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Poster communications

Connectivity–informed spatio–temporal MEG source reconstruction: Simulation results using a MAR model

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 using a Multivariate Autoregressive Model, with realistic subject anatomy obtained from Human Connectome Project [4] dataset.
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https://hal.inria.fr/hal-02379744
Contributor : Ivana Kojcic Connect in order to contact the contributor
Submitted on : Monday, November 25, 2019 - 6:30:07 PM
Last modification on : Friday, March 19, 2021 - 3:07:30 AM
Long-term archiving on: : Wednesday, February 26, 2020 - 7:56:17 PM

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Ivana Kojčić, Théodore Papadopoulo, Rachid Deriche, Samuel Deslauriers-Gauthier. Connectivity–informed spatio–temporal MEG source reconstruction: Simulation results using a MAR model. Colloque Line Garnero, Oct 2019, Paris, France. ⟨hal-02379744⟩

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