Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High-Frequency Spinal Cord Stimulation Modifies Tibial Nerve-Stimulation-Evoked Cortical Theta-Gamma Coupling in Sheep Cortex.

The European journal of neuroscience·2026
Same author

Exploring the role of focused ultrasound in neurosurgery and neuro-oncology.

Journal of neurology, neurosurgery, and psychiatry·2026
Same author

Decoding pre-movement neural activity from thalamic LFPs for adaptive neurostimulation in tremor patients.

Neurocomputing·2026
Same author

PCN-224-Pt nanozyme for dual-mode detection of acetylcholinesterase <i>via</i>LMB-PEG.

Chemical communications (Cambridge, England)·2026
Same author

Multi-omics reveals microbiota, metabolite, and immunological heterogeneity of age-related endotypes in type 1 diabetes.

Signal transduction and targeted therapy·2026
Same author

Predictors of deep brain stimulation response in patients with obsessive compulsive disorder: a systematic review and meta-analysis.

Scientific reports·2026

Related Experiment Video

Updated: Mar 12, 2026

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans
08:25

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

Published on: May 19, 2016

11.3K

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

Huiling Tan1,2, Alek Pogosyan1,2, Keyoumars Ashkan3

  • 1Medical Research Council Brain Network Dynamics Unit, University of Oxford, Oxford, United Kingdom.

Elife
|November 19, 2016
PubMed
Summary

Researchers decoded gripping force using brain signals from the subthalamic nucleus (STN). Local field potential (LFP) activities in gamma and beta bands accurately predicted grip force, aiding human-machine interface development.

Keywords:
basal gangliabeta oscillationgamma oscillationgripping forcehumanlocal field potentialsneuroscience

More Related Videos

Measurement of Spatial Stability in Precision Grip
09:36

Measurement of Spatial Stability in Precision Grip

Published on: June 4, 2020

3.6K
Studying Food Reward and Motivation in Humans
12:09

Studying Food Reward and Motivation in Humans

Published on: March 19, 2014

24.2K

Related Experiment Videos

Last Updated: Mar 12, 2026

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans
08:25

Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans

Published on: May 19, 2016

11.3K
Measurement of Spatial Stability in Precision Grip
09:36

Measurement of Spatial Stability in Precision Grip

Published on: June 4, 2020

3.6K
Studying Food Reward and Motivation in Humans
12:09

Studying Food Reward and Motivation in Humans

Published on: March 19, 2014

24.2K

Area of Science:

  • Neuroscience
  • Motor Control
  • Biomedical Engineering

Background:

  • The basal ganglia play a crucial role in motor control, including planning, execution, and regulation of gripping force and movement.
  • Understanding the specific neural signals within the basal ganglia that govern force control is essential for advancing our knowledge of motor function.

Purpose of the Study:

  • To elucidate the nature of the basal ganglia's control signal for gripping force.
  • To decode gripping force by analyzing local field potential (LFP) activities recorded from the subthalamic nucleus (STN).

Main Methods:

  • Recording local field potential (LFP) activities from the subthalamic nucleus (STN) in patients with deep brain stimulation (DBS) electrodes.
  • Analyzing STN LFP activities in gamma (55-90 Hz) and beta (13-30 Hz) frequency bands.
  • Developing a first-order dynamic linear model using STN LFP features to decode gripping force.

Main Results:

  • STN LFP activities within the gamma and beta bands were identified as the most informative signals for gripping force.
  • A dynamic linear model incorporating these STN LFP features successfully decoded the temporal profile of gripping force.
  • The findings demonstrate a direct correlation between specific STN LFP patterns and grip force modulation.

Conclusions:

  • The study enhances the understanding of basal ganglia's role in controlling gripping force.
  • Deep brain LFPs, particularly from the STN, show potential for decoding movement parameters related to force and vigor.
  • These findings could inform the development of sophisticated human-machine interfaces for motor rehabilitation and control.