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Poster Communications Year : 2019

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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Dates and versions

hal-02379744 , version 1 (25-11-2019)

Identifiers

  • HAL Id : hal-02379744 , version 1

Cite

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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