Disruptions of Hierarchical Cortical Organisation in Early Psychosis and Schizophrenia
Holmes, A.; Thalenberg Levi, P.; Chen, Y.-C.; Chopra, S.; Aquino, K. M.; Pang, J. C.; Fornito, A.
Show abstract
BackgroundThe cerebral cortex is organised hierarchically along an axis that spans unimodal sensorimotor to transmodal association areas. This hierarchy is often characterised using low-dimensional embeddings, termed gradients, of inter-regional functional coupling estimates measured with resting-state functional magnetic resonance imaging (fMRI). Such analyses may offer insights into the pathophysiology of schizophrenia, which is frequently linked to dysfunctional interactions between association and sensorimotor areas. MethodsTo examine disruptions of hierarchical cortical function across distinct stages of psychosis, we applied diffusion map embedding to two independent fMRI datasets: one comprised 114 patients with early psychosis and 48 controls, and the other comprising 50 patients with established schizophrenia and 121 controls. We then analysed the primary sensory-fugal and secondary visual-to-sensorimotor gradients of each participant in both datasets. ResultsThere were no significant differences in regional gradient scores between patients with early psychosis and controls. Patients with established schizophrenia showed significant differences in the secondary, but not primary, gradient relative to controls. Gradient differences in schizophrenia were characterised by lower within-network dispersion in the Dorsal Attention (pFDR<.001), Visual (pFDR=.003), Frontoparietal (pFDR=.018), and Limbic (pFDR=.020) networks and lower between-network dispersion between the Visual network and other networks (pFDR<.001). ConclusionsThese findings indicate that differences in cortical hierarchical function occur along the secondary visual-to-sensorimotor axis rather than the primary sensory-fugal axis, as previously thought. The absence of differences in early psychosis suggests that visual-sensorimotor abnormalities may emerge as the illness progresses.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Multivariate Resting-State Functional Connectivity Features Linked to Transdiagnostic Psychopathology in Early Psychosis 98%
- Connectivity patterns of task-specific brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and link to molecular architecture 97%
- Decoding Early Psychoses: Unraveling Stable Microstructural Features Associated with Psychopathology Across Independent Cohorts 96%
Similar papers in this journal
- Individual deviations from normative models of brain structure in a large cross-sectional schizophrenia cohort 97%
- Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study 96%
- Connectome dysfunction in patients at clinical high risk for psychosis and modulation by oxytocin 96%
Similar papers in this journal
- Auditory and Visual Thalamocortical Connectivity Alterations in Unmedicated People with Schizophrenia: An Individualized Sensory Thalamic Localization and Resting-State Functional Connectivity Study 97%
- Cerebellar-Prefrontal Connectivity Predicts Negative Symptom Severity Across the Psychosis Spectrum 96%
- Longitudinal development of thalamocortical functional connectivity in 22q11.2 deletion syndrome 95%
Similar papers in this journal
- Neurobiology-based Cognitive Biotypes Using Multi-scale Intrinsic Connectivity Networks in Psychotic Disorders 96%
- Heterogeneity of morphometric similarity networks in health and schizophrenia 96%
- Altered white matter microstructure of language pathways and semantic cognition deficiencies in early psychosis 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.