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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 t ...

Article GUID: 38994740


Validating MEG source imaging of resting state oscillatory patterns with an intracranial EEG atlas

Author(s): Afnan J; von Ellenrieder N; Lina JM; Pellegrino G; Arcara G; Cai Z; Hedrich T; Abdallah C; Khajehpour H; Frauscher B; Gotman J; Grova C; ...

Background: Magnetoencephalography (MEG) is a widely used non-invasive tool to estimate brain activity with high temporal resolution. However, due to the ill-posed nature of the MEG source imaging ...

Article GUID: 37149236


Hierarchical Bayesian modeling of the relationship between task-related hemodynamic responses and cortical excitability

Author(s): Cai Z; Pellegrino G; Lina JM; Benali H; Grova C;

Investigating the relationship between task-related hemodynamic responses and cortical excitability is challenging because it requires simultaneous measurement of hemodynamic responses while applying noninvasive brain stimulation. Moreover, cortical excitab ...

Article GUID: 36250709


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 f ...

Article GUID: 34342073


Data-driven beamforming technique to attenuate ballistocardiogram artefacts in electroencephalography-functional magnetic resonance imaging without detecting cardiac pulses in electrocardiography recordings

Author(s): Uji M; Cross N; Pomares FB; Perrault AA; Jegou A; Nguyen A; Aydin U; Lina JM; Dang-Vu TT; Grova C; ...

Simultaneous recording of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a very promising non-invasive neuroimaging technique. However, EEG data obtained from the ...

Article GUID: 34101939


How cerebral cortex protects itself from interictal spikes: The alpha/beta inhibition mechanism

Author(s): Pellegrino G; Hedrich T; Sziklas V; Lina JM; Grova C; Kobayashi E;

Interactions between interictal epileptiform discharges (IEDs) and distant cortical regions subserve potential effects on cognition of patients with focal epilepsy. We hypothesize that "healthy" brain areas at a distance from the epileptic focus may respond ...

Article GUID: 34002916


Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy

Author(s): Machado A; Cai Z; Vincent T; Pellegrino G; Lina JM; Kobayashi E; Grova C;

In functional near infrared spectroscopy (fNIRS), deconvolution analysis of oxy and deoxy-hemoglobin concentration changes allows estimating specific hemodynamic response functions (HRF) elicited by neuronal activity, taking advantage of the fNIRS excellent ...

Article GUID: 33727581


Effects of Independent Component Analysis on Magnetoencephalography Source Localization in Pre-surgical Frontal Lobe Epilepsy Patients

Author(s): Pellegrino G, Xu M, Alkuwaiti A, Porras-Bettancourt M, Abbas G, Lina JM, Grova C, Kobayashi E, ...

Objective: Magnetoencephalography source imaging (MSI) of interictal epileptiform discharges (IED) is a useful presurgical tool in the evaluation of drug-resistant frontal lobe epilepsy (FLE) patie ...

Article GUID: 32582009


Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients.

Author(s): Pellegrino G, Hedrich T, Porras-Bettancourt M, Lina JM, Aydin Ü, Hall J, Grova C, Kobayashi E

Hum Brain Mapp. 2020 May 09;: Authors: Pellegrino G, Hedrich T, Porras-Bettancourt M, Lina JM, Aydin Ü, Hall J, Grova C, Kobayashi E

Article GUID: 32386115


Magnetoencephalography resting state connectivity patterns as indicatives of surgical outcome in epilepsy patients.

Author(s): Aydin Ü, Pellegrino G, Bin Ka'b Ali O, Abdallah C, Dubeau F, Lina JM, Kobayashi E, Grova C

J Neural Eng. 2020 Mar 18;: Authors: Aydin Ü, Pellegrino G, Bin Ka'b Ali O, Abdallah C, Dubeau F, Lina JM, Kobayashi E, Grova C

Article GUID: 32191632


Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study.

Author(s): Bénar CG, Grova C, Jirsa VK, Lina JM

J Comput Neurosci. 2019 Jul 11;: Authors: Bénar CG, Grova C, Jirsa VK, Lina JM

Article GUID: 31292816


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