Jean‐Michel Badier

SINGSING

Valérie Chanoine, Jean‐Michel Badier, Mireille Besson, Talya Inbar

This dataset contains simultaneous EEG and MEG recordings from twenty adult participants presented with harmonic complex sound (HCS) stimuli varying in frequency, in an auditory oddball paradigm. The study investigates pre-attentive pitch processing at both sensor and source levels, comparing EEG and …

SINGSING

Valérie Chanoine, Jean‐Michel Badier, Mireille Besson, Talya Inbar

The SINGSING dataset comprises simultaneous EEG and MEG recordings from twenty adult participants exposed to harmonic complex sound stimuli of varying frequencies in an auditory oddball paradigm. This dataset enables comparative analysis of pre-attentive pitch processing at both sensor and source levels …

Combining Spatial Wavelets and Sparse Bayesian Learning for Extended Brain Sources Reconstruction

Samy Mokhtari, Jean‐Michel Badier, Christian Bénar, Bruno Torrésani

OBJECTIVE: The accurate reconstruction of extended cortical activity from M/EEG data is a difficult, ill-conditioned problem. This work proposes to model distributed sources through spectral graph wavelets on the cortical surface, and addresses resulting numerical optimization problems. The objective is accurate localization, …

fr (code pays fourni par la source)

Classification of magnetoencephalographic independent components in epilepsy by machine learning

Aurore Semeux-Bernier, Francesca Bonini, Samuel Médina Villalon, Maria Fratello et autres

OBJECTIVE: Magnetoencephalography (MEG) provides valuable information for the pre-surgical assessment of patients with drug-resistant focal epilepsy, but analysis is time-consuming and subjective. Our objective was to combine Independent Component Analysis (ICA) and machine learning to ease interpretation of MEG signals. METHODS: We …

fr (code pays fourni par la source)

Pre-attentive Pitch Processing of Harmonic Complex Sounds at Sensor and Source Levels: Comparing Simultaneously Recorded EEG and MEG Data

Talya C. Inbar, Jean‐Michel Badier, Christian Bénar, Khoubeib Kanzari et autres

fr (code pays fourni par la source)

Potential of 4 He OPM‐MEG for detecting interictal epileptic activity: A comparison with SQUID‐MEG

Denis Schwartz, Jean‐Michel Badier, Tjerk P. Gutteling, Sébastien Daligault et autres

Abstract Objectives Conventional magnetoencephalography (MEG) based on superconducting quantum interference devices sensors (SQUIDs) is the only widely used MEG system in both clinical and research settings. However, it has limitations that hinder its widespread deployment. Optically pumped magnetometers (OPMs) offer several advantages …

fr (code pays fourni par la source)

Dataset for Evaluating the Production of Phonotactically Legal and Illegal Pseudowords

Valérie Chanoine, Snežana Todorović, Bruno Nazarian, Jean‐Michel Badier et autres

The "MEG-GLOUPS" dataset offers a curated collection of raw magnetoencephalography recordings from seventeen French participants engaged in a pseudoword learning task as well as resting-state activity before and after the task. A dataset called Gloups with the same participants and a similar …

fr, pl, nl, de (code pays fourni par la source)

Unleashing the Potential of 4 He OPM-MEG: A Comparison with SQUID-MEG for Detecting Interictal Epileptic Activity

Denis Schwartz, Jean‐Michel Badier, Tjerk P. Gutteling, Sébastien Daligault et autres

Summary Objectives Conventional magnetoencephalography (MEG) based on superconducting quantum interference devices sensors (SQUIDs), are the only widely used MEG systems in both clinical and research settings. However, they have limitations that hinder their widespread deployment. Optically pumped magnetometers (OPMs) offer several advantages …

fr, us (code pays fourni par la source)

Local and network changes after multichannel transcranial direct current stimulation using magnetoencephalography in patients with refractory epilepsy

Maëva Daoud, Samuel Médina Villalon, Ricardo Salvador, Maria Fratello et autres

OBJECTIVE: Non-invasive neuromodulation techniques, particularly transcranial direct current stimulation (tDCS), are promising for drug-resistant epilepsy (DRE), though the mechanisms of their efficacy remain unclear. This study aims to (i) investigate tDCS neurophysiological mechanisms using a personalized multichannel protocol with magnetoencephalography (MEG) and …

fr, es (code pays fourni par la source)

Assessing epileptic network with directed connectivity in MEG using independent component analysis: a proof-of-concept study

Christian-George Bénar, Samuel Médina Villalon, Khoubeib Kanzari, Jean‐Michel Badier et autres

fr (code pays fourni par la source)

Sentence superiority in the reading brain

Stéphane Dufau, Jeremy Yeaton, Jean‐Michel Badier, Sophie Chen et autres

fr, us (code pays fourni par la source)

Combining independent component analysis and source localization for improving spatial sampling of stereoelectroencephalography in epilepsy

Samuel Médina Villalon, Julia Makhalova, Víctor J. López‐Madrona, Elodie Marie Garnier et autres

Stereoelectroencephalography is a powerful intracerebral EEG recording method for the presurgical evaluation of epilepsy. It consists in implanting depth electrodes in the patient's brain to record electrical activity and map the epileptogenic zone, which should be resected to render the patient seizure-free. …

fr (code pays fourni par la source)