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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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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...
264

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Related Experiment Video

Updated: Jul 26, 2025

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience
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Noncoding transcripts are linked to brain resting-state activity in non-human primates.

Wei Wang1, Tingting Bo2, Ge Zhang3

  • 1CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.

Cell Reports
|June 19, 2023
PubMed
Summary
This summary is machine-generated.

Noncoding genes correlate with resting-state brain activity in macaques, similar to protein-coding genes. These noncoding genes link to brain cell function and neurological disorders like autism and schizophrenia.

Keywords:
CP: Neuroscienceautismnon-human primatenoncoding RNAoligodendrocyteresting-state activity

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Area of Science:

  • Neuroscience
  • Genomics
  • Molecular Biology

Background:

  • Brain-derived transcriptomes correlate with human resting-state brain activity.
  • The association between transcriptomes and resting-state activity in nonhuman primates is not well understood.

Purpose of the Study:

  • To investigate molecular correlates of resting-state brain activity in macaque cortical regions.
  • To determine if noncoding genes contribute to variations in resting-state activity.

Main Methods:

  • Integration of 757 macaque transcriptomes from 100 cortical regions with resting-state activity data.
  • Analysis of noncoding gene expression and co-expression networks.
  • Comparison with human resting-state functional genes and disease-associated genes.

Main Results:

  • 150 noncoding genes explained resting-state activity variations comparably to protein-coding genes.
  • Noncoding genes are linked to oligodendrocyte function and modules associated with autism and schizophrenia risk genes.
  • Genes linked to noncoding resting-state genes are enriched in human resting-state functional and memory-effect genes.
  • Altered links between noncoding genes and resting-state functional magnetic resonance imaging (fMRI) signals were observed in autistic brains.

Conclusions:

  • Noncoding genes, particularly noncoding RNAs, play a significant role in explaining resting-state brain activity in nonhuman primates.
  • These findings suggest potential noncoding RNA involvement in neurological disorders and cognitive functions.