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


ABSTRACT: The basal ganglia are known to be involved in the planning, execution and control of gripping force and movement vigour. Here we aim to define the nature of the basal ganglia control signal for force and to decode gripping force based on local field potential (LFP) activities recorded from the subthalamic nucleus (STN) in patients with deep brain stimulation (DBS) electrodes. We found that STN LFP activities in the gamma (55-90 Hz) and beta (13-30m Hz) bands were most informative about gripping force, and that a first order dynamic linear model with these STN LFP features as inputs can be used to decode the temporal profile of gripping force. Our results enhance the understanding of how the basal ganglia control gripping force, and also suggest that deep brain LFPs could potentially be used to decode movement parameters related to force and movement vigour for the development of advanced human-machine interfaces.

SUBMITTER: Tan H 

PROVIDER: S-EPMC5148608 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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

Tan Huiling H   Pogosyan Alek A   Ashkan Keyoumars K   Green Alexander L AL   Aziz Tipu T   Foltynie Thomas T   Limousin Patricia P   Zrinzo Ludvic L   Hariz Marwan M   Brown Peter P  

eLife 20161118


The basal ganglia are known to be involved in the planning, execution and control of gripping force and movement vigour. Here we aim to define the nature of the basal ganglia control signal for force and to decode gripping force based on local field potential (LFP) activities recorded from the subthalamic nucleus (STN) in patients with deep brain stimulation (DBS) electrodes. We found that STN LFP activities in the gamma (55-90 Hz) and beta (13-30m Hz) bands were most informative about gripping  ...[more]

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