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.

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

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)

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/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)

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/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.

Previous Map

Component

Next Map

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.

Previous Map

Component

Next Map

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.

Previous Map

Component

Next Map

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.

Previous Sphere

All Spheres

Sphere

Next 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
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
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.