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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

8.9K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
8.9K

You might also read

Related Articles

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

Sort by
Same author

Hyperacute Interleukin-1β Production and Neutrophil Extracellular Trap Formation in the Cerebral Circulation of Stroke Patients with Large Vessel Occlusion.

Annals of neurology·2026
Same author

Cognitive reserve against vascular contributions to cognitive impairment and dementia: A scoping review.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Shared transcriptomic signatures in perilesional and contralesional cortex after ischemic stroke.

Journal of neuroinflammation·2026
Same author

Editorial: Recent advances in translational neurovascular and cerebroprotection research.

Frontiers in neuroscience·2026
Same author

Influence of an AQP4 haplotype and sleep duration on early Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Trafficking of protein kinases to mitochondria: Implications for ischemic stroke.

Experimental gerontology·2026
Same journal

Age-related differences in motor learning, sensorimotor neurochemistry, and cortical reactivity co-occur but are dissociated.

Neurobiology of aging·2026
Same journal

How cognition and hearing-related measures covary with hippocampal subfield features from structural MRI in younger and older adults.

Neurobiology of aging·2026
Same journal

Decreased awareness of cognitive decline is associated with multimodal Alzheimer's disease biomarkers in cognitively unimpaired individuals.

Neurobiology of aging·2026
Same journal

Review of current research practices in social and structural determinants of health data collection in Canadian longitudinal cohorts of aging and dementia.

Neurobiology of aging·2026
Same journal

Global brain maintenance predicts well-preserved cognitive function: A pooled analysis of three longitudinal population-based Swedish cohorts.

Neurobiology of aging·2026
Same journal

Midlife insulin resistance and brain beta-amyloid accumulation as predictors of change in late-life cognitive function - A 20-year follow-up study.

Neurobiology of aging·2026
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

49.2K

White matter hyperintensity regression: Fact or artifact?

Ahmed A Bahrani1, Peter T Nelson2, Erin L Abner3

  • 1Department of Neurology, University of Kentucky, Lexington, KY, USA; Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.

Neurobiology of Aging
|December 9, 2025
PubMed
Summary
This summary is machine-generated.

White matter hyperintensities (WMH) can decrease in volume, suggesting brain recovery. This review confirms WMH regression is a real biological process, not just an artifact, potentially influenced by treatments.

Keywords:
Cerebrovascular risk factorsLongitudinal studiesVCIDWMH dynamic changesreversible white matter lesion

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

29.1K
Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.7K

Related Experiment Videos

Last Updated: Jan 9, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

49.2K
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

29.1K
Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
08:51

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla

Published on: February 19, 2021

9.7K

Area of Science:

  • Neurology
  • Radiology
  • Neuroimaging

Background:

  • White matter hyperintensities (WMH) are key MRI biomarkers linked to aging and dementia.
  • While WMH volume typically increases, spontaneous regression suggests active brain repair mechanisms.
  • The biological reality of WMH regression versus imaging artifacts remains debated.

Purpose of the Study:

  • To review evidence on white matter hyperintensity (WMH) regression.
  • To analyze methods for detecting and quantifying WMH regression.
  • To explore proposed biological mechanisms underlying WMH regression.

Main Methods:

  • Systematic literature review following PRISMA guidelines.
  • Analysis of 174 articles, focusing on 31 directly addressing WMH regression.
  • Evaluation of technical factors and measurement protocols in WMH quantification.

Main Results:

  • Identified 26 original studies and 5 case reports on WMH regression.
  • Highlighted technical factors (scan parameters, motion, intervals) influencing measurements.
  • Found strong evidence supporting WMH regression as a robust biological phenomenon.

Conclusions:

  • WMH regression is a biologically significant process, not solely an artifact.
  • Standardized measurement protocols are crucial for accurate assessment.
  • WMH regression may be modulated by clinical interventions, warranting further research.