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

Long-term social cognitive impairment after ischemic stroke: Frequency and association with lesion volume and location in an exploratory pilot study.

Journal of the neurological sciences·2026
Same author

A woman in her 70s with chest pain and elevated troponin T levels.

Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke·2026
Same author

Study of Antithrombotic Treatment After Intracerebral Hemorrhage-Antiplatelets: A Randomized Trial.

Stroke·2026
Same author

Stroke detection in medical emergency calls: a retrospective analysis and exploratory evaluation of an AI decision support model.

Scandinavian journal of trauma, resuscitation and emergency medicine·2026
Same author

Life's Essential 8 score and SCORE2 for Cardiovascular Risk Prediction in a Middle-Aged Cohort from the General Population: The Akershus Cardiac Examination 1950 Study.

European journal of preventive cardiology·2026
Same author

The Hidden Architecture of Brain Structural Variability in 22q11.2 Deletion Syndrome: A Multi-site Study.

medRxiv : the preprint server for health sciences·2026

Related Experiment Video

Updated: Nov 10, 2025

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

1.1K

Structural brain disconnectivity mapping of post-stroke fatigue.

Kristine M Ulrichsen1, Knut K Kolskår1, Geneviève Richard2

  • 1NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; Department of Psychology, University of Oslo, Norway; Sunnaas Rehabilitation Hospital HT, Nesodden, Norway.

Neuroimage. Clinical
|April 2, 2021
PubMed
Summary

Post-stroke fatigue (PSF) in chronic stroke survivors is not explained by lesion characteristics or structural brain disconnectivity. Further research is needed to understand the complex causes of this common and debilitating symptom.

Keywords:
Brain mappingLesionMRIPost-stroke fatigueStrokeStructural disconnectome

More Related Videos

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

1.7K
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.5K

Related Experiment Videos

Last Updated: Nov 10, 2025

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

1.1K
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

1.7K
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.5K

Area of Science:

  • Neuroscience
  • Neurology
  • Rehabilitation Medicine

Background:

  • Post-stroke fatigue (PSF) is a common and disabling condition affecting stroke survivors.
  • The precise neural underpinnings of PSF remain unclear, despite the consensus that brain perturbations play a role.
  • Conventional lesion characteristics (size, location) have shown inconsistent predictive value for PSF.

Purpose of the Study:

  • To investigate the neural correlates of PSF in chronic stroke patients using a novel structural disconnectivity approach.
  • To evaluate the added explanatory value of the brain disconnectome compared to traditional lesion characteristics in predicting PSF.
  • To assess associations between PSF and both global and regional disconnectivity measures.

Main Methods:

  • Structural brain disconnectome maps were generated for 84 chronic stroke survivors (≥3 months post-stroke).
  • Normative white matter pathway data from 170 healthy individuals were used to create individual disconnectome maps based on lesion location.
  • Voxel-wise analyses on disconnectome maps and linear models tested associations between PSF (measured by the Fatigue Severity Scale) and disconnectivity/lesion characteristics, with Bayes factor analysis.

Main Results:

  • No significant associations were found between PSF and structural disconnectivity measures (global or regional).
  • Lesion characteristics (size, location) also did not show significant associations with PSF.
  • Moderate evidence favored the null hypothesis, suggesting disconnectivity and lesion features do not explain PSF in this cohort.

Conclusions:

  • The study suggests that lesion characteristics and structural brain disconnectivity alone do not adequately explain post-stroke fatigue in chronic stroke patients.
  • The findings highlight the complexity of PSF etiology, potentially involving factors beyond structural brain network integrity.
  • Methodological considerations are crucial when investigating the neural basis of post-stroke fatigue.