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Journal Article

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

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Skeide,  Michael A.
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Friederici,  Angela D.
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Hahn_Skeide_2019.pdf
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Citation

Hahn, G., Skeide, M. A., Mantini, D., Ganzetti, M., Destexhe, A., Friederici, A. D., et al. (2019). A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development. Scientific Reports, 9: 8479. doi:10.1038/s41598-019-44909-6.


Cite as: http://hdl.handle.net/21.11116/0000-0003-DD7E-8
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.