Grégoire Vergotte

ORCID: 0000-0003-2202-6343
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About
Contact & Profiles
Research Areas
  • Optical Imaging and Spectroscopy Techniques
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Muscle activation and electromyography studies
  • Complex Systems and Time Series Analysis
  • Transcranial Magnetic Stimulation Studies
  • Heart Rate Variability and Autonomic Control
  • Mitochondrial Function and Pathology
  • Motor Control and Adaptation
  • Musculoskeletal pain and rehabilitation
  • Action Observation and Synchronization
  • Stroke Rehabilitation and Recovery
  • Ecosystem dynamics and resilience
  • Aging, Elder Care, and Social Issues
  • Cardiovascular and exercise physiology
  • Neural dynamics and brain function
  • Tactile and Sensory Interactions
  • Dialysis and Renal Disease Management
  • Team Dynamics and Performance
  • Dementia and Cognitive Impairment Research
  • Balance, Gait, and Falls Prevention
  • Neurology and Historical Studies
  • Behavioral Health and Interventions
  • Fractal and DNA sequence analysis
  • Virtual Reality Applications and Impacts

Université de Montpellier
2014-2025

EuroMov Digital Health in Motion
2022-2024

IMT Mines Alès
2022-2023

Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO)
2020-2021

University of Liverpool
2021

Eurom (Czechia)
2015-2019

Inserm
2014

Background:The acute phase of stroke is accompanied by functional changes and interplay both hemispheres. However, our understanding how the time course upper limb motor recovery related to progression brain reorganization in sensorimotor areas remains limited. Thi s study aimed assess hemodynamic patterns cortical using near infrared spectroscopy (fNIRS) within three months after a stroke. Method:Eight right-handed first ischemic/hemorrhagic patients (60±8 years, 3 women) with mild severe...

10.3233/rnn-180877 article EN Restorative Neurology and Neuroscience 2019-06-17

A shared understanding of terminology is essential for clear scientific communication and minimizing misconceptions. This particularly challenging in rapidly expanding, interdisciplinary domains that utilize functional near-infrared spectroscopy (fNIRS), where researchers come from diverse backgrounds apply their expertise fields such as engineering, neuroscience, psychology. The fNIRS Glossary Project was established to develop a community-sourced glossary covering key terms, including...

10.1117/1.nph.12.2.027801 article EN cc-by Neurophotonics 2025-04-18

10.1016/j.eurger.2014.07.010 article EN European Geriatric Medicine 2014-09-16

In behavioral neuroscience, the adaptability of humans facing different constraints has been addressed on one side at brain level, where a variety functional networks dynamically support same performance, and other fractal properties in sensorimotor variables have considered as hallmark adaptability. To bridge gap between two levels observation, we jointly investigated changes network connectivity cortex assessed by modularity analysis motor variability multifractal during prolonged tapping...

10.3389/fphys.2018.00909 article EN cc-by Frontiers in Physiology 2018-07-10

Functional near infrared spectroscopy (fNIRS) is a promising neuroimaging method for investigating networks of cortical regions over time. We propose directed effective connectivity (TPDC) allowing the capture both time and frequency evolution brain's using fNIRS data acquired from healthy subjects performing continuous finger-tapping task. Using this we show patterns among motor involved in task their significant variations strength information flow exchanges. Intra inter-hemispheric...

10.1364/boe.8.005326 article EN cc-by Biomedical Optics Express 2017-10-30

Abstract If health can be defined as adaptability, then measures of adaptability are crucial. Convergent findings across clinical areas established the notion that fractal properties in bio-behavioural variability characterize healthy condition organism, and its adaptive capacities general. However, ambiguities remain to significance properties: literature mainly discriminated between vs . pathological states, thereby loosing perspective on progression between, overlooking distinction...

10.1038/s41598-019-52091-y article EN cc-by Scientific Reports 2019-10-31

The literature contains limited evidence on how our brains control eccentric movement. A higher activation is expected in the contralateral motor cortex (M1) but consensus has not yet been reached. Therefore, present study aimed to compare patterns of M1 between and concentric movements. Nine healthy participants performed a randomized order three sets five repetitions or movement with dominant elbow flexors over range motion 60° at two velocities (30°/s 60°/s). tests were...

10.3390/brainsci8050075 article EN cc-by Brain Sciences 2018-04-24

Abstract Eccentric, compared to concentric exercise, is proposed involve different neuro‐motor processing strategies and a higher level of mental demand. This study eccentric cycling at matched perceived effort torque for the demand related‐cortical activation patterns. Nineteen men (30 ± 6 years) performed four 5‐min conditions 30 RPM on semi‐recumbent isokinetic cycle ergometer: (1) moderate (23 CR100® scale) without feedback; (2) (3) same average produced in first condition; (4) than...

10.1111/sms.14517 article EN cc-by Scandinavian Journal of Medicine and Science in Sports 2023-10-09

Significance A shared understanding of terminology is essential for clear scientific communication and minimizing misconceptions. This particularly challenging in rapidly expanding, interdisciplinary domains that utilize functional near-infrared spectroscopy (fNIRS), where researchers come from diverse backgrounds apply their expertise fields such as engineering, neuroscience, psychology. Aim The fNIRS Glossary Project was established to develop a community-sourced glossary covering key...

10.31219/osf.io/7xn3b preprint EN 2024-11-20

This study aims at investigating the neural and physiological correlates of human-human human-AI interactions under ecological settings. We designed a scenario in which ground controller had to guide his/her pilot reach location. also implemented Controller-Bot Pilot-Bot using AI techniques behave like real human operators. The cooperation between controllers pilots were either genuine ('Coop scenarios' – four missions), explicitly notified as pilot-Bot controller-Bot ('No coop two or with...

10.1109/smc52423.2021.9658814 article EN 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2021-10-17
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