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Poster communications

Connectivity-informed solution for spatio-temporal M/EEG source reconstruction

Abstract : Recovering brain activity from M/EEG measurements is an ill–posed problem and prior constraints need to be introduced in order to obtain unique solution [1]. The majority of the methods use spatial and/or temporal constraints, without taking account of long–range connectivity. In this work, we propose a new connectivity–informed spatio–temporal approach to constrain the inverse problem using supplementary information coming from difusion MRI. We present results based on simulated brain activity obtained with realistic subject anatomy from Human Connectome Project [4] dataset.
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Contributor : Ivana Kojcic Connect in order to contact the contributor
Submitted on : Thursday, September 5, 2019 - 2:16:24 PM
Last modification on : Friday, March 19, 2021 - 3:07:30 AM
Long-term archiving on: : Thursday, February 6, 2020 - 9:03:42 AM


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  • HAL Id : hal-02279612, version 1



Ivana Kojčić, Théodore Papadopoulo, Rachid Deriche, Samuel Deslauriers-Gauthier. Connectivity-informed solution for spatio-temporal M/EEG source reconstruction. NeuroMod 2019 - First meeting of the NeuroMod Institute, Jul 2019, Fréjus, France. ⟨hal-02279612⟩



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