Decoding gripping force based on local field potentials recorded from subthalamic nucleus in humans

Tan, Huiling; Pogosyan, Alek; Ashkan, Keyoumars; Green, Alexander L.; Aziz, Tipu Z.; Foltynie, Thomas; Limousin, Patricia; Zrinzo, Ludvic; Hariz, Marwan; Brown, Peter

doi:10.7554/elife.19089

Cited by 47 publications

(68 citation statements)

References 44 publications

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“…Published studies on decoding the force of hand grasp generally assumed a linear relation between brain oscillatory activity, such as beta and gamma-band power of ECoG or LFP, and grasp force (Chen et al, 2014;Flint et al, 2014;Milekovic et al, 2015;Tan et al, 2016). However, in this study, we show that the dynamics of LFB-ERD and HFB-ERS were more congruent with the first time-derivative of force rather than force itself.…”

Section: Possible Challenges In Ecog Decoding For Sustained Hand Graspcontrasting

confidence: 71%

Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate With Time-Derivative of Force During Hand Grasp

et al. 2020

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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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Section: Possible Challenges In Ecog Decoding For Sustained Hand Graspcontrasting

confidence: 71%

Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate With Time-Derivative of Force During Hand Grasp

et al. 2020

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“…Motor vigor describes the gain of the parameters for a purposive action, that is, speed or amplitude ( Turner and Desmurget, 2010 ; Panigrahi et al, 2015 ; Tan et al, 2015 ) and increasing evidence from animal models suggests that the encoding of motor vigor, with special emphasis on movement speed, is strongly dopamine dependent ( Panigrahi et al, 2015 ; Yttri and Dudman, 2016 ). Several studies have shown in patients with Parkinson’s disease ON medication that subthalamic gamma synchrony scales with kinematic parameters albeit primarily focusing on force instead of velocity modulated movements ( Anzak et al, 2012 ; Joundi et al, 2012 ; Tan et al, 2013 ; Tan et al, 2016 ; Fischer et al, 2017 ). Given that patients with Parkinson’s disease OFF medication display increasingly bradykinetic and decrementing movements as signs of reduced motor vigor, the question arises whether dopamine affects the scaling capacity within the gamma frequency range.…”

Section: Discussionmentioning

confidence: 99%

Dopamine-dependent scaling of subthalamic gamma bursts with movement velocity in patients with Parkinson’s disease

Lofredi

Neumann

Bock

et al. 2018

eLife

140

128

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19Gamma synchronization increases during movement and scales with kinematic parameters. 20Here, disease-specific characteristics of this synchronization and the dopamine-dependence of with symptom severity. In the dopamine-depleted state, gamma power and burst rate 28 significantly decreased, particularly when peak velocity was slower than ON medication. 29Burst amplitude and duration were unaffected by the medication state. We propose that

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“…Here, beta oscillations may carry information that goes beyond a simple preparation signal. Recently, it has been reported that movement and force are encoded in beta oscillations (Tan et al, ). In fact, previous studies suggested that beta oscillations can be content specific, enabling them to carry information about currently processed tasks.…”

Section: Discussionmentioning

confidence: 99%

Beta‐band oscillations play an essential role in motor–auditory interactions

Abbasi

Groß

2019

Human Brain Mapping

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In the human brain, self-generated auditory stimuli elicit smaller cortical responses compared to externally generated sounds. This sensory attenuation is thought to result from predictions about the sensory consequences of self-generated actions that rely on motor commands. Previous research has implicated brain oscillations in this process. However, the specific role of these oscillations in motor-auditory interactions during sensory attenuation is still unclear. In this study, we aimed at addressing this question by using magnetoencephalography (MEG). We recorded MEG in 20 healthy participants during listening to passively presented and selfgenerated tones. Our results show that the magnitude of sensory attenuation in bilateral auditory areas is significantly correlated with the modulation of beta-band (15-30 Hz) amplitude in the motor cortex. Moreover, we observed a significant directional coupling (Granger causality) in beta-band originating from the motor cortex toward bilateral auditory areas. Our findings indicate that beta-band oscillations play an important role in mediating top-down interactions between motor and auditory cortex and, in our paradigm, suppress cortical responses to predicted sensory input. K E Y W O R D Sauditory perception, beta-band oscillation, MEG, motor-auditory interactions, prediction, sensory attenuation

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Decoding gripping force based on local field potentials recorded from subthalamic nucleus in humans

Cited by 47 publications

References 44 publications

Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate With Time-Derivative of Force During Hand Grasp

Power Modulations of ECoG Alpha/Beta and Gamma Bands Correlate With Time-Derivative of Force During Hand Grasp

Dopamine-dependent scaling of subthalamic gamma bursts with movement velocity in patients with Parkinson’s disease

Beta‐band oscillations play an essential role in motor–auditory interactions

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