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

Dementia01:30

Dementia

268
Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual....
268
Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

443
Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
443
Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

952
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
952

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Unified Brain Surface and Volume Registration.

... International Conference on Learning Representations·2026
Same author

Learning-based non-linear registration robust to MRI-sequence contrast.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026
Same author

Longitudinal FreeSurfer with non-linear subject-specific template improves sensitivity to cortical thinning.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026
Same author

Disentangling the unique associations of age, pubertal stage, and pubertal hormones with white matter microstructure in childhood and adolescence.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Structural connectome analysis using a graph-based deep model for prediction of non-imaging variables.

Frontiers in neuroscience·2026
Same author

DEEP-LEARNING CORTICAL REGISTRATION GUIDED BY STRUCTURAL AND DIFFUSION MRI AND CONNECTIVITY.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026

Related Experiment Video

Updated: Nov 4, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K

Conductance-Based Structural Brain Connectivity in Aging and Dementia.

Aina Frau-Pascual1, Jean Augustinack1, Divya Varadarajan1

  • 1Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts, USA.

Brain Connectivity
|May 27, 2021
PubMed
Summary

This study introduces a new method to measure brain connectivity using diffusion MRI, revealing its potential for tracking changes in Alzheimer's disease (AD) and healthy aging.

Keywords:
Alzheimer's diseaseagingbrain connectivityconductancediffusion MRI

More Related Videos

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
12:28

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

17.7K
Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

8.1K

Related Experiment Videos

Last Updated: Nov 4, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K
Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
12:28

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

17.7K
Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

8.1K

Area of Science:

  • Neuroscience
  • Medical Imaging
  • Computational Biology

Background:

  • Structural brain connectivity is altered during Alzheimer's disease (AD) progression.
  • Existing methods for quantifying brain connectivity may not capture all relevant pathways.

Purpose of the Study:

  • To quantify brain connectivity in dementia using a novel measure accounting for direct and indirect pathways.
  • To assess the potential of this measure for studying healthy and pathological brain aging.

Main Methods:

  • Utilized diffusion magnetic resonance imaging (dMRI) data from multiple large cohorts (ADNI, OASIS, HCP, EDTID).
  • Applied a new structural connectivity quantification measure sensitive to both direct and indirect pathways.
  • Validated the measure's performance in predicting age and cognitive status.

Main Results:

  • The proposed connectivity measure demonstrated expected trends with age and cognitive scores.
  • Significant age prediction was achieved, with regional effects concentrated in subcortical and temporal regions.
  • The measure shows potential for studying phenomena like anticorrelation in structural connections.

Conclusions:

  • The novel brain connectivity measure is sensitive to changes associated with aging and Alzheimer's disease.
  • This methodology offers new possibilities for detecting subtle effects in both healthy and pathological aging.
  • The technique provides valuable insights beyond current state-of-the-art methods.