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Related Experiment Video

Updated: Jan 22, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
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Sex Classification by Resting State Brain Connectivity.

Susanne Weis1,2, Kaustubh R Patil1,2, Felix Hoffstaedter1,2

  • 1Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.

Cerebral Cortex (New York, N.Y. : 1991)
|June 29, 2019
PubMed
Summary
This summary is machine-generated.

Machine learning accurately classified biological sex using resting state brain connectivity. While sex is linked to specific brain connectivity patterns, it does not solely drive functional brain organization.

Keywords:
classificationfunctional magnetic resonance imagingmachine learningresting state brain connectivitysex differences

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Machine Learning

Background:

  • Extensive brain imaging research investigates male-female cognitive and brain organization differences.
  • Previous studies often use group comparisons to find sex-based brain variations.

Purpose of the Study:

  • To apply machine learning to resting state (RS) brain connectivity for sex classification.
  • To determine if sex can be accurately predicted from brain connectivity patterns across independent datasets.

Main Methods:

  • Utilized machine learning classifiers trained on Human Connectome Project data (n=744).
  • Validated classifier performance on independent Human Connectome Project (n=434) and 1000BRAINS (n=941) samples.
  • Analyzed spatially specific resting state brain connectivity for sex-predictive features.

Main Results:

  • Sex classification accuracy was reliable both within and across independent samples.
  • Highest classification accuracies were observed in the cingulate cortex, frontal cortex, temporoparietal regions, insula, and precuneus.
  • Identified brain regions with sex-specific connectivity patterns that were consistent across diverse datasets.

Conclusions:

  • Resting state brain connectivity contains reliable information for classifying biological sex.
  • Sex is demonstrably linked to regionally specific functional brain organization.
  • Findings do not support a strict sex-based dimorphism in functional brain organization, suggesting other factors are involved.