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Related Concept Videos

Brain Imaging01:14

Brain Imaging

308
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...
308

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Related Experiment Video

Updated: Sep 8, 2025

Optimized Analysis of DNA Methylation and Gene Expression from Small, Anatomically-defined Areas of the Brain
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Consortium profile: the methylation, imaging and NeuroDevelopment (MIND) consortium.

Isabel K Schuurmans1, Rosa H Mulder1, Vilte Baltramonaityte2

  • 1Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands.

Molecular Psychiatry
|September 6, 2025
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Summary
This summary is machine-generated.

The Methylation, Imaging and NeuroDevelopment (MIND) Consortium studies how DNA methylation relates to brain development. This large, collaborative effort uses longitudinal data to understand epigenetic influences on neurodevelopmental and psychiatric phenotypes.

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Area of Science:

  • Neuroscience
  • Genetics
  • Developmental Biology

Background:

  • Epigenetic processes like DNA methylation are key to gene-environment interactions affecting brain phenotypes.
  • Understanding peripheral epigenetic patterns' relation to individual brain differences is limited, especially in developmental contexts.
  • Existing research primarily uses cross-sectional adult data, lacking a developmental perspective.

Purpose of the Study:

  • Establish the Methylation, Imaging and NeuroDevelopment (MIND) Consortium to focus on developmental Neuroimaging Epigenetics.
  • Promote collaborative, powered developmental research through multi-cohort analyses.
  • Advance understanding of DNA methylation-brain dynamics across development using longitudinal pediatric data.

Main Methods:

  • Integrate 16 international cohorts with longitudinal DNA methylation and neuroimaging data.
  • Collect repeated measures of DNA methylation (blood, buccal, saliva) and MRI across development (birth to adulthood).
  • Employ shared pipelines and open science practices for scientific rigor.

Main Results:

  • MIND integrates data from N=12,877 (DNAm), N=10,899 (neuroimaging), and N=6074 (combined) participants.
  • Data spans up to five time points over 21 years, capturing developmental trajectories.
  • Triangulates associations across multiple time points and study types to reveal dynamic relationships.

Conclusions:

  • MIND provides a unique, large-scale developmental dataset for Neuroimaging Epigenetics.
  • The consortium aims to generate novel insights into peripheral DNA methylation and brain relationships.
  • Findings will elucidate epigenetic contributions to neurodevelopmental and psychiatric phenotypes.