<p>The Clinical High Risk (CHR) state for psychosis is consistently associated with widespread cortical thinning. However, the underlying mechanisms driving this neuroanatomical phenotype remain poorly understood. Here, we integrated the ENIGMA CHR Working Group’s large pooled dataset (<i>N</i> = 1782 CHR, <i>N</i> = 1333 healthy controls) with an open-source PET molecular atlas to identify, for the first time, potential neurochemical drivers of cortical thinning associated with psychosis risk, transition, and its core symptoms. Using multilinear model analysis, we show that local chemoarchitecture significantly explains CT differences associated with CHR case-control status, the severity of negative symptoms, and future psychosis transition after excluding medication confounds. PET-based maps of dopamine, GABA, glutamate, serotonin, and norepinephrine consistently emerged as the strongest predictors of lower CT in CHR and psychosis transition (total dominance range: 62–69% and 58–87%, respectively), with contributions of monoamine systems being especially sensitive to medication exposure (8–23% change in dominance range). Negative symptom-associated cortical thinning was best explained by PET-based maps of dopamine, histamine, serotonin and opioid systems (total dominance range: 60–81%), with contributions of histamine being sensitive to medication exposure (9–19% change in dominance range). Combined, these results uniquely identify specific neurochemical systems –&#xa0;particularly monoaminergic, glutamatergic, and GABAergic pathways – as key molecular mechanisms associated with cortical thinning in people at high risk of developing psychosis.</p>

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Local chemoarchitecture explains widespread lower cortical thickness associated with clinical high risk for psychosis

  • Xi Yang,
  • Ingrid Agartz,
  • Ole Andreassen,
  • Peter Bachman,
  • Inmaculada Baeza,
  • Cali Bartholomeusz,
  • Stefan Borgwardt,
  • Sunah Choi,
  • Tiziano Colibazzi,
  • Rebecca Cooper,
  • Cheryl Corcoran,
  • Camilo de la Fuente-Sandoval,
  • Bjørn Ebdrup,
  • Adriana Fortea,
  • Birte Yding Glenthøj,
  • Louise Birkedal Glenthøj,
  • Shalaila Haas,
  • Holly Hamilton,
  • Rebecca Hayes,
  • Ying He,
  • Karsten Heekeren,
  • Wenche ten Velden Hegelstad,
  • Christine Hooker,
  • Michael Kaess,
  • Kiyoto Kasai,
  • Naoyuki Katagiri,
  • Minah Kim,
  • Jochen Kindler,
  • Shinsuke Koike,
  • Tina Kristensen,
  • Jun Soo Kwon,
  • Stephen Lawrie,
  • Jimmy Lee,
  • Ashleigh Lin,
  • Rachel Loewy,
  • Daniel Mathalon,
  • Patrick McGorry,
  • Chantal Michel,
  • Paul Møller,
  • Takahiro Nemoto,
  • Marta Pena,
  • Jayachandra Raghava,
  • Francisco Reyes-Madrigal,
  • Luis Rivera-Chávez,
  • Wulf Rössler,
  • Daiki Sasabayashi,
  • Ulrich Schall,
  • Andre Schmidt,
  • Lukasz Smigielski,
  • Mikkel Sørensen,
  • Gisela Sugranyes,
  • Tsutomu Takahashi,
  • Christian Tamnes,
  • Jinsong Tang,
  • Anastasia Theodoridou,
  • Jordina Tor,
  • Peter Uhlhaas,
  • Tor Værnes,
  • Esther Via,
  • Sophia Vinogradov,
  • James Waltz,
  • Lars Westlye,
  • Stephen Wood,
  • Hidenori Yamasue,
  • Alison Yung,
  • Juan Zhou,
  • Paolo Fusar-Poli,
  • Romina Mizrahi,
  • Vanessa Cropley,
  • Paul Thompson,
  • Therese van Amelsvoort,
  • Maria Jalbrzikowski,
  • Benjamin Becker,
  • David E. J. Linden,
  • Dennis Hernaus,
  • Camilo de la Fuente-Sandoval,
  • Wenche ten Velden Hegelstad,
  • Therese van Amelsvoort

摘要

The Clinical High Risk (CHR) state for psychosis is consistently associated with widespread cortical thinning. However, the underlying mechanisms driving this neuroanatomical phenotype remain poorly understood. Here, we integrated the ENIGMA CHR Working Group’s large pooled dataset (N = 1782 CHR, N = 1333 healthy controls) with an open-source PET molecular atlas to identify, for the first time, potential neurochemical drivers of cortical thinning associated with psychosis risk, transition, and its core symptoms. Using multilinear model analysis, we show that local chemoarchitecture significantly explains CT differences associated with CHR case-control status, the severity of negative symptoms, and future psychosis transition after excluding medication confounds. PET-based maps of dopamine, GABA, glutamate, serotonin, and norepinephrine consistently emerged as the strongest predictors of lower CT in CHR and psychosis transition (total dominance range: 62–69% and 58–87%, respectively), with contributions of monoamine systems being especially sensitive to medication exposure (8–23% change in dominance range). Negative symptom-associated cortical thinning was best explained by PET-based maps of dopamine, histamine, serotonin and opioid systems (total dominance range: 60–81%), with contributions of histamine being sensitive to medication exposure (9–19% change in dominance range). Combined, these results uniquely identify specific neurochemical systems – particularly monoaminergic, glutamatergic, and GABAergic pathways – as key molecular mechanisms associated with cortical thinning in people at high risk of developing psychosis.