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

Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

165
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
165
The Effect of Aging on Tissues01:19

The Effect of Aging on Tissues

3.1K
Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
3.1K
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

8.7K
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...
8.7K
Brain Imaging01:14

Brain Imaging

539
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
539

You might also read

Related Articles

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

Sort by
Same author

The New Tumor Predisposition Syndromes with Neuro-Oncological Relevance-A Comprehensive Review for Neuroradiologists.

Clinical neuroradiology·2026
Same author

Aneurysm wall contrast enhancement after coiling: A retrospective cross-sectional study comparing ruptured and unruptured aneurysms.

Journal of cerebrovascular and endovascular neurosurgery·2026
Same author

Does mRNA-based COVID-19 vaccination in the subacute phase lead to microstructural brain changes? A prospective pilot MRI study using T1 relaxometry.

Scientific reports·2026
Same author

Correction to: Transient Horner's Syndrome Following CT-Guided C7 Nerve Root Block-A Case Report.

Clinical neuroradiology·2026
Same author

Subacute frontoinsular-cingulate tract changes in unvaccinated COVID-19 survivors: A tract-based spatial statistics study of diffusion tensor imaging.

Brain research bulletin·2026
Same author

Oculocardiac Reflex with Asystole Induced by Contrast Administration During Endovascular AcomA Aneurysm Coiling-a Case Report.

Clinical neuroradiology·2026

Related Experiment Video

Updated: Dec 10, 2025

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

9.3K

Cortical aging - new insights with multiparametric quantitative MRI.

Alexander Seiler1,2, Sophie Schöngrundner1,3,2, Benjamin Stock1,3,2

  • 1Department of Neurology, Goethe University, Frankfurt am Main, Germany.

Aging
|August 28, 2020
PubMed
Summary

Quantitative MRI reveals significant age-related microstructural changes in the brain's cerebral cortex. T2' mapping shows the strongest correlation with aging, suggesting iron deposition as a key factor in healthy brain aging.

Keywords:
cortical agingiron depositionquantitative MRIsurface-based analysistissue microstructure

More Related Videos

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

28.4K
Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images
08:39

Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images

Published on: November 20, 2015

13.8K

Related Experiment Videos

Last Updated: Dec 10, 2025

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
06:48

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

9.3K
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

28.4K
Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images
08:39

Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images

Published on: November 20, 2015

13.8K

Area of Science:

  • Neuroimaging
  • Human Aging
  • Brain Microstructure

Background:

  • Physiological aging of the cerebral cortex involves microstructural changes.
  • Differentiating healthy aging from neurodegeneration is crucial.
  • Quantitative MRI (qMRI) offers insights into brain tissue properties.

Purpose of the Study:

  • Investigate age-related global and regional changes in cortical microstructure.
  • Utilize multiparametric qMRI in a wide age range of healthy subjects.
  • Identify potential imaging biomarkers for cortical aging.

Main Methods:

  • Recruited 40 healthy participants (2nd to 8th decade).
  • Acquired high-resolution qMRI (T1, PD, T2, T2*, T2') at 3 Tesla.
  • Performed cortical reconstruction and correlated qMRI parameters with age.

Main Results:

  • Cortical T1 values decreased with age (negatively correlated, p=0.007).
  • Cortical T2 values increased with age (positively correlated, p=0.004).
  • Cortical T2' showed the strongest age correlation (r=-0.724, p=0.0001), indicating widespread changes.

Conclusions:

  • Multiparametric qMRI effectively characterizes cortical aging patterns.
  • Quantitative T2' mapping is a promising biomarker for age-related cortical changes.
  • Global cortical iron deposition appears to be a significant aspect of healthy aging.