ArticleFrontiers in psychiatry2017
Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia.
Article in Frontiers in psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Structural covariance networks in schizophrenia: A systematic review Part I.Schizophrenia research · 2022Pooled it
- Towards a brain-based predictome of mental illness.Human brain mapping · 2020Pooled it
- Neuroimaging-Based Subgroups in Schizophrenia: A Critical Appraisal of Clustering Studies.Biological psychiatry global open science · 2026Review
- Alterations in Gray Matter Structure Linked to Frequency-Specific Cortico-Subcortical Connectivity in Schizophrenia via Multimodal Data Fusion.Neuroinformatics · 2025Article
- Neurodevelopmental subtypes of functional brain organization in the ABCD study using a rigorous analytic framework.NeuroImage · 2024Article
- Biclustering data analysis: a comprehensive survey.Briefings in bioinformatics · 2024Review
- Neurodevelopmental Subtypes of Functional Brain Organization in the ABCD Study Using a Rigorous Analytic Framework.bioRxiv : the preprint server for biology · 2024Article
- Application of hyperalignment to resting state data in individuals with psychosis reveals systematic changes in functional networks and identifies distinct clinical subgroups.Aperture neuro · 2024Article
- Dissociation between neuroanatomical and symptomatic subtypes in schizophrenia.European psychiatry : the journal of the Association of European Psychiatrists · 2023Article
- Dual ICA to extract interacting sets of genes and conditions from transcriptomic data.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2023Article
- Independent component analysis for internet gaming disorder.Dialogues in clinical neuroscience · 2023Review
- Biclustering fMRI time series: a comparative study.BMC bioinformatics · 2022Article
- Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis.Schizophrenia (Heidelberg, Germany) · 2022Article
- Distinct neuroanatomic subtypes in antipsychotic-treated patients with schizophrenia classified by the predefined classification in a never-treated sample.Psychoradiology · 2021Article
- Uncovering the complex genetics of human character.Molecular psychiatry · 2020Article
- Approaches to Defining Common and Dissociable Neurobiological Deficits Associated With Psychopathology in Youth.Biological psychiatry · 2020Review
- N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia.IEEE transactions on bio-medical engineering · 2020Article
- Symptom-based patient stratification in mental illness using clinical notes.Journal of biomedical informatics · 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
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Authors and funding
18 authors at 11 institutions in 5 countries.
Funding
Abstract
Clinical and cognitive symptoms domain-based subtyping in schizophrenia (Sz) has been critiqued due to the lack of neurobiological correlates and heterogeneity in symptom scores. We, therefore, present a novel data-driven framework using biclustered independent component analysis to detect subtypes from the reliable and stable gray matter concentration (GMC) of patients with Sz. The developed methodology consists of the following steps: source-based morphometry (SBM) decomposition, selection and sorting of two component loadings, subtype component reconstruction using group information-guided ICA (GIG-ICA). This framework was applied to the top two group discriminative components namely the insula/superior temporal gyrus/inferior frontal gyrus (I-STG-IFG component) and the superior frontal gyrus/middle frontal gyrus/medial frontal gyrus (SFG-MiFG-MFG component) from our previous SBM study, which showed diagnostic group difference and had the highest effect sizes. The aggregated multisite dataset consisted of 382 patients with Sz regressed of age, gender, and site voxelwise. We observed two subtypes (i.e., two different subsets of subjects) each heavily weighted on these two components, respectively. These subsets of subjects were characterized by significant differences in positive and negative syndrome scale (PANSS) positive clinical symptoms (
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