Units

NeuroMove - Laboratory of Movement Neurophysiology

The foundation of NeuroMove (Neurophysiology Movement Laboratory) is based on movement as a research focus and as an experimental tool. At the same time, movement is a fundamental human function and, it serves as a unique exploratory probe allowing the investigation of sensori-motor, cognitive, and emotional processes and their mechanisms. By integrating advanced and complementary methodologies, through both peripheral and central physiological signals, we examine the dynamic interactions between the brain and muscles across sensory and motor domains, from perception to action and vice-versa, in a variety of environmental, state-related, and clinical contexts.

NeuroMove is composed of four full-time professors, two professors emeriti, fourteen PhD students, one postdoctoral researcher, seven scientific collaborators, and one visiting researcher. The team is supported by three technicians from the faculty.

Links : http://www.brainsociety.eu
Fonds Leibu

Projetcs

Perception of the physical effort: neurophysiological and metabolic signals crossover.

The main goal of this doctoral thesis is the comprehension of the limiting factors of the physical exercise by investigating both the neurophysiological signals (EEG and cerebral oxygenation) and metabolic signals (VO2max, ventilatory threshold) and their evolution over training.

Collaboration : Iraj hashemi (PhD candidate), Prof. Véronique Billat, Prof. Guy Cheron

Effects of exercise and training on heart rate in humans: new insights with the electroencephalogram signal approach.

Effects of exercise and training on heart rate in humans: new insights with the electroencephalogram signal approach.
The body is a whole that works together to achieve a goal (moving, jumping, etc.). To understand all the interactions and effects that exercise can have on it, it is necessary to study it as a whole phenomenon. In recent years, studies have shown that heart rate cannot stand alone and needs to be analysed in conjunction with other parameters (respiratory, locomotor, etc.). It is now appropriate to investigate the interactions between cardiorespiratory parameters and the brain - the seat of regulation of other body systems - through the study of neurophysiological signals (electroencephalogram and cerebral oxygenation).
The objectives of this doctoral thesis are described as follows:
1. To characterise the interaction between the plateau thresholds of stroke volume (SV) and heart rate deflection with electroencephalogram signals (EEG) 
2. Characterise the evolution of heart rate (HR) during the RabiT test and a marathon in relation to step and breathing rates
3. Characterise the evolution of HR over a whole season in humans and racehorses
4. To study the impact of VES on the variation of VO2max after training

Collaboration : Luc POINSARD (PhD candidate), Prof. Guy Cheron