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Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function

OBJECTIVE: Social dysfunction is a major feature of clinical-high-risk states for psychosis (CHR-P). Prior research has identified a neuroanatomical pattern associated with impaired social function outcome in CHR-P. The aim of the current study was to test whether social dysfunction in CHR-P is neur...

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Detalles Bibliográficos
Autores principales: Haas, Shalaila S., Doucet, Gaelle E., Antoniades, Mathilde, Modabbernia, Amirhossein, Corcoran, Cheryl M., Kahn, René S., Kambeitz, Joseph, Kambeitz-Ilankovic, Lana, Borgwardt, Stefan, Brambilla, Paolo, Upthegrove, Rachel, Wood, Stephen J., Salokangas, Raimo K.R., Hietala, Jarmo, Meisenzahl, Eva, Koutsouleris, Nikolaos, Frangou, Sophia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980307/
https://www.ncbi.nlm.nih.gov/pubmed/35391789
http://dx.doi.org/10.1016/j.scog.2022.100252
Descripción
Sumario:OBJECTIVE: Social dysfunction is a major feature of clinical-high-risk states for psychosis (CHR-P). Prior research has identified a neuroanatomical pattern associated with impaired social function outcome in CHR-P. The aim of the current study was to test whether social dysfunction in CHR-P is neurobiologically distinct or in a continuum with the lower end of the normal distribution of individual differences in social functioning. METHODS: We used a machine learning classifier to test for the presence of a previously validated brain structural pattern associated with impaired social outcome in CHR-P (CHR-outcome-neurosignature) in the neuroimaging profiles of individuals from two non-clinical samples (total n = 1763) and examined its association with social function, psychopathology and cognition. RESULTS: Although the CHR-outcome-neurosignature could be detected in a subset of the non-clinical samples, it was not associated was adverse social outcomes or higher psychopathology levels. However, participants whose neuroanatomical profiles were highly aligned with the CHR-outcome-neurosignature manifested subtle disadvantage in fluid (P(FDR) = 0.004) and crystallized intelligence (P(FDR) = 0.01), cognitive flexibility (P(FDR) = 0.02), inhibitory control (P(FDR) = 0.01), working memory (P(FDR) = 0.0005), and processing speed (P(FDR) = 0.04). CONCLUSIONS: We provide evidence of divergence in brain structural underpinnings of social dysfunction derived from a psychosis-risk enriched population when applied to non-clinical samples. This approach appears promising in identifying brain mechanisms bound to psychosis through comparisons of patient populations to non-clinical samples with the same neuroanatomical profiles.