Altered Structural Network Architecture is Predictive of the Presence of Psychotic Symptoms in Patients with 22q11.2 Deletion Syndrome

Overview

Journal Neuroimage Clin

Publisher Elsevier

Specialties Neurology
Radiology

Date 2017 Aug 11

PMID 28794975

Citations 10

Authors

Maria C Padula

Elisa Scariati

Marie Schaer

Corrado Sandini

Marie Christine Ottet

Maude Schneider

Dimitri Van De Ville

Stephan Eliez

Affiliations

Soon will be listed here.

Abstract

22q11.2 deletion syndrome (22q11DS) represents a homogeneous model of schizophrenia particularly suitable for the search of neural biomarkers of psychosis. Impairments in structural connectivity related to the presence of psychotic symptoms have been reported in patients with 22q11DS. However, the relationships between connectivity changes in patients with different symptomatic profiles are still largely unknown and warrant further investigations. In this study, we used structural connectivity to discriminate patients with 22q11DS with ( = 31) and without ( = 31) attenuated positive psychotic symptoms. Different structural connectivity measures were used, including the number of streamlines connecting pairs of brain regions, graph theoretical measures, and diffusion measures. We used univariate group comparisons as well as predictive multivariate approaches. The univariate comparison of connectivity measures between patients with or without attenuated positive psychotic symptoms did not give significant results. However, the multivariate prediction revealed that altered structural network architecture discriminates patient subtypes (accuracy = 67.7%). Among the regions contributing to the classification we found the anterior cingulate cortex, which is known to be associated to the presence of psychotic symptoms in patients with 22q11DS. Furthermore, a significant discrimination (accuracy = 64%) was obtained with fractional anisotropy and radial diffusivity in the left inferior longitudinal fasciculus and the right cingulate gyrus. Our results point to alterations in structural network architecture and white matter microstructure in patients with 22q11DS with attenuated positive symptoms, mainly involving connections of the limbic system. These alterations may therefore represent a potential biomarker for an increased risk of psychosis that should be further tested in longitudinal studies.

Citing Articles

A Comprehensive Analysis of Cerebellar Volumes in the 22q11.2 Deletion Syndrome.

Schmitt J, DeBevits J, Roalf D, Ruparel K, Gallagher R, Gur R Biol Psychiatry Cogn Neurosci Neuroimaging. 2021; 8(1):79-90.

PMID: 34848384 PMC: 9162086. DOI: 10.1016/j.bpsc.2021.11.008.

Abnormal nodal and global network organization in resting state functional MRI from subjects with the 22q11 deletion syndrome.

Pelgrim T, Bossong M, Cuiza A, Alliende L, Mena C, Tepper A Sci Rep. 2021; 11(1):21623.

PMID: 34732759 PMC: 8566599. DOI: 10.1038/s41598-021-00873-8.

Structural control energy of resting-state functional brain states reveals less cost-effective brain dynamics in psychosis vulnerability.

Zoller D, Sandini C, Schaer M, Eliez S, Bassett D, Van De Ville D Hum Brain Mapp. 2021; 42(7):2181-2200.

PMID: 33566395 PMC: 8046160. DOI: 10.1002/hbm.25358.

Identifying neurodevelopmental anomalies of white matter microstructure associated with high risk for psychosis in 22q11.2DS.

Bagautdinova J, Padula M, Zoller D, Sandini C, Schneider M, Schaer M Transl Psychiatry. 2020; 10(1):408.

PMID: 33235187 PMC: 7686319. DOI: 10.1038/s41398-020-01090-z.

Approaches to attenuated psychosis syndrome treatments: A perspective on the regulatory issues.

Pani L, Keefe R Schizophr Res Cogn. 2019; 18:100155.

PMID: 31431890 PMC: 6580145. DOI: 10.1016/j.scog.2019.100155.

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