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Published on: August 25, 2023
Temporal evolution of oscillatory activity predicts performance in a choice-reaction time reaching task
Bernardo Perfetti1, Clara Moisello, Eric C Landsness
1Department of Physiology and Pharmacology, City University of New York Medical School, 138th St. and Convent Ave., New York, NY 10031, USA.
Journal of Neurophysiology
|November 5, 2010
Summary
This study reveals that motor planning and online movement adjustments share similar brain activity patterns in a fronto-parietal network. High and low brainwave frequencies differentially modulate attention for timely responses and sensory-motor control.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Motor Control
Background:
- Visually guided movements require precise temporal control.
- Understanding the neural basis of motor planning and real-time adjustments is crucial for explaining complex behaviors.
Purpose of the Study:
- To investigate the neural correlates of motor planning and online adjustments during visually guided reaching movements.
- To characterize the spatio-temporal patterns of cortical activation associated with these processes.
Main Methods:
- High-density electroencephalography (EEG) with 256 electrodes was used in 13 subjects.
- Movement-related spectral perturbation was analyzed across five temporal windows and five frequency bands.
- Phase coherence analysis was performed between selected scalp regions of interest.
Main Results:
- Motor planning and online adjustments exhibited similar topographical patterns in a fronto-parietal network, primarily involving low-frequency bands.
- High-frequency activity correlated with prestimulus top-down attention for timely responses.
- Low-frequency activity was associated with the planning and control of sensory-motor processes.
Conclusions:
- Motor planning and online adjustments rely on overlapping fronto-parietal neural networks.
- Distinct roles of high and low frequency brain activity in attention and sensory-motor control were identified.
- These findings enhance our understanding of the neural mechanisms underlying temporally demanding movements.
