Search Results - "Mattout, J"

Selecting forward models for MEG source-reconstruction using model-evidence by Henson, R.N., Mattout, J., Phillips, C., Friston, K.J.

“…We investigated four key aspects of forward models for distributed solutions to the MEG inverse problem: 1) the nature of the cortical mesh constraining…”
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EEG neurofeedback research: A fertile ground for psychiatry? by Batail, J-M, Bioulac, S, Cabestaing, F, Daudet, C, Drapier, D, Fouillen, M, Fovet, T, Hakoun, A, Jardri, R, Jeunet, C, Lotte, F, Maby, E, Mattout, J, Medani, T, Micoulaud-Franchi, J-A, Mladenovic, J, Perronet, L, Pillette, L, Ros, T, Vialatte, F

“…The clinical efficacy of neurofeedback is still a matter of debate. This paper analyzes the factors that should be taken into account in a transdisciplinary…”
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Hemodynamic correlates of EEG: A heuristic by Kilner, J.M., Mattout, J., Henson, R., Friston, K.J.

“…In this note we describe a heuristic, starting with a dimensional analysis, which relates hemodynamic changes to the spectral profile of ongoing EEG activity…”
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MEG source localization under multiple constraints: An extended Bayesian framework by Mattout, Jérémie, Phillips, Christophe, Penny, William D., Rugg, Michael D., Friston, Karl J.

“…To use Electroencephalography (EEG) and Magnetoencephalography (MEG) as functional brain 3D imaging techniques, identifiable distributed source models are…”
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A robust sensor-selection method for P300 brain-computer interfaces by Cecotti, H, Rivet, B, Congedo, M, Jutten, C, Bertrand, O, Maby, E, Mattout, J

“…A brain-computer interface (BCI) is a specific type of human-computer interface that enables direct communication between human and computer through decoding…”
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Population-level inferences for distributed MEG source localization under multiple constraints: Application to face-evoked fields by Henson, R.N., Mattout, J., Singh, K.D., Barnes, G.R., Hillebrand, A., Friston, K.

“…We address some key issues entailed by population inference about responses evoked in distributed brain systems using magnetoencephalography (MEG). In…”
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Decision-Making in a Changing World: A Study in Autism Spectrum Disorders by Robic, S., Sonié, S., Fonlupt, P., Henaff, M.-A., Touil, N., Coricelli, G., Mattout, J., Schmitz, C.

“…To learn to deal with the unexpected is essential to adaptation to a social, therefore often unpredictable environment. Fourteen adults with autism spectrum…”
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Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models by Daunizeau, J., Mattout, J., Clonda, D., Goulard, B., Benali, H., Lina, J.-M.

“…Characterizing the cortical activity sources of electroencephalography (EEG)/magnetoencephalography data is a critical issue since it requires solving an…”
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Impact of Spatial Filters During Sensor Selection in a Visual P300 Brain-Computer Interface by Rivet, B., Cecotti, H., Maby, E., Mattout, J.

“…A challenge in designing a Brain-Computer Interface (BCI) is the choice of the channels, e.g. the most relevant sensors. Although a setup with many sensors can…”
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Improving non-invasive BCI for possible clinical application: Example of the “P300-speller” by Mattout, J, Perrin, M, Bertrand, O, Maby, E

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Multivariate source prelocalization (MSP): Use of functionally informed basis functions for better conditioning the MEG inverse problem by Mattout, J., Pélégrini-Issac, M., Garnero, L., Benali, H.

“…Spatially characterizing and quantifying the brain electromagnetic response using MEG/EEG data still remains a critical issue since it requires solving an…”
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Inferring hand movement kinematics from MEG, EEG and intracranial EEG: From brain-machine interfaces to motor rehabilitation by Jerbi, K, Vidal, J.R, Mattout, J, Maby, E, Lecaignard, F, Ossandon, T, Hamamé, C.M, Dalal, S.S, Bouet, R, Lachaux, J.-P, Leahy, R.M, Baillet, S, Garnero, L, Delpuech, C, Bertrand, O

“…Abstract The ability to use electrophysiological brain signals to decode various parameters of voluntary movement is a central question in Brain Machine…”
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A Generic Framework for fMRI-constrained MEG Source Reconstruction by Flandin, G., Henson, R., Daunizeau, J., Friston, K., Mattout, J.

“…Introduction In a series of previous communications, we described a Parametric Empirical Bayes (PEB) approach to MEG source reconstruction that accounts for…”
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Assessing the relevance of fMRI-based prior in the EEG inverse problem: a bayesian model comparison approach by Daunizeau, J., Grova, C., Mattout, J., Marrelec, G., Clonda, D., Goulard, B., Pelegrini-Issac, M., Lina, J.-M., Benali, H.

“…Characterizing the cortical activity from electro- and magneto-encephalography (EEG/MEG) data requires solving an ill-posed inverse problem that does not admit…”
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Améliorer les ICM non invasives pour un possible usage en clinique : exemple du « P300-speller by Mattout, J, Perrin, M, Bertrand, O, Maby, E

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Beyond averaged responses: modelling trial-by-trial changes to capture the dynamic of perception by Lecaignard, F., Mattout, J., Bertrand, O., Caclin, A.

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First results on the GEM operated at low gas pressures by Chechik, R, Breskin, A, Garty, G, Mattout, J, Sauli, F, Shefer, E

“…We report on the properties of the Gaseous Electron Multiplier (GEM) operated at 10–40Torr isobutane and methane. We found stable operation at gains of a few…”
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Validation d’une méthode d’analyse automatique du Karolinska Drowsiness Test by Berthomier, C, Berthomier, P, Brandewinder, M, Mattout, J, Philip, P, Taillard, J

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Prostate-Specific Membrane Antigen-Directed Focal Stereotactic Radiation Therapy in Two Fractions for Locally Recurrent Prostate Cancer after Definitive Radiation Therapy by Hammer, L., Lewin, R., Mattout, J., Bar Orian, I., ben-Ayun, M., Tsvang, L., Dubinski, S., Weiss, I., Lawrence, Y., Symon, Z.

“…Five fraction salvage stereotactic body radiation therapy (SBRT) is a Delphi consensus recommendation for prostate re-irradiation, yet remains debatable and…”
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Sleep autoscoring based on a single EEG Channel: comparison with visual scoring in patients by Peter-Derex, L., Berthomier, C., Taillard, J., Berthomier, P., Mattout, J., Brandewinder, M., Bastuji, H.

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