A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development.

Trang-Anh Gerald Hahn, Michael A. Skeide, Dante Mantini, Marco Ganzetti, Alain Destexhe, Angela D. Friederici, and Gustavo Deco.

Scientific Reports 9: 8479, 2019.

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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.
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