Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Brain Imaging

Brain Imaging

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 Stimulation (TMS).

You might also read

Related Articles

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

Sort by

Same author

Serum withdrawal establishes a stress-dominant entry state during myogenic differentiation.

Frontiers in cell and developmental biology·2026

Same author

MSCF-Net: unified multi-scale feature disentanglement for co-registered nucleus segmentation and virtual staining.

Frontiers in cell and developmental biology·2026

Same author

AI-Powered Monitoring of the Acute: Chronic Workload Ratio: Interpretable Injury Risk Prediction in Soccer Players.

Sports health·2026

Same author

A bird target detection model designed for substation scenarios.

Scientific reports·2025

Same author

Body image and loneliness as mediators of the relationship between physical activity and exercise self-efficacy in college students.

Scientific reports·2025

Same author

Smoking initiation as a mediator: investigating the causal relationship between sedentary lifestyles and cannabis use disorder through Mendelian randomization.

Journal of addictive diseases·2025

Search research articles

Related Experiment Video

Updated: Jul 16, 2026

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Published on: August 26, 2014

Systematic Evaluation of Competing Brain Transcriptomic Representations Reveals Reciprocal Patterns Across

Zongnan Lyu¹, Chunxue Shao¹, Qi Yu¹

¹Division of Computational Biology, Chinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.

International Journal of Molecular Sciences

|July 15, 2026

Summary

This study compares brain molecular organization models, finding that a low-dimensional reciprocal model better explains transcriptomic data across diverse contexts than a global-axis model, highlighting context and cohort dependence.

Keywords:

adversity-like contrasts brain transcriptomics cross-study integration direction classes hippocampus intervention-like contrasts reciprocal representation

More Related Videos

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

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

Published on: July 12, 2012

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

Related Experiment Videos

Last Updated: Jul 16, 2026

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Published on: August 26, 2014

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

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

Published on: July 12, 2012

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

Area of Science:

Neuroscience
Genomics
Bioinformatics

Background:

Brain states are often modeled as a molecular continuum.
This assumption lacks robust transcriptomic validation against alternative models.

Purpose of the Study:

Compare a global-axis model with a low-dimensional reciprocal model for brain transcriptomic organization.
Evaluate model performance across diverse contexts like exercise, alcohol, stress, aging, and neurodegeneration.

Main Methods:

Benchmarked models using signed-effect correlations, permutation analyses, and held-out reconstruction.
Utilized cross-study brain transcriptomic data with directional contrast labels.
Performed region-specific human bulk, cellular, single-nucleus, spatial, and chromatin analyses.

Main Results:

The global-axis model showed weak correlations and did not outperform permutation null expectations.
A rank-1 latent profile within the reciprocal model better reconstructed held-out genes than a module 1/module 2 (M1/M2) partition.
Human analyses revealed asymmetric patterns and poor cross-stratum reproducibility, emphasizing context and cohort dependence.

Conclusions:

A low-dimensional reciprocal representation offers a more effective exploratory framework for brain transcriptomic organization.
Findings underscore the critical importance of context dependence, cohort dependence, and biological heterogeneity.