Table 1. Partial least squares regression (PLSR) results.

Significant associations with mean maternal IL-6 in our sample of neonates (N=84) were identified via the cross-validated PLSR model for multiple large-scale functional systems. Within network and between networks findings were filtered based on: 1) statistical significance of the KS-test (with Bonferroni correction for multiple comparisons), and 2) median effect size (Cohen’s D) across all possible components (e.g. 1–20) exceeding a small effect size (> .2).

				Average Model Performance for Optimal Component Model (4000 iterations)
				Mean Train		Mean Test
Networks		Cohen’s D (For Optimal Component Model)	Median Cohen’s D (Across All Components)	r	Std. Dev.	r	Std. Dev.
SUB	DAN	1.76	1.53	0.96	0.01	0.41	0.2
SUB	CER	1	0.5	0.77	0.02	0.25	0.22
VIS	DAN	0.86	0.5	0.56	0.04	0.2	0.21
SAL	CON	0.76	0.74	0.98	0	0.18	0.2
SUB	VAN	0.66	0.44	0.73	0.03	0.16	0.22
DAN	FP	0.61	0.58	0.91	0.01	0.14	0.21
SAL		0.45	0.39	0.97	0.01	0.11	0.23
VAN	CER	0.42	0.32	0.33	0.04	0.1	0.23

All Models Significant (p<0.001) Based on Bonferroni Corrected KS-test