ArticleScientific reports2014
Brain network informed subject community detection in early-onset schizophrenia.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Systematic Review of Functional MRI Applications for Psychiatric Disease Subtyping.Frontiers in psychiatry · 2021Pooled it
- Examination of Local Functional Homogeneity in Autism.BioMed research international · 2015Trial
- Salience network segregation and symptom profiles in psychosis risk subgroups among youth and early adults.Schizophrenia (Heidelberg, Germany) · 2025Article
- Precision behavioral phenotyping as a strategy for uncovering the biological correlates of psychopathology.Nature. Mental health · 2023Article
- Resting state functional connectivity subtypes predict discrete patterns of cognitive-affective functioning across levels of analysis among patients with treatment-resistant depression.Behaviour research and therapy · 2021Article
- Temporal-thalamic and cingulo-opercular connectivity in people with schizophrenia.NeuroImage. Clinical · 2021Article
- INCloud: integrated neuroimaging cloud for data collection, management, analysis and clinical translations.General psychiatry · 2021Article
- Individual-specific functional connectome biomarkers predict schizophrenia positive symptoms during adolescent brain maturation.Human brain mapping · 2020Article
- Article
- Neural Connectivity Subtypes Predict Discrete Attentional Bias Profiles Among Heterogeneous Anxiety Patients.Clinical psychological science : a journal of the Association for Psychological Science · 2020Article
- DisConICA: a Software Package for Assessing Reproducibility of Brain Networks and their Discriminability across Disorders.Neuroinformatics · 2020Article
- NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders.NeuroImage. Clinical · 2020Article
- Dynamic Alterations of Amplitude of Low-Frequency Fluctuations in Patients With Drug-Naïve First-Episode Early Onset Schizophrenia.Frontiers in neuroscience · 2020Article
- Functional and Optogenetic Approaches to Discovering Stable Subtype-Specific Circuit Mechanisms in Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2019Article
- Dysregulated Maturation of the Functional Connectome in Antipsychotic-Naïve, First-Episode Patients With Adolescent-Onset Schizophrenia.Schizophrenia bulletin · 2019Article
- Focusing on the Differences of Resting-State Brain Networks, Using a Data-Driven Approach to Explore the Functional Neuroimaging Characteristics of Extraversion Trait.Frontiers in neuroscience · 2018Article
- Connecting Openness and the Resting-State Brain Network: A Discover-Validate Approach.Frontiers in neuroscience · 2018Article
- Structural and functional brain abnormalities in drug-naive, first-episode, and chronic patients with schizophrenia: a multimodal MRI study.Neuropsychiatric disease and treatment · 2018Article
- Data-Driven Subgroups in Depression Derived from Directed Functional Connectivity Paths at Rest.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017Article
- Data-Driven Phenotypic Categorization for Neurobiological Analyses: Beyond DSM-5 Labels.Biological psychiatry · 2017Article
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 3 countries.
Funding
Abstract
Early-onset schizophrenia (EOS) offers a unique opportunity to study pathophysiological mechanisms and development of schizophrenia. Using 26 drug-naïve, first-episode EOS patients and 25 age- and gender-matched control subjects, we examined intrinsic connectivity network (ICN) deficits underlying EOS. Due to the emerging inconsistency between behavior-based psychiatric disease classification system and the underlying brain dysfunctions, we applied a fully data-driven approach to investigate whether the subjects can be grouped into highly homogeneous communities according to the characteristics of their ICNs. The resultant subject communities and the representative characteristics of ICNs were then associated with the clinical diagnosis and multivariate symptom patterns. A default mode ICN was statistically absent in EOS patients. Another frontotemporal ICN further distinguished EOS patients with predominantly negative symptoms. Connectivity patterns of this second network for the EOS patients with predominantly positive symptom were highly similar to typically developing controls. Our post-hoc functional connectivity modeling confirmed that connectivity strength in this frontotemporal circuit was significantly modulated by relative severity of positive and negative syndromes in EOS. This study presents a novel subtype discovery approach based on brain networks and proposes complex links between brain networks and symptom patterns in EOS.
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Registered trials
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