ArticleFrontiers in neuroscience2022
Modulation of Gamma Spectral Amplitude and Connectivity During Reaching Predicts Peak Velocity and Movement Duration.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Spatial propagation of movement-related basal ganglia activity predicts parkinsonian motor state.Brain : a journal of neurology · 2026Article
- Degradation-aware neural imputation: Advancing decoding stability in brain machine interfaces.APL bioengineering · 2025Article
- Affective touch enhances low gamma activity during hand proprioceptive perception in children with different neurodevelopmental conditions.Frontiers in human neuroscience · 2025Article
- Movement-related ERS and connectivity in the gamma frequency decrease with practice.NeuroImage · 2023Article
- Cortical facilitation of tactile afferents during the preparation of a body weight transfer when standing on a biomimetic surface.Frontiers in neurology · 2023Article
- Movement-related beta ERD and ERS abnormalities in neuropsychiatric disorders.Frontiers in neuroscience · 2022Review
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Authors and funding
6 authors.
Funding
Abstract
Modulation of gamma oscillations recorded from the human motor cortex and basal ganglia appears to play a key role in movement execution. However, there are still major questions to be answered about the specific role of cortical gamma activity in both the planning and execution of movement features such as the scaling of peak velocity and movement time. In this study, we characterized movement-related gamma oscillatory dynamics and its relationship with kinematic parameters based on 256-channels EEG recordings in 64 healthy subjects while performing fast and uncorrected reaching movements to targets located at three distances. In keeping with previous studies, we found that movement-related gamma synchronization occurred during movement execution. As a new finding, we showed that gamma synchronization occurred also before movement onset, with planning and execution phases involving different gamma peak frequencies and topographies. Importantly, the amplitude of gamma synchronization in both planning and execution increased with target distance and predicted peak velocity and movement time. Additional analysis of phase coherence revealed a gamma-coordinated long-range network involving occipital, frontal and central regions during movement execution that was positively related to kinematic features. This is the first evidence in humans supporting the notion that gamma synchronization amplitude and phase coherence pattern can reliably predict peak velocity amplitude and movement time. Therefore, these findings suggest that cortical gamma oscillations have a crucial role for the selection, implementation and control of the appropriate kinematic parameters of goal-directed reaching movements.
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