Algorithm 1.

Identification of connectome-scale group-wise consistent ICNs

1:	Input: All ICN spatial patterns across all subjects;
2:	Eliminate ICN patterns with a large entropy;
3:	Do k-means clustering for all remaining ICN patterns (cluster number equals 400);
4:	for m = 1 to 400 do
5:	for i = 1 to Nm (number of clustered ICN patterns in cluster m) do
6:	if I(Si,Sj) > 0.6 (j=1 to Nm, i ≠ j)
7:	Keep Si in the same class;
8:	else if
9:	Move Si to a temporary pool;
10:	end if
11:	end for
12:	end for
13:	for i = 1 to NP (number of ICNs in the temporal pool) do
14:	for m = 1 to 400 do
15:	Repeat 5–11;
16:	end for
17:	end for
18:	Delete the temporary pool;
19:	Only keep the clusters containing at least one ICN of each subject and double check by two groups of experts;
20:	Output: Finalized retained clusters representing group-wise consistent ICNs.