Publication

Spatio-temporal filtering for EEG error related potentials

Publications associées (30)

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

Patric Hagmann, Sébastien Tourbier, Gijs Plomp, Michaël Defferrard, David Pascucci

We present an approach for tracking fast spatiotemporal cortical dynamics in which we combine white matter connectivity data with source-projected electroencephalographic (EEG) data. We employ the mathematical framework of graph signal processing in order ...

2020

Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network

Silvestro Micera, Fiorenzo Artoni, Stefano Tortora

Objective.Mobile Brain/Body Imaging (MoBI) frameworks allowed the research community to find evidence of cortical involvement at walking initiation and during locomotion. However, the decoding of gait patterns from brain signals remains an open challenge. ...

IOP PUBLISHING LTD2020

Inferring subjective preferences on robot trajectories using EEG signals

Aude Billard, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Inaki Asier Iturrate Gil, Iason Batzianoulis, Fumiaki Iwane

Cognitive information has been exploited in non-invasive Brain Computer Interface (BCI) scenarios to provide autonomous external agents with additional information. In this context, Error-related potentials (ErrPs), temporal deflections in electroencephalo ...

IEEE2019

Neural dynamics of the competition between grouping organizations

Michael Herzog, Ophélie Gladys Favrod, Einat Rashal

Neural dynamics of the competition between grouping organizations have been studied to a limited extent. The paradigms used so far confounded grouping operations with task demands, using explicit reports of the predominantly perceived organization and bias ...

SAGE PUBLICATIONS LTD2019

P300 in the park: feasibility of online data acquisition and integration in a Mobile Brain/Body Imaging setting

Silvestro Micera, Fiorenzo Artoni, Elena Galeasso

In the last years Mobile Brain/Body Imaging (MoBI) has been increasingly used to study cognition in the real world to give more ecological validity to brain imaging studies currently carried out only inside the lab. To increase portability of the setup and ...

IEEE2019

Investigating the variability of cardiac pulse artifacts across heartbeats in simultaneous EEG-fMRI recordings: A 7T study

Rolf Gruetter, Lucie Bréchet, João Pedro Forjaco Jorge

Electroencephalography (EEG) recordings performed in magnetic resonance imaging (MRI) scanners are affected by complex artifacts caused by heart function, often termed pulse artifacts (PAs). PAs can strongly compromise EEG data quality, and remain an open ...

2019

Electrophysiological correlates of visual backward masking in the schizophrenia continuum

Ophélie Gladys Favrod

In visual backward masking (VBM), a target is followed by a mask. Over the past decade, a VBM task, called the Shine-Through paradigm (ST), has been shown to be a very sensitive endophenotype of schizophrenia. In the present thesis, the electrophysiologica ...

EPFL2019

Cortico-Muscular Coherence Is Reduced Acutely Post-stroke and Increases Bilaterally During Motor Recovery: A Pilot Study

José del Rocio Millán Ruiz, Serafeim Perdikis, Tiffany Corbet

Motor recovery following stroke is believed to necessitate alteration in functional connectivity between cortex and muscle. Cortico-muscular coherence has been proposed as a potential biomarker for post-stroke motor deficits, enabling a quantification of r ...

2019

Electrophysiological correlates of visual backward masking in patients with major depressive disorder

Michael Herzog, Maya Roinishvili, Ophélie Gladys Favrod, Patricia Figueiredo, Janir Nuno Ramos Antunes Da Cruz

Depression and schizophrenia are two psychiatric diseases with high co-morbidity. For this reason, it is important to find sensitive endophenotypes, which may disentangle the two disorders. The Shine-Through paradigm, a visual backward masking task, is a p ...

2019

EEG signatures of schizophrenia: visual backward masking and microstates

Janir Nuno Ramos Antunes Da Cruz

Schizophrenia is a complex and devastating mental disorder that influences how one behaves, feels, and thinks. It affects a little less than 1 % of the world population and it is understood to be partly genetically mediated. Several genetic risk factors of ...

EPFL2019