Right hippocampal volume and attenuated psychotic symptoms distinguish subgroups of youth with common patterns of temporoparietal effective connectivity
Year: 2026
Type: article
Abstract: Associations between patterns of brain connectivity and brain structural features have transdiagnostic relevance to psychopathology. There is considerable evidence for disruptions to the hippocampus and temporoparietal brain systems in psychotic disorders. The present study examines structure–function relationships—specifically, the relation of hippocampal volume with patterns of temporoparietal effective connectivity—in youth at clinical high-risk for psychosis (CHR-P) and healthy controls (HCs). Participants at CHR-P and HCs completed clinical symptom measures and magnetic resonance imaging at baseline (n = 388, 42.5% female, age = 19.8 ± 4.2) in the second cohort of the North American Prodrome Longitudinal Study. Group Iterative Multiple Model Estimation established a common functional network of temporoparietal effective connectivity in the full sample. Next, supervised (assuming the CHR-P and HC groups represent classes) and unsupervised (data-driven) clustering procedures interrogated effective connectivity parameters relevant to subsamples. Mean difference tests by unsupervised cluster membership determined whether clusters formed based on temporoparietal effective connectivity differed in hippocampal volume. Clusters were also compared on representation of CHR-P and positive and negative symptom totals to determine whether unsupervised clustering recovered clinical features. Unsupervised clustering generated two clusters that differed significantly in right hippocampal volume and attenuated positive and negative symptoms with small-to-medium effect sizes. The cluster demonstrating reduced right hippocampal volume reported greater symptoms. Unsupervised clustering did not recover diagnostic groups. Findings are consistent with literature indicating the transdiagnostic relevance of hippocampal volume to organizational properties of brain functional networks and patterns of temporoparietal connectivity. Supplementary Information: The online version contains supplementary material available at 10.1007/s00429-026-03161-1.
Source: UNC Libraries
DOI: 10.17615/x34f-vv84
Institution: University of North Carolina at Chapel Hill
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Funders: Robert Wood Johnson Foundation, American Brain Foundation, Novartis Pharmaceuticals Corporation, Health Foundation of South Florida, “la Caixa” Foundation, Department of Agriculture, Environment and Rural Affairs, UK Government, UK Research and Innovation, Ministerio de Ciencia, Innovación y Universidades, Georgia Clinical and Translational Science Alliance, Deutsche Forschungsgemeinschaft, National Natural Science Foundation of China, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, China Postdoctoral Science Foundation, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Max-Planck-Gesellschaft, Vetenskapsrådet, Ministerio de Ciencia e Innovación, Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Natural Science Foundation of Henan Province, Addis Ababa University, Dezful University of Medical Sciences, National Institutes of Health, Biotechnology and Biological Sciences Research Council, Natural Environment Research Council, Japan Society for the Promotion of Science, Instituto de Salud Carlos III, Balliol College, University of Oxford, National Key Research and Development Program of China, Conselleria de Cultura, Educación y Ciencia, Generalitat Valenciana, Shenzhen Science and Technology Innovation Program, National Institute on Aging, National Institute of Mental Health
OpenAlex ID: W7203954334
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