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


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.

SUBMITTER: Hahn G 

PROVIDER: S-EPMC6559954 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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

Hahn Gerald G   Skeide Michael A MA   Mantini Dante D   Ganzetti Marco M   Destexhe Alain A   Friederici Angela D AD   Deco Gustavo G  

Scientific reports 20190611 1


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  ...[more]

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