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

Preserving and enhancing social health in neurocognitive disorders.

Current opinion in psychiatry·2021
Same author

Hearing loss, cognition, and risk of neurocognitive disorder: evidence from a longitudinal cohort study of older adult Australians.

Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition·2020
Same author

Is Healthy Neuroticism Associated with Longevity? A Coordinated Integrative Data Analysis.

Collabra. Psychology·2020
Same author

Is Healthy Neuroticism Associated with Health Behaviors? A Coordinated Integrative Data Analysis.

Collabra. Psychology·2020
Same author

Estimating prevalence of subjective cognitive decline in and across international cohort studies of aging: a COSMIC study.

Alzheimer's research & therapy·2020
Same author

Sex differences in risk factors for white matter hyperintensities in non-demented older individuals.

Neurobiology of aging·2020

Related Experiment Video

Updated: Jun 11, 2026

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

White matter integrity in mild cognitive impairment: a tract-based spatial statistics study.

Lin Zhuang1, Wei Wen, Wanlin Zhu

  • 1Brain & Ageing Research Program, School of Psychiatry, University of New South Wales, Sydney, Australia.

Neuroimage
|July 3, 2010
PubMed
Summary

Diffusion tensor imaging (DTI) reveals white matter (WM) damage in mild cognitive impairment (MCI). DTI shows potential as an imaging biomarker for detecting MCI and its subtypes, aiding early diagnosis.

More Related Videos

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
13:26

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
10:33

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

Related Experiment Videos

Last Updated: Jun 11, 2026

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

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
13:26

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
10:33

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

Area of Science:

  • Neuroimaging
  • Neurology
  • Biomarkers

Background:

  • Mild cognitive impairment (MCI) diagnosis lacks specificity, necessitating improved predictive validity as a pre-dementia syndrome.
  • Identifying reliable imaging biomarkers is crucial for enhancing the diagnostic accuracy of MCI.

Purpose of the Study:

  • To investigate white matter (WM) structural alterations in amnestic MCI (aMCI) and non-amnestic MCI (naMCI) using diffusion tensor imaging (DTI).
  • To evaluate the potential of DTI as an imaging biomarker for distinguishing MCI subtypes from cognitively normal (CN) individuals.

Main Methods:

  • Diffusion tensor imaging (DTI) was performed on 96 aMCI, 69 naMCI, and 252 CN participants.
  • Tract-based spatial statistics (TBSS) analyzed fractional anisotropy (FA) to characterize WM changes.
  • Binary logistic regression assessed DTI's diagnostic utility in differentiating MCI from CN.

Main Results:

  • Significantly reduced FA was observed in both aMCI and naMCI groups compared to CN controls.
  • aMCI showed decreased FA across widespread WM regions and specific fibre tracts.
  • The combination of FA measures from the splenium of the corpus callosum and crus of fornix achieved 74.8% accuracy in discriminating aMCI from controls.

Conclusions:

  • DTI analysis of white matter integrity can serve as a potential biomarker for MCI and its subtypes.
  • aMCI findings are consistent with early Alzheimer's disease pathology.
  • naMCI exhibits more heterogeneous underlying pathologies, with relatively spared temporal lobe WM.