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Normative Modeling of Brain Morphometry in Clinical High Risk for Psychosis.

, Shalaila S Haas1, Ruiyang Ge2,3

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|October 11, 2023
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Summary

Neuroanatomical variation in individuals at clinical high risk for psychosis (CHR-P) falls within the healthy range, suggesting macroscale neuromorphometric measures may not adequately explain psychosis risk. This finding challenges traditional views of psychosis heterogeneity.

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Neuroimaging

Background:

  • Robust neuroanatomical markers for psychosis risk are lacking, potentially due to heterogeneity or variation within healthy ranges.
  • This study investigates neuroanatomical deviations in individuals at clinical high risk for psychosis (CHR-P).

Approach:

  • Utilized regional measures of cortical thickness, surface area, and subcortical volume from 1340 CHR-P individuals and 1237 healthy controls across 29 international sites.
  • Calculated deviation scores (z scores) from normative means and average deviation scores (ADS) for morphometric measures.
  • Assessed associations between deviation scores, positive symptoms, cognition, and conversion to psychosis.

Key Points:

  • Individuals with CHR-P and healthy individuals showed overlapping distributions in neuroanatomical measures and deviation scores.
  • The proportion of individuals with significantly infranormal or supranormal morphometric values was low and similar between CHR-P and healthy groups.
  • In CHR-P, higher infranormal temporal region values were linked to conversion to psychosis, and ADS SA correlated with positive symptoms and IQ.

Conclusions:

  • Macroscale neuromorphometric measures may not adequately explain psychosis risk.
  • Neuroanatomical variation in CHR-P individuals largely falls within the normative range observed in healthy populations.
  • Future research should explore other potential markers beyond gross structural neuroanatomy.