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Age-related network connectivity pattern changes are associated with risk for psychosis
INTRODUCTION: Psychosis onset typically occurs during adolescence or early adulthood, coinciding with the latest stage of brain maturation. Alterations in brain functional connectivity (FC) accompany the emergence of psychiatric symptoms and cognitive impairments. Thus, age-related FC changes may be...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566865/ http://dx.doi.org/10.1192/j.eurpsy.2022.805 |
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author | Passiatore, R. Antonucci, L. Deramus, T. Fazio, L. Stolfa, G. Andriola, I. Sangiuliano, M. Altamura, M. Saponaro, A. Brudaglio, F. Carofiglio, A. Popolizio, T. Sambataro, F. Blasi, G. Bertolino, A. Calhoun, V. Pergola, G. |
author_facet | Passiatore, R. Antonucci, L. Deramus, T. Fazio, L. Stolfa, G. Andriola, I. Sangiuliano, M. Altamura, M. Saponaro, A. Brudaglio, F. Carofiglio, A. Popolizio, T. Sambataro, F. Blasi, G. Bertolino, A. Calhoun, V. Pergola, G. |
author_sort | Passiatore, R. |
collection | PubMed |
description | INTRODUCTION: Psychosis onset typically occurs during adolescence or early adulthood, coinciding with the latest stage of brain maturation. Alterations in brain functional connectivity (FC) accompany the emergence of psychiatric symptoms and cognitive impairments. Thus, age-related FC changes may be informative regarding psychosis onset. OBJECTIVES: We defined neurotypical age-related FC trajectories and hypothesized that FC of individuals at familial and clinical high risk (HR) for psychosis deviates from FC of neurotypical controls (NC). METHODS: We analyzed two independent cohorts, of (a) 356 early adult NC (yNC; age=22±2y, m:f=149:207), and 127 mature adult NC (aNC; age=38±7y, m:f=79:48), and (b) 92 yNC (age=22±2y, m:f=34:58), 33 aNC (age=36±6y, m:f=21:12), 38 early HR adults (age=20±3y, m:f=18:20). We acquired fMRI data from multiple scans (resting-state, working memory, episodic memory, and implicit emotion processing). FC was obtained by computing Pearson’s correlations between time-courses of every independent component (IC) defined by an Independent Component Analysis approach (NeuroMark). Age-varying components of interest (yNC/aNC differences on FC based on linear mixed effect regressions) were tested for differences between HR and yNC through the Wilcoxon rank-sum test. RESULTS: showed age-related FC differences (yNC/aNC) in a set of 17 IC pairs (p(FDR)<0.05). HR showed increased FC within a network including dorsolateral and medial prefrontal cortices, and sensorimotor cortex, while decreased FC between cerebellum and the parietal and visual cortices, compared with yNC (p(FDR)<0.05). HR showed no significant difference compared with aNC (p(FDR)>0.05). CONCLUSIONS: This study tested FC alterations associated with the risk for psychosis and highlighted the relationship between psychosis and potentially altered brain functional processes. DISCLOSURE: No significant relationships. |
format | Online Article Text |
id | pubmed-9566865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95668652022-10-17 Age-related network connectivity pattern changes are associated with risk for psychosis Passiatore, R. Antonucci, L. Deramus, T. Fazio, L. Stolfa, G. Andriola, I. Sangiuliano, M. Altamura, M. Saponaro, A. Brudaglio, F. Carofiglio, A. Popolizio, T. Sambataro, F. Blasi, G. Bertolino, A. Calhoun, V. Pergola, G. Eur Psychiatry Abstract INTRODUCTION: Psychosis onset typically occurs during adolescence or early adulthood, coinciding with the latest stage of brain maturation. Alterations in brain functional connectivity (FC) accompany the emergence of psychiatric symptoms and cognitive impairments. Thus, age-related FC changes may be informative regarding psychosis onset. OBJECTIVES: We defined neurotypical age-related FC trajectories and hypothesized that FC of individuals at familial and clinical high risk (HR) for psychosis deviates from FC of neurotypical controls (NC). METHODS: We analyzed two independent cohorts, of (a) 356 early adult NC (yNC; age=22±2y, m:f=149:207), and 127 mature adult NC (aNC; age=38±7y, m:f=79:48), and (b) 92 yNC (age=22±2y, m:f=34:58), 33 aNC (age=36±6y, m:f=21:12), 38 early HR adults (age=20±3y, m:f=18:20). We acquired fMRI data from multiple scans (resting-state, working memory, episodic memory, and implicit emotion processing). FC was obtained by computing Pearson’s correlations between time-courses of every independent component (IC) defined by an Independent Component Analysis approach (NeuroMark). Age-varying components of interest (yNC/aNC differences on FC based on linear mixed effect regressions) were tested for differences between HR and yNC through the Wilcoxon rank-sum test. RESULTS: showed age-related FC differences (yNC/aNC) in a set of 17 IC pairs (p(FDR)<0.05). HR showed increased FC within a network including dorsolateral and medial prefrontal cortices, and sensorimotor cortex, while decreased FC between cerebellum and the parietal and visual cortices, compared with yNC (p(FDR)<0.05). HR showed no significant difference compared with aNC (p(FDR)>0.05). CONCLUSIONS: This study tested FC alterations associated with the risk for psychosis and highlighted the relationship between psychosis and potentially altered brain functional processes. DISCLOSURE: No significant relationships. Cambridge University Press 2022-09-01 /pmc/articles/PMC9566865/ http://dx.doi.org/10.1192/j.eurpsy.2022.805 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Passiatore, R. Antonucci, L. Deramus, T. Fazio, L. Stolfa, G. Andriola, I. Sangiuliano, M. Altamura, M. Saponaro, A. Brudaglio, F. Carofiglio, A. Popolizio, T. Sambataro, F. Blasi, G. Bertolino, A. Calhoun, V. Pergola, G. Age-related network connectivity pattern changes are associated with risk for psychosis |
title | Age-related network connectivity pattern changes are associated with risk for psychosis |
title_full | Age-related network connectivity pattern changes are associated with risk for psychosis |
title_fullStr | Age-related network connectivity pattern changes are associated with risk for psychosis |
title_full_unstemmed | Age-related network connectivity pattern changes are associated with risk for psychosis |
title_short | Age-related network connectivity pattern changes are associated with risk for psychosis |
title_sort | age-related network connectivity pattern changes are associated with risk for psychosis |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566865/ http://dx.doi.org/10.1192/j.eurpsy.2022.805 |
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