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Brain-Computer Interface ResearchPower Modulations of Gamma Band in Sensorimotor Cortex Correlate with Time-Derivative of Grasp Force in Human Subjects

Brain-Computer Interface Research: Power Modulations of Gamma Band in Sensorimotor Cortex... [Grasping objects of different size and weight is one of the most important hand functions in our daily lives. For this reason, a hand neuroprosthetic needs to be able to perform it with high accuracy. Previous brain-machine interface (BMI) studies often focused on decoding the kinematic part of the grasp such as individual finger position or velocity. Less is known about the kinetic part such as the generation and maintenance of grasp force. 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 during awake surgeries. They were instructed to squeeze a hand-held dynamometer and maintain the grasp for 2–3 s before relaxing. We studied the power modulations of the neural oscillations during the whole time-course of the grasp including 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 holding period, the magnitude of LFB-ERD and HFB-ERS decreased near or at the baseline level. More importantly, we found that 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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Brain-Computer Interface ResearchPower Modulations of Gamma Band in Sensorimotor Cortex Correlate with Time-Derivative of Grasp Force in Human Subjects

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
ISBN
978-3-030-60459-2
Pages
89 –102
DOI
10.1007/978-3-030-60460-8_8
Publisher site
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Abstract

[Grasping objects of different size and weight is one of the most important hand functions in our daily lives. For this reason, a hand neuroprosthetic needs to be able to perform it with high accuracy. Previous brain-machine interface (BMI) studies often focused on decoding the kinematic part of the grasp such as individual finger position or velocity. Less is known about the kinetic part such as the generation and maintenance of grasp force. 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 during awake surgeries. They were instructed to squeeze a hand-held dynamometer and maintain the grasp for 2–3 s before relaxing. We studied the power modulations of the neural oscillations during the whole time-course of the grasp including 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 holding period, the magnitude of LFB-ERD and HFB-ERS decreased near or at the baseline level. More importantly, we found that 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.]

Published: Apr 2, 2021

Keywords: Electrocorticography (ECoG); Brain-machine interface (BMI); Event-related desynchronization (ERD); Even-related synchronization (ERS); Neuroprosthetics; Grasp force

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