ArticleNature. Mental health2024
Symptom dimensions of resting-state electroencephalographic functional connectivity in autism.
Article in Nature. Mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Distinct features of EEG microstates in autism spectrum disorder revealed by meta-analysis: the contribution of individual age to heterogeneity across studies.Frontiers in psychiatry · 2025Pooled it
- Elucidating the neuropathological and molecular heterogeneity of amyloid beta and tau in Alzheimer's disease through machine learning and transcriptomic integration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Individualized prediction of heroin cue-induced craving using task-based EEG functional connectivity.NPJ digital medicine · 2026Article
- Aberrant multivariate mapping between behavioral profiles and cortical morphological brain networks in children with autism spectrum disorder.Translational psychiatry · 2026Article
- Distinct Biotypes of Visual Perception in Major Depressive Disorder.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Whole-brain mapping of TMS-induced discomfort with large-scale concurrent TMS-fMRI.bioRxiv : the preprint server for biology · 2026Article
- Pregistered movie-fMRI analyses reveal altered visual feature encoding in autism in pSTS.bioRxiv : the preprint server for biology · 2026Article
- Generalizable structure-function covariation predictive of antidepressant response revealed by target-oriented multimodal fusion.Nature. Mental health · 2026Article
- Thioredoxin system: mechanisms and therapeutic potential in mental disorders.Frontiers in pharmacology · 2026Review
- Deep Learning of Brain-Behavior Dimensions Identifies Transdiagnostic Biotypes in Youth with ADHD and Anxiety Disorders.bioRxiv : the preprint server for biology · 2025Article
- Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.Nature biomedical engineering · 2025Review
- γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders.Military Medical Research · 2025Review
- Contrastive functional connectivity defines neurophysiology-informed symptom dimensions in major depression.Cell reports. Medicine · 2025Article
- Automatic diagnosis of autism spectrum disorders in children through resting-state functional magnetic resonance imaging with machine vision.Quantitative imaging in medicine and surgery · 2025Article
- Large-scale foundation models and generative AI for BigData neuroscience.Neuroscience research · 2025Review
- Abnormal Functional Connectivity of the Primary Sensory Network in Autism Spectrum Disorder: Sex Differences, Early Overdevelopment, and Clinical Significance.Brain and behavior · 2025Article
- Optimizing Antidepressant Efficacy: Generalizable Multimodal Neuroimaging Biomarkers for Prediction of Treatment Response.medRxiv : the preprint server for health sciences · 2024Article
- The Role of Thioredoxin System in Shank3 Mouse Model of Autism.Journal of molecular neuroscience : MN · 2024Article
- Spatial-Temporal Characteristics of Brain Activity in Autism Spectrum Disorder Based on Hidden Markov Model and Dynamic Graph Theory: A Resting-State fMRI Study.Brain sciences · 2024Article
- Electroencephalogram-Based ConvMixer Architecture for Recognizing Attention Deficit Hyperactivity Disorder in Children.Brain sciences · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
Autism spectrum disorder (ASD) is a common neurodevelopmental disorder characterized by social and communication deficits (SCDs), restricted and repetitive behaviors (RRBs) and fixated interests. Despite its prevalence, development of effective therapy for ASD is hindered by its symptomatic and neurophysiological heterogeneities. To comprehensively explore these heterogeneities, we developed a new analytical framework combining contrastive learning and sparse canonical correlation analysis that identifies symptom-linked resting-state electroencephalographic connectivity dimensions within 392 ASD samples. We present two dimensions with multivariate connectivity basis exhibiting significant correlations with SCD and RRB, confirm their robustness through cross-validation and demonstrate their conceptual generalizability using an independent dataset (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.