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Neurofeedback is a cognitive remediation technique that allows a subject to learn to regulate their cognitive and brain activity through information provided in real time about their brain activity, in particular electroencephalographic (EEG) brain activity. Neurofeedback could, through its impact on the degree of neuronal synchronization, help to reduce the impact of sleep deprivation on wakefulness and cognitive performance. The main objective is to study the effect of a program of 8 sessions of neurofeedback targeting EEG theta / beta activities, to modify the degree of neuronal synchronization, on the ability to maintain objective wakefulness measured by a maintenance wakefulness test (MWT) in healthy subjects presenting objective excessive daytime sleepiness after a full night of sleep deprivation under controlled experimental conditions. The objective of this study will also provide a better understanding of the learning modulation mechanisms of arousal systems.
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Neurofeedback is a cognitive remediation technique that allows a subject to learn to regulate their cognitive and brain activity through information provided in real time about their brain activity, in particular electroencephalographic (EEG) brain activity. Neurofeedback has been used to regulate EEG amplitude in certain spectral bands, which correlate with the degree of neural synchronization. Neurofeedback makes it possible in particular to reduce the amplitude of the EEG theta spectral band (4-8 Hz) and to increase the EEG beta spectral band (> 12Hz).
This type of protocol has been used successfully to reduce the degree of neural synchronization and to stimulate arousal systems and sustained attention skills.
Studies on healthy subjects submitted to controlled sleep deprivation have shown that inducing a full night of sleep deprivation is a good model for studying the brain mechanisms of arousal and the links with cognitive functions, but also to assess the effectiveness of counter measures reducing the impact of sleep deprivation on cognitive performance. These experimental models provide a better understanding of the mechanisms and consequences of the complaint of excessive daytime sleepiness (EDS). EDS is indeed a frequent symptom affecting between 5% and 8% of the population. The consequence of EDS is a decrease in quality of life. In addition, the EDS entails a high medico-economic cost because of the accidental risk of the public and professional roads.
Neurofeedback could, through its impact on the degree of neuronal synchronization, help to reduce the impact of sleep deprivation on wakefulness and cognitive performance. Thus, it appears relevant to assess the effectiveness of neurofeedback, targeting activities in the theta / beta EEG spectral band, on wakefulness and cognitive performance in healthy subjects with EDS due to sleep deprivation. Targeting the degree of neuronal EEG synchronization would then be an innovative avenue for improving the physiological mobilization of arousal systems and wakefulness and cognitive performance in the event of EDS. This cognitive remediation technique could in particular be proposed as a complement to pharmacological treatment in treated patients suffering from hypersomnolence disorder presenting a residual EDS.
The main objective is to study the effect of a program of 8 sessions of neurofeedback targeting EEG theta / beta activities, to modify the degree of neuronal synchronization, on the ability to maintain objective wakefulness measured by a maintenance wakefulness test (MWT) in healthy subjects presenting objective excessive daytime sleepiness after a full night of sleep deprivation under controlled experimental conditions. The objective of this study will also provide a better understanding of the learning modulation mechanisms of arousal systems.
The secondary objectives are:
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Jean-Arthur MICOULAUD-FRANCHI, Dr
Data sourced from clinicaltrials.gov
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