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

Brain Imaging01:14

Brain Imaging

629
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...
629
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
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

212
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,...
212

You might also read

Related Articles

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

Sort by
Same author

Brain-targeted epigenetic effects of two emerging psychoplastogens: ketamine & MDMA.

Translational psychiatry·2026
Same author

Associations of local white matter geometry with network efficiency, macrostructural abnormalities, and clinical severity in behavioural variant frontotemporal dementia.

Brain communications·2026
Same author

miniMORPH: A Morphometry Pipeline for Low-Field MRI in Infants.

Human brain mapping·2026
Same author

Assessing cognition in autistic youth with and without attention-deficit/hyperactivity disorder using the NIH Toolbox Cognition Battery: An Environmental influences on Child Health Outcomes-Wide Cohort Study.

JCPP advances·2026
Same author

Correction to: Ultra-low-field brain MRI morphometry: Test-retest reliability and correspondence to high-field MRI.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Putative glymphatic dysfunction links extracellular fluid dysregulation to white matter degeneration and clinical impairment in amyotrophic lateral sclerosis.

BMC medicine·2026

Related Experiment Video

Updated: Jan 7, 2026

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse
15:26

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

Published on: May 19, 2015

14.7K

The Peripheral Epigenome Predicts White Matter Volume Contingent on Developmental Stage: An ECHO Study.

Taena Hanson1, Sophie Spencer1, Samantha A Harker1

  • 1School of Life Sciences and Psychology, Arizona State University, Tempe, AZ, 85287, USA.

Molecular Neurobiology
|December 28, 2025
PubMed
Summary

Peripheral DNA methylation (DNAm) in saliva tracks white matter volume (WMV) in children, offering potential for early disorder detection. These epigenetic markers are crucial for understanding neurodevelopmental trajectories.

Keywords:
DNA methylationDevelopmentEpigeneticsNeuroimagingWhite matter

More Related Videos

Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain
13:11

Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain

Published on: July 12, 2012

19.3K
Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

3.7K

Related Experiment Videos

Last Updated: Jan 7, 2026

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse
15:26

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

Published on: May 19, 2015

14.7K
Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain
13:11

Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain

Published on: July 12, 2012

19.3K
Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies
04:25

Author Spotlight: Bridging Gaps in Anatomy and Establishing a Foundation for Algorithmic Studies

Published on: December 15, 2023

3.7K

Area of Science:

  • Neuroscience
  • Epigenetics
  • Developmental Biology

Background:

  • White matter (WM) development is vital for neural connectivity, and its disruptions are linked to neurodevelopmental disorders.
  • Epigenetic mechanisms, specifically DNA methylation (DNAm), are increasingly recognized for their role in regulating WM structure.
  • Limited research exists on DNAm and WM development in pediatric populations.

Purpose of the Study:

  • To investigate the association between peripheral DNAm of WM-related genes and WM volume (WMV) in children.
  • To explore age-dependent relationships between DNAm and WMV.
  • To assess the correlation between salivary DNAm and brain tissue DNAm.

Main Methods:

  • Utilized data from the Environmental Influences on Child Health Outcomes (ECHO) study.
  • Obtained salivary DNAm profiles from 205 children (2 months–15.5 years) using the Infinium MethylationEPIC array.
  • Quantified WMV using T1-weighted MRI and performed targeted-epigenome analysis.

Main Results:

  • Identified 1867 CpG sites across 352 genes significantly predicting WMV (FDR q < 0.05).
  • Found 11,611 CpG sites with age-dependent associations, most pronounced in early childhood.
  • Demonstrated a strong correlation between salivary DNAm and brain tissue DNAm (r = 0.915).

Conclusions:

  • Peripheral DNAm markers in saliva can serve as biomarkers for neurodevelopmental trajectories.
  • Saliva-based DNAm is a valuable tool for pediatric neuroimaging research.
  • Developmental timing is critical for understanding DNAm-WMV associations, with implications for early detection of WM disorders.