ArticleSchizophrenia bulletin2023
Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets.
Article in Schizophrenia bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed.
- Network-level structural alterations distinguish persistent from remitted post-traumatic stress disorder: a morphometric covariance approach.European journal of psychotraumatology · 2026Article
- Mapping topological abnormalities in cortical similarity networks to schizophrenia-associated gene expression.Dialogues in clinical neuroscience · 2026Article
- Inter-network Effective Connectivity During an Emotional Working Memory Task in Two Independent Samples of Young Adults.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Synergistic and redundant information dynamics exhibit dissociable alterations across schizophrenia and neurodevelopmental conditions.Brain informatics · 2026Article
- Targeting Network Imbalance in Schizophrenia: The Application of Temporal Interference Stimulation.Alpha psychiatry · 2026Article
- Unraveling spatiotemporal dynamics in transdiagnosis subtypes of major depressive disorder and bipolar disorder: insights from co-activation patterns and treatment response.Molecular psychiatry · 2026Article
- Understanding Schizophrenia Pathophysiology via fMRI-Based Information Theory and Multiplex Network Analysis.Entropy (Basel, Switzerland) · 2026Article
- A novel framework to quantify dynamic convergence and divergence of overlapping brain states characterizing four psychiatric disorders.Network neuroscience (Cambridge, Mass.) · 2026Article
- Modulatory Effects of Methadone on Brain Network Instability in Methamphetamine Use; A Cross-sectional Study.Archives of academic emergency medicine · 2026Article
- Mapping neurophysiological and molecular profiles of heterogeneity and homogeneity in schizophrenia-bipolar disorder.Science advances · 2025Article
- Neuromodulation and neural networks in psychiatric disorders: current status and emerging prospects.Psychological medicine · 2025Review
- Multiple Psychiatric Traits Enriched for Brain Tissues in the Early Postpartum Period.medRxiv : the preprint server for health sciences · 2025Article
- Exploring the capabilities of repetitive transcranial magnetic stimulation in major depressive disorder: Dynamic causal modeling of the neural network.Translational psychiatry · 2025Article
- Elucidating Development Trajectories of Brain Functional Abnormalities in Major Depressive Disorder Utilizing a Data-Driven Disease Progression Model.Human brain mapping · 2025Article
- Neuroimaging Changes in the Sensorimotor Network and Visual Network in Bipolar Disorder and Their Relationship with Genetic Characteristics.Biomedicines · 2025Article
- Article
- Characterizing Psychiatric Disorders Through Graph Neural Networks: A Functional Connectivity Analysis of Depression and Schizophrenia.Depression and anxiety · 2025Article
- Disconnection syndromes and injury to neural systems after ischemic stroke.Frontiers in stroke · 2025Article
- Human Brain Magnetic Resonance Imaging Studies for Psychiatric Disorders: The Current Progress and Future Directions.JMA journal · 2024Review
- Alterations in subcortical magnetic susceptibility and disease-specific relationship with brain volume in major depressive disorder and schizophrenia.Translational psychiatry · 2024Article
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Authors and funding
27 authors.
Funding
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Abstract
background and hypothesisDynamics of the distributed sets of functionally synchronized brain regions, known as large-scale networks, are essential for the emotional state and cognitive processes. However, few studies were performed to elucidate the aberrant dynamics across the large-scale networks across multiple psychiatric disorders. In this paper, we aimed to investigate dynamic aspects of the aberrancy of the causal connections among the large-scale networks of the multiple psychiatric disorders. STUDY
designWe applied dynamic causal modeling (DCM) to the large-sample multi-site dataset with 739 participants from 4 imaging sites including 4 different groups, healthy controls, schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD), to compare the causal relationships among the large-scale networks, including visual network, somatomotor network (SMN), dorsal attention network (DAN), salience network (SAN), limbic network (LIN), frontoparietal network, and default mode network. STUDY
resultsDCM showed that the decreased self-inhibitory connection of LIN was the common aberrant connection pattern across psychiatry disorders. Furthermore, increased causal connections from LIN to multiple networks, aberrant self-inhibitory connections of DAN and SMN, and increased self-inhibitory connection of SAN were disorder-specific patterns for SCZ, MDD, and BD, respectively.
conclusionsDCM revealed that LIN was the core abnormal network common to psychiatric disorders. Furthermore, DCM showed disorder-specific abnormal patterns of causal connections across the 7 networks. Our findings suggested that aberrant dynamics among the large-scale networks could be a key biomarker for these transdiagnostic psychiatric disorders.
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