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

Correction: How pain intensity and mental disorders shape chronic pain sick leave and quality of life in the general Spanish population.

Scientific reports·2026
Same author

Clinical Spectrum of Anti-SEZ6L2 Syndrome: A Case Report With Brain Volumetry and Systematic Literature Review.

Neurology(R) neuroimmunology & neuroinflammation·2026
Same author

Hyperbaric oxygen therapy improves clinical symptoms and functional capacity and modulates thalamic connectivity in ME/CFS: a prospective cohort study.

Journal of translational medicine·2026
Same author

Long-term memory reorganization of navigational episodes.

Nature human behaviour·2026
Same author

Author Response: Eculizumab Use in Neuromyelitis Optica Spectrum Disorders: Routine Clinical Care Data From a European Cohort.

Neurology·2026
Same author

Author Response: Eculizumab Use in Neuromyelitis Optica Spectrum Disorders: Routine Clinical Care Data From a European Cohort.

Neurology·2026

Related Experiment Video

Updated: Jul 17, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.3K

Functional connectome fingerprinting and stability in multiple sclerosis.

Maron Mantwill1,2, Susanna Asseyer3,4,5,6, Claudia Chien3,4,6,7

  • 1Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Multiple Sclerosis Journal - Experimental, Translational and Clinical
|August 29, 2023
PubMed
Summary

Functional connectome fingerprinting remains stable over long periods in multiple sclerosis patients, enabling reliable individual identification. Distinctive brain network signatures persist, aiding in understanding disease progression and predicting cognitive outcomes.

Keywords:
Connectome Fingerprintingfunctional connectomemultiple sclerosisnormative variationresting state fMRII

More Related Videos

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.5K
A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.2K

Related Experiment Videos

Last Updated: Jul 17, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.3K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.5K
A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
08:23

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy

Published on: November 13, 2016

11.2K

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Systems Biology

Background:

  • Functional connectome fingerprinting uses brain connectivity to identify individuals.
  • Prior research primarily utilized short intervals between functional magnetic resonance imaging (fMRI) scans.

Purpose of the Study:

  • To assess the long-term stability of connectome-based identification in multiple sclerosis (MS) patients and healthy controls.
  • To identify the brain regions, connections, and networks that underpin individual identification over extended periods.

Main Methods:

  • Resting-state fMRI data were collected from 70 MS patients and 273 healthy individuals with long follow-up intervals (up to 4 and 9 years).
  • Functional connectome fingerprinting was employed to evaluate connectome stability and identify individual-specific signatures.
  • The predictive power of functional connectivity for cognitive and behavioral outcomes was investigated.

Main Results:

  • MS patients exhibited connectome stability and identification accuracies comparable to healthy individuals.
  • Identification accuracy decreased from 89% to 76% with longer time delays between imaging sessions.
  • Specific connections within the fronto-parietal and default mode networks were consistently the most informative for individual identification.
  • Functional connectivity patterns successfully predicted individual cognitive performance.

Conclusions:

  • Discriminatory functional connectome signatures are stable over extended durations in individuals with multiple sclerosis.
  • Long-lasting functional connectome fingerprinting signatures are consistent between MS patients and healthy individuals.
  • This stability supports the use of functional connectome fingerprinting in longitudinal studies of neurological conditions.