ArticleNature biomedical engineering2021
Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography.
Article in Nature biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 2 of them syntheses that pooled it.
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Who cites it
91 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Biomarker use in predicting transcranial direct-current stimulation (tDCS) response: a systematic scoping review.Frontiers in psychiatry · 2026Pooled it
- PTSD subtypes and their underlying neural biomarkers: a systematic review.Psychological medicine · 2025Pooled it
- Aerobic Exercise and Subthreshold Depressive Symptoms in Adolescents: Secondary Analysis of a Randomized Clinical Trial.JAMA network open · 2026Trial
- Individualized fMRI connectivity defines signatures of antidepressant and placebo responses in major depression.Molecular psychiatry · 2023Trial
- Macroscopic resting state model predicts theta burst stimulation response: A randomized trial.PLoS computational biology · 2023Trial
- Technical system of electroencephalography-based brain-computer interface: Advances, applications, and challenges.Neural regeneration research · 2026Article
- Repeated Continuous Theta-Burst Stimulation Modulates Resting-State EEG Microstate Dynamics in Athletes with Chronic Insomnia.Brain sciences · 2026Article
- Brain rhythms of depression: A predictive processing perspective.Trends in neurosciences · 2026Review
- Individualized prediction of heroin cue-induced craving using task-based EEG functional connectivity.NPJ digital medicine · 2026Article
- Rethinking EEG biomarkers of brain disorders: a transdiagnostic dimensional view.Translational psychiatry · 2026Review
- An exploratory data-driven stratification of depression based on functional network connectivity and symptom profiles suggests heterogeneous responses to iTBS.BMC psychiatry · 2026Article
- Article
- Alpha-band fronto-limbic hyperconnectivity in adolescents with major depression and suicidal ideation.BMC psychiatry · 2026Article
- Towards a general-purpose foundation model for functional MRI analysis.Nature biomedical engineering · 2026Article
- A cautionary tale for AI and machine learning in psychiatry.Translational psychiatry · 2026Review
- Review
- Bayesian subtyping for multi-state brain functional connectome with application on preadolescent brain cognition.Biostatistics (Oxford, England) · 2025Article
- Mapping neurophysiological and molecular profiles of heterogeneity and homogeneity in schizophrenia-bipolar disorder.Science advances · 2025Article
- Deep Learning of Brain-Behavior Dimensions Identifies Transdiagnostic Biotypes in Youth with ADHD and Anxiety Disorders.bioRxiv : the preprint server for biology · 2025Article
- Exploring electroencephalographic chronic pain biomarkers: a mega-analysis.EBioMedicine · 2025Article
31 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
The understanding and treatment of psychiatric disorders, which are known to be neurobiologically and clinically heterogeneous, could benefit from the data-driven identification of disease subtypes. Here, we report the identification of two clinically relevant subtypes of post-traumatic stress disorder (PTSD) and major depressive disorder (MDD) on the basis of robust and distinct functional connectivity patterns, prominently within the frontoparietal control network and the default mode network. We identified the disease subtypes by analysing, via unsupervised and supervised machine learning, the power-envelope-based connectivity of signals reconstructed from high-density resting-state electroencephalography in four datasets of patients with PTSD and MDD, and show that the subtypes are transferable across independent datasets recorded under different conditions. The subtype whose functional connectivity differed most from those of healthy controls was less responsive to psychotherapy treatment for PTSD and failed to respond to an antidepressant medication for MDD. By contrast, both subtypes responded equally well to two different forms of repetitive transcranial magnetic stimulation therapy for MDD. Our data-driven approach may constitute a generalizable solution for connectome-based diagnosis.
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