Thorben Hülsdünker , Maxime Laporte , Andreas Mierau , Daniel Büchel
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引用次数: 0
Abstract
Purpose
When compared to computer-based brain training, motor-cognitive exercises and exergaming claim to provide stronger brain activation and better transfer due to the integration of a more complex motor task. To evaluate if this is supported by neural dynamics, this study compared event-related potentials and connectivity between a cognitive and motor-cognitive training task.
Methods
21 participants performed a choice-reaction task with either an upper extremity button press (cognitive condition) or lower extremity stepping movement (motor-cognitive condition) input using the SKILLCOURT technology. The visual stimulation and cognitive task were identical. In addition to reaction time, neural activity was recorded using a 64-channel EEG system. Time course of neural activation and event-related potential data in visual premotor, primary motor and sensory regions of interest were compared between conditions. In addition, connectivity was calculated to identify differences in functional communication.
Results
Neural engagement was stronger in the motor-cognitive condition as reflected by a higher amplitude (p < 0.001) and longer latency (p = 0.02) of the BA6 negativity potential as well as higher activity in electrodes representing the foot region of the primary motor cortex (p < 0.001). This was accompanied by enhanced connectivity between electrodes covering the premotor cortex and frontal, primary motor and visual areas p < 0.05).
Conclusion
The findings suggest that the premotor cortex plays a key role in motor-cognitive training. This supports the assumption of stronger engagement of motor areas in motor-cognitive when compared to cognitive training and shed light on the neural processes that may underly superior training effects when compared to computer-based cognitive training.
期刊介绍：
Behavioural Brain Research is an international, interdisciplinary journal dedicated to the publication of articles in the field of behavioural neuroscience, broadly defined. Contributions from the entire range of disciplines that comprise the neurosciences, behavioural sciences or cognitive sciences are appropriate, as long as the goal is to delineate the neural mechanisms underlying behaviour. Thus, studies may range from neurophysiological, neuroanatomical, neurochemical or neuropharmacological analysis of brain-behaviour relations, including the use of molecular genetic or behavioural genetic approaches, to studies that involve the use of brain imaging techniques, to neuroethological studies. Reports of original research, of major methodological advances, or of novel conceptual approaches are all encouraged. The journal will also consider critical reviews on selected topics.
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