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

Regional, functional and transcriptomic decoding of multidimensional brain structure alterations in obsessive-compulsive disorder.

Nature communications·2026
Same author

Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools.

Scientific reports·2026
Same author

Body roundness index as a predictor of depression in dementia: A cross-sectional study.

Journal of health psychology·2026
Same author

Diffusion MRI sampling schemes bias diffusion metrics and tractography.

Frontiers in neuroimaging·2026
Same author

The secret connections of the brain: a connectomic reserve for neuroplasticity?

Brain : a journal of neurology·2026
Same author

Basic Science and Pathogenesis.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025

Related Experiment Video

Updated: Sep 2, 2025

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

28.1K

Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study.

Fernanda H P de Moraes1, Victor B B Mello2, Fernanda Tovar-Moll1

  • 1Brain Connectivity Unit, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, Brazil.

Frontiers in Neuroscience
|August 4, 2022
PubMed
Summary
This summary is machine-generated.

Alzheimer's Disease (AD) shows similar global and local brain degeneration patterns to premature aging. This study establishes a baseline for cortical folding variables across the human lifespan, aiding future research into brain morphology and aging.

Keywords:
Alzheimer's Diseaseagingbaseline estimationcortical foldingharmonization

More Related Videos

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study
07:30

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study

Published on: August 18, 2020

6.8K
A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

4.1K

Related Experiment Videos

Last Updated: Sep 2, 2025

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

28.1K
Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study
07:30

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study

Published on: August 18, 2020

6.8K
A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

4.1K

Area of Science:

  • Neuroscience
  • Computational Biology
  • Medical Imaging

Background:

  • Cerebral cortical folding patterns are linked to health, disease, development, and aging.
  • Understanding the mechanisms of cortical folding differences requires morphometric variables derived from first principles.
  • A universal self-similar cortical folding model has been validated on comparative neuroanatomical data.

Purpose of the Study:

  • Establish a baseline for morphometric variables of cortical folding across the human lifespan.
  • Extend the universal self-similar cortical folding model to incorporate brain morphology time evolution.
  • Investigate if Alzheimer's Disease (AD) represents accelerated aging at the brain structural level.

Main Methods:

  • Extracted morphological features from structural MRI of 3,650 subjects (3,095 healthy controls, 555 AD patients) across 9 harmonized datasets.
  • Developed a straightforward harmonization procedure to reduce acquisition and processing uncertainties.
  • Analyzed lifespan trajectories of cortical folding variables in healthy controls and AD patients.

Main Results:

  • Established a validated baseline for cortical folding variables from development to aging.
  • Estimated uncertainties for these morphometric variables.
  • Demonstrated that AD exhibits global and local degeneration patterns similar to premature aging.

Conclusions:

  • Alzheimer's Disease can be characterized as a form of premature aging based on structural brain degeneration.
  • The new methodology provides a baseline for studying brain morphology across the lifespan and in disease.
  • This approach is essential for simulating cortical folding processes and exploring transitions between healthy and pathological aging.