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

A comparative analysis of health-related and individual quality of life in people with Parkinson's disease.

Frontiers in neurology·2026
Same author

Tau pathology in epilepsy: emerging mechanisms and translational opportunities.

Brain : a journal of neurology·2026
Same author

Comparison of CNN-Based Image Classification Approaches for Implementation of Low-Cost Multispectral Arcing Detection.

Sensors (Basel, Switzerland)·2026
Same author

Neuropathological Characterisation of McLeod Syndrome With a Proposed New Grading System.

Neuropathology and applied neurobiology·2025
Same author

Open-source, MRI-compatible grip force sensor for dynamic muscle imaging.

Magma (New York, N.Y.)·2025
Same author

Characterizing the heterogeneity of neurodegenerative diseases through EEG normative modeling.

NPJ Parkinson's disease·2025
Same journal

Preface.

Handbook of clinical neurology·2026
Same journal

Foreword.

Handbook of clinical neurology·2026
Same journal

Fundus autofluorescence imaging.

Handbook of clinical neurology·2026
Same journal

The electroretinogram as a means to study the physiology of the retina.

Handbook of clinical neurology·2026
Same journal

Adaptive optics scanning light ophthalmoscopy.

Handbook of clinical neurology·2026
Same journal

Modeling the human retina in a dish: Advances and future directions.

Handbook of clinical neurology·2026
See all related articles

Related Experiment Video

Updated: May 7, 2026

A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS
08:18

A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS

Published on: December 26, 2015

19.0K

Superficial brain stimulation in multiple sclerosis.

Regina Schlaeger1, Martin Hardmeier, Peter Fuhr

  • 1Department of Neurology, Hospitals of the University of Basel, Basel, Switzerland.

Handbook of Clinical Neurology
|October 12, 2013
PubMed
Summary
This summary is machine-generated.

Transcranial magnetic stimulation (TMS) measures, including central motor conduction time (CMCT), effectively assess motor dysfunction in multiple sclerosis (MS). These techniques show potential for tracking disease progression and treatment response.

Keywords:
central motor conduction timefatiguemonitoringmotor evoked potentialsmultimodal evoked potentialsmultiple sclerosisplasticityprediction

More Related Videos

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function
07:47

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Published on: February 4, 2016

12.8K
Deep Brain Stimulation with Simultaneous fMRI in Rodents
11:09

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

13.8K

Related Experiment Videos

Last Updated: May 7, 2026

A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS
08:18

A Protocol for the Use of Remotely-Supervised Transcranial Direct Current Stimulation tDCS in Multiple Sclerosis MS

Published on: December 26, 2015

19.0K
Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function
07:47

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Published on: February 4, 2016

12.8K
Deep Brain Stimulation with Simultaneous fMRI in Rodents
11:09

Deep Brain Stimulation with Simultaneous fMRI in Rodents

Published on: February 15, 2014

13.8K

Area of Science:

  • Neuroscience
  • Clinical Neurology
  • Biomedical Engineering

Background:

  • Central motor conduction time (CMCT) is a key transcranial magnetic stimulation (TMS) metric in multiple sclerosis (MS), frequently showing abnormalities.
  • Enhanced sensitivity is achieved by incorporating the triple stimulation technique and combining motor evoked potentials (EPs) with other evoked potentials.
  • TMS measures correlate strongly with clinical assessments of motor impairment and overall disability in MS patients.

Purpose of the Study:

  • To evaluate the utility of TMS measures, particularly CMCT, in assessing motor function in MS.
  • To explore the potential of TMS and combined evoked potentials (EPs) for monitoring disease progression and therapeutic efficacy.
  • To investigate subclinical changes in transcallosal connectivity and brain plasticity in MS.

Main Methods:

  • Utilized transcranial magnetic stimulation (TMS) to measure central motor conduction time (CMCT).
  • Employed the triple stimulation technique and combined multimodal evoked potentials (EPs).
  • Assessed transcallosal connectivity using measures like ipsilateral silent period and interhemispheric inhibition.

Main Results:

  • CMCT is abnormal in a high percentage (57-93%) of MS patients.
  • Longitudinal CMCT changes reflect motor function fluctuations, indicating potential for therapeutic response detection.
  • Combined multimodal EPs serve as reliable predictors of the clinical course in MS over extended periods (2-14 years).
  • Altered transcallosal connectivity is observed even in early MS stages, providing insights into subclinical alterations.
  • Paired associative stimulation studies reveal compensatory brain plasticity in MS, involving ipsilateral motor areas.
  • Subjective fatigue in MS patients is linked to distinct abnormalities in cortical modulation of the motor system.

Conclusions:

  • TMS measures, especially CMCT and combined EPs, are valuable tools for quantifying motor dysfunction and predicting clinical outcomes in MS.
  • These neurophysiological techniques offer complementary information on subclinical changes and brain plasticity in MS.
  • Understanding cortical modulation abnormalities is crucial for addressing fatigue in MS patients.