Table 3.

Task variability within each parcel averaged across all parcels and all subjects for each of the 15 task pairs. Shown are task variability computed with respect to the Glasser atlas initialization (column 3) and final result using the GPIP algorithm (column 4). Differences between the two are shown in column 5 and p-values for the Wilcoxon rank-sum test in column 6.

	Contrast	Glasser’s	GPIP from Glasser’s	Difference (Glasser – GPIP)	p-value (ranksum)
EMOTION	faces_shapes	2.970	2.220	0.749	3.41E-71
GAMBLING	punish_reward	1.804	1.632	0.172	8.07E-27
LANGUAGE	math_story	6.394	5.114	1.280	6.10E-91
MOTOR	lf_avg	2.340	2.023	0.317	1.67E-44
	lh_avg	2.629	2.387	0.242	9.08E-22
	rf_avg	2.056	1.797	0.258	7.17E-37
	rh_avg	2.444	2.190	0.254	3.75E-26
	t_avg	6.072	5.444	0.628	3.30E-16
RELATIONAL	match_rel	1.469	1.275	0.194	1.05E-57
SOCIAL	random_tom	2.175	1.841	0.333	1.32E-76
WM	0bk_2bk	4.510	3.799	0.711	4.74E-67
	face_avg	4.804	3.902	0.903	3.83E-42
	place_avg	4.024	3.268	0.756	1.03E-67
	tool_avg	3.300	2.874	0.426	1.33E-39
	body_avg	3.637	3.079	0.557	3.11E-54