A5058829216- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Neuroscience and Music Perception
- Motor Control and Adaptation
- Blind Source Separation Techniques
- Atomic and Subatomic Physics Research
- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Neural Networks and Applications
- Hearing Loss and Rehabilitation
- Neurobiology of Language and Bilingualism
- Neurological disorders and treatments
- Neural and Behavioral Psychology Studies
- Electrical and Bioimpedance Tomography
- Visual perception and processing mechanisms
- Epilepsy research and treatment
- Magnetic and transport properties of perovskites and related materials
- Quantum optics and atomic interactions
- Muscle activation and electromyography studies
- Advanced Neuroimaging Techniques and Applications
- Face recognition and analysis
- Trigeminal Neuralgia and Treatments
- Synthetic Aperture Radar (SAR) Applications and Techniques
Institut du Cerveau
2015-2024
Inserm
2011-2024
Sorbonne Université
2010-2024
Centre National de la Recherche Scientifique
2010-2024
Pitié-Salpêtrière Hospital
2004-2024
Centre d'Exploration et de Recherche Médicale par Emission de Positons
2022-2024
Assistance Publique – Hôpitaux de Paris
2022-2024
Allen Institute for Brain Science
2019-2023
Hospices Civils de Lyon
2023
Université Claude Bernard Lyon 1
2022-2023
Cortical spreading depression (CSD) has been suggested to underlie migraine visual aura. However, it challenging test this hypothesis in human cerebral cortex. Using high-field functional MRI with near-continuous recording during aura three subjects, we observed blood oxygenation level-dependent (BOLD) signal changes that demonstrated at least eight characteristics of CSD, time-locked percept/onset the Initially, a focal increase BOLD (possibly reflecting vasodilation), developed within...
Subcortical structures are involved in many healthy and pathological brain processes. It is crucial for studies to use magnetoencephalography (MEG) assess the ability detect subcortical generators. This study aims source localization accuracy compare characteristics of three inverse operators specific case MEG has a low sensitivity sources mainly because their distance from sensors complex cyto-architecture. However, we show that using realistic anatomical electrophysiological model deep...
A fundamental feature of the temporal organization neural activity is phase-amplitude coupling between brain rhythms at different frequencies, where amplitude a higher frequency varies according to phase lower frequency. Here, we show that this rule extends brain-organ interactions. We measured both infra-slow (~0.05Hz) rhythm intrinsically generated by stomach - gastric basal using electrogastrography, and spontaneous dynamics with magnetoencephalography during resting-state eyes open....
Alzheimer's disease (AD) causes alterations of brain network structure and function. The latter consists connectivity changes between oscillatory processes at different frequency channels. We proposed a multi-layer approach to analyze multiple-frequency networks inferred from magnetoencephalographic recordings during resting-states in AD subjects age-matched controls. Main results showed that tend facilitate information propagation across frequencies, as measured by the multi-participation...
MagnetoEncephaloGraphy (MEG) provides a measure of electrical activity in the brain at millisecond time scale. From these signals, one can non-invasively derive dynamics activity. Conventional MEG systems (SQUID-MEG) use very low temperatures to achieve necessary sensitivity. This leads severe experimental and economical limitations. A new generation sensors is emerging: optically pumped magnetometers (OPM). In OPM, an atomic gas enclosed glass cell traversed by laser beam whose modulation...
Several methods have been applied to EEG or MEG signals detect functional networks. In recent works using MEG/EEG and fMRI data, temporal ICA analysis has used extract spatial maps of resting-state networks with without an atlas-based parcellation the cortex. Since links between signal electromagnetic are not fully established, avoid any bias, we examined whether alone was able derive distribution characteristics To do so, propose a two-step original method: 1) An individual multi-frequency...
We adopted a fusion approach that combines features from simultaneously recorded electroencephalogram (EEG) and magnetoencephalogram (MEG) signals to improve classification performances in motor imagery-based brain-computer interfaces (BCIs). applied our group of 15 healthy subjects found significant performance enhancement as compared standard single-modality approaches the alpha beta bands. Taken together, findings demonstrate advantage considering multimodal complementary tools for...
Classical analyses of induced, frequency-specific neural activity typically average band-limited power over trials. More recently, it has become widely appreciated that in individual trials, beta band occurs as transient bursts rather than amplitude-modulated oscillations. Most studies treat them unitary, and having a stereotyped waveform. However, we show there is wide diversity burst shapes. Using biophysical model generation, demonstrate waveform variability predicted by the synaptic...
Magnetoencephalography (MEG) is a neuroimaging technique that measures neuronal activity at millisecond scale. A few years ago, new generation of MEG sensors emerged: optically pumped magnetometers (OPMs). The most common OPMs use alkali atoms as the sensing element. These OPM must be heated to approximately 150°C, in contrast classical [superconducting quantum interference device MEG], which need cooled down −269°C. This article focuses on kind uses Helium-4 gas element, solves some...
Magneto-encephalography (MEG) provides a higher spatial resolution than electro-encephalography (EEG) to measure human auditory responses. However, conventional cryogenic MEG systems (SQUID-MEG) suffer from severe technological restrictions limiting, for instance, routine clinical use. Fortunately, new generation of sensors, optically pumped magnetometers (OPMs), have been developed bridge the gap, combining wearability EEG with benefits signal acquisition. We aim assess their potential...
Brain-computer interfaces (BCIs) have been largely developed to allow communication, control, and neurofeedback in human beings. Despite their great potential, BCIs perform inconsistently across individuals the neural processes that enable humans achieve good control remain poorly understood. To address this question, we performed simultaneous high-density electroencephalographic (EEG) magnetoencephalographic (MEG) recordings a motor imagery-based BCI training involving group of healthy...
Oscillatory synchrony in the gamma band (30-120 Hz) has been involved various cognitive functions including conscious perception and learning. Explicit memory encoding, particular, relies on enhanced oscillations. Does this finding extend to unconscious encoding? Can we dissociate oscillations related learning perception? We investigate these issues a magnetoencephalographic experiment using modified version of contextual cueing paradigm. In visual search task, repeated presentation arrays...
In Alzheimer's disease (AD), the progressive atrophy leads to aberrant network reconfigurations both at structural and functional levels. such reorganization, core peripheral nodes appear be crucial for prediction of clinical outcome due their ability influence large-scale integration. However, role different types brain connectivity in still remains unclear. Using a multiplex approach we integrated information from DWI, fMRI MEG extract an enriched description core-periphery structure group...
Alzheimer's disease (AD) includes progressive symptoms spread along a continuum of preclinical and clinical stages. Although numerous studies uncovered the neuro-cognitive changes AD, very little is known on natural history brain lesions modifications networks in elderly cognitively-healthy memory complainers at risk AD for carrying pathophysiological biomarkers (amyloidopathy tauopathy).We analyzed resting-state electroencephalography (EEG) 318 subjective from INSIGHT-preAD cohort time...
In order to explore the pathophysiological basis of a new rehabilitation therapy in writer9s cramp (WC), healthy controls, untreated WC patients and who recovered legible handwriting after were explored using magnetoencephalography, somatosensory evoked fields fingers I, II, III V sensory cortex studied. controlling dystonic limb, size hand representation trained was similar that significantly different from untrained patients. Trained exhibited ‘super-normal’ reorganisation finger maps....