ArticleCerebral cortex (New York, N.Y. : 1991)2020
Sex Classification by Resting State Brain Connectivity.
Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.
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103 citing papers in PubMed.
- Effects of exogenous oxytocin and estradiol on resting-state functional connectivity in women and men.Scientific reports · 2023Trial
- Concurrent Supervised-Unsupervised Representative Subspace Clustering (CSU-RSC).bioRxiv : the preprint server for biology · 2026Article
- Sex differences in neural stress responses over psychosocial stress exposure.Brain structure & function · 2026Article
- Efficacy of Personalized Connectivity-Guided Accelerated Brain Stimulation in a Naturalistic Treatment-Resistant Depression Population.medRxiv : the preprint server for health sciences · 2026Article
- Machine learning-based identification of abnormal functional connectivity in obesity across different metabolic states.Communications medicine · 2026Article
- Altered functional connectivity is associated with Repeatable Battery for the Assessment of Neuropsychological Status across the dementia spectrum.Journal of the International Neuropsychological Society : JINS · 2026Article
- The progression of sex differences in brain networks across the lifespan.bioRxiv : the preprint server for biology · 2026Article
- Multimodal machine learning reveals neurobiological signatures of binge-type eating disorders.Frontiers in neuroscience · 2026Article
- Sex Classification Based on the Functional Connectivity Patterns of the Language Network: A Resting State fMRI Study.Human brain mapping · 2026Article
- Study of sex differences in the whole brain white matter using diffusion MRI tractography and suprathreshold fiber cluster statistics.NeuroImage. Clinical · 2026Article
- Uncovering functional connectivity patterns predictive of cognition in youth using interpretable predictive modeling.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Deletion of the X-chromosomal geneScience translational medicine · 2025Article
- Study of Sex Differences in the Whole Brain White Matter Using Diffusion MRI Tractography and Suprathreshold Fiber Cluster Statistics.bioRxiv : the preprint server for biology · 2025Article
- Evidence for an Evolutionary Continuity in Social Dominance: Insights from Nonhuman Primate Tractography.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach.Human brain mapping · 2025Article
- DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks.Medical image analysis · 2025Article
- The insula represents a key neurobiological pain hub in psoriatic arthritis.Arthritis research & therapy · 2025Article
- Neural Correlates of Irritability and Potential Moderating Effects of Inhibitory Control.Biological psychiatry global open science · 2025Article
- Analysis of functional connectivity changes from childhood to old age: A study using HCP-D, HCP-YA, and HCP-A datasets.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Stimulus Selection Influences Prediction of Individual Phenotypes in Naturalistic Conditions.Human brain mapping · 2025Article
43 more citing papers are in PubMed but not listed here.
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6 authors.
Funding
Abstract
A large amount of brain imaging research has focused on group studies delineating differences between males and females with respect to both cognitive performance as well as structural and functional brain organization. To supplement existing findings, the present study employed a machine learning approach to assess how accurately participants' sex can be classified based on spatially specific resting state (RS) brain connectivity, using 2 samples from the Human Connectome Project (n1 = 434, n2 = 310) and 1 fully independent sample from the 1000BRAINS study (n = 941). The classifier, which was trained on 1 sample and tested on the other 2, was able to reliably classify sex, both within sample and across independent samples, differing both with respect to imaging parameters and sample characteristics. Brain regions displaying highest sex classification accuracies were mainly located along the cingulate cortex, medial and lateral frontal cortex, temporoparietal regions, insula, and precuneus. These areas were stable across samples and match well with previously described sex differences in functional brain organization. While our data show a clear link between sex and regionally specific brain connectivity, they do not support a clear-cut dimorphism in functional brain organization that is driven by sex alone.
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