Neighborhood social fragmentation and cerebello-thalamo-cortical connectivity in youth at clinical high-risk for psychosis and healthy comparisons

• Social determinants of health shape psychosis risk through brain systems. • Clinical high-risk youth show greater cerebello-thalamo-cortical (CTC) connectivity. • Social fragmentation is linked to higher CTC connectivity in youth at clinical high-risk. • Socio-environmental adversity may modulate neural circuits linked to psychosis risk. Hyperconnectivity in the cerebello-thalamo-cortical (CTC) circuit, a key component of predictive coding, has been linked to schizophrenia and psychosis risk among youth at clinical high-risk for psychosis (CHR-P). The cerebellum monitors prediction errors, and its dysfunction may lead to misattributions of internal experiences and, consequently, hallucinations and delusions. Neighborhood social fragmentation, characterized by disrupted social ties and unpredictable norms, may compromise the brain’s ability to form stable models of the social world. Within predictive coding frameworks, such environments can hinder belief updating, increasing reliance on prior beliefs. This maladaptive process may disrupt CTC connectivity, thereby increasing vulnerability to psychosis. This study examined whether neighborhood social fragmentation predicts CTC connectivity in CHR-P and healthy comparison (HC) youth using functional connectivity data from the North American Prodrome Longitudinal Study Phase 2. Generalized linear mixed models assessed associations between social fragmentation and CTC connectivity, adjusting for age, sex, race/ethnicity, individual poverty, neighborhood educational attainment (proportion of residents with <9 th grade education), and study site. Participants (mean [SD] age=19.46 [4.34]; 42.9% female; 44.4% White non-Hispanic) included 115 CHR-P and 74 HCs. CHR-P youth exhibited significantly greater CTC connectivity (mean [SD]=0.28 [0.91]) compared to HC youth (mean [SD]=−0.44 [0.98]). Greater neighborhood social fragmentation was associated with increased CTC connectivity among CHR-P youth (adjusted β=0.021, 95% CI=0.004–0.038), with a similar, nonsignificant trend among HCs (adjusted β=0.016, 95% CI=−0.009–0.041). These findings suggest that the social environment may contribute to the psychosis risk by modulating CTC connectivity, highlighting potential targets for prevention and early intervention.

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Publication Details

Journal
Brain and Environment
Published
2026-02-26
DOI
https://doi.org/10.1016/j.braen.2026.100016
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Neighborhood social fragmentation and cerebello-thalamo-cortical connectivity in youth at clinical high-risk for psychosis and healthy comparisons

S.W. Woods, E WALKER, Woods Sw, Benson S Ku et al.
Brain and Environment
Schizophrenia research and treatment
article

Neighborhood social fragmentation and cerebello-thalamo-cortical connectivity in youth at clinical high-risk for psychosis and healthy comparisons

S.W. Woods, E WALKER, Woods Sw, Benson S Ku, William S. Stone, Jean Addington, Hengyi Cao, Ricardo E. Carrion, Matcheri S. Keshavan, Daniel H. Mathalon, Carrie E. Bearden, Kristin S. Cadenhead, Ella J. Arrant, Tyrone D. Cannon
article en

Abstract

• Social determinants of health shape psychosis risk through brain systems. • Clinical high-risk youth show greater cerebello-thalamo-cortical (CTC) connectivity. • Social fragmentation is linked to higher CTC connectivity in youth at clinical high-risk. • Socio-environmental adversity may modulate neural circuits linked to psychosis risk. Hyperconnectivity in the cerebello-thalamo-cortical (CTC) circuit, a key component of predictive coding, has been linked to schizophrenia and psychosis risk among youth at clinical high-risk for psychosis (CHR-P). The cerebellum monitors prediction errors, and its dysfunction may lead to misattributions of internal experiences and, consequently, hallucinations and delusions. Neighborhood social fragmentation, characterized by disrupted social ties and unpredictable norms, may compromise the brain’s ability to form stable models of the social world. Within predictive coding frameworks, such environments can hinder belief updating, increasing reliance on prior beliefs. This maladaptive process may disrupt CTC connectivity, thereby increasing vulnerability to psychosis. This study examined whether neighborhood social fragmentation predicts CTC connectivity in CHR-P and healthy comparison (HC) youth using functional connectivity data from the North American Prodrome Longitudinal Study Phase 2. Generalized linear mixed models assessed associations between social fragmentation and CTC connectivity, adjusting for age, sex, race/ethnicity, individual poverty, neighborhood educational attainment (proportion of residents with <9 th grade education), and study site. Participants (mean [SD] age=19.46 [4.34]; 42.9% female; 44.4% White non-Hispanic) included 115 CHR-P and 74 HCs. CHR-P youth exhibited significantly greater CTC connectivity (mean [SD]=0.28 [0.91]) compared to HC youth (mean [SD]=−0.44 [0.98]). Greater neighborhood social fragmentation was associated with increased CTC connectivity among CHR-P youth (adjusted β=0.021, 95% CI=0.004–0.038), with a similar, nonsignificant trend among HCs (adjusted β=0.016, 95% CI=−0.009–0.041). These findings suggest that the social environment may contribute to the psychosis risk by modulating CTC connectivity, highlighting potential targets for prevention and early intervention.

Brain and EnvironmentVol. 5
University of North Carolina at Chapel Hill (US), Beth Israel Deaconess Medical Center (US), Feinstein Institute for Medical Research (US), Hofstra University (US), Emory University (US), University of Calgary (CA), University of California, San Francisco (US), Yale University (US), University of California San Diego (US), Neurobehavioral Systems (US), Donald & Barbara Zucker School of Medicine at Hofstra/Northwell (US), Woodruff Health Sciences Center (US), San Francisco VA Health Care System (US), University of San Francisco (US)
No poverty
Openalex Percentile: Top 47%
Schizophrenia research and treatment
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