A5008380362- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Advanced MRI Techniques and Applications
- Epilepsy research and treatment
- Visual perception and processing mechanisms
- Blind Source Separation Techniques
- Neurobiology of Language and Bilingualism
- Face Recognition and Perception
- Neuroscience and Neuropharmacology Research
- Neural Networks and Applications
- Multisensory perception and integration
- Motor Control and Adaptation
- German Literature and Culture Studies
- Memory and Neural Mechanisms
- Neuroscience and Neural Engineering
- Neuroscience and Music Perception
- Historical, Literary, and Cultural Studies
- Action Observation and Synchronization
- Neonatal and fetal brain pathology
- Atomic and Subatomic Physics Research
- Hemispheric Asymmetry in Neuroscience
- Reading and Literacy Development
- Attention Deficit Hyperactivity Disorder
Centre d'Imagerie BioMedicale
2016-2025
University of Geneva
2016-2025
University of Turin
2023
European University of Rome
2023
École Polytechnique Fédérale de Lausanne
1985-2022
Centre National de la Recherche Scientifique
2003-2022
Université Claude Bernard Lyon 1
2009-2022
Laboratoire des Matériaux Avancés
1999-2022
Institut National de Physique Nucléaire et de Physique des Particules
2020
University Hospital of Geneva
2008-2018
A brain microstate is defined as a functional/physiological state of the during which specific neural computations are performed. It characterized uniquely by fixed spatial distribution active neuronal generators with time varying intensity. Brain electrical activity modeled being composed sequence nonoverlapping microstates variable duration. precise mathematical formulation model for evoked potential recordings presented, where represented normalized vectors constituted scalp electric...
Neural activity fluctuates dynamically with time, and these changes have been reported to be of behavioral significance, despite occurring spontaneously. Through electroencephalography (EEG), fluctuations in α-band (8–14 Hz) identified over posterior sites that covary on a trial-by-trial basis whether an upcoming visual stimulus will detected or not. These are thought index the momentary state cortex excitability. Here, we tested this hypothesis by directly exciting human via transcranial...
This paper describes methods to analyze the brain's electric fields recorded with multichannel Electroencephalogram (EEG) and demonstrates their implementation in software CARTOOL. It focuses on analysis of spatial properties these quantitative assessment changes field topographies across time, experimental conditions, or populations. Topographic analyses are advantageous because they reference independents thus render statistically unambiguous results. Neurophysiologically, differences...
Abstract Electroencephalographic studies in humans have demonstrated that orienting of visual attention induces a decrease oscillatory α‐band activity (α‐desynchronization) over cortical areas tuned to the attended space. This is interpreted as reflecting intentionally enhanced excitability these facilitate upcoming processing. However, inverse mechanism might also apply. Brain process task‐irrelevant space be actively suppressed by increased α‐activity (α‐synchronization) protect against...
Recent findings identified electroencephalography (EEG) microstates as the electrophysiological correlates of fMRI resting-state networks. Microstates are defined short periods (100 ms) during which EEG scalp topography remains quasi-stable; that is, global is fixed but strength might vary and polarity invert. represent subsecond coherent activation within functional brain Surprisingly, these rapidly changing correlate significantly with activity in networks after convolution hemodynamic...
The spatial unity of self and body is challenged by various philosophical considerations several phenomena, perhaps most notoriously the “out-of-body experience” (OBE) during which one's visual perspective are experienced to have departed from their habitual position within body. Although researchers started examining isolated aspects self, neurocognitive processes OBEs not been investigated experimentally further our understanding self. With use evoked potential mapping, we show selective...
Embodiment, the sense of being localized within one's physical body, is a fundamental aspect self. Recently, researchers have started to show that self and body processing require distinct brain mechanisms, suggesting two posterior regions as key loci: temporoparietal junction (TPJ), which involved in multisensory integration body-related information; extrastriate area (EBA), responds selectively human bodies parts. Here we used evoked potential mapping distributed linear inverse solution...
Multisensory interactions are observed in species from single-cell organisms to humans. Important early work was primarily carried out the cat superior colliculus and a set of critical parameters for their occurrence were defined. Primary among these temporal synchrony spatial alignment bisensory inputs. Here, we assessed whether also parameter temporally earliest multisensory that lower-level sensory cortices human. While humans have been shown behaviorally spatially disparate stimuli (e.g....
Electroencephalography is mandatory to determine the epilepsy syndrome. However, for precise localization of irritative zone in patients with focal epilepsy, costly and sometimes cumbersome imaging techniques are used. Recent small studies using electric source suggest that electroencephalography itself could be used localize focus. a large prospective validation study missing. This presents cohort 152 operated where was applied as part pre-surgical work-up allowing comparison results from...
Using electroencephalography (EEG) to elucidate the spontaneous activation of brain resting-state networks (RSNs) is nontrivial as signal interest low amplitude and it difficult distinguish underlying neural sources. principles electric field topographical analysis, possible estimate meta-stable states (i.e., topographies, so-called microstates). We estimated seven topographies explaining EEG data set with k-means clustering (N = 164, 256 electrodes). a method specifically designed localize...
Abstract Subcortical neuronal activity is highly relevant for mediating communication in large-scale brain networks. While electroencephalographic (EEG) recordings provide appropriate temporal resolution and coverage to study whole dynamics, the feasibility detect subcortical signals a matter of debate. Here, we investigate if scalp EEG can correctly localize recorded with intracranial electrodes placed centromedial thalamus, nucleus accumbens. Externalization deep stimulation (DBS)...
We review the theory and algorithms of electrophysiological brain connectivity analysis. This tutorial is aimed at providing an introduction to functional from signals, including electroencephalography, magnetoencephalography, electrocorticography, stereoelectroencephalography. Various estimators are discussed, introduced. Important issues for estimating mapping with electrophysiology discussed.