Table 2. Results of the multivariate linear regression between the means of the inferred regional parameters θ^r and regional features on the individual or population level.

Shown are the coefficient of determination R² and the regression weights. For visual orientation, the values where R² > 0.3 and the absolute value of weight >0.2 are highlighted with an asterisk (*). The weights with P > 2.22 × 10⁻⁵ are marked with a dagger (†) (two-sided t test, threshold of 0.001 corrected for 45 comparisons with Bonferroni method). The individual features are calculated from the structural connectivity (SC) or from the processed and parcellated fMRI. External data include average neuronal size and neuronal density, principal gradient of resting state FC, T1w/T2w ratio, first principal component of the gene expression spatial map, and EI map. The analysis was performed using n = 6800 data points (100 subjects, 68 regions each). Visualization of the data can be found on figs. S15 and S16. RSFC, resting-state FC.

	Feature	R 2	Weights
			${\mathrm{\theta }}_1^r$	${\mathrm{\theta }}_2^r$	${\mathrm{\theta }}_3^r$
Individual data	SC: Node in-strength	0.55*	−0.60*	0.03†	−0.57*
	SC: Node centrality	0.35*	−0.41*	0.17	−0.48*
	fMRI: First PCA eigenvector	0.44*	−0.00†	0.86*	0.05
	fMRI: Second PCA eigenvector	0.01	0.05	0.09	0.04†
	fMRI: Correlation with mean signal	0.58*	0.10	1.00*	0.15
	fMRI: Correlation with network input	0.52*	−0.43*	0.62*	0.51*
	fMRI: Number of zero-crossings	0.96*	0.99*	0.02	−0.01
	fMRI: Power below 0.1 Hz	0.93*	−0.97*	−0.04	0.04
External data	Neuronal size (Von Economo)	0.17	0.38	0.20	−0.14
	Neuronal density (Von Economo)	0.25	−0.46	−0.22	0.20
	Neuronal density (BigBrain)	0.19	−0.42	−0.24	0.02†
	RSFC principal gradient	0.07	0.27	0.07	0.03†
	T1w/T2w ratio	0.19	−0.40	−0.09	0.22
	Gene expression map (first PC)	0.47*	−0.69*	−0.15	0.11
	EI map	0.14	−0.33	−0.23	−0.18