Table 1. Edge-based parameters describing the twenty-six-node cerebellar networks.

	Individual Level
	Conventional (amplitude correlation)a		Amplitude envelope correlationb		Instantaneous phase correlationc
	Mean (S.D.)	Range	Mean (S.D.)	Range	Mean (S.D.)	Range
Total edge weight	53.69 (4.51)	45.75–64.55	31.54 (2.18)	27.71–36.47	21.67 (2.13)	16.52–27.41
Average edge weight (connected)d	0.31 (0.03)	0.25–0.39	0.18 (0.01)	0.16–0.21	0.12 (0.01)	0.1–0.16
Average edge weight (all cells)e	0.16 (0.01)	0.13–0.19	0.09 (0.01)	0.08–0.11	0.06 (0.01)	0.05–0.08
Maximum edge weight	1.12 (0.23)	0.79–2.21	0.81 (0.51)	0.54–3.94	0.57 (0.22)	0.36–1.87
	Intrapair Differences
	Spearman’s Rho	p-value	Spearman’s Rho	p-value	Spearman’s Rho	p-value
Total edge weight	−0.14	0.5	0.09	0.66	0.25	0.25
Average edge weight (connected)	−0.17	0.42	0.28	0.19	0.25	0.25
Average edge weight (all cells)	−0.38	0.07	0.15	0.48	−0.07	0.73
Maximum edge weight	−0.14	0.5	0.09	0.66	0.25	0.25

Three different approaches were used to build fMRI connectivity networks. First, the amplitude correlation method for band-passed low-frequency oscillations²⁴ (a) afterward, the Hilbert-transformed signal allowed extracting the amplitude envelope (b) and the instantaneous phase (c) correlation methods²⁸,²⁶. The results indicate edge weights considering both the connected network component, removing all zero entries of the matrix (d), and all edges accounting for the zeroed matrix entries (e). S.D., standard deviation.