ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2025
Unraveling the Neural Landscape of Mental Disorders Using Double Functional Independent Primitives.
Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Activity Patterns in Relation to Dynamic Functional Network States: A Longitudinal Feasibility Study of Brain-Behavior Associations in Young Adults.Brain sciences · 2026Article
- A novel framework to quantify dynamic convergence and divergence of overlapping brain states characterizing four psychiatric disorders.Network neuroscience (Cambridge, Mass.) · 2026Article
- State-Guided ICA of Functional Network Connectivity Reveals Temporal Signatures of Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2025Article
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Abstract
backgroundMental illnesses extract personal and societal costs, leading to significant challenges in cognitive function, emotional regulation, and social behavior. These disorders are thought to result from disruptions in how different brain regions communicate with each other. Despite advances in neuroimaging, current methods are not always precise enough to permit a full understanding of the complexity of these disruptions. More advanced approaches are needed to better identify and characterize the specific brain network alterations linked to different psychiatric conditions.
methodsWe used a hierarchical approach to derive double functional independent primitives (dFIPs) from resting-state functional magnetic resonance imaging data. dFIPs represent independent patterns of functional network connectivity across the brain. Our study utilized a large multisite dataset comprising 5805 individuals diagnosed with schizophrenia (SCZ), autism spectrum disorder (ASD), bipolar disorder, and major depressive disorder and healthy control individuals. We analyzed how combinations of dFIPs differentiated psychiatric diagnoses.
resultsDistinct dFIP patterns emerged for each disorder. SCZ was characterized by heightened cerebellar connectivity and reduced cerebellar-subcortical connectivity. In ASD, sensory domain hyperconnectivity was prominent. Some dFIPs displayed disorder-specific connectivity patterns, while others exhibited commonalities across multiple conditions. These findings underscore the utility of dFIPs in revealing neural connectivity alterations unique to each disorder, serving as unique fingerprints for different mental disorders.
conclusionsOur study demonstrates that dFIPs provide a novel, data-driven method for identifying disorder-specific functional connectivity patterns in psychiatric conditions. These distinct neural signatures offer potential biomarkers for mental illnesses, contributing to a deeper understanding of the neurobiological underpinnings of these disorders.
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