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

Building an auxiliary diagnostic and treatment efficacy prediction model for adolescent depression using machine learning based on electroencephalography technology.

Frontiers in human neuroscience·2026
Same author

Study on latent sweat fingermark visualization on typical combustible substrates after instantaneous thermal exposure.

Forensic science international·2026
Same author

Prediction of myelosuppression in cervical cancer after concurrent chemoradiotherapy by CT radiomics-based model.

BMC medical imaging·2026
Same author

Tandem WGSR-Inspired Nitroarene Reductive Carbonylative C-N Coupling for Nongaseous Amide Synthesis.

The Journal of organic chemistry·2026
Same author

GALNT3 Inhibits the Progression of Cerebral Ischemia-Reperfusion Injury by Stabilizing TREM2 via O-GalNAc Glycosylation.

CNS neuroscience & therapeutics·2026
Same author

Calcium phosphate polymer induced liquid precursor improves dentin bonding performance of primary teeth with dentinogenesis imperfecta type II.

BMC oral health·2026
Same journal

A human-specific genetic modifier reconfigures large-scale cortical network dynamics underlying behavioral performance.

bioRxiv : the preprint server for biology·2026
Same journal

<i>Staphylococcus aureus</i> uses a eukaryotic-like uridyltransferase to make UDP-GlcNAc for cell wall synthesis.

bioRxiv : the preprint server for biology·2026
Same journal

Dynamic redistribution of eIF4F controls cap-dependent translation initiation.

bioRxiv : the preprint server for biology·2026
Same journal

When does additional information improve accuracy of RNA secondary structure prediction?

bioRxiv : the preprint server for biology·2026
Same journal

Normative brain-state trajectories reveal deviation from healthy aging in Alzheimer's disease.

bioRxiv : the preprint server for biology·2026
Same journal

Noradrenergic infraslow rhythm during sleep is the critical link between heart-rate dynamics and memory consolidation.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Aug 9, 2025

Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke
08:23

Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke

Published on: July 26, 2021

2.6K

Lower-limb Nonparametric Functional Muscle Network: Test-retest Reliability Analysis.

Rory Oâ Keeffe, Jinghui Yang, Sarmad Mehrdad

    Biorxiv : the Preprint Server for Biology
    |February 17, 2023
    PubMed
    Summary
    This summary is machine-generated.

    Functional muscle network analysis shows high reliability for tracking intermuscular synchronicity in lower limb movements. These network metrics offer reliable biomarkers for rehabilitation, outperforming traditional surface electromyography (sEMG) measures.

    More Related Videos

    Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
    08:40

    Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

    Published on: June 12, 2019

    7.5K
    Lower Limb Biomechanical Analysis of Healthy Participants
    06:36

    Lower Limb Biomechanical Analysis of Healthy Participants

    Published on: April 15, 2020

    9.1K

    Related Experiment Videos

    Last Updated: Aug 9, 2025

    Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke
    08:23

    Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke

    Published on: July 26, 2021

    2.6K
    Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
    08:40

    Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity

    Published on: June 12, 2019

    7.5K
    Lower Limb Biomechanical Analysis of Healthy Participants
    06:36

    Lower Limb Biomechanical Analysis of Healthy Participants

    Published on: April 15, 2020

    9.1K

    Area of Science:

    • Biomechanics
    • Neuroscience
    • Rehabilitation Engineering

    Background:

    • Functional muscle network analysis shows promise for detecting intermuscular synchronicity changes.
    • Reliability of these network measures, particularly between and within sessions, remains largely unestablished.
    • Previous studies primarily focused on healthy subjects, with recent extensions to neurological conditions.

    Approach:

    • Investigated the test-retest reliability of non-parametric lower-limb functional muscle networks.
    • Included controlled (sit-to-stand) and lightly controlled (over-the-ground walking) tasks in healthy subjects.
    • Quantified reliability using intraclass correlation coefficient (ICC) for network metrics and compared with surface electromyography (sEMG) root mean square (RMS) and median frequency (MDF).

    Key Points:

    • Muscle network analysis demonstrated superior between-session reliability compared to classical sEMG measures (RMS, MDF).
    • Topographical metrics from functional muscle networks reliably quantify synergistic intermuscular synchronicity in lower limb tasks.
    • Network metrics achieved reliable measurements with fewer sessions, suggesting potential as rehabilitation biomarkers.

    Conclusions:

    • Functional muscle network analysis provides a reliable method for multi-session observations of intermuscular synchronicity.
    • The findings support the use of these network metrics as sensitive biomarkers in rehabilitation settings.
    • This study establishes a foundation for utilizing functional muscle networks in clinical and research applications.