Examples masker reports

Nifti masker

Adapted from Simple example of NiftiMasker use

Nilearn - NiftiMasker report

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.

image

This report shows the input Nifti image overlaid with the outlines of the mask (in green). We recommend to inspect the report for the overlap between the mask and its input image.

Parameters
Parameter Value
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

Nilearn - MultiNiftiMasker report

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)

image

This report shows the input Nifti image overlaid with the outlines of the mask (in green). We recommend to inspect the report for the overlap between the mask and its input image.

Parameters
Parameter Value
detrend True
dtype None
high_pass None
high_variance_confounds False
low_pass None
mask_args None
mask_img /home/runner/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.

Nilearn - MultiNiftiMasker report

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)

image

This report shows the input Nifti image overlaid with the outlines of the mask (in green). We recommend to inspect the report for the overlap between the mask and its input image.

Parameters
Parameter Value
detrend True
dtype None
high_pass None
high_variance_confounds False
low_pass None
mask_args None
mask_img /home/runner/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

Nilearn - NiftiLabelsMasker report

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.

image

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/runner/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.

Nilearn - NiftiLabelsMasker report

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.

image

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/runner/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

Nilearn - MultiNiftiLabelsMasker report

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.

image

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/runner/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.

Nilearn - MultiNiftiLabelsMasker report

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.

image

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/runner/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

Nilearn - NiftiMapsMasker report

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

image

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/runner/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

Nilearn - MultiNiftiMapsMasker report

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

image

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/runner/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.

Nilearn - MultiNiftiMapsMasker report

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

image

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/runner/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

Nilearn - NiftiSpheresMasker report

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

image

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

Nilearn - SurfaceMasker report

SurfaceMasker Extract data from a :obj:`~nilearn.surface.SurfaceImage`. .. versionadded:: 0.11.0

image

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.

Nilearn - SurfaceMasker report

SurfaceMasker Extract data from a :obj:`~nilearn.surface.SurfaceImage`. .. versionadded:: 0.11.0

image

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.

Nilearn - SurfaceLabelsMasker report

SurfaceLabelsMasker Extract data from a SurfaceImage, averaging over atlas regions.

image

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
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.

Nilearn - SurfaceLabelsMasker report

SurfaceLabelsMasker Extract data from a SurfaceImage, averaging over atlas regions.

image

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
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.