A5022817062- EEG and Brain-Computer Interfaces
- Traumatic Brain Injury Research
- Psychosomatic Disorders and Their Treatments
- Cardiac Arrest and Resuscitation
- Neurobiology of Language and Bilingualism
- Reading and Literacy Development
- Cardiac, Anesthesia and Surgical Outcomes
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Functional Brain Connectivity Studies
- Traumatic Brain Injury and Neurovascular Disturbances
- Heart Rate Variability and Autonomic Control
- Text Readability and Simplification
Centre National de la Recherche Scientifique
2022-2025
Institut du Cerveau
2022-2025
Inserm
2022-2025
Sorbonne Université
2005-2025
Pitié-Salpêtrière Hospital
2005-2024
Universidad de la República
2019-2020
St. James's Hospital
2005
Papworth Hospital
2005
Hospital Universitari Germans Trias i Pujol
2005
Seoul National University Hospital
2005
Abstract Background In this study, we evaluated the potential of a network approach to electromyography and electroencephalography recordings detect covert command-following in healthy participants. The motivation underlying study was development diagnostic tool that can be applied common clinical settings awareness patients are unable convey explicit motor or verbal responses, such as suffer from disorders consciousness (DoC). Methods We examined brain muscle response during movement...
Abstract Background Disorders of consciousness (DoC) are severe neurological conditions in which is impaired to various degrees. They caused by injury or malfunction neural systems regulating arousal and awareness. Over the last decades, major efforts improving individualizing diagnostic prognostic accuracy for patients affected DoC have been made, mainly focusing on introducing multimodal assessments complement behavioral examination. The present EU-funded multicentric research project...
Background Resting-state electroencephalogram (rsEEG) is usually obtained to assess seizures in comatose patients with traumatic brain injury (TBI) patients. We aim investigate rsEEG measures and their prediction of early recovery consciousness TBI Methods This a retrospective study who were admitted level-1 trauma center (10/2013-1/2022). Demographics, basic clinical data, imaging characteristics, EEG data collected. calculated using 10-minute rsEEGs: power spectral density (PSD),...
Severely brain-injured patients may enter a spectrum of conditions collectively known as disorders consciousness (DoC). This includes clinical categories such unresponsive wakefulness syndrome or minimally conscious state, where the behavioral assessment can often be deceptive. To bridge this dissociation, neuroimaging techniques are employed to look for residual brain functions. Each modality imperfectly captures distinct aspects preservation - functional, anatomical, both. In study, we...
Abstract Attention shapes our consciousness content and perception by increasing the probability of becoming aware and/or better encoding a selection incoming inner or outer sensory world. Engaging interoceptive exteroceptive attention should elicit distinctive neural responses to visceral external stimuli could be useful in detecting covert command-following unresponsive patients. We designed task engage healthy participants’ toward their heartbeats auditory investigated whether brain...
Attention shapes our consciousness content and perception by increasing the probability of becoming aware and, or, better encode a selection incoming inner or outer sensory world. We designed task to engage interoceptive exteroceptive attention orienting healthy participants their heartbeats auditory stimuli investigated whether brain dynamics (Kolmogorov complexity - KC, permutation entropy PE, weighted symbolic mutual information wSMI, power spectrum density PSD) heartbeat-evoked potential...
We present an adaptation of Bemis & Pylkkänen’s (2011) two-word, composition-list paradigm to study elementary composition in Spanish using electroencephalography. Our main objective is determine if EEG sensitive enough detect a composition-related activity and evaluate whether the expectancy participants compose contributes this signal. Although we found relevant at expected channels times, also putative before second word onset. Using threshold-free cluster permutation analysis...
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