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

MT-MRI for detection of renal interstitial fibrosis in renovascular disease.

Scientific reports·2026
Same author

A Mobile App (Tpro) for Symptom Management in Patients With Deep Vein Thrombosis Based on Patient-Reported Outcomes: Design and Development Using an Iterative Convergent Mixed Methods Approach.

JMIR human factors·2026
Same author

Responses of aerosol pH to anthropogenic emission changes in northern China: Insights from the 2022 Winter Olympics control.

Journal of environmental sciences (China)·2026
Same author

Measuring the spatial lag effect of Tobler's First Law of Geography in Earth system predictive learning.

Scientific reports·2026
Same author

The effects of Tai Chi Chuan combined with unstable resistance training on knee muscle strength and dynamic balance in female college students: a randomized controlled study protocol.

Frontiers in public health·2026
Same author

Genetic Dissection of Resistance to Northern Corn Leaf Blight in a Large Commercial Maize Hybrid Population.

International journal of molecular sciences·2026

Related Experiment Video

Updated: Nov 10, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.7K

Rat Locomotion Detection Based on Brain Functional Directed Connectivity from Implanted Electroencephalography

Bo Li1, Minjian Zhang1, Yafei Liu1

  • 1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Brain Sciences
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

Brain connectivity patterns differ between upslope and downslope rat walking. This study demonstrates brain connectivity can accurately detect locomotion states, highlighting high gamma band activity.

Keywords:
brain functional directed connectivityelectroencephalographyfreely walking ratsgranger causalitylocomotion detectionmachine learning

More Related Videos

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

15.4K
Simultaneous Recordings of Cortical Local Field Potentials, Electrocardiogram, Electromyogram, and Breathing Rhythm from a Freely Moving Rat
10:07

Simultaneous Recordings of Cortical Local Field Potentials, Electrocardiogram, Electromyogram, and Breathing Rhythm from a Freely Moving Rat

Published on: April 2, 2018

11.2K

Related Experiment Videos

Last Updated: Nov 10, 2025

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.7K
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

15.4K
Simultaneous Recordings of Cortical Local Field Potentials, Electrocardiogram, Electromyogram, and Breathing Rhythm from a Freely Moving Rat
10:07

Simultaneous Recordings of Cortical Local Field Potentials, Electrocardiogram, Electromyogram, and Breathing Rhythm from a Freely Moving Rat

Published on: April 2, 2018

11.2K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Locomotion Studies

Background:

  • Cortical involvement in rat locomotion is known.
  • Spectral characteristics of cortical activity vary with walking conditions.
  • Differences in brain connectivity during distinct rat locomotion behaviors remain unverified.

Purpose of the Study:

  • To investigate differences in brain functional directed connectivity during upslope and downslope walking in rats.
  • To determine if brain connectivity can be utilized for locomotion detection.
  • To identify neural information interaction characteristics during rat locomotion.

Main Methods:

  • Recorded electroencephalography (EEG) signals and locomotion in freely moving rats during upslope and downslope walking.
  • Applied Granger causality to assess brain functional directed connectivity.
  • Utilized machine learning algorithms for locomotion state classification based on connectivity.

Main Results:

  • Significant differences in brain functional directed connectivity were observed between upslope and downslope walking.
  • Locomotion detection using brain connectivity achieved high accuracy (91.45%), sensitivity (90.93%), and specificity (91.3%).
  • High gamma band connectivity features provided the most discriminative information for locomotion detection, with Support Vector Machine (SVM) as the top classifier.

Conclusions:

  • Brain functional directed connectivity differs across various rat locomotion behaviors.
  • Brain connectivity serves as a viable method for classifying rat walking states.
  • Findings elucidate neural information interactions within the cortex during freely walking rats.