AI Article Synopsis

  • - The study investigates first-episode schizophrenia (FES) and its relationship with genetic factors, brain function, and treatment outcomes among a group of 116 FES patients and 100 healthy controls aged 7 to 30.
  • - Findings reveal that FES patients exhibit reduced global connection gradients in their brain networks, particularly in the default and sensorimotor networks, which relate to cognitive functions and are influenced by age at onset.
  • - The research identifies gene expression patterns that overlap with those in other psychiatric disorders, suggesting that these genetic factors contribute to the functional impairments observed in FES and can predict treatment responses.

Article Abstract

Background: First-episode schizophrenia (FES) is a progressive psychiatric disorder influenced by genetics, environmental factors, and brain function. The functional gradient deficits of drug-naïve FES and its relationship to gene expression profiles and treatment outcomes are unknown.

Methods: In this study, we engaged a cohort of 116 FES and 100 healthy controls (HC), aged 7 to 30 years, including 15 FES over an 8-week antipsychotic medication regimen. Our examination focused on primary-to-transmodal alterations in voxel-based connection gradients in FES. Then, we employed network topology, Neurosynth, postmortem gene expression, and support vector regression to evaluate integration and segregation functions, meta-analytic cognitive terms, transcriptional patterns, and treatment predictions.

Results: FES displayed diminished global connectome gradients (Cohen's = 0.32-0.57) correlated with compensatory integration and segregation functions (Cohen's = 0.31-0.36). Predominant alterations were observed in the default (67.6%) and sensorimotor (21.9%) network, related to high-order cognitive functions. Furthermore, we identified notable overlaps between partial least squares (PLS1) weighted genes and dysregulated genes in other psychiatric conditions. Genes linked with gradient alterations were enriched in synaptic signaling, neurodevelopment process, specific astrocytes, cortical layers (layer II and IV), and developmental phases from late/mid fetal to young adulthood. Additionally, the onset age influenced the severity of FES, with discernible differences in connection gradients between minor- and adult-FES. Moreover, the connectivity gradients of FES at baseline significantly predicted treatment outcomes.

Conclusions: These results offer significant theoretical foundations for elucidating the intricate interplay between macroscopic functional connection gradient changes and microscopic transcriptional patterns during the onset and progression of FES.

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Source
http://dx.doi.org/10.1017/S0033291724001739DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11650189PMC

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