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Do we really measure what we think we are measuring?

Publications associées (32)

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Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and Heterogeneity

Patric Hagmann

Spatial patterns of coherent activity across different brain areas have been identified during the resting-state fluctuations of the brain. However, recent studies indicate that resting-state activity is not stationary, but shows complex temporal dynamics. ...

Public Library Science2015

Exploiting Recognition of Natural Visual Stimuli for Brain Computer Interfacing

Marija Uscumlic

Visual search is a good illustration about how the brain coordinates a variety of functions such as visual clues extraction from the scene, coordination of the eye-movements, accumu- lation of visual information and visual recognition. It has an important ...

EPFL2013

Evolution of source EEG synchronization in early Alzheimer's disease

Reto Meuli, Alireza Khadivi, Cristian Carmeli

Alzheimer's disease (AD) disrupts functional connectivity in distributed cortical networks. We analyzed changes in the S-estimator, a measure of multivariate intraregional synchronization, in electroencephalogram (EEG) source space in 15 mild AD patients v ...

Elsevier2013

Mapping interictal epileptic discharges using mutual information between concurrent EEG and fMRI

Dimitri Nestor Alice Van De Ville, François Lazeyras

Objective: The mapping of haemodynamic changes related to interictal epileptic discharges (IED) in simultaneous electroencephalography (EEG) and functional MRI (fMRI) studies is usually carried out by means of EEG-correlated fMRI analyses where the EEG inf ...

Elsevier2013

Electrophysiological Evidence for Ventral Stream Deficits in Schizophrenia Patients

Michael Herzog, Maya Roinishvili, Gijs Plomp

Schizophrenic patients suffer from many deficits including visual, attentional, and cognitive ones. Visual deficits are of particular interest because they are at the fore-end of information processing and can provide clear examples of interactions between ...

Oxford Univ Press2013

Offline Decoding of Upper Limb Muscle Synergies from EEG Slow Cortical Potentials

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Sarah Dégallier Rochat, Nicolas Jean Bernard Beuchat

Muscle synergies are thought to be the building blocks used by the central nervous system to control the underdetermined problem of muscles activation. Decoding these synergies from EEG could provide useful tools for BCI-controlled orthotic devices. In thi ...

2013

Methods for Single Trial Analysis of Asynchronous EEG Patterns

Nicolas Bourdaud

Processing of electroencephalographic (EEG) signals has mostly focused on analysing correlates that are time-locked to an observable event. However, when the signal is acquired in less controlled environment, like in the context of a brain-computer interfa ...

EPFL2012

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Neuroimaging studies typically compare experimental conditions using average brain responses, thereby overlooking the stimulus-related information conveyed by distributed spatio-temporal patterns of single-trial responses. Here, we take advantage of this r ...

Elsevier2012

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Decision-making in an uncertain environment is driven by two major needs: exploring the environment to gather information or exploiting acquired knowledge to maximize reward. The neural processes underlying exploratory decision-making have been mainly stud ...

Elsevier2012

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The exploitation of EEG signatures of cognitive processes can provide valuable information to improve interaction with brain actuated devices. In this work we study these correlates in a realistic situation simulated in a virtual reality environment. We fo ...

Ieee2012