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

Brainstem01:19

Brainstem

The brainstem, located inferior to the brain and superior to the spinal cord, serves as a bridge between the cerebrum and the spinal cord. It plays a vital role in relaying information and controlling critical life functions. It comprises three primary regions: the midbrain, pons, and medulla oblongata.
The Midbrain
The midbrain is located beneath the diencephalon and connects the cerebrum with the lower parts of the brain. The cerebral peduncles are prominent midbrain structures that house the...
Brainstem: Control Centers of Medulla01:21

Brainstem: Control Centers of Medulla

The medulla oblongata is a crucial part of the brainstem responsible for controlling various autonomic and involuntary functions. It contains several nuclei, including the olivary, cuneate, gracile, and solitary nuclei.
Olivary Nucleus
The olivary nucleus, or inferior olivary nucleus, is located within the ventrolateral part of the medulla oblongata. It is primarily involved in motor coordination and motor learning. The olivary nucleus receives input from the spinal cord, cerebellum, and motor...

You might also read

Related Articles

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

Sort by
Same author

Cortical state dynamics as a target for stroke motor rehabilitation.

Neuron·2025
Same author

Modulation of Neural Spiking in Motor Cortex-Cerebellar Networks during Sleep Spindles.

eNeuro·2024
Same author

Cortico-cerebellar coordination facilitates neuroprosthetic control.

Science advances·2024
Same author

Disturbed laterality of non-rapid eye movement sleep oscillations in post-stroke human sleep: a pilot study.

Frontiers in neurology·2023
Same author

Brain-machine interface learning is facilitated by specific patterning of distributed cortical feedback.

Science advances·2023
Same author

Disturbed laterality of non-rapid eye movement sleep oscillations in post-stroke human sleep: a pilot study.

medRxiv : the preprint server for health sciences·2023

Related Experiment Video

Updated: Jul 14, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.6K

Effective cerebellar neuroprosthetic control after stroke.

Rohit Rangwani1, Aamir Abbasi2, Tanuj Gulati3

  • 1Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; Department of Bioengineering, Henry Samueli School of Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Cell Reports
|July 22, 2025
PubMed
Summary

The cerebellum can effectively control brain-machine interfaces (BMIs) for motor function restoration after stroke, even when the motor cortex is impaired. Cerebellar neural activity offers a promising alternative for neuroprosthetic control.

Keywords:
CP: Neurosciencebrain-machine interfacecerebellumcortico-cerebellar networkinter-area communicationmotor cortexneural plasticityneuroprostheticsneurorehabilitationpost-stroke compensationstroke

More Related Videos

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

885
Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

830

Related Experiment Videos

Last Updated: Jul 14, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.6K
Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

885
Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

830

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Medicine

Background:

  • Brain-machine interfaces (BMIs) are crucial for restoring motor function in stroke survivors.
  • Current BMIs primarily utilize motor cortex (M1) signals, which are often compromised post-stroke.
  • The cerebellum, vital for motor control, is an underutilized neural source for BMIs.

Purpose of the Study:

  • To investigate the efficacy of using cerebellar neural activity to drive BMIs in a rat stroke model.
  • To compare cerebellar-driven BMI performance with M1-driven BMI control.
  • To explore the neural dynamics between the cerebellum and M1 after stroke.

Main Methods:

  • Chronic electrophysiological recordings were performed in rats with a stroke model.
  • Cerebellar and M1 neural activity were recorded during BMI control tasks.
  • Analysis focused on the performance of cerebellar-driven BMIs and M1-cerebellar network interactions.

Main Results:

  • Cerebellar neural activity effectively drove BMI control, performing comparably to M1-driven control.
  • This efficacy was maintained even in rats with post-stroke motor impairments.
  • Post-stroke, M1's influence on cerebellar neurons shifted from longer to shorter timescales, while cerebellar influence remained stable.

Conclusions:

  • Cerebellar neural control is feasible for BMIs in the context of a stroke-affected brain.
  • Cerebellar-driven BMIs offer a viable alternative for motor function restoration.
  • Stroke induces significant changes in M1-cerebellar network dynamics, impacting neural control pathways.