ArticleFrontiers in neuroscience2021
Whole-Brain Functional Network Connectivity Abnormalities in Affective and Non-Affective Early Phase Psychosis.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces.Research square · 2026Article
- Functional network comparative area and topography analysis (FUNCATA) in non-affective psychosis: a replication study.Schizophrenia (Heidelberg, Germany) · 2026Article
- Prenatal Cannabis Exposure Shaping Altered Brain Connectivity: Neural Correlates of Cognitive and Mental Health Variability in Offspring.Research square · 2026Article
- Maximum entropy model reveals frequent brain state switching in a multiversal brain function analysis in early psychoses.bioRxiv : the preprint server for biology · 2026Article
- NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders.Proceedings of machine learning research · 2025Article
- Connectome-based predictive modeling of early and chronic psychosis symptoms.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Functional dysconnectivity of visual and somatomotor networks yields a simple and robust biomarker for psychosis.Molecular psychiatry · 2025Article
- Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework.bioRxiv : the preprint server for biology · 2025Article
- Time-Varying Spatial Propagation of Brain Networks in fMRI Data.Human brain mapping · 2025Article
- The role of prefrontal-hippocampal functional connectivity in schizophrenia-related cognitive dysfunction and the thalamic ventral midline involvement:Frontiers in neuroscience · 2025Review
- Addressing Inconsistency in Functional Neuroimaging: A Replicable Data-Driven Multi-Scale Functional Atlas for Canonical Brain Networks.bioRxiv : the preprint server for biology · 2024Article
- Functional dysconnectivity of visual and somatomotor networks yields a simple and robust biomarker for psychosis.medRxiv : the preprint server for health sciences · 2024Article
- Data-driven, connectome-wide analysis identifies psychosis-specific brain correlates of fear and anxiety.Molecular psychiatry · 2024Article
- Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.NeuroImage · 2024Article
- A whole-brain neuromark resting-state fMRI analysis of first-episode and early psychosis: Evidence of aberrant cortical-subcortical-cerebellar functional circuitry.NeuroImage. Clinical · 2024Article
- Multi-study evaluation of neuroimaging-based prediction of medication class in mood disorders.Psychiatry research. Neuroimaging · 2023Article
- Dysconnectivity in Schizophrenia Revisited: Abnormal Temporal Organization of Dynamic Functional Connectivity in Patients With a First Episode of Psychosis.Schizophrenia bulletin · 2023Article
- Cerebro-cerebellar functional neuroplasticity mediates the effect of electric field on electroconvulsive therapy outcomes.Translational psychiatry · 2023Article
- Article
- Predictive signature of static and dynamic functional connectivity for ECT clinical outcomes.Frontiers in pharmacology · 2023Article
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4 authors.
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Abstract
Psychosis disorders share overlapping symptoms and are characterized by a wide-spread breakdown in functional brain integration. Although neuroimaging studies have identified numerous connectivity abnormalities in affective and non-affective psychoses, whether they have specific or unique connectivity abnormalities, especially within the early stage is still poorly understood. The early phase of psychosis is a critical period with fewer chronic confounds and when treatment intervention may be most effective. In this work, we examined whole-brain functional network connectivity (FNC) from both static and dynamic perspectives in patients with affective psychosis (PAP) or with non-affective psychosis (PnAP) and healthy controls (HCs). A fully automated independent component analysis (ICA) pipeline called "Neuromark" was applied to high-quality functional magnetic resonance imaging (fMRI) data with 113 early-phase psychosis patients (32 PAP and 81 PnAP) and 52 HCs. Relative to the HCs, both psychosis groups showed common abnormalities in static FNC (sFNC) between the thalamus and sensorimotor domain, and between subcortical regions and the cerebellum. PAP had specifically decreased sFNC between the superior temporal gyrus and the paracentral lobule, and between the cerebellum and the middle temporal gyrus/inferior parietal lobule. On the other hand, PnAP showed increased sFNC between the fusiform gyrus and the superior medial frontal gyrus. Dynamic FNC (dFNC) was investigated using a combination of a sliding window approach, clustering analysis, and graph analysis. Three reoccurring brain states were identified, among which both psychosis groups had fewer occurrences in one antagonism state (state 2) and showed decreased network efficiency within an intermediate state (state 1). Compared with HCs and PnAP, PAP also showed a significantly increased number of state transitions, indicating more unstable brain connections in affective psychosis. We further found that the identified connectivity features were associated with the overall positive and negative syndrome scale, an assessment instrument for general psychopathology and positive symptoms. Our findings support the view that subcortical-cortical information processing is disrupted within five years of the initial onset of psychosis and provide new evidence that abnormalities in both static and dynamic connectivity consist of shared and unique features for the early affective and non-affective psychoses.
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