Resting-state aperiodic neural dynamics predict individual differences in visuomotor performance and learning

Resting-state aperiodic neural dynamics predict individual differences in visuomotor performance and learning

An emerging body of work has demonstrated that resting-state non-oscillatory, or aperiodic, 1/f neural activity is a functional and behaviorally relevant marker of cognitive function capacity. In the motor domain, previous work has only applied 1/f analyses to investigations of motor coordination an...

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Bibliographic Details
Main Authors: Baumeister, J. (Author), Bornkessel-Schlesewsky, I. (Author), Chatburn, A. (Author), Cross, Z.R (Author), Immink, M.A (Author), Schlesewsky, M. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
1/f brain activity
adult
Aperiodic activity
article
avoidance behavior
brain function
cognition
Cognition
EEG
electroencephalogram
female
human
human experiment
Humans
Individual differences
individuality
Individuality
learning
Learning
male
motor learning
Motor learning
motor performance
perception
Perception
psychomotor performance
Psychomotor Performance
reaction time
Reaction time
Reaction Time
slope factor
virtual reality
Visuomotor performance
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