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Age-related network connectivity pattern changes are associated with risk for psychosis

Published online by Cambridge University Press:  01 September 2022

R. Passiatore ,
L. Antonucci ,
T. Deramus ,
L. Fazio ,
G. Stolfa ,
I. Andriola ,
M. Sangiuliano ,
M. Altamura ,
A. Saponaro  and
F. Brudaglio
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R. Passiatore*
Affiliation:
University of Bari Aldo Moro, Basic Medical Science, Neuroscience And Sense Organs, Bari, Italy Georgia State University, Tri-institutional Center For Translational Research In Neuroimaging And Data Science (trends), Atlanta, United States of America
L. Antonucci
Affiliation:
University of Bari Aldo Moro, Basic Medical Science, Neuroscience And Sense Organs, Bari, Italy University of Bari Aldo Moro, Department Of Education, Psychology And Communication, Bari, Italy
T. Deramus
Affiliation:
Georgia State University, Tri-institutional Center For Translational Research In Neuroimaging And Data Science (trends), Atlanta, United States of America
L. Fazio
Affiliation:
University of Bari Aldo Moro, Basic Medical Science, Neuroscience And Sense Organs, Bari, Italy
G. Stolfa
Affiliation:
University of Bari Aldo Moro, Basic Medical Science, Neuroscience And Sense Organs, Bari, Italy
I. Andriola
Affiliation:
University Hospital, Psychiatric Unit, Bari, Italy
M. Sangiuliano
Affiliation:
University Hospital, Psychiatric Unit, Bari, Italy
M. Altamura
Affiliation:
University of Foggia, Department Of Clinical And Experimental Medicine, Foggia, Italy
A. Saponaro
Affiliation:
ASL Brindisi, Department Of Mental Health, Brindisi, Italy
F. Brudaglio
Affiliation:
Department of Mental Health, Asl Barletta-andria-trani, Andria, Italy
A. Carofiglio
Affiliation:
Department of Mental Health, Asl Bari, Bari, Italy
T. Popolizio
Affiliation:
IRCCS Casa Sollievo della Sofferenza Hospital, Neuroradiology Unit, S. Giovanni Rotondo, Italy
F. Sambataro
Affiliation:
University of Padova, Department Of Neuroscience, Padova, Italy
G. Blasi
Affiliation:
University of Bari Aldo Moro, Basic Medical Science, Neuroscience And Sense Organs, Bari, Italy University Hospital, Psychiatric Unit, Bari, Italy
A. Bertolino
Affiliation:
University of Bari Aldo Moro, Basic Medical Science, Neuroscience And Sense Organs, Bari, Italy University Hospital, Psychiatric Unit, Bari, Italy
V. Calhoun
Affiliation:
Georgia State University, Tri-institutional Center For Translational Research In Neuroimaging And Data Science (trends), Atlanta, United States of America
G. Pergola
Affiliation:
University of Bari Aldo Moro, Basic Medical Science, Neuroscience And Sense Organs, Bari, Italy Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, United States of America
*
*Corresponding author.

Abstract

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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 (pFDR<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 (pFDR<0.05). HR showed no significant difference compared with aNC (pFDR>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.

Keywords

fMRIRisk for psychosisIndependent Component AnalysisNeurodevelopment
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S316
Creative Commons
Creative Common License - CCCreative Common License - BY
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.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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