |
| strategy | mean |
| t_r | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
NiftiLabelsMasker Class for extracting data from Niimg-like objects using labels of non-overlapping brain regions. NiftiLabelsMasker is useful when data from non-overlapping volumes should be extracted (contrarily to :class:`nilearn.maskers.NiftiMapsMasker`). Use case: summarize brain signals from clusters that were obtained by prior K-means or Ward clustering. For more details on the definitions of labels in Nilearn, see the :ref:`region` section.
This reports shows the regions defined by the labels of the mask.
The masker has 400 different non-overlapping regions.
Regions summary
| label value | region name | size (in mm^3) | relative size (in %) |
|---|---|---|---|
| 1 | 7Networks_LH_Vis_1 | 2797 | 0.26 |
| 2 | 7Networks_LH_Vis_2 | 3344 | 0.32 |
| 3 | 7Networks_LH_Vis_3 | 2494 | 0.24 |
| 4 | 7Networks_LH_Vis_4 | 3169 | 0.3 |
| 5 | 7Networks_LH_Vis_5 | 3356 | 0.32 |
| 6 | 7Networks_LH_Vis_6 | 2827 | 0.27 |
| 7 | 7Networks_LH_Vis_7 | 1483 | 0.14 |
| 8 | 7Networks_LH_Vis_8 | 3737 | 0.35 |
| 9 | 7Networks_LH_Vis_9 | 2637 | 0.25 |
| 10 | 7Networks_LH_Vis_10 | 2175 | 0.21 |
| 11 | 7Networks_LH_Vis_11 | 2467 | 0.23 |
| 12 | 7Networks_LH_Vis_12 | 4236 | 0.4 |
| 13 | 7Networks_LH_Vis_13 | 946 | 0.09 |
| 14 | 7Networks_LH_Vis_14 | 3087 | 0.29 |
| 15 | 7Networks_LH_Vis_15 | 4087 | 0.39 |
| 16 | 7Networks_LH_Vis_16 | 1617 | 0.15 |
| 17 | 7Networks_LH_Vis_17 | 3440 | 0.33 |
| 18 | 7Networks_LH_Vis_18 | 3324 | 0.31 |
| 19 | 7Networks_LH_Vis_19 | 4720 | 0.45 |
| 20 | 7Networks_LH_Vis_20 | 970 | 0.09 |
| 21 | 7Networks_LH_Vis_21 | 3735 | 0.35 |
| 22 | 7Networks_LH_Vis_22 | 1941 | 0.18 |
| 23 | 7Networks_LH_Vis_23 | 4515 | 0.43 |
| 24 | 7Networks_LH_Vis_24 | 4743 | 0.45 |
| 25 | 7Networks_LH_Vis_25 | 3649 | 0.35 |
| 26 | 7Networks_LH_Vis_26 | 2251 | 0.21 |
| 27 | 7Networks_LH_Vis_27 | 2783 | 0.26 |
| 28 | 7Networks_LH_Vis_28 | 1842 | 0.17 |
| 29 | 7Networks_LH_Vis_29 | 2650 | 0.25 |
| 30 | 7Networks_LH_Vis_30 | 2025 | 0.19 |
| 31 | 7Networks_LH_Vis_31 | 2043 | 0.19 |
| 32 | 7Networks_LH_SomMot_1 | 3125 | 0.3 |
| 33 | 7Networks_LH_SomMot_2 | 3982 | 0.38 |
| 34 | 7Networks_LH_SomMot_3 | 1214 | 0.11 |
| 35 | 7Networks_LH_SomMot_4 | 1985 | 0.19 |
| 36 | 7Networks_LH_SomMot_5 | 1435 | 0.14 |
| 37 | 7Networks_LH_SomMot_6 | 2358 | 0.22 |
| 38 | 7Networks_LH_SomMot_7 | 1621 | 0.15 |
| 39 | 7Networks_LH_SomMot_8 | 1906 | 0.18 |
| 40 | 7Networks_LH_SomMot_9 | 1804 | 0.17 |
| 41 | 7Networks_LH_SomMot_10 | 1631 | 0.15 |
| 42 | 7Networks_LH_SomMot_11 | 1600 | 0.15 |
| 43 | 7Networks_LH_SomMot_12 | 2246 | 0.21 |
| 44 | 7Networks_LH_SomMot_13 | 1640 | 0.16 |
| 45 | 7Networks_LH_SomMot_14 | 1458 | 0.14 |
| 46 | 7Networks_LH_SomMot_15 | 1498 | 0.14 |
| 47 | 7Networks_LH_SomMot_16 | 2388 | 0.23 |
| 48 | 7Networks_LH_SomMot_17 | 1389 | 0.13 |
| 49 | 7Networks_LH_SomMot_18 | 2531 | 0.24 |
| 50 | 7Networks_LH_SomMot_19 | 1527 | 0.14 |
| 51 | 7Networks_LH_SomMot_20 | 1646 | 0.16 |
| 52 | 7Networks_LH_SomMot_21 | 2774 | 0.26 |
| 53 | 7Networks_LH_SomMot_22 | 983 | 0.09 |
| 54 | 7Networks_LH_SomMot_23 | 1095 | 0.1 |
| 55 | 7Networks_LH_SomMot_24 | 1694 | 0.16 |
| 56 | 7Networks_LH_SomMot_25 | 2019 | 0.19 |
| 57 | 7Networks_LH_SomMot_26 | 3730 | 0.35 |
| 58 | 7Networks_LH_SomMot_27 | 2757 | 0.26 |
| 59 | 7Networks_LH_SomMot_28 | 2131 | 0.2 |
| 60 | 7Networks_LH_SomMot_29 | 2245 | 0.21 |
| 61 | 7Networks_LH_SomMot_30 | 2919 | 0.28 |
| 62 | 7Networks_LH_SomMot_31 | 1098 | 0.1 |
| 63 | 7Networks_LH_SomMot_32 | 2162 | 0.2 |
| 64 | 7Networks_LH_SomMot_33 | 2717 | 0.26 |
| 65 | 7Networks_LH_SomMot_34 | 1836 | 0.17 |
| 66 | 7Networks_LH_SomMot_35 | 2186 | 0.21 |
| 67 | 7Networks_LH_SomMot_36 | 2064 | 0.2 |
| 68 | 7Networks_LH_SomMot_37 | 900 | 0.09 |
| 69 | 7Networks_LH_DorsAttn_Post_1 | 2928 | 0.28 |
| 70 | 7Networks_LH_DorsAttn_Post_2 | 4725 | 0.45 |
| 71 | 7Networks_LH_DorsAttn_Post_3 | 4434 | 0.42 |
| 72 | 7Networks_LH_DorsAttn_Post_4 | 2816 | 0.27 |
| 73 | 7Networks_LH_DorsAttn_Post_5 | 1339 | 0.13 |
| 74 | 7Networks_LH_DorsAttn_Post_6 | 2465 | 0.23 |
| 75 | 7Networks_LH_DorsAttn_Post_7 | 2058 | 0.19 |
| 76 | 7Networks_LH_DorsAttn_Post_8 | 1627 | 0.15 |
| 77 | 7Networks_LH_DorsAttn_Post_9 | 2012 | 0.19 |
| 78 | 7Networks_LH_DorsAttn_Post_10 | 1261 | 0.12 |
| 79 | 7Networks_LH_DorsAttn_Post_11 | 2319 | 0.22 |
| 80 | 7Networks_LH_DorsAttn_Post_12 | 1637 | 0.16 |
| 81 | 7Networks_LH_DorsAttn_Post_13 | 3135 | 0.3 |
| 82 | 7Networks_LH_DorsAttn_Post_14 | 1671 | 0.16 |
| 83 | 7Networks_LH_DorsAttn_Post_15 | 2224 | 0.21 |
| 84 | 7Networks_LH_DorsAttn_Post_16 | 2775 | 0.26 |
| 85 | 7Networks_LH_DorsAttn_Post_17 | 907 | 0.09 |
| 86 | 7Networks_LH_DorsAttn_FEF_1 | 2506 | 0.24 |
| 87 | 7Networks_LH_DorsAttn_FEF_2 | 2945 | 0.28 |
| 88 | 7Networks_LH_DorsAttn_FEF_3 | 1466 | 0.14 |
| 89 | 7Networks_LH_DorsAttn_FEF_4 | 3629 | 0.34 |
| 90 | 7Networks_LH_DorsAttn_PrCv_1 | 2462 | 0.23 |
| 91 | 7Networks_LH_DorsAttn_PrCv_2 | 2163 | 0.2 |
| 92 | 7Networks_LH_SalVentAttn_ParOper_1 | 3259 | 0.31 |
| 93 | 7Networks_LH_SalVentAttn_ParOper_2 | 2243 | 0.21 |
| 94 | 7Networks_LH_SalVentAttn_ParOper_3 | 3228 | 0.31 |
| 95 | 7Networks_LH_SalVentAttn_ParOper_4 | 2395 | 0.23 |
| 96 | 7Networks_LH_SalVentAttn_TempOcc_1 | 2904 | 0.28 |
| 97 | 7Networks_LH_SalVentAttn_FrOperIns_1 | 2167 | 0.21 |
| 98 | 7Networks_LH_SalVentAttn_FrOperIns_2 | 3768 | 0.36 |
| 99 | 7Networks_LH_SalVentAttn_FrOperIns_3 | 1619 | 0.15 |
| 100 | 7Networks_LH_SalVentAttn_FrOperIns_4 | 1866 | 0.18 |
| 101 | 7Networks_LH_SalVentAttn_FrOperIns_5 | 1993 | 0.19 |
| 102 | 7Networks_LH_SalVentAttn_FrOperIns_6 | 1122 | 0.11 |
| 103 | 7Networks_LH_SalVentAttn_FrOperIns_7 | 1289 | 0.12 |
| 104 | 7Networks_LH_SalVentAttn_FrOperIns_8 | 2155 | 0.2 |
| 105 | 7Networks_LH_SalVentAttn_FrOperIns_9 | 2617 | 0.25 |
| 106 | 7Networks_LH_SalVentAttn_PFCl_1 | 5177 | 0.49 |
| 107 | 7Networks_LH_SalVentAttn_Med_1 | 3120 | 0.3 |
| 108 | 7Networks_LH_SalVentAttn_Med_2 | 3040 | 0.29 |
| 109 | 7Networks_LH_SalVentAttn_Med_3 | 2278 | 0.22 |
| 110 | 7Networks_LH_SalVentAttn_Med_4 | 3132 | 0.3 |
| 111 | 7Networks_LH_SalVentAttn_Med_5 | 1361 | 0.13 |
| 112 | 7Networks_LH_SalVentAttn_Med_6 | 2074 | 0.2 |
| 113 | 7Networks_LH_SalVentAttn_Med_7 | 1638 | 0.16 |
| 114 | 7Networks_LH_Limbic_OFC_1 | 2446 | 0.23 |
| 115 | 7Networks_LH_Limbic_OFC_2 | 4203 | 0.4 |
| 116 | 7Networks_LH_Limbic_OFC_3 | 4903 | 0.46 |
| 117 | 7Networks_LH_Limbic_OFC_4 | 3084 | 0.29 |
| 118 | 7Networks_LH_Limbic_OFC_5 | 3691 | 0.35 |
| 119 | 7Networks_LH_Limbic_TempPole_1 | 4998 | 0.47 |
| 120 | 7Networks_LH_Limbic_TempPole_2 | 3186 | 0.3 |
| 121 | 7Networks_LH_Limbic_TempPole_3 | 2555 | 0.24 |
| 122 | 7Networks_LH_Limbic_TempPole_4 | 3644 | 0.35 |
| 123 | 7Networks_LH_Limbic_TempPole_5 | 3152 | 0.3 |
| 124 | 7Networks_LH_Limbic_TempPole_6 | 6058 | 0.57 |
| 125 | 7Networks_LH_Limbic_TempPole_7 | 3392 | 0.32 |
| 126 | 7Networks_LH_Limbic_TempPole_8 | 1582 | 0.15 |
| 127 | 7Networks_LH_Cont_Par_1 | 2154 | 0.2 |
| 128 | 7Networks_LH_Cont_Par_2 | 1550 | 0.15 |
| 129 | 7Networks_LH_Cont_Par_3 | 2478 | 0.23 |
| 130 | 7Networks_LH_Cont_Par_4 | 2594 | 0.25 |
| 131 | 7Networks_LH_Cont_Par_5 | 1256 | 0.12 |
| 132 | 7Networks_LH_Cont_Par_6 | 2649 | 0.25 |
| 133 | 7Networks_LH_Cont_Temp_1 | 3327 | 0.32 |
| 134 | 7Networks_LH_Cont_OFC_1 | 2836 | 0.27 |
| 135 | 7Networks_LH_Cont_PFCl_1 | 4475 | 0.42 |
| 136 | 7Networks_LH_Cont_PFCl_2 | 3065 | 0.29 |
| 137 | 7Networks_LH_Cont_PFCl_3 | 3717 | 0.35 |
| 138 | 7Networks_LH_Cont_PFCl_4 | 3238 | 0.31 |
| 139 | 7Networks_LH_Cont_PFCl_5 | 4403 | 0.42 |
| 140 | 7Networks_LH_Cont_PFCl_6 | 5773 | 0.55 |
| 141 | 7Networks_LH_Cont_PFCl_7 | 1920 | 0.18 |
| 142 | 7Networks_LH_Cont_PFCl_8 | 3118 | 0.3 |
| 143 | 7Networks_LH_Cont_PFCv_1 | 1372 | 0.13 |
| 144 | 7Networks_LH_Cont_pCun_1 | 2110 | 0.2 |
| 145 | 7Networks_LH_Cont_pCun_2 | 2037 | 0.19 |
| 146 | 7Networks_LH_Cont_Cing_1 | 1143 | 0.11 |
| 147 | 7Networks_LH_Cont_Cing_2 | 1000 | 0.09 |
| 148 | 7Networks_LH_Cont_PFCmp_1 | 3665 | 0.35 |
| 149 | 7Networks_LH_Default_Temp_1 | 4224 | 0.4 |
| 150 | 7Networks_LH_Default_Temp_2 | 3593 | 0.34 |
| 151 | 7Networks_LH_Default_Temp_3 | 4399 | 0.42 |
| 152 | 7Networks_LH_Default_Temp_4 | 4126 | 0.39 |
| 153 | 7Networks_LH_Default_Temp_5 | 3453 | 0.33 |
| 154 | 7Networks_LH_Default_Temp_6 | 4103 | 0.39 |
| 155 | 7Networks_LH_Default_Temp_7 | 1869 | 0.18 |
| 156 | 7Networks_LH_Default_Temp_8 | 1898 | 0.18 |
| 157 | 7Networks_LH_Default_Temp_9 | 2637 | 0.25 |
| 158 | 7Networks_LH_Default_Temp_10 | 1869 | 0.18 |
| 159 | 7Networks_LH_Default_Par_1 | 2029 | 0.19 |
| 160 | 7Networks_LH_Default_Par_2 | 2312 | 0.22 |
| 161 | 7Networks_LH_Default_Par_3 | 3700 | 0.35 |
| 162 | 7Networks_LH_Default_Par_4 | 3710 | 0.35 |
| 163 | 7Networks_LH_Default_Par_5 | 3037 | 0.29 |
| 164 | 7Networks_LH_Default_Par_6 | 3557 | 0.34 |
| 165 | 7Networks_LH_Default_Par_7 | 2409 | 0.23 |
| 166 | 7Networks_LH_Default_PFC_1 | 3355 | 0.32 |
| 167 | 7Networks_LH_Default_PFC_2 | 1808 | 0.17 |
| 168 | 7Networks_LH_Default_PFC_3 | 2835 | 0.27 |
| 169 | 7Networks_LH_Default_PFC_4 | 3676 | 0.35 |
| 170 | 7Networks_LH_Default_PFC_5 | 2553 | 0.24 |
| 171 | 7Networks_LH_Default_PFC_6 | 2539 | 0.24 |
| 172 | 7Networks_LH_Default_PFC_7 | 3115 | 0.3 |
| 173 | 7Networks_LH_Default_PFC_8 | 1999 | 0.19 |
| 174 | 7Networks_LH_Default_PFC_9 | 4263 | 0.4 |
| 175 | 7Networks_LH_Default_PFC_10 | 4058 | 0.38 |
| 176 | 7Networks_LH_Default_PFC_11 | 2678 | 0.25 |
| 177 | 7Networks_LH_Default_PFC_12 | 3642 | 0.34 |
| 178 | 7Networks_LH_Default_PFC_13 | 6330 | 0.6 |
| 179 | 7Networks_LH_Default_PFC_14 | 3765 | 0.36 |
| 180 | 7Networks_LH_Default_PFC_15 | 3346 | 0.32 |
| 181 | 7Networks_LH_Default_PFC_16 | 2194 | 0.21 |
| 182 | 7Networks_LH_Default_PFC_17 | 4307 | 0.41 |
| 183 | 7Networks_LH_Default_PFC_18 | 1905 | 0.18 |
| 184 | 7Networks_LH_Default_PFC_19 | 2128 | 0.2 |
| 185 | 7Networks_LH_Default_PFC_20 | 3289 | 0.31 |
| 186 | 7Networks_LH_Default_PFC_21 | 2234 | 0.21 |
| 187 | 7Networks_LH_Default_PFC_22 | 2003 | 0.19 |
| 188 | 7Networks_LH_Default_PFC_23 | 3089 | 0.29 |
| 189 | 7Networks_LH_Default_PFC_24 | 3270 | 0.31 |
| 190 | 7Networks_LH_Default_pCunPCC_1 | 1375 | 0.13 |
| 191 | 7Networks_LH_Default_pCunPCC_2 | 2153 | 0.2 |
| 192 | 7Networks_LH_Default_pCunPCC_3 | 1691 | 0.16 |
| 193 | 7Networks_LH_Default_pCunPCC_4 | 679 | 0.06 |
| 194 | 7Networks_LH_Default_pCunPCC_5 | 2054 | 0.19 |
| 195 | 7Networks_LH_Default_pCunPCC_6 | 2807 | 0.27 |
| 196 | 7Networks_LH_Default_pCunPCC_7 | 2021 | 0.19 |
| 197 | 7Networks_LH_Default_pCunPCC_8 | 1792 | 0.17 |
| 198 | 7Networks_LH_Default_pCunPCC_9 | 1539 | 0.15 |
| 199 | 7Networks_LH_Default_pCunPCC_10 | 1190 | 0.11 |
| 200 | 7Networks_LH_Default_pCunPCC_11 | 3095 | 0.29 |
| 201 | 7Networks_RH_Vis_1 | 2934 | 0.28 |
| 202 | 7Networks_RH_Vis_2 | 2806 | 0.27 |
| 203 | 7Networks_RH_Vis_3 | 2725 | 0.26 |
| 204 | 7Networks_RH_Vis_4 | 3045 | 0.29 |
| 205 | 7Networks_RH_Vis_5 | 3603 | 0.34 |
| 206 | 7Networks_RH_Vis_6 | 4391 | 0.42 |
| 207 | 7Networks_RH_Vis_7 | 1078 | 0.1 |
| 208 | 7Networks_RH_Vis_8 | 2207 | 0.21 |
| 209 | 7Networks_RH_Vis_9 | 4487 | 0.43 |
| 210 | 7Networks_RH_Vis_10 | 2148 | 0.2 |
| 211 | 7Networks_RH_Vis_11 | 2630 | 0.25 |
| 212 | 7Networks_RH_Vis_12 | 2769 | 0.26 |
| 213 | 7Networks_RH_Vis_13 | 3450 | 0.33 |
| 214 | 7Networks_RH_Vis_14 | 1730 | 0.16 |
| 215 | 7Networks_RH_Vis_15 | 5861 | 0.56 |
| 216 | 7Networks_RH_Vis_16 | 5082 | 0.48 |
| 217 | 7Networks_RH_Vis_17 | 973 | 0.09 |
| 218 | 7Networks_RH_Vis_18 | 3054 | 0.29 |
| 219 | 7Networks_RH_Vis_19 | 5048 | 0.48 |
| 220 | 7Networks_RH_Vis_20 | 2544 | 0.24 |
| 221 | 7Networks_RH_Vis_21 | 2453 | 0.23 |
| 222 | 7Networks_RH_Vis_22 | 4590 | 0.43 |
| 223 | 7Networks_RH_Vis_23 | 3764 | 0.36 |
| 224 | 7Networks_RH_Vis_24 | 2637 | 0.25 |
| 225 | 7Networks_RH_Vis_25 | 2466 | 0.23 |
| 226 | 7Networks_RH_Vis_26 | 3733 | 0.35 |
| 227 | 7Networks_RH_Vis_27 | 2401 | 0.23 |
| 228 | 7Networks_RH_Vis_28 | 2826 | 0.27 |
| 229 | 7Networks_RH_Vis_29 | 3410 | 0.32 |
| 230 | 7Networks_RH_Vis_30 | 2551 | 0.24 |
| 231 | 7Networks_RH_SomMot_1 | 3905 | 0.37 |
| 232 | 7Networks_RH_SomMot_2 | 3220 | 0.31 |
| 233 | 7Networks_RH_SomMot_3 | 3460 | 0.33 |
| 234 | 7Networks_RH_SomMot_4 | 1224 | 0.12 |
| 235 | 7Networks_RH_SomMot_5 | 967 | 0.09 |
| 236 | 7Networks_RH_SomMot_6 | 832 | 0.08 |
| 237 | 7Networks_RH_SomMot_7 | 2511 | 0.24 |
| 238 | 7Networks_RH_SomMot_8 | 2017 | 0.19 |
| 239 | 7Networks_RH_SomMot_9 | 858 | 0.08 |
| 240 | 7Networks_RH_SomMot_10 | 1987 | 0.19 |
| 241 | 7Networks_RH_SomMot_11 | 1161 | 0.11 |
| 242 | 7Networks_RH_SomMot_12 | 2054 | 0.19 |
| 243 | 7Networks_RH_SomMot_13 | 1355 | 0.13 |
| 244 | 7Networks_RH_SomMot_14 | 1396 | 0.13 |
| 245 | 7Networks_RH_SomMot_15 | 1257 | 0.12 |
| 246 | 7Networks_RH_SomMot_16 | 3751 | 0.36 |
| 247 | 7Networks_RH_SomMot_17 | 1974 | 0.19 |
| 248 | 7Networks_RH_SomMot_18 | 2033 | 0.19 |
| 249 | 7Networks_RH_SomMot_19 | 1090 | 0.1 |
| 250 | 7Networks_RH_SomMot_20 | 1375 | 0.13 |
| 251 | 7Networks_RH_SomMot_21 | 1435 | 0.14 |
| 252 | 7Networks_RH_SomMot_22 | 1822 | 0.17 |
| 253 | 7Networks_RH_SomMot_23 | 2608 | 0.25 |
| 254 | 7Networks_RH_SomMot_24 | 3085 | 0.29 |
| 255 | 7Networks_RH_SomMot_25 | 1491 | 0.14 |
| 256 | 7Networks_RH_SomMot_26 | 3115 | 0.3 |
| 257 | 7Networks_RH_SomMot_27 | 1377 | 0.13 |
| 258 | 7Networks_RH_SomMot_28 | 1917 | 0.18 |
| 259 | 7Networks_RH_SomMot_29 | 1577 | 0.15 |
| 260 | 7Networks_RH_SomMot_30 | 2239 | 0.21 |
| 261 | 7Networks_RH_SomMot_31 | 2031 | 0.19 |
| 262 | 7Networks_RH_SomMot_32 | 2054 | 0.19 |
| 263 | 7Networks_RH_SomMot_33 | 999 | 0.09 |
| 264 | 7Networks_RH_SomMot_34 | 1062 | 0.1 |
| 265 | 7Networks_RH_SomMot_35 | 1246 | 0.12 |
| 266 | 7Networks_RH_SomMot_36 | 1796 | 0.17 |
| 267 | 7Networks_RH_SomMot_37 | 1955 | 0.19 |
| 268 | 7Networks_RH_SomMot_38 | 2136 | 0.2 |
| 269 | 7Networks_RH_SomMot_39 | 2202 | 0.21 |
| 270 | 7Networks_RH_SomMot_40 | 1156 | 0.11 |
| 271 | 7Networks_RH_DorsAttn_Post_1 | 5818 | 0.55 |
| 272 | 7Networks_RH_DorsAttn_Post_2 | 2743 | 0.26 |
| 273 | 7Networks_RH_DorsAttn_Post_3 | 2663 | 0.25 |
| 274 | 7Networks_RH_DorsAttn_Post_4 | 3382 | 0.32 |
| 275 | 7Networks_RH_DorsAttn_Post_5 | 2181 | 0.21 |
| 276 | 7Networks_RH_DorsAttn_Post_6 | 1327 | 0.13 |
| 277 | 7Networks_RH_DorsAttn_Post_7 | 1054 | 0.1 |
| 278 | 7Networks_RH_DorsAttn_Post_8 | 1789 | 0.17 |
| 279 | 7Networks_RH_DorsAttn_Post_9 | 1699 | 0.16 |
| 280 | 7Networks_RH_DorsAttn_Post_10 | 1716 | 0.16 |
| 281 | 7Networks_RH_DorsAttn_Post_11 | 2379 | 0.23 |
| 282 | 7Networks_RH_DorsAttn_Post_12 | 2962 | 0.28 |
| 283 | 7Networks_RH_DorsAttn_Post_13 | 1757 | 0.17 |
| 284 | 7Networks_RH_DorsAttn_Post_14 | 3113 | 0.29 |
| 285 | 7Networks_RH_DorsAttn_Post_15 | 2235 | 0.21 |
| 286 | 7Networks_RH_DorsAttn_Post_16 | 3204 | 0.3 |
| 287 | 7Networks_RH_DorsAttn_Post_17 | 4108 | 0.39 |
| 288 | 7Networks_RH_DorsAttn_Post_18 | 2070 | 0.2 |
| 289 | 7Networks_RH_DorsAttn_Post_19 | 2890 | 0.27 |
| 290 | 7Networks_RH_DorsAttn_FEF_1 | 2588 | 0.25 |
| 291 | 7Networks_RH_DorsAttn_FEF_2 | 2385 | 0.23 |
| 292 | 7Networks_RH_DorsAttn_FEF_3 | 1273 | 0.12 |
| 293 | 7Networks_RH_DorsAttn_PrCv_1 | 3134 | 0.3 |
| 294 | 7Networks_RH_SalVentAttn_TempOccPar_1 | 2037 | 0.19 |
| 295 | 7Networks_RH_SalVentAttn_TempOccPar_2 | 1460 | 0.14 |
| 296 | 7Networks_RH_SalVentAttn_TempOccPar_3 | 1438 | 0.14 |
| 297 | 7Networks_RH_SalVentAttn_TempOccPar_4 | 2755 | 0.26 |
| 298 | 7Networks_RH_SalVentAttn_TempOccPar_5 | 2411 | 0.23 |
| 299 | 7Networks_RH_SalVentAttn_TempOccPar_6 | 2410 | 0.23 |
| 300 | 7Networks_RH_SalVentAttn_TempOccPar_7 | 2719 | 0.26 |
| 301 | 7Networks_RH_SalVentAttn_PrC_1 | 2561 | 0.24 |
| 302 | 7Networks_RH_SalVentAttn_FrOperIns_1 | 2269 | 0.21 |
| 303 | 7Networks_RH_SalVentAttn_FrOperIns_2 | 2104 | 0.2 |
| 304 | 7Networks_RH_SalVentAttn_FrOperIns_3 | 2053 | 0.19 |
| 305 | 7Networks_RH_SalVentAttn_FrOperIns_4 | 1384 | 0.13 |
| 306 | 7Networks_RH_SalVentAttn_FrOperIns_5 | 3487 | 0.33 |
| 307 | 7Networks_RH_SalVentAttn_FrOperIns_6 | 1230 | 0.12 |
| 308 | 7Networks_RH_SalVentAttn_FrOperIns_7 | 2449 | 0.23 |
| 309 | 7Networks_RH_SalVentAttn_FrOperIns_8 | 2565 | 0.24 |
| 310 | 7Networks_RH_SalVentAttn_PFCl_1 | 5188 | 0.49 |
| 311 | 7Networks_RH_SalVentAttn_Med_1 | 4518 | 0.43 |
| 312 | 7Networks_RH_SalVentAttn_Med_2 | 3572 | 0.34 |
| 313 | 7Networks_RH_SalVentAttn_Med_3 | 1971 | 0.19 |
| 314 | 7Networks_RH_SalVentAttn_Med_4 | 1775 | 0.17 |
| 315 | 7Networks_RH_SalVentAttn_Med_5 | 1357 | 0.13 |
| 316 | 7Networks_RH_SalVentAttn_Med_6 | 1497 | 0.14 |
| 317 | 7Networks_RH_SalVentAttn_Med_7 | 2485 | 0.24 |
| 318 | 7Networks_RH_SalVentAttn_Med_8 | 1314 | 0.12 |
| 319 | 7Networks_RH_Limbic_OFC_1 | 2539 | 0.24 |
| 320 | 7Networks_RH_Limbic_OFC_2 | 2823 | 0.27 |
| 321 | 7Networks_RH_Limbic_OFC_3 | 2986 | 0.28 |
| 322 | 7Networks_RH_Limbic_OFC_4 | 1845 | 0.17 |
| 323 | 7Networks_RH_Limbic_OFC_5 | 2482 | 0.24 |
| 324 | 7Networks_RH_Limbic_OFC_6 | 2598 | 0.25 |
| 325 | 7Networks_RH_Limbic_TempPole_1 | 5576 | 0.53 |
| 326 | 7Networks_RH_Limbic_TempPole_2 | 4643 | 0.44 |
| 327 | 7Networks_RH_Limbic_TempPole_3 | 3160 | 0.3 |
| 328 | 7Networks_RH_Limbic_TempPole_4 | 3766 | 0.36 |
| 329 | 7Networks_RH_Limbic_TempPole_5 | 3732 | 0.35 |
| 330 | 7Networks_RH_Limbic_TempPole_6 | 3450 | 0.33 |
| 331 | 7Networks_RH_Limbic_TempPole_7 | 2312 | 0.22 |
| 332 | 7Networks_RH_Cont_Par_1 | 3468 | 0.33 |
| 333 | 7Networks_RH_Cont_Par_2 | 2052 | 0.19 |
| 334 | 7Networks_RH_Cont_Par_3 | 2177 | 0.21 |
| 335 | 7Networks_RH_Cont_Par_4 | 1395 | 0.13 |
| 336 | 7Networks_RH_Cont_Par_5 | 1255 | 0.12 |
| 337 | 7Networks_RH_Cont_Par_6 | 2835 | 0.27 |
| 338 | 7Networks_RH_Cont_Temp_1 | 4452 | 0.42 |
| 339 | 7Networks_RH_Cont_Temp_2 | 3673 | 0.35 |
| 340 | 7Networks_RH_Cont_PFCv_1 | 1673 | 0.16 |
| 341 | 7Networks_RH_Cont_PFCl_1 | 3324 | 0.31 |
| 342 | 7Networks_RH_Cont_PFCl_2 | 4081 | 0.39 |
| 343 | 7Networks_RH_Cont_PFCl_3 | 7218 | 0.68 |
| 344 | 7Networks_RH_Cont_PFCl_4 | 2277 | 0.22 |
| 345 | 7Networks_RH_Cont_PFCl_5 | 5134 | 0.49 |
| 346 | 7Networks_RH_Cont_PFCl_6 | 2325 | 0.22 |
| 347 | 7Networks_RH_Cont_PFCl_7 | 2242 | 0.21 |
| 348 | 7Networks_RH_Cont_PFCl_8 | 3258 | 0.31 |
| 349 | 7Networks_RH_Cont_PFCl_9 | 3209 | 0.3 |
| 350 | 7Networks_RH_Cont_PFCl_10 | 2750 | 0.26 |
| 351 | 7Networks_RH_Cont_PFCl_11 | 3010 | 0.29 |
| 352 | 7Networks_RH_Cont_PFCl_12 | 4138 | 0.39 |
| 353 | 7Networks_RH_Cont_PFCl_13 | 2309 | 0.22 |
| 354 | 7Networks_RH_Cont_PFCl_14 | 4195 | 0.4 |
| 355 | 7Networks_RH_Cont_PFCl_15 | 3527 | 0.33 |
| 356 | 7Networks_RH_Cont_pCun_1 | 2471 | 0.23 |
| 357 | 7Networks_RH_Cont_pCun_2 | 1704 | 0.16 |
| 358 | 7Networks_RH_Cont_Cing_1 | 1170 | 0.11 |
| 359 | 7Networks_RH_Cont_Cing_2 | 947 | 0.09 |
| 360 | 7Networks_RH_Cont_PFCmp_1 | 3487 | 0.33 |
| 361 | 7Networks_RH_Cont_PFCmp_2 | 2635 | 0.25 |
| 362 | 7Networks_RH_Default_Par_1 | 1570 | 0.15 |
| 363 | 7Networks_RH_Default_Par_2 | 3763 | 0.36 |
| 364 | 7Networks_RH_Default_Par_3 | 3743 | 0.35 |
| 365 | 7Networks_RH_Default_Par_4 | 1851 | 0.18 |
| 366 | 7Networks_RH_Default_Par_5 | 3437 | 0.33 |
| 367 | 7Networks_RH_Default_Temp_1 | 4435 | 0.42 |
| 368 | 7Networks_RH_Default_Temp_2 | 4737 | 0.45 |
| 369 | 7Networks_RH_Default_Temp_3 | 3093 | 0.29 |
| 370 | 7Networks_RH_Default_Temp_4 | 4734 | 0.45 |
| 371 | 7Networks_RH_Default_Temp_5 | 2674 | 0.25 |
| 372 | 7Networks_RH_Default_Temp_6 | 1215 | 0.12 |
| 373 | 7Networks_RH_Default_Temp_7 | 1539 | 0.15 |
| 374 | 7Networks_RH_Default_Temp_8 | 2479 | 0.23 |
| 375 | 7Networks_RH_Default_PFCv_1 | 2789 | 0.26 |
| 376 | 7Networks_RH_Default_PFCv_2 | 2264 | 0.21 |
| 377 | 7Networks_RH_Default_PFCv_3 | 3995 | 0.38 |
| 378 | 7Networks_RH_Default_PFCv_4 | 4172 | 0.4 |
| 379 | 7Networks_RH_Default_PFCdPFCm_1 | 5339 | 0.51 |
| 380 | 7Networks_RH_Default_PFCdPFCm_2 | 2543 | 0.24 |
| 381 | 7Networks_RH_Default_PFCdPFCm_3 | 3908 | 0.37 |
| 382 | 7Networks_RH_Default_PFCdPFCm_4 | 4657 | 0.44 |
| 383 | 7Networks_RH_Default_PFCdPFCm_5 | 3189 | 0.3 |
| 384 | 7Networks_RH_Default_PFCdPFCm_6 | 1335 | 0.13 |
| 385 | 7Networks_RH_Default_PFCdPFCm_7 | 2440 | 0.23 |
| 386 | 7Networks_RH_Default_PFCdPFCm_8 | 2939 | 0.28 |
| 387 | 7Networks_RH_Default_PFCdPFCm_9 | 2274 | 0.22 |
| 388 | 7Networks_RH_Default_PFCdPFCm_10 | 3250 | 0.31 |
| 389 | 7Networks_RH_Default_PFCdPFCm_11 | 3622 | 0.34 |
| 390 | 7Networks_RH_Default_PFCdPFCm_12 | 3086 | 0.29 |
| 391 | 7Networks_RH_Default_PFCdPFCm_13 | 3219 | 0.3 |
| 392 | 7Networks_RH_Default_pCunPCC_1 | 3109 | 0.29 |
| 393 | 7Networks_RH_Default_pCunPCC_2 | 454 | 0.04 |
| 394 | 7Networks_RH_Default_pCunPCC_3 | 1290 | 0.12 |
| 395 | 7Networks_RH_Default_pCunPCC_4 | 2152 | 0.2 |
| 396 | 7Networks_RH_Default_pCunPCC_5 | 1397 | 0.13 |
| 397 | 7Networks_RH_Default_pCunPCC_6 | 2835 | 0.27 |
| 398 | 7Networks_RH_Default_pCunPCC_7 | 2047 | 0.19 |
| 399 | 7Networks_RH_Default_pCunPCC_8 | 1402 | 0.13 |
| 400 | 7Networks_RH_Default_pCunPCC_9 | 1991 | 0.19 |
Parameters
| Parameter | Value |
|---|---|
| background_label | 0 |
| detrend | False |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| keep_masked_labels | True |
| labels | ['Background', '7Networks_LH_Vis_1', '7Networks_LH_Vis_2', '7Networks_LH_Vis_3', '7Networks_LH_Vis_4', '7Networks_LH_Vis_5', '7Networks_LH_Vis_6', '7Networks_LH_Vis_7', '7Networks_LH_Vis_8', '7Networks_LH_Vis_9', '7Networks_LH_Vis_10', '7Networks_LH_Vis_11', '7Networks_LH_Vis_12', '7Networks_LH_Vis_13', '7Networks_LH_Vis_14', '7Networks_LH_Vis_15', '7Networks_LH_Vis_16', '7Networks_LH_Vis_17', '7Networks_LH_Vis_18', '7Networks_LH_Vis_19', '7Networks_LH_Vis_20', '7Networks_LH_Vis_21', '7Networks_LH_Vis_22', '7Networks_LH_Vis_23', '7Networks_LH_Vis_24', '7Networks_LH_Vis_25', '7Networks_LH_Vis_26', '7Networks_LH_Vis_27', '7Networks_LH_Vis_28', '7Networks_LH_Vis_29', '7Networks_LH_Vis_30', '7Networks_LH_Vis_31', '7Networks_LH_SomMot_1', '7Networks_LH_SomMot_2', '7Networks_LH_SomMot_3', '7Networks_LH_SomMot_4', '7Networks_LH_SomMot_5', '7Networks_LH_SomMot_6', '7Networks_LH_SomMot_7', '7Networks_LH_SomMot_8', '7Networks_LH_SomMot_9', '7Networks_LH_SomMot_10', '7Networks_LH_SomMot_11', '7Networks_LH_SomMot_12', '7Networks_LH_SomMot_13', '7Networks_LH_SomMot_14', '7Networks_LH_SomMot_15', '7Networks_LH_SomMot_16', '7Networks_LH_SomMot_17', '7Networks_LH_SomMot_18', '7Networks_LH_SomMot_19', '7Networks_LH_SomMot_20', '7Networks_LH_SomMot_21', '7Networks_LH_SomMot_22', '7Networks_LH_SomMot_23', '7Networks_LH_SomMot_24', '7Networks_LH_SomMot_25', '7Networks_LH_SomMot_26', '7Networks_LH_SomMot_27', '7Networks_LH_SomMot_28', '7Networks_LH_SomMot_29', '7Networks_LH_SomMot_30', '7Networks_LH_SomMot_31', '7Networks_LH_SomMot_32', '7Networks_LH_SomMot_33', '7Networks_LH_SomMot_34', '7Networks_LH_SomMot_35', '7Networks_LH_SomMot_36', '7Networks_LH_SomMot_37', '7Networks_LH_DorsAttn_Post_1', '7Networks_LH_DorsAttn_Post_2', '7Networks_LH_DorsAttn_Post_3', '7Networks_LH_DorsAttn_Post_4', '7Networks_LH_DorsAttn_Post_5', '7Networks_LH_DorsAttn_Post_6', '7Networks_LH_DorsAttn_Post_7', '7Networks_LH_DorsAttn_Post_8', '7Networks_LH_DorsAttn_Post_9', '7Networks_LH_DorsAttn_Post_10', '7Networks_LH_DorsAttn_Post_11', '7Networks_LH_DorsAttn_Post_12', '7Networks_LH_DorsAttn_Post_13', '7Networks_LH_DorsAttn_Post_14', '7Networks_LH_DorsAttn_Post_15', '7Networks_LH_DorsAttn_Post_16', '7Networks_LH_DorsAttn_Post_17', '7Networks_LH_DorsAttn_FEF_1', '7Networks_LH_DorsAttn_FEF_2', '7Networks_LH_DorsAttn_FEF_3', '7Networks_LH_DorsAttn_FEF_4', '7Networks_LH_DorsAttn_PrCv_1', '7Networks_LH_DorsAttn_PrCv_2', '7Networks_LH_SalVentAttn_ParOper_1', '7Networks_LH_SalVentAttn_ParOper_2', '7Networks_LH_SalVentAttn_ParOper_3', '7Networks_LH_SalVentAttn_ParOper_4', '7Networks_LH_SalVentAttn_TempOcc_1', '7Networks_LH_SalVentAttn_FrOperIns_1', '7Networks_LH_SalVentAttn_FrOperIns_2', '7Networks_LH_SalVentAttn_FrOperIns_3', '7Networks_LH_SalVentAttn_FrOperIns_4', '7Networks_LH_SalVentAttn_FrOperIns_5', '7Networks_LH_SalVentAttn_FrOperIns_6', '7Networks_LH_SalVentAttn_FrOperIns_7', '7Networks_LH_SalVentAttn_FrOperIns_8', '7Networks_LH_SalVentAttn_FrOperIns_9', '7Networks_LH_SalVentAttn_PFCl_1', '7Networks_LH_SalVentAttn_Med_1', '7Networks_LH_SalVentAttn_Med_2', '7Networks_LH_SalVentAttn_Med_3', '7Networks_LH_SalVentAttn_Med_4', '7Networks_LH_SalVentAttn_Med_5', '7Networks_LH_SalVentAttn_Med_6', '7Networks_LH_SalVentAttn_Med_7', '7Networks_LH_Limbic_OFC_1', '7Networks_LH_Limbic_OFC_2', '7Networks_LH_Limbic_OFC_3', '7Networks_LH_Limbic_OFC_4', '7Networks_LH_Limbic_OFC_5', '7Networks_LH_Limbic_TempPole_1', '7Networks_LH_Limbic_TempPole_2', '7Networks_LH_Limbic_TempPole_3', '7Networks_LH_Limbic_TempPole_4', '7Networks_LH_Limbic_TempPole_5', '7Networks_LH_Limbic_TempPole_6', '7Networks_LH_Limbic_TempPole_7', '7Networks_LH_Limbic_TempPole_8', '7Networks_LH_Cont_Par_1', '7Networks_LH_Cont_Par_2', '7Networks_LH_Cont_Par_3', '7Networks_LH_Cont_Par_4', '7Networks_LH_Cont_Par_5', '7Networks_LH_Cont_Par_6', '7Networks_LH_Cont_Temp_1', '7Networks_LH_Cont_OFC_1', '7Networks_LH_Cont_PFCl_1', '7Networks_LH_Cont_PFCl_2', '7Networks_LH_Cont_PFCl_3', '7Networks_LH_Cont_PFCl_4', '7Networks_LH_Cont_PFCl_5', '7Networks_LH_Cont_PFCl_6', '7Networks_LH_Cont_PFCl_7', '7Networks_LH_Cont_PFCl_8', '7Networks_LH_Cont_PFCv_1', '7Networks_LH_Cont_pCun_1', '7Networks_LH_Cont_pCun_2', '7Networks_LH_Cont_Cing_1', '7Networks_LH_Cont_Cing_2', '7Networks_LH_Cont_PFCmp_1', '7Networks_LH_Default_Temp_1', '7Networks_LH_Default_Temp_2', '7Networks_LH_Default_Temp_3', '7Networks_LH_Default_Temp_4', '7Networks_LH_Default_Temp_5', '7Networks_LH_Default_Temp_6', '7Networks_LH_Default_Temp_7', '7Networks_LH_Default_Temp_8', '7Networks_LH_Default_Temp_9', '7Networks_LH_Default_Temp_10', '7Networks_LH_Default_Par_1', '7Networks_LH_Default_Par_2', '7Networks_LH_Default_Par_3', '7Networks_LH_Default_Par_4', '7Networks_LH_Default_Par_5', '7Networks_LH_Default_Par_6', '7Networks_LH_Default_Par_7', '7Networks_LH_Default_PFC_1', '7Networks_LH_Default_PFC_2', '7Networks_LH_Default_PFC_3', '7Networks_LH_Default_PFC_4', '7Networks_LH_Default_PFC_5', '7Networks_LH_Default_PFC_6', '7Networks_LH_Default_PFC_7', '7Networks_LH_Default_PFC_8', '7Networks_LH_Default_PFC_9', '7Networks_LH_Default_PFC_10', '7Networks_LH_Default_PFC_11', '7Networks_LH_Default_PFC_12', '7Networks_LH_Default_PFC_13', '7Networks_LH_Default_PFC_14', '7Networks_LH_Default_PFC_15', '7Networks_LH_Default_PFC_16', '7Networks_LH_Default_PFC_17', '7Networks_LH_Default_PFC_18', '7Networks_LH_Default_PFC_19', '7Networks_LH_Default_PFC_20', '7Networks_LH_Default_PFC_21', '7Networks_LH_Default_PFC_22', '7Networks_LH_Default_PFC_23', '7Networks_LH_Default_PFC_24', '7Networks_LH_Default_pCunPCC_1', '7Networks_LH_Default_pCunPCC_2', '7Networks_LH_Default_pCunPCC_3', '7Networks_LH_Default_pCunPCC_4', '7Networks_LH_Default_pCunPCC_5', '7Networks_LH_Default_pCunPCC_6', '7Networks_LH_Default_pCunPCC_7', '7Networks_LH_Default_pCunPCC_8', '7Networks_LH_Default_pCunPCC_9', '7Networks_LH_Default_pCunPCC_10', '7Networks_LH_Default_pCunPCC_11', '7Networks_RH_Vis_1', '7Networks_RH_Vis_2', '7Networks_RH_Vis_3', '7Networks_RH_Vis_4', '7Networks_RH_Vis_5', '7Networks_RH_Vis_6', '7Networks_RH_Vis_7', '7Networks_RH_Vis_8', '7Networks_RH_Vis_9', '7Networks_RH_Vis_10', '7Networks_RH_Vis_11', '7Networks_RH_Vis_12', '7Networks_RH_Vis_13', '7Networks_RH_Vis_14', '7Networks_RH_Vis_15', '7Networks_RH_Vis_16', '7Networks_RH_Vis_17', '7Networks_RH_Vis_18', '7Networks_RH_Vis_19', '7Networks_RH_Vis_20', '7Networks_RH_Vis_21', '7Networks_RH_Vis_22', '7Networks_RH_Vis_23', '7Networks_RH_Vis_24', '7Networks_RH_Vis_25', '7Networks_RH_Vis_26', '7Networks_RH_Vis_27', '7Networks_RH_Vis_28', '7Networks_RH_Vis_29', '7Networks_RH_Vis_30', '7Networks_RH_SomMot_1', '7Networks_RH_SomMot_2', '7Networks_RH_SomMot_3', '7Networks_RH_SomMot_4', '7Networks_RH_SomMot_5', '7Networks_RH_SomMot_6', '7Networks_RH_SomMot_7', '7Networks_RH_SomMot_8', '7Networks_RH_SomMot_9', '7Networks_RH_SomMot_10', '7Networks_RH_SomMot_11', '7Networks_RH_SomMot_12', '7Networks_RH_SomMot_13', '7Networks_RH_SomMot_14', '7Networks_RH_SomMot_15', '7Networks_RH_SomMot_16', '7Networks_RH_SomMot_17', '7Networks_RH_SomMot_18', '7Networks_RH_SomMot_19', '7Networks_RH_SomMot_20', '7Networks_RH_SomMot_21', '7Networks_RH_SomMot_22', '7Networks_RH_SomMot_23', '7Networks_RH_SomMot_24', '7Networks_RH_SomMot_25', '7Networks_RH_SomMot_26', '7Networks_RH_SomMot_27', '7Networks_RH_SomMot_28', '7Networks_RH_SomMot_29', '7Networks_RH_SomMot_30', '7Networks_RH_SomMot_31', '7Networks_RH_SomMot_32', '7Networks_RH_SomMot_33', '7Networks_RH_SomMot_34', '7Networks_RH_SomMot_35', '7Networks_RH_SomMot_36', '7Networks_RH_SomMot_37', '7Networks_RH_SomMot_38', '7Networks_RH_SomMot_39', '7Networks_RH_SomMot_40', '7Networks_RH_DorsAttn_Post_1', '7Networks_RH_DorsAttn_Post_2', '7Networks_RH_DorsAttn_Post_3', '7Networks_RH_DorsAttn_Post_4', '7Networks_RH_DorsAttn_Post_5', '7Networks_RH_DorsAttn_Post_6', '7Networks_RH_DorsAttn_Post_7', '7Networks_RH_DorsAttn_Post_8', '7Networks_RH_DorsAttn_Post_9', '7Networks_RH_DorsAttn_Post_10', '7Networks_RH_DorsAttn_Post_11', '7Networks_RH_DorsAttn_Post_12', '7Networks_RH_DorsAttn_Post_13', '7Networks_RH_DorsAttn_Post_14', '7Networks_RH_DorsAttn_Post_15', '7Networks_RH_DorsAttn_Post_16', '7Networks_RH_DorsAttn_Post_17', '7Networks_RH_DorsAttn_Post_18', '7Networks_RH_DorsAttn_Post_19', '7Networks_RH_DorsAttn_FEF_1', '7Networks_RH_DorsAttn_FEF_2', '7Networks_RH_DorsAttn_FEF_3', '7Networks_RH_DorsAttn_PrCv_1', '7Networks_RH_SalVentAttn_TempOccPar_1', '7Networks_RH_SalVentAttn_TempOccPar_2', '7Networks_RH_SalVentAttn_TempOccPar_3', '7Networks_RH_SalVentAttn_TempOccPar_4', '7Networks_RH_SalVentAttn_TempOccPar_5', '7Networks_RH_SalVentAttn_TempOccPar_6', '7Networks_RH_SalVentAttn_TempOccPar_7', '7Networks_RH_SalVentAttn_PrC_1', '7Networks_RH_SalVentAttn_FrOperIns_1', '7Networks_RH_SalVentAttn_FrOperIns_2', '7Networks_RH_SalVentAttn_FrOperIns_3', '7Networks_RH_SalVentAttn_FrOperIns_4', '7Networks_RH_SalVentAttn_FrOperIns_5', '7Networks_RH_SalVentAttn_FrOperIns_6', '7Networks_RH_SalVentAttn_FrOperIns_7', '7Networks_RH_SalVentAttn_FrOperIns_8', '7Networks_RH_SalVentAttn_PFCl_1', '7Networks_RH_SalVentAttn_Med_1', '7Networks_RH_SalVentAttn_Med_2', '7Networks_RH_SalVentAttn_Med_3', '7Networks_RH_SalVentAttn_Med_4', '7Networks_RH_SalVentAttn_Med_5', '7Networks_RH_SalVentAttn_Med_6', '7Networks_RH_SalVentAttn_Med_7', '7Networks_RH_SalVentAttn_Med_8', '7Networks_RH_Limbic_OFC_1', '7Networks_RH_Limbic_OFC_2', '7Networks_RH_Limbic_OFC_3', '7Networks_RH_Limbic_OFC_4', '7Networks_RH_Limbic_OFC_5', '7Networks_RH_Limbic_OFC_6', '7Networks_RH_Limbic_TempPole_1', '7Networks_RH_Limbic_TempPole_2', '7Networks_RH_Limbic_TempPole_3', '7Networks_RH_Limbic_TempPole_4', '7Networks_RH_Limbic_TempPole_5', '7Networks_RH_Limbic_TempPole_6', '7Networks_RH_Limbic_TempPole_7', '7Networks_RH_Cont_Par_1', '7Networks_RH_Cont_Par_2', '7Networks_RH_Cont_Par_3', '7Networks_RH_Cont_Par_4', '7Networks_RH_Cont_Par_5', '7Networks_RH_Cont_Par_6', '7Networks_RH_Cont_Temp_1', '7Networks_RH_Cont_Temp_2', '7Networks_RH_Cont_PFCv_1', '7Networks_RH_Cont_PFCl_1', '7Networks_RH_Cont_PFCl_2', '7Networks_RH_Cont_PFCl_3', '7Networks_RH_Cont_PFCl_4', '7Networks_RH_Cont_PFCl_5', '7Networks_RH_Cont_PFCl_6', '7Networks_RH_Cont_PFCl_7', '7Networks_RH_Cont_PFCl_8', '7Networks_RH_Cont_PFCl_9', '7Networks_RH_Cont_PFCl_10', '7Networks_RH_Cont_PFCl_11', '7Networks_RH_Cont_PFCl_12', '7Networks_RH_Cont_PFCl_13', '7Networks_RH_Cont_PFCl_14', '7Networks_RH_Cont_PFCl_15', '7Networks_RH_Cont_pCun_1', '7Networks_RH_Cont_pCun_2', '7Networks_RH_Cont_Cing_1', '7Networks_RH_Cont_Cing_2', '7Networks_RH_Cont_PFCmp_1', '7Networks_RH_Cont_PFCmp_2', '7Networks_RH_Default_Par_1', '7Networks_RH_Default_Par_2', '7Networks_RH_Default_Par_3', '7Networks_RH_Default_Par_4', '7Networks_RH_Default_Par_5', '7Networks_RH_Default_Temp_1', '7Networks_RH_Default_Temp_2', '7Networks_RH_Default_Temp_3', '7Networks_RH_Default_Temp_4', '7Networks_RH_Default_Temp_5', '7Networks_RH_Default_Temp_6', '7Networks_RH_Default_Temp_7', '7Networks_RH_Default_Temp_8', '7Networks_RH_Default_PFCv_1', '7Networks_RH_Default_PFCv_2', '7Networks_RH_Default_PFCv_3', '7Networks_RH_Default_PFCv_4', '7Networks_RH_Default_PFCdPFCm_1', '7Networks_RH_Default_PFCdPFCm_2', '7Networks_RH_Default_PFCdPFCm_3', '7Networks_RH_Default_PFCdPFCm_4', '7Networks_RH_Default_PFCdPFCm_5', '7Networks_RH_Default_PFCdPFCm_6', '7Networks_RH_Default_PFCdPFCm_7', '7Networks_RH_Default_PFCdPFCm_8', '7Networks_RH_Default_PFCdPFCm_9', '7Networks_RH_Default_PFCdPFCm_10', '7Networks_RH_Default_PFCdPFCm_11', '7Networks_RH_Default_PFCdPFCm_12', '7Networks_RH_Default_PFCdPFCm_13', '7Networks_RH_Default_pCunPCC_1', '7Networks_RH_Default_pCunPCC_2', '7Networks_RH_Default_pCunPCC_3', '7Networks_RH_Default_pCunPCC_4', '7Networks_RH_Default_pCunPCC_5', '7Networks_RH_Default_pCunPCC_6', '7Networks_RH_Default_pCunPCC_7', '7Networks_RH_Default_pCunPCC_8', '7Networks_RH_Default_pCunPCC_9'] |
| labels_img | /home/remi/nilearn_data/schaefer_2018/Schaefer2018_400Parcels_7Networks_order_FSLMNI152_1mm.nii.gz |
| low_pass | None |
| mask_img | None |
| memory | Memory(location=None) |
| memory_level | 1 |
| reports | True |
| resampling_target | data |
| smoothing_fwhm | None |
| standardize | zscore_sample |
| standardize_confounds | True |
| strategy | mean |
| t_r | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
Adapted from Comparing connectomes on different reference atlases
MultiNiftiLabelsMasker Class for extracting data from multiple Niimg-like objects using labels of non-overlapping brain regions. MultiNiftiLabelsMasker is useful when data from non-overlapping volumes and from different subjects should be extracted (contrary to :class:`nilearn.maskers.NiftiLabelsMasker`). For more details on the definitions of labels in Nilearn, see the :ref:`region` section.
This reports shows the regions defined by the labels of the mask.
The masker has 17 different non-overlapping regions.
Regions summary
| label value | size (in mm^3) | relative size (in %) |
|---|---|---|
| 1 | 91435 | 8.67 |
| 2 | 58911 | 5.59 |
| 3 | 74432 | 7.06 |
| 4 | 63812 | 6.05 |
| 5 | 68292 | 6.47 |
| 6 | 54584 | 5.18 |
| 7 | 68151 | 6.46 |
| 8 | 63369 | 6.01 |
| 9 | 51633 | 4.9 |
| 10 | 39346 | 3.73 |
| 11 | 22802 | 2.16 |
| 12 | 70012 | 6.64 |
| 13 | 79848 | 7.57 |
| 14 | 34372 | 3.26 |
| 15 | 21449 | 2.03 |
| 16 | 91520 | 8.68 |
| 17 | 100765 | 9.55 |
Parameters
| Parameter | Value |
|---|---|
| background_label | 0 |
| detrend | False |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| labels | None |
| labels_img | /home/remi/nilearn_data/yeo_2011/Yeo_JNeurophysiol11_MNI152/Yeo2011_17Networks_MNI152_FreeSurferConformed1mm_LiberalMask.nii.gz |
| low_pass | None |
| mask_img | None |
| memory | nilearn_cache |
| memory_level | 1 |
| n_jobs | 2 |
| reports | True |
| resampling_target | data |
| smoothing_fwhm | None |
| standardize | zscore_sample |
| standardize_confounds | zscore_sample |
| strategy | mean |
| t_r | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
MultiNiftiLabelsMasker Class for extracting data from multiple Niimg-like objects using labels of non-overlapping brain regions. MultiNiftiLabelsMasker is useful when data from non-overlapping volumes and from different subjects should be extracted (contrary to :class:`nilearn.maskers.NiftiLabelsMasker`). For more details on the definitions of labels in Nilearn, see the :ref:`region` section.
This reports shows the regions defined by the labels of the mask.
The masker has 17 different non-overlapping regions.
Regions summary
| label value | size (in mm^3) | relative size (in %) |
|---|---|---|
| 1 | 91435 | 8.67 |
| 2 | 58911 | 5.59 |
| 3 | 74432 | 7.06 |
| 4 | 63812 | 6.05 |
| 5 | 68292 | 6.47 |
| 6 | 54584 | 5.18 |
| 7 | 68151 | 6.46 |
| 8 | 63369 | 6.01 |
| 9 | 51633 | 4.9 |
| 10 | 39346 | 3.73 |
| 11 | 22802 | 2.16 |
| 12 | 70012 | 6.64 |
| 13 | 79848 | 7.57 |
| 14 | 34372 | 3.26 |
| 15 | 21449 | 2.03 |
| 16 | 91520 | 8.68 |
| 17 | 100765 | 9.55 |
Parameters
| Parameter | Value |
|---|---|
| background_label | 0 |
| detrend | False |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| labels | None |
| labels_img | /home/remi/nilearn_data/yeo_2011/Yeo_JNeurophysiol11_MNI152/Yeo2011_17Networks_MNI152_FreeSurferConformed1mm_LiberalMask.nii.gz |
| low_pass | None |
| mask_img | None |
| memory | Memory(location=nilearn_cache/joblib) |
| memory_level | 1 |
| n_jobs | 2 |
| reports | True |
| resampling_target | data |
| smoothing_fwhm | None |
| standardize | zscore_sample |
| standardize_confounds | zscore_sample |
| strategy | mean |
| t_r | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
Nifti maps masker¶
Adapted from Extracting signals of a probabilistic atlas of functional regions
NiftiMapsMasker Class for extracting data from Niimg-like objects using maps of potentially overlapping brain regions. NiftiMapsMasker is useful when data from overlapping volumes should be extracted (contrarily to :class:`nilearn.maskers.NiftiLabelsMasker`). Use case: summarize brain signals from large-scale networks obtained by prior PCA or :term:`ICA`. .. note:: Inf or NaN present in the given input images are automatically put to zero rather than considered as missing data. For more details on the definitions of maps in Nilearn, see the :ref:`region` section.
Component
This reports shows the spatial maps provided to the mask.
The masker has 39 spatial maps in total.
Only 5 spatial maps are shown in this report.
Parameters
| Parameter | Value |
|---|---|
| allow_overlap | True |
| detrend | False |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| keep_masked_maps | True |
| low_pass | None |
| maps_img | /home/remi/nilearn_data/msdl_atlas/MSDL_rois/msdl_rois.nii |
| mask_img | None |
| memory | nilearn_cache |
| memory_level | 0 |
| reports | True |
| resampling_target | data |
| smoothing_fwhm | None |
| standardize | zscore_sample |
| standardize_confounds | zscore_sample |
| t_r | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
Adapted from Comparing connectomes on different reference atlases
MultiNiftiMapsMasker Class for extracting data from multiple Niimg-like objects using maps of potentially overlapping brain regions. MultiNiftiMapsMasker is useful when data from overlapping volumes and from different subjects should be extracted (contrary to :class:`nilearn.maskers.NiftiMapsMasker`). Use case: summarize brain signals from several subjects from large-scale networks obtained by prior PCA or :term:`ICA`. .. note:: Inf or NaN present in the given input images are automatically put to zero rather than considered as missing data. For more details on the definitions of maps in Nilearn, see the :ref:`region` section.
Component
This reports shows the spatial maps provided to the mask.
The masker has 64 spatial maps in total.
Only 10 spatial maps are shown in this report.
Parameters
| Parameter | Value |
|---|---|
| allow_overlap | True |
| detrend | False |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| low_pass | None |
| maps_img | /home/remi/nilearn_data/difumo_atlases/64/2mm/maps.nii.gz |
| mask_img | None |
| memory | nilearn_cache |
| memory_level | 0 |
| n_jobs | 2 |
| reports | True |
| resampling_target | data |
| smoothing_fwhm | None |
| standardize | zscore_sample |
| standardize_confounds | zscore_sample |
| t_r | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
MultiNiftiMapsMasker Class for extracting data from multiple Niimg-like objects using maps of potentially overlapping brain regions. MultiNiftiMapsMasker is useful when data from overlapping volumes and from different subjects should be extracted (contrary to :class:`nilearn.maskers.NiftiMapsMasker`). Use case: summarize brain signals from several subjects from large-scale networks obtained by prior PCA or :term:`ICA`. .. note:: Inf or NaN present in the given input images are automatically put to zero rather than considered as missing data. For more details on the definitions of maps in Nilearn, see the :ref:`region` section.
Component
This reports shows the spatial maps provided to the mask.
The masker has 64 spatial maps in total.
Only 10 spatial maps are shown in this report.
Parameters
| Parameter | Value |
|---|---|
| allow_overlap | True |
| detrend | False |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| low_pass | None |
| maps_img | /home/remi/nilearn_data/difumo_atlases/64/2mm/maps.nii.gz |
| mask_img | None |
| memory | Memory(location=nilearn_cache/joblib) |
| memory_level | 1 |
| n_jobs | 2 |
| reports | True |
| resampling_target | data |
| smoothing_fwhm | None |
| standardize | zscore_sample |
| standardize_confounds | zscore_sample |
| t_r | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
Nifti sphere masker¶
Adapted from Default Mode Network extraction of ADHD dataset
NiftiSpheresMasker Class for masking of Niimg-like objects using seeds. NiftiSpheresMasker is useful when data from given seeds should be extracted. Use case: summarize brain signals from seeds that were obtained from prior knowledge.
All Spheres
Sphere
This reports shows the regions defined by the spheres of the masker.
The masker has 1 spheres in total (displayed together on the first image).
They can be individually browsed using Previous and Next buttons.
Regions summary
| seed number | coordinates | position | radius | size (in mm^3) | size (in voxels) | relative size (in %) |
|---|---|---|---|---|---|---|
| 0 | [0, -53, 26] | [30 24 33] | 10 | 4188.79 | not implemented | not implemented |
Parameters
| Parameter | Value |
|---|---|
| allow_overlap | False |
| detrend | True |
| dtype | None |
| high_pass | 0.01 |
| high_variance_confounds | False |
| low_pass | 0.1 |
| mask_img | None |
| memory | Memory(location=nilearn_cache/joblib) |
| memory_level | 1 |
| radius | 10 |
| reports | True |
| seeds | [(0, -53, 26)] |
| smoothing_fwhm | None |
| standardize | True |
| standardize_confounds | True |
| t_r | 2.0 |
| verbose | 0 |
Surface maskers¶
SurfaceMasker Extract data from a :obj:`~nilearn.surface.SurfaceImage`. .. versionadded:: 0.11.0
This report shows the input surface image overlaid with the outlines of the mask. We recommend to inspect the report for the overlap between the mask and its input image.
| Hemisphere | Number of vertices |
|---|---|
| left | 10242 |
| right | 10242 |
Parameters
| Parameter | Value |
|---|---|
| clean_args | {} |
| cmap | inferno |
| detrend | False |
| high_pass | None |
| high_variance_confounds | False |
| low_pass | None |
| mask_img | None |
| memory | Memory(location=None) |
| memory_level | 1 |
| reports | True |
| smoothing_fwhm | None |
| standardize | False |
| standardize_confounds | True |
| t_r | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
SurfaceMasker Extract data from a :obj:`~nilearn.surface.SurfaceImage`. .. versionadded:: 0.11.0
This report shows the input surface image overlaid with the outlines of the mask. We recommend to inspect the report for the overlap between the mask and its input image.
| Hemisphere | Number of vertices |
|---|---|
| left | 10242 |
| right | 10242 |
Parameters
| Parameter | Value |
|---|---|
| clean_args | {} |
| cmap | inferno |
| detrend | False |
| high_pass | None |
| high_variance_confounds | False |
| low_pass | None |
| mask_img | <SurfaceImage (20484,)> |
| memory | Memory(location=None) |
| memory_level | 1 |
| reports | True |
| smoothing_fwhm | None |
| standardize | False |
| standardize_confounds | True |
| t_r | None |
| verbose | 0 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
SurfaceLabelsMasker Extract data from a SurfaceImage, averaging over atlas regions. .. versionadded:: 0.11.0
This report shows the input surface image overlaid with the outlines of the mask. We recommend to inspect the report for the overlap between the mask and its input image.
| Hemisphere | Number of vertices |
|---|---|
| left | 10242 |
| right | 10242 |
The masker has 75 different non-overlapping regions.
Parameters
| Parameter | Value |
|---|---|
| background_label | 0 |
| clean_args | None |
| cmap | inferno |
| detrend | False |
| high_pass | None |
| high_variance_confounds | False |
| labels | ['Unknown', 'G_and_S_frontomargin', 'G_and_S_occipital_inf', 'G_and_S_paracentral', 'G_and_S_subcentral', 'G_and_S_transv_frontopol', 'G_and_S_cingul-Ant', 'G_and_S_cingul-Mid-Ant', 'G_and_S_cingul-Mid-Post', 'G_cingul-Post-dorsal', 'G_cingul-Post-ventral', 'G_cuneus', 'G_front_inf-Opercular', 'G_front_inf-Orbital', 'G_front_inf-Triangul', 'G_front_middle', 'G_front_sup', 'G_Ins_lg_and_S_cent_ins', 'G_insular_short', 'G_occipital_middle', 'G_occipital_sup', 'G_oc-temp_lat-fusifor', 'G_oc-temp_med-Lingual', 'G_oc-temp_med-Parahip', 'G_orbital', 'G_pariet_inf-Angular', 'G_pariet_inf-Supramar', 'G_parietal_sup', 'G_postcentral', 'G_precentral', 'G_precuneus', 'G_rectus', 'G_subcallosal', 'G_temp_sup-G_T_transv', 'G_temp_sup-Lateral', 'G_temp_sup-Plan_polar', 'G_temp_sup-Plan_tempo', 'G_temporal_inf', 'G_temporal_middle', 'Lat_Fis-ant-Horizont', 'Lat_Fis-ant-Vertical', 'Lat_Fis-post', 'Medial_wall', 'Pole_occipital', 'Pole_temporal', 'S_calcarine', 'S_central', 'S_cingul-Marginalis', 'S_circular_insula_ant', 'S_circular_insula_inf', 'S_circular_insula_sup', 'S_collat_transv_ant', 'S_collat_transv_post', 'S_front_inf', 'S_front_middle', 'S_front_sup', 'S_interm_prim-Jensen', 'S_intrapariet_and_P_trans', 'S_oc_middle_and_Lunatus', 'S_oc_sup_and_transversal', 'S_occipital_ant', 'S_oc-temp_lat', 'S_oc-temp_med_and_Lingual', 'S_orbital_lateral', 'S_orbital_med-olfact', 'S_orbital-H_Shaped', 'S_parieto_occipital', 'S_pericallosal', 'S_postcentral', 'S_precentral-inf-part', 'S_precentral-sup-part', 'S_suborbital', 'S_subparietal', 'S_temporal_inf', 'S_temporal_sup', 'S_temporal_transverse'] |
| labels_img | <SurfaceImage (20484,)> |
| low_pass | None |
| mask_img | None |
| memory | None |
| memory_level | 1 |
| reports | True |
| smoothing_fwhm | None |
| standardize | False |
| standardize_confounds | True |
| t_r | None |
| verbose | 0 |
Regions summary - left
| label value | region name | size (number of vertices) | relative size (% vertices in hemisphere) |
|---|---|---|---|
| 0 | G_and_S_frontomargin | 0 | 0.0 |
| 1 | G_and_S_occipital_inf | 59 | 0.58 |
| 2 | G_and_S_paracentral | 81 | 0.79 |
| 3 | G_and_S_subcentral | 160 | 1.6 |
| 4 | G_and_S_transv_frontopol | 141 | 1.4 |
| 5 | G_and_S_cingul-Ant | 38 | 0.37 |
| 6 | G_and_S_cingul-Mid-Ant | 167 | 1.6 |
| 7 | G_and_S_cingul-Mid-Post | 118 | 1.2 |
| 8 | G_cingul-Post-dorsal | 158 | 1.5 |
| 9 | G_cingul-Post-ventral | 66 | 0.64 |
| 10 | G_cuneus | 26 | 0.25 |
| 11 | G_front_inf-Opercular | 94 | 0.92 |
| 12 | G_front_inf-Orbital | 119 | 1.2 |
| 13 | G_front_inf-Triangul | 30 | 0.29 |
| 14 | G_front_middle | 68 | 0.66 |
| 15 | G_front_sup | 269 | 2.6 |
| 16 | G_Ins_lg_and_S_cent_ins | 494 | 4.8 |
| 17 | G_insular_short | 49 | 0.48 |
| 18 | G_occipital_middle | 50 | 0.49 |
| 19 | G_occipital_sup | 132 | 1.3 |
| 20 | G_oc-temp_lat-fusifor | 84 | 0.82 |
| 21 | G_oc-temp_med-Lingual | 113 | 1.1 |
| 22 | G_oc-temp_med-Parahip | 153 | 1.5 |
| 23 | G_orbital | 137 | 1.3 |
| 24 | G_pariet_inf-Angular | 153 | 1.5 |
| 25 | G_pariet_inf-Supramar | 171 | 1.7 |
| 26 | G_parietal_sup | 291 | 2.8 |
| 27 | G_postcentral | 260 | 2.5 |
| 28 | G_precentral | 217 | 2.1 |
| 29 | G_precuneus | 244 | 2.4 |
| 30 | G_rectus | 219 | 2.1 |
| 31 | G_subcallosal | 77 | 0.75 |
| 32 | G_temp_sup-G_T_transv | 14 | 0.14 |
| 33 | G_temp_sup-Lateral | 46 | 0.45 |
| 34 | G_temp_sup-Plan_polar | 180 | 1.8 |
| 35 | G_temp_sup-Plan_tempo | 42 | 0.41 |
| 36 | G_temporal_inf | 83 | 0.81 |
| 37 | G_temporal_middle | 163 | 1.6 |
| 38 | Lat_Fis-ant-Horizont | 183 | 1.8 |
| 39 | Lat_Fis-ant-Vertical | 24 | 0.23 |
| 40 | Lat_Fis-post | 18 | 0.18 |
| 41 | Medial_wall | 129 | 1.3 |
| 42 | Pole_occipital | 888 | 8.7 |
| 43 | Pole_temporal | 112 | 1.1 |
| 44 | S_calcarine | 105 | 1.0 |
| 45 | S_central | 198 | 1.9 |
| 46 | S_cingul-Marginalis | 307 | 3.0 |
| 47 | S_circular_insula_ant | 129 | 1.3 |
| 48 | S_circular_insula_inf | 57 | 0.56 |
| 49 | S_circular_insula_sup | 151 | 1.5 |
| 50 | S_collat_transv_ant | 193 | 1.9 |
| 51 | S_collat_transv_post | 55 | 0.54 |
| 52 | S_front_inf | 17 | 0.17 |
| 53 | S_front_middle | 143 | 1.4 |
| 54 | S_front_sup | 86 | 0.84 |
| 55 | S_interm_prim-Jensen | 200 | 2.0 |
| 56 | S_intrapariet_and_P_trans | 31 | 0.3 |
| 57 | S_oc_middle_and_Lunatus | 274 | 2.7 |
| 58 | S_oc_sup_and_transversal | 62 | 0.61 |
| 59 | S_occipital_ant | 89 | 0.87 |
| 60 | S_oc-temp_lat | 56 | 0.55 |
| 61 | S_oc-temp_med_and_Lingual | 61 | 0.6 |
| 62 | S_orbital_lateral | 169 | 1.7 |
| 63 | S_orbital_med-olfact | 21 | 0.21 |
| 64 | S_orbital-H_Shaped | 46 | 0.45 |
| 65 | S_parieto_occipital | 77 | 0.75 |
| 66 | S_pericallosal | 138 | 1.3 |
| 67 | S_postcentral | 118 | 1.2 |
| 68 | S_precentral-inf-part | 270 | 2.6 |
| 69 | S_precentral-sup-part | 120 | 1.2 |
| 70 | S_suborbital | 117 | 1.1 |
| 71 | S_subparietal | 25 | 0.24 |
| 72 | S_temporal_inf | 88 | 0.86 |
| 73 | S_temporal_sup | 67 | 0.65 |
| 74 | S_temporal_transverse | 426 | 4.2 |
Regions summary - right
| label value | region name | size (number of vertices) | relative size (% vertices in hemisphere) |
|---|---|---|---|
| 0 | G_and_S_frontomargin | 0 | 0.0 |
| 1 | G_and_S_occipital_inf | 51 | 0.5 |
| 2 | G_and_S_paracentral | 72 | 0.7 |
| 3 | G_and_S_subcentral | 136 | 1.3 |
| 4 | G_and_S_transv_frontopol | 139 | 1.4 |
| 5 | G_and_S_cingul-Ant | 50 | 0.49 |
| 6 | G_and_S_cingul-Mid-Ant | 191 | 1.9 |
| 7 | G_and_S_cingul-Mid-Post | 141 | 1.4 |
| 8 | G_cingul-Post-dorsal | 144 | 1.4 |
| 9 | G_cingul-Post-ventral | 50 | 0.49 |
| 10 | G_cuneus | 41 | 0.4 |
| 11 | G_front_inf-Opercular | 95 | 0.93 |
| 12 | G_front_inf-Orbital | 87 | 0.85 |
| 13 | G_front_inf-Triangul | 25 | 0.24 |
| 14 | G_front_middle | 69 | 0.67 |
| 15 | G_front_sup | 262 | 2.6 |
| 16 | G_Ins_lg_and_S_cent_ins | 494 | 4.8 |
| 17 | G_insular_short | 59 | 0.58 |
| 18 | G_occipital_middle | 48 | 0.47 |
| 19 | G_occipital_sup | 124 | 1.2 |
| 20 | G_oc-temp_lat-fusifor | 103 | 1.0 |
| 21 | G_oc-temp_med-Lingual | 110 | 1.1 |
| 22 | G_oc-temp_med-Parahip | 142 | 1.4 |
| 23 | G_orbital | 131 | 1.3 |
| 24 | G_pariet_inf-Angular | 170 | 1.7 |
| 25 | G_pariet_inf-Supramar | 242 | 2.4 |
| 26 | G_parietal_sup | 250 | 2.4 |
| 27 | G_postcentral | 193 | 1.9 |
| 28 | G_precentral | 199 | 1.9 |
| 29 | G_precuneus | 237 | 2.3 |
| 30 | G_rectus | 259 | 2.5 |
| 31 | G_subcallosal | 62 | 0.61 |
| 32 | G_temp_sup-G_T_transv | 15 | 0.15 |
| 33 | G_temp_sup-Lateral | 39 | 0.38 |
| 34 | G_temp_sup-Plan_polar | 161 | 1.6 |
| 35 | G_temp_sup-Plan_tempo | 55 | 0.54 |
| 36 | G_temporal_inf | 64 | 0.62 |
| 37 | G_temporal_middle | 141 | 1.4 |
| 38 | Lat_Fis-ant-Horizont | 188 | 1.8 |
| 39 | Lat_Fis-ant-Vertical | 28 | 0.27 |
| 40 | Lat_Fis-post | 19 | 0.19 |
| 41 | Medial_wall | 158 | 1.5 |
| 42 | Pole_occipital | 881 | 8.6 |
| 43 | Pole_temporal | 168 | 1.6 |
| 44 | S_calcarine | 117 | 1.1 |
| 45 | S_central | 177 | 1.7 |
| 46 | S_cingul-Marginalis | 283 | 2.8 |
| 47 | S_circular_insula_ant | 151 | 1.5 |
| 48 | S_circular_insula_inf | 59 | 0.58 |
| 49 | S_circular_insula_sup | 120 | 1.2 |
| 50 | S_collat_transv_ant | 145 | 1.4 |
| 51 | S_collat_transv_post | 70 | 0.68 |
| 52 | S_front_inf | 27 | 0.26 |
| 53 | S_front_middle | 144 | 1.4 |
| 54 | S_front_sup | 125 | 1.2 |
| 55 | S_interm_prim-Jensen | 190 | 1.9 |
| 56 | S_intrapariet_and_P_trans | 35 | 0.34 |
| 57 | S_oc_middle_and_Lunatus | 299 | 2.9 |
| 58 | S_oc_sup_and_transversal | 58 | 0.57 |
| 59 | S_occipital_ant | 96 | 0.94 |
| 60 | S_oc-temp_lat | 49 | 0.48 |
| 61 | S_oc-temp_med_and_Lingual | 57 | 0.56 |
| 62 | S_orbital_lateral | 134 | 1.3 |
| 63 | S_orbital_med-olfact | 23 | 0.22 |
| 64 | S_orbital-H_Shaped | 58 | 0.57 |
| 65 | S_parieto_occipital | 88 | 0.86 |
| 66 | S_pericallosal | 125 | 1.2 |
| 67 | S_postcentral | 130 | 1.3 |
| 68 | S_precentral-inf-part | 245 | 2.4 |
| 69 | S_precentral-sup-part | 121 | 1.2 |
| 70 | S_suborbital | 119 | 1.2 |
| 71 | S_subparietal | 13 | 0.13 |
| 72 | S_temporal_inf | 117 | 1.1 |
| 73 | S_temporal_sup | 76 | 0.74 |
| 74 | S_temporal_transverse | 479 | 4.7 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.
SurfaceLabelsMasker Extract data from a SurfaceImage, averaging over atlas regions. .. versionadded:: 0.11.0
This report shows the input surface image overlaid with the outlines of the mask. We recommend to inspect the report for the overlap between the mask and its input image.
| Hemisphere | Number of vertices |
|---|---|
| left | 10242 |
| right | 10242 |
The masker has 75 different non-overlapping regions.
Parameters
| Parameter | Value |
|---|---|
| background_label | 0 |
| clean_args | {} |
| cmap | inferno |
| detrend | False |
| high_pass | None |
| high_variance_confounds | False |
| labels | ['Unknown', 'G_and_S_frontomargin', 'G_and_S_occipital_inf', 'G_and_S_paracentral', 'G_and_S_subcentral', 'G_and_S_transv_frontopol', 'G_and_S_cingul-Ant', 'G_and_S_cingul-Mid-Ant', 'G_and_S_cingul-Mid-Post', 'G_cingul-Post-dorsal', 'G_cingul-Post-ventral', 'G_cuneus', 'G_front_inf-Opercular', 'G_front_inf-Orbital', 'G_front_inf-Triangul', 'G_front_middle', 'G_front_sup', 'G_Ins_lg_and_S_cent_ins', 'G_insular_short', 'G_occipital_middle', 'G_occipital_sup', 'G_oc-temp_lat-fusifor', 'G_oc-temp_med-Lingual', 'G_oc-temp_med-Parahip', 'G_orbital', 'G_pariet_inf-Angular', 'G_pariet_inf-Supramar', 'G_parietal_sup', 'G_postcentral', 'G_precentral', 'G_precuneus', 'G_rectus', 'G_subcallosal', 'G_temp_sup-G_T_transv', 'G_temp_sup-Lateral', 'G_temp_sup-Plan_polar', 'G_temp_sup-Plan_tempo', 'G_temporal_inf', 'G_temporal_middle', 'Lat_Fis-ant-Horizont', 'Lat_Fis-ant-Vertical', 'Lat_Fis-post', 'Medial_wall', 'Pole_occipital', 'Pole_temporal', 'S_calcarine', 'S_central', 'S_cingul-Marginalis', 'S_circular_insula_ant', 'S_circular_insula_inf', 'S_circular_insula_sup', 'S_collat_transv_ant', 'S_collat_transv_post', 'S_front_inf', 'S_front_middle', 'S_front_sup', 'S_interm_prim-Jensen', 'S_intrapariet_and_P_trans', 'S_oc_middle_and_Lunatus', 'S_oc_sup_and_transversal', 'S_occipital_ant', 'S_oc-temp_lat', 'S_oc-temp_med_and_Lingual', 'S_orbital_lateral', 'S_orbital_med-olfact', 'S_orbital-H_Shaped', 'S_parieto_occipital', 'S_pericallosal', 'S_postcentral', 'S_precentral-inf-part', 'S_precentral-sup-part', 'S_suborbital', 'S_subparietal', 'S_temporal_inf', 'S_temporal_sup', 'S_temporal_transverse'] |
| labels_img | <SurfaceImage (20484,)> |
| low_pass | None |
| mask_img | None |
| memory | Memory(location=None) |
| memory_level | 1 |
| reports | True |
| smoothing_fwhm | None |
| standardize | False |
| standardize_confounds | True |
| t_r | None |
| verbose | 0 |
Regions summary - left
| label value | region name | size (number of vertices) | relative size (% vertices in hemisphere) |
|---|---|---|---|
| 0 | G_and_S_frontomargin | 0 | 0.0 |
| 1 | G_and_S_occipital_inf | 59 | 0.58 |
| 2 | G_and_S_paracentral | 81 | 0.79 |
| 3 | G_and_S_subcentral | 160 | 1.6 |
| 4 | G_and_S_transv_frontopol | 141 | 1.4 |
| 5 | G_and_S_cingul-Ant | 38 | 0.37 |
| 6 | G_and_S_cingul-Mid-Ant | 167 | 1.6 |
| 7 | G_and_S_cingul-Mid-Post | 118 | 1.2 |
| 8 | G_cingul-Post-dorsal | 158 | 1.5 |
| 9 | G_cingul-Post-ventral | 66 | 0.64 |
| 10 | G_cuneus | 26 | 0.25 |
| 11 | G_front_inf-Opercular | 94 | 0.92 |
| 12 | G_front_inf-Orbital | 119 | 1.2 |
| 13 | G_front_inf-Triangul | 30 | 0.29 |
| 14 | G_front_middle | 68 | 0.66 |
| 15 | G_front_sup | 269 | 2.6 |
| 16 | G_Ins_lg_and_S_cent_ins | 494 | 4.8 |
| 17 | G_insular_short | 49 | 0.48 |
| 18 | G_occipital_middle | 50 | 0.49 |
| 19 | G_occipital_sup | 132 | 1.3 |
| 20 | G_oc-temp_lat-fusifor | 84 | 0.82 |
| 21 | G_oc-temp_med-Lingual | 113 | 1.1 |
| 22 | G_oc-temp_med-Parahip | 153 | 1.5 |
| 23 | G_orbital | 137 | 1.3 |
| 24 | G_pariet_inf-Angular | 153 | 1.5 |
| 25 | G_pariet_inf-Supramar | 171 | 1.7 |
| 26 | G_parietal_sup | 291 | 2.8 |
| 27 | G_postcentral | 260 | 2.5 |
| 28 | G_precentral | 217 | 2.1 |
| 29 | G_precuneus | 244 | 2.4 |
| 30 | G_rectus | 219 | 2.1 |
| 31 | G_subcallosal | 77 | 0.75 |
| 32 | G_temp_sup-G_T_transv | 14 | 0.14 |
| 33 | G_temp_sup-Lateral | 46 | 0.45 |
| 34 | G_temp_sup-Plan_polar | 180 | 1.8 |
| 35 | G_temp_sup-Plan_tempo | 42 | 0.41 |
| 36 | G_temporal_inf | 83 | 0.81 |
| 37 | G_temporal_middle | 163 | 1.6 |
| 38 | Lat_Fis-ant-Horizont | 183 | 1.8 |
| 39 | Lat_Fis-ant-Vertical | 24 | 0.23 |
| 40 | Lat_Fis-post | 18 | 0.18 |
| 41 | Medial_wall | 129 | 1.3 |
| 42 | Pole_occipital | 888 | 8.7 |
| 43 | Pole_temporal | 112 | 1.1 |
| 44 | S_calcarine | 105 | 1.0 |
| 45 | S_central | 198 | 1.9 |
| 46 | S_cingul-Marginalis | 307 | 3.0 |
| 47 | S_circular_insula_ant | 129 | 1.3 |
| 48 | S_circular_insula_inf | 57 | 0.56 |
| 49 | S_circular_insula_sup | 151 | 1.5 |
| 50 | S_collat_transv_ant | 193 | 1.9 |
| 51 | S_collat_transv_post | 55 | 0.54 |
| 52 | S_front_inf | 17 | 0.17 |
| 53 | S_front_middle | 143 | 1.4 |
| 54 | S_front_sup | 86 | 0.84 |
| 55 | S_interm_prim-Jensen | 200 | 2.0 |
| 56 | S_intrapariet_and_P_trans | 31 | 0.3 |
| 57 | S_oc_middle_and_Lunatus | 274 | 2.7 |
| 58 | S_oc_sup_and_transversal | 62 | 0.61 |
| 59 | S_occipital_ant | 89 | 0.87 |
| 60 | S_oc-temp_lat | 56 | 0.55 |
| 61 | S_oc-temp_med_and_Lingual | 61 | 0.6 |
| 62 | S_orbital_lateral | 169 | 1.7 |
| 63 | S_orbital_med-olfact | 21 | 0.21 |
| 64 | S_orbital-H_Shaped | 46 | 0.45 |
| 65 | S_parieto_occipital | 77 | 0.75 |
| 66 | S_pericallosal | 138 | 1.3 |
| 67 | S_postcentral | 118 | 1.2 |
| 68 | S_precentral-inf-part | 270 | 2.6 |
| 69 | S_precentral-sup-part | 120 | 1.2 |
| 70 | S_suborbital | 117 | 1.1 |
| 71 | S_subparietal | 25 | 0.24 |
| 72 | S_temporal_inf | 88 | 0.86 |
| 73 | S_temporal_sup | 67 | 0.65 |
| 74 | S_temporal_transverse | 426 | 4.2 |
Regions summary - right
| label value | region name | size (number of vertices) | relative size (% vertices in hemisphere) |
|---|---|---|---|
| 0 | G_and_S_frontomargin | 0 | 0.0 |
| 1 | G_and_S_occipital_inf | 51 | 0.5 |
| 2 | G_and_S_paracentral | 72 | 0.7 |
| 3 | G_and_S_subcentral | 136 | 1.3 |
| 4 | G_and_S_transv_frontopol | 139 | 1.4 |
| 5 | G_and_S_cingul-Ant | 50 | 0.49 |
| 6 | G_and_S_cingul-Mid-Ant | 191 | 1.9 |
| 7 | G_and_S_cingul-Mid-Post | 141 | 1.4 |
| 8 | G_cingul-Post-dorsal | 144 | 1.4 |
| 9 | G_cingul-Post-ventral | 50 | 0.49 |
| 10 | G_cuneus | 41 | 0.4 |
| 11 | G_front_inf-Opercular | 95 | 0.93 |
| 12 | G_front_inf-Orbital | 87 | 0.85 |
| 13 | G_front_inf-Triangul | 25 | 0.24 |
| 14 | G_front_middle | 69 | 0.67 |
| 15 | G_front_sup | 262 | 2.6 |
| 16 | G_Ins_lg_and_S_cent_ins | 494 | 4.8 |
| 17 | G_insular_short | 59 | 0.58 |
| 18 | G_occipital_middle | 48 | 0.47 |
| 19 | G_occipital_sup | 124 | 1.2 |
| 20 | G_oc-temp_lat-fusifor | 103 | 1.0 |
| 21 | G_oc-temp_med-Lingual | 110 | 1.1 |
| 22 | G_oc-temp_med-Parahip | 142 | 1.4 |
| 23 | G_orbital | 131 | 1.3 |
| 24 | G_pariet_inf-Angular | 170 | 1.7 |
| 25 | G_pariet_inf-Supramar | 242 | 2.4 |
| 26 | G_parietal_sup | 250 | 2.4 |
| 27 | G_postcentral | 193 | 1.9 |
| 28 | G_precentral | 199 | 1.9 |
| 29 | G_precuneus | 237 | 2.3 |
| 30 | G_rectus | 259 | 2.5 |
| 31 | G_subcallosal | 62 | 0.61 |
| 32 | G_temp_sup-G_T_transv | 15 | 0.15 |
| 33 | G_temp_sup-Lateral | 39 | 0.38 |
| 34 | G_temp_sup-Plan_polar | 161 | 1.6 |
| 35 | G_temp_sup-Plan_tempo | 55 | 0.54 |
| 36 | G_temporal_inf | 64 | 0.62 |
| 37 | G_temporal_middle | 141 | 1.4 |
| 38 | Lat_Fis-ant-Horizont | 188 | 1.8 |
| 39 | Lat_Fis-ant-Vertical | 28 | 0.27 |
| 40 | Lat_Fis-post | 19 | 0.19 |
| 41 | Medial_wall | 158 | 1.5 |
| 42 | Pole_occipital | 881 | 8.6 |
| 43 | Pole_temporal | 168 | 1.6 |
| 44 | S_calcarine | 117 | 1.1 |
| 45 | S_central | 177 | 1.7 |
| 46 | S_cingul-Marginalis | 283 | 2.8 |
| 47 | S_circular_insula_ant | 151 | 1.5 |
| 48 | S_circular_insula_inf | 59 | 0.58 |
| 49 | S_circular_insula_sup | 120 | 1.2 |
| 50 | S_collat_transv_ant | 145 | 1.4 |
| 51 | S_collat_transv_post | 70 | 0.68 |
| 52 | S_front_inf | 27 | 0.26 |
| 53 | S_front_middle | 144 | 1.4 |
| 54 | S_front_sup | 125 | 1.2 |
| 55 | S_interm_prim-Jensen | 190 | 1.9 |
| 56 | S_intrapariet_and_P_trans | 35 | 0.34 |
| 57 | S_oc_middle_and_Lunatus | 299 | 2.9 |
| 58 | S_oc_sup_and_transversal | 58 | 0.57 |
| 59 | S_occipital_ant | 96 | 0.94 |
| 60 | S_oc-temp_lat | 49 | 0.48 |
| 61 | S_oc-temp_med_and_Lingual | 57 | 0.56 |
| 62 | S_orbital_lateral | 134 | 1.3 |
| 63 | S_orbital_med-olfact | 23 | 0.22 |
| 64 | S_orbital-H_Shaped | 58 | 0.57 |
| 65 | S_parieto_occipital | 88 | 0.86 |
| 66 | S_pericallosal | 125 | 1.2 |
| 67 | S_postcentral | 130 | 1.3 |
| 68 | S_precentral-inf-part | 245 | 2.4 |
| 69 | S_precentral-sup-part | 121 | 1.2 |
| 70 | S_suborbital | 119 | 1.2 |
| 71 | S_subparietal | 13 | 0.13 |
| 72 | S_temporal_inf | 117 | 1.1 |
| 73 | S_temporal_sup | 76 | 0.74 |
| 74 | S_temporal_transverse | 479 | 4.7 |
This report was generated based on information provided at instantiation and fit time. Note that the masker can potentially perform resampling at transform time.