Journal article

Sparse coupled logistic regression to estimate co-activation and modulatory influences of brain regions

Thomas AW Bolton, Eneko Urunuela, Ye Tian, Andrew Zalesky, Cesar Caballero-Gaudes, Dimitri Van De Ville

Journal of Neural Engineering | IOP PUBLISHING LTD | Published : 2020

Abstract

Accurate mapping of the functional interactions between remote brain areas with resting-state functional magnetic resonance imaging requires the quantification of their underlying dynamics. In conventional methodological pipelines, a spatial scale of interest is first selected, and dynamic analysis then proceeds at this hypothesised level of complexity. If large-scale functional networks or states are studied, more local regional rearrangements are then not described, potentially missing important neurobiological information. Here, we propose a novel mathematical framework that jointly estimates resting-state functional networks, and spatially more localised cross-regional modulations. To do..

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Grants

Awarded by Japan JST ERATO


Awarded by Spanish Ministry of Economy and Competitiveness


Awarded by Spanish State Research Agency through the BCBL 'Severo Ochoa' excellence accreditation


Awarded by Basque Government


Funding Acknowledgements

Thomas A W Bolton acknowledges the support of the Japan JST ERATO Grant Number JPMJER1801, the Bertarelli Foundation and the Vasco Sanz Fund. Eneko Urunuela acknowledges the support of the Basque Government Predoctoral fellowship 2020-2024. Cesar Caballero-Gaudes acknowledges the support of the Spanish Ministry of Economy and Competitiveness through the Ramon y Cajal Fellowship (RYC-2017-21845), the Spanish State Research Agency through the BCBL 'Severo Ochoa' excellence accreditation (SEV-2015-490) and the Basque Government through the BERC 2018-2021 program and research project PIBA 19-0104.