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 Experiment Videos

Brain mapping as a tool to study neurodegeneration.

Liana G Apostolova1, Paul M Thompson

  • 1Department of Neurology and Laboratory of NeuroImaging, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, California 90095, USA. lapostolova@mednet.ucla.edu

Neurotherapeutics : the Journal of the American Society for Experimental Neurotherapeutics
|June 30, 2007
PubMed
Summary
This summary is machine-generated.

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

The Indiana University Brain Health Program to deliver amyloid-targeted therapy to Alzheimer's disease patients.

Alzheimer's & dementia (New York, N. Y.)·2026
Same author

Characterisation of Posterior Predominant Amyloid PET Binding Across Multiple Cohorts.

bioRxiv : the preprint server for biology·2026
Same author

Identification of patients receiving amyloid-targeting therapies in observational studies using amyloid PET trajectories: Insights from LEADS.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

Improving the clinical trial landscape for patients with atypical variants of Alzheimer's disease: a call to action.

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

Outcomes of dyadic recruitment in the promoting re-engagement in meaningful activity (PRIMA) trial.

Contemporary clinical trials·2026
Same author

Development and validation of a harmonized memory score for multicenter Alzheimer's disease and related dementia research.

Alzheimer's research & therapy·2026

Neuroimaging and computational anatomy reveal brain changes in Alzheimer's disease (AD). These methods predict cognitive decline and disease onset, aiding in early diagnosis and understanding AD progression.

Area of Science:

  • Neuroimaging
  • Computational Anatomy
  • Neurodegenerative Diseases

Background:

  • Alzheimer's disease (AD) is a leading cause of dementia in older adults, affecting millions and projected to increase significantly.
  • Understanding the progression of AD and its impact on brain structure is crucial for developing effective interventions.
  • Mild cognitive impairment (MCI) is a significant risk factor for dementia, often accompanied by detectable brain changes.

Purpose of the Study:

  • To review advanced neuroimaging and computational anatomy techniques for assessing brain degeneration in Alzheimer's disease.
  • To highlight how these methods reveal the dynamic changes in brain structure associated with AD progression and cognitive decline.
  • To discuss the predictive power of these techniques for imminent disease onset, particularly in individuals with MCI.

Related Experiment Videos

Main Methods:

  • Voxel-based morphometry (VBM)
  • Tensor-based morphometry (TBM)
  • Cortical thickness mapping
  • Hippocampal atrophy mapping
  • Automated ventricular anatomy mapping

Main Results:

  • Computational anatomy applied to MRI scans reveals patterns of cortical and hippocampal changes in AD.
  • These structural changes correlate with cognitive decline and predict future clinical outcomes.
  • Specific brain alterations in individuals with MCI are predictive of imminent conversion to dementia.

Conclusions:

  • Neuroimaging and computational anatomy are powerful tools for understanding the spatial and temporal aspects of AD in the living brain.
  • These techniques offer insights into the relationship between brain structure, cognitive function, and disease progression.
  • The reviewed methods have broad applications in AD research and the study of other neurological and neuropsychiatric disorders.