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Decoding Early Psychoses: Unraveling Stable Microstructural Features Associated with Psychopathology Across Independent Cohorts.
Wang, Haley R; Liu, Zhen-Qi; Nakua, Hajer; Hegarty, Catherine E; Thies, Melanie Blair; Patel, Pooja K; Schleifer, Charles H; Boeck, Thomas P; McKinney, Rachel A; Currin, Danielle; Leathem, Logan; DeRosse, Pamela; Bearden, Carrie E; Misic, Bratislav; Karlsgodt, Katherine H.
Afiliação
  • Wang HR; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, United States.
  • Liu ZQ; Montréal Neurological Institute, McGill University, Montréal, QC, Canada.
  • Nakua H; Centre for Addiction and Mental Health, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
  • Hegarty CE; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.
  • Thies MB; Department of Psychiatry & Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
  • Patel PK; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, United States; Desert Pacific Mental Illness Research, Education, and Clinical Center Greater Los Angeles VA Healthcare System, Los Angeles, CA, United
  • Schleifer CH; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, United States; David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
  • Boeck TP; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.
  • McKinney RA; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.
  • Currin D; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.
  • Leathem L; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.
  • DeRosse P; Department of Psychology, Stony Brook University, Stony Brook, NY, United States.
  • Bearden CE; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, United States; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.
  • Misic B; Montréal Neurological Institute, McGill University, Montréal, QC, Canada.
  • Karlsgodt KH; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States; Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, United States. Electronic address: kkarlsgo@ucla.edu.
Biol Psychiatry ; 2024 Jun 20.
Article em En | MEDLINE | ID: mdl-38908657
ABSTRACT

BACKGROUND:

Early Psychosis patients (EP, within 3 years after psychosis onset) show significant variability, making outcome predictions challenging. Currently, little evidence exists for stable relationships between neural microstructural properties and symptom profiles across EP diagnoses, limiting the development of early interventions.

METHODS:

A data-driven approach, Partial Least Squares (PLS) correlation, was used across two independent datasets to examine multivariate relationships between white matter (WM) properties and symptomatology, to identify stable and generalizable signatures in EP. The primary cohort included EP patients from the Human Connectome Project-Early Psychosis (n=124). The replication cohort included EP patients from the Feinstein Institute for Medical Research (n=78). Both samples included individuals with schizophrenia, schizoaffective disorder, and psychotic mood disorders.

RESULTS:

In both cohorts, a significant latent component (LC) corresponded to a symptom profile combining negative symptoms, primarily diminished expression, with specific somatic symptoms. Both LCs captured comprehensive features of WM disruption, primarily a combination of subcortical and frontal association fibers. Strikingly, the PLS model trained on the primary cohort accurately predicted microstructural features and symptoms in the replication cohort. Findings were not driven by diagnosis, medication, or substance use.

CONCLUSIONS:

This data-driven transdiagnostic approach revealed a stable and replicable neurobiological signature of microstructural WM alterations in EP, across diagnoses and datasets, showing a strong covariance of these alterations with a unique profile of negative and somatic symptoms. This finding suggests the clinical utility of applying data-driven approaches to reveal symptom domains that share neurobiological underpinnings.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article