eff2019

Abstract

A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development.
Gerald Hahn, Michael A. Skeide, Dante Mantini, Marco Ganzetti, Alain Destexhe, Angela D. Friederici, and Gustavo Deco.

Scientific Reports 9: 8479, 2019.

Copy of the full paper (PDF)
Abstract
Recently introduced effective connectivity methods allow for the in-vivo investigation of large-scale functional interactions between brain regions. However, dynamic causal modeling, the most widely used technique to date, typically captures only a few predefined regions of interest. In this study, we present an alternative computational approach to infer effective connectivity within the entire connectome and show its performance on a developmental cohort with emerging language capacities. The novel approach provides new opportunities to quantify effective connectivity changes in the human brain.