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Resting-state Functional Connectivity within Frontoparietal Network in Schizophrenia Patients and Healthy Individuals with Better and Worse Executive Functions

Published online by Cambridge University Press:  01 September 2022

Y. Panikratova ,
E. Abdullina ,
D. Tikhonov ,
V. Kaleda  and
I. Lebedeva
Y. Panikratova
Affiliation:
Mental Health Research Center, Laboratory Of Neuroimaging And Multimodal Analysis, Moscow, Russian Federation
E. Abdullina*
Affiliation:
Mental Health Research Center, Laboratory Of Neuroimaging And Multimodal Analysis, Moscow, Russian Federation
D. Tikhonov
Affiliation:
Mental Health Research Center, Department Of Youth Psychiatry, Moscow, Russian Federation
V. Kaleda
Affiliation:
Mental Health Research Center, Department Of Youth Psychiatry, Moscow, Russian Federation
I. Lebedeva
Affiliation:
Mental Health Research Center, Laboratory Of Neuroimaging And Multimodal Analysis, Moscow, Russian Federation
*
*Corresponding author.

Abstract

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Introduction

Patients with schizophrenia spectrum disorders (SP) demonstrate heterogeneity in executive functions (EF) associated with the quality of outcome. However, neurobiological mechanisms of this heterogeneity are understudied.

Objectives

We aimed to identify features of resting-state functional connectivity (FC) within the frontoparietal network (FPN) that discriminate between SP and healthy individuals (HI) with better and worse EF.

Methods

Twenty-five SP (mean age 20.8±3.23, illness duration 1.3±2.1 years, all males) and twenty-six HI (mean age 25.17±3.46, all males) underwent EF assessment (4 verbal fluency tests and a modified Stroop task) as well as resting-state fMRI (3T).

Results

We used k-means clustering based on EF scores to divide all participants into groups with worse (15 SP, 6 HI) and better EF (10 SP, 20 HI). These groups differed in productivity of all verbal fluency tasks and performance time of the Stroop task. Differences between four subgroups (HI/SP with worse/better EF) were revealed in FC between the cingulate and lateral prefrontal cortex in the left hemisphere (ANCOVA, p-uncorrected<.005, p[FDR]<.05; Fig. 1). SP and HI within each group demonstrated a similar FC pattern. SP with poorer EF had increased FC, compared to HI with higher EF. HI with poorer EF demonstrated increased FC, compared to HI and SP with better EF.

Conclusions

FC within FPN may be one of the neurophysiological underpinnings of EF heterogeneity in SP as well as in HI. Further machine learning fMRI studies are needed to clarify whether FC within FPN is a prognostic marker in schizophrenia.

Disclosure

The study was supported by RFBR Grant 20-013-00748.

Keywords

resting-state fMRIschizophréniafrontoparietal networkExecutive functions
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S154 - S155
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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