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EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy

Author(s): Afnan J; Cai Z; Lina JM; Abdallah C; Delaire E; Avigdor T; Ros V; Hedrich T; von Ellenrieder N; Kobayashi E; Frauscher B; Gotman J; Grova C;

Electro/Magneto-EncephaloGraphy (EEG/MEG) source imaging (EMSI) of epileptic activity from deep generators is often challenging due to the higher sensitivity of EEG/MEG to superficial regions and to the spatial configuration of subcortical structures. We previously demonstrated the ability of the ...

Article GUID: 38994740


Introduction to the shared near infrared spectroscopy format

Author(s): Tucker S; Dubb J; Kura S; von Lühmann A; Franke R; Horschig JM; Powell S; Oostenveld R; Lührs M; Delaire É; Aghajan ZM; Yun H; Yücel MA; Fang Q; Huppert TJ; Frederick BB; Pollonini L; Boas D; Luke R;

Significance: Functional near-infrared spectroscopy (fNIRS) is a popular neuroimaging technique with proliferating hardware platforms, analysis approaches, and software tools. There has not been a standardized file format for storing fNIRS data, which has hindered the sharing of data as well as t ...

Article GUID: 36507152


Evaluation of a personalized functional near infra-red optical tomography workflow using maximum entropy on the mean

Author(s): Cai Z; Uji M; Aydin Ü; Pellegrino G; Spilkin A; Delaire É; Abdallah C; Lina JM; Grova C;

In the present study, we proposed and evaluated a workflow of personalized near infra-red optical tomography (NIROT) using functional near-infrared spectroscopy (fNIRS) for spatiotemporal imaging of cortical hemodynamic fluctuations. The proposed workflow from fNIRS data acquisition to local 3D reconstruction consists of: (a) the personalized optimal mont ...

Article GUID: 34342073


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