ArticleFrontiers in neuroscience2020
Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate With Time-Derivative of Force During Hand Grasp.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Distinct Neural Modes Carry Information About Attempted Grasp Timing and Force in the Sensorimotor Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Comparative Electrocorticographic Signatures ofACS omega · 2026Article
- A neuroprosthesis for restoring hand movement and sensation in a person with complete tetraplegia.Nature medicine · 2026Article
- A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems.IEEE transactions on bio-medical engineering · 2026Article
- Intraoperative Cortical Sensorimotor Mapping During Glioma Resection Monitored With Drum Playing During Awake Craniotomy: A Case Report.Case reports in oncological medicine · 2025Article
- Preclinical and translational models for delirium: Recommendations for future research from the NIDUS delirium network.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Review
- Long-latency gamma modulation after median nerve stimulation delineates the central sulcus and contrasts the states of consciousness.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Machine learning based brain signal decoding for intelligent adaptive deep brain stimulation.Experimental neurology · 2022Review
- Alpha and broadband high-frequency activity track task dynamics and predict performance in controlled decision-making.Psychophysiology · 2022Article
- Modulation of Gamma Spectral Amplitude and Connectivity During Reaching Predicts Peak Velocity and Movement Duration.Frontiers in neuroscience · 2022Article
- Disentangling human grasping type from the object's intrinsic properties using low-frequency EEG signals.Neuroimage. Reports · 2021Article
- The Argo: a high channel count recording system for neural recording in vivo.Journal of neural engineering · 2021Article
- Decoding Neural Activity in Sulcal and White Matter Areas of the Brain to Accurately Predict Individual Finger Movement and Tactile Stimuli of the Human Hand.Frontiers in neuroscience · 2021Article
- Electromyogram (EMG) Removal by Adding Sources of EMG (ERASE)-A Novel ICA-Based Algorithm for Removing Myoelectric Artifacts From EEG.Frontiers in neuroscience · 2020Article
- Refinement of High-Gamma EEG Features From TBI Patients With Hemicraniectomy Using an ICA Informed by Simulated Myoelectric Artifacts.Frontiers in neuroscience · 2020Article
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
It is well-known that motor cortical oscillatory components are modulated in their amplitude during voluntary and imagined movements. These patterns have been used to develop brain-machine interfaces (BMI) which focused mostly on movement kinematics. In contrast, there have been only a few studies on the relation between brain oscillatory activity and the control of force, in particular, grasping force, which is of primary importance for common daily activities. In this study, we recorded intraoperative high-density electrocorticography (ECoG) from the sensorimotor cortex of four patients while they executed a voluntary isometric hand grasp following verbal instruction. The grasp was held for 2 to 3 s before being instructed to relax. We studied the power modulations of neural oscillations during the whole time-course of the grasp (onset, hold, and offset phases). Phasic event-related desynchronization (ERD) in the low-frequency band (LFB) from 8 to 32 Hz and event-related synchronization (ERS) in the high-frequency band (HFB) from 60 to 200 Hz were observed at grasp onset and offset. However, during the grasp holding period, the magnitude of LFB-ERD and HFB-ERS decreased near or at the baseline level. Overall, LFB-ERD and HFB-ERS show phasic characteristics related to the changes of grasp force (onset/offset) in all four patients. More precisely, the fluctuations of HFB-ERS primarily, and of LFB-ERD to a lesser extent, correlated with the time-course of the first time-derivative of force (yank), rather than with force itself. To the best of our knowledge, this is the first study that establishes such a correlation. These results have fundamental implications for the decoding of grasp in brain oscillatory activity-based neuroprosthetics.
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