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

Hierarchy of Motor Control01:18

Hierarchy of Motor Control

5.9K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
5.9K
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

2.3K
The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at...
2.3K
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

7.0K
The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex....
7.0K

You might also read

Related Articles

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

Sort by
Same author

The IL-10/IL-6 Ratio and the Risk Score: Two Cytokines-Based Predictors for Malignancy-Associated Hemophagocytic Lymphohistiocytosis in Adults (M-HLHa).

American journal of hematology·2026
Same author

PriMAT: Robust multi-animal tracking of primates in the wild.

PloS one·2026
Same author

Pain-Induced changes in corticospinal excitability are associated with adaptive changes in muscle coordination.

Neurobiology of pain (Cambridge, Mass.)·2026
Same author

POD24 is a novel determinant of prognosis in patients with Waldenström macroglobulinemia.

Blood advances·2026
Same author

Freely foraging macaques value information in ambiguous terrains.

Scientific reports·2026
Same author

Waldenström's macroglobulinemia: The LYSA pragmatic guidelines.

European journal of cancer (Oxford, England : 1990)·2025

Related Experiment Video

Updated: Jan 16, 2026

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

2.0K

Frontal and parietal planning signals encode adapted motor commands when learning to control a brain-computer

Enrico Ferrea1, Pierre Morel1,2, Alexander Gail1,3,4,5

  • 1German Primate Center, Göttingen, Germany.

Plos Biology
|September 29, 2025
PubMed
Summary

Researchers used a brain-computer interface (BCI) in monkeys to study visuomotor adaptation. Frontal and parietal cortices better encoded adapted motor commands than visual feedback, suggesting integrated adaptation across these brain regions.

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.1K
Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
11:31

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

15.6K

Related Experiment Videos

Last Updated: Jan 16, 2026

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
09:42

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

Published on: September 1, 2023

2.0K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.1K
Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
11:31

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

15.6K

Area of Science:

  • Neuroscience
  • Motor Control
  • Brain-Computer Interfaces

Background:

  • Visuomotor adaptation studies are challenged by congruent visual and proprioceptive feedback.
  • Understanding neural mechanisms requires dissociating visual and motor signals.

Purpose of the Study:

  • To investigate spatial encoding in frontal and parietal cortices during visuomotor adaptation.
  • To differentiate neural responses to adapted motor commands versus perturbed visual feedback.

Main Methods:

  • Utilized a brain-computer interface (BCI) in rhesus monkeys.
  • Implemented a 3D visuomotor rotation task with movement-contingent visual feedback only.
  • Recorded neural activity from frontal and parietal areas.

Main Results:

  • Frontal and parietal areas predominantly reflected adapted motor commands over visual feedback during movement.
  • Adaptive responses were found in both local and remote neurons, irrespective of BCI input.
  • Frontal cortex showed stronger transfer of adaptive planning to movement correction than parietal cortex.

Conclusions:

  • Frontoparietal cortices exhibit an integrated visuomotor adaptation mechanism.
  • Neural representations operate within a motor-reference frame across these regions.
  • BCI technology enables dissociation of sensory and motor contributions to adaptation.