Article

A Whole-Brain Regression Method to Identify Individual and Group Variations in Functional Connectivity

2020-01-17

Abstract excerpt

Resting-state functional connectivity is an important and widely used measure of individual and group differences. These differences are typically attributed to various demographic and/or clinical factors. Yet, extant statistical methods are limited to linking covariates with variations in functional connectivity across subjects, especially at the voxel-wise level of the whole brain. This paper introduces a genera...

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Literature Corpus work: d5e95a40-8aca-5941-9c35-adcec59d2a16
DOI: 10.1101/2020.01.16.909580

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