Decoding gripping force based on local field potentials recorded from subthalamic nucleus in humans.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 27855780.
- Also identified by DOI 10.7554/eLife.19089 and PMC identifier 5148608.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Action Potentials
- Deep Brain Stimulation
- Muscle Strength
- Parkinson Disease
- Subthalamic Nucleus