Christian COLLET
Pr. Christian Collet is involved in human motor control studies. He is currently full professor in Neuroscience at Claude Bernard University in Lyon (France). He received a Ph.D. in Neurophysiology from the University of Lyon (1995). During the last ten years, he conducted research in mental processes in motor control. His main research topics are on cognitive processes in human motor performance. More specifically, the focus was on the role of the representation of action (motor imagery) and the effects of mental load during shared attention task in cognitive ergonomics. Major methods of research are with the analysis of central nervous system (functional IRM, MEG) or peripheral nervous system variables, through a set of neurophysiological signs, from cardiac en electrodermal systems. At the end of 2020, ha had published about 210 journal articles (cites about 7000 times) with H-index at 44. He supervised about 30 postdoctoral fellows and PhD students. He also served as external reviewer for about 50 PhD candidates. From 2013 to 2015, he was the head of the Centre of Multidisciplinary Research on Sports and Motor Performance, and then director of the Inter-University Laboratory of Human Movement Science (from 2016 to 2020). |
Christian Collet (christian.collet @ univ-lyon1.fr)
Institution Université Claude Bernard (Lyon 1) Team: [MP3]
Publications |
1. Variables from the autonomic nervous system, e.g. cardiac and electrodermal are somatic markers of central brain activity, particularly of cognitive processes such as the representation of movement (or motor imagery). 2. Subliminal muscle activity correlates with the type of muscle contraction mentally represented during elbow flexion (or maintaining the 90 ° position for isometric activity). 3. Visual and kinesthetic imagery are controlled by specific neural networks, thus providing structural support to a conceptual distinction between these 2 types of imagery. 4. Motor imagery can be integrated into rehabilitation program of motor function. It improves its effectiveness in immobilized patients or patients with reduced motor skills while prevented physical fatigue. 5. A set of physiological, psychometric and behavioral indicators are the building blocks of a motor imagery index, thus assessing motor imagery quality. |