Literature DB >> 28011131

Functional brain networks in treatment-resistant schizophrenia.

Eleni P Ganella1, Cali F Bartholomeusz2, Caio Seguin3, Sarah Whittle3, Chad Bousman4, Christina Phassouliotis3, Ian Everall5, Christos Pantelis6, Andrew Zalesky7.   

Abstract

INTRODUCTION: Up to 20% of individuals with schizophrenia show minimal or no response to medication and are considered to have 'treatment-resistant' schizophrenia (TRS). Unlike early and established schizophrenia, few studies have investigated resting-state functional connectivity (rs-FC) in TRS. Here, we test for disruptions in FC and altered efficiency of functional brain networks in a well-characterized cohort of TRS patients.
METHODS: Resting-state functional magnetic resonance imaging was used to investigate functional brain networks in 42 TRS participants prescribed clozapine (30 males, mean age=41.3(10)) and 42 healthy controls (24 males, mean age=38.4(10)). Graph analysis was used to characterize between-group differences in local and global efficiency of functional brain network organization as well as the strength of FC.
RESULTS: Global brain FC was reduced in TRS patients (p=0.0001). Relative to controls, 3.4% of all functional connections showed reduced strength in TRS (p<0.001), predominantly involving fronto-temporal, fronto-occipital and temporo-occipital connections. Global efficiency was reduced in TRS (p=0.0015), whereas local efficiency was increased (p=0.0042).
CONCLUSIONS: TRS is associated with widespread reductions in rs-FC and altered network topology. Increased local functional network efficiency coupled with decreased global efficiency suggests that hub-to-hub connections are preferentially affected in TRS. These findings further our understanding of the neurobiological impairments in TRS.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Functional connectivity; Network efficiency; Treatment-resistant schizophrenia; fMRI

Mesh:

Year:  2016        PMID: 28011131     DOI: 10.1016/j.schres.2016.12.008

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  14 in total

1.  Neural substrate of unrelenting negative symptoms in schizophrenia: a longitudinal resting-state fMRI study.

Authors:  Mingli Li; Wei Deng; Tushar Das; Yinfei Li; Liansheng Zhao; Xiaohong Ma; Yingcheng Wang; Hua Yu; Xiaojing Li; Ya-Jing Meng; Qiang Wang; Lena Palaniyappan; Tao Li
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2017-11-11       Impact factor: 5.270

2.  Spatio-temporal dynamics of resting-state brain networks improve single-subject prediction of schizophrenia diagnosis.

Authors:  Akhil Kottaram; Leigh Johnston; Eleni Ganella; Christos Pantelis; Ramamohanarao Kotagiri; Andrew Zalesky
Journal:  Hum Brain Mapp       Date:  2018-05-10       Impact factor: 5.038

Review 3.  Dopaminergic dysfunction and excitatory/inhibitory imbalance in treatment-resistant schizophrenia and novel neuromodulatory treatment.

Authors:  Masataka Wada; Yoshihiro Noda; Yusuke Iwata; Sakiko Tsugawa; Kazunari Yoshida; Hideaki Tani; Yoji Hirano; Shinsuke Koike; Daiki Sasabayashi; Haruyuki Katayama; Eric Plitman; Kazutaka Ohi; Fumihiko Ueno; Fernando Caravaggio; Teruki Koizumi; Philip Gerretsen; Takefumi Suzuki; Hiroyuki Uchida; Daniel J Müller; Masaru Mimura; Gary Remington; Anthony A Grace; Ariel Graff-Guerrero; Shinichiro Nakajima
Journal:  Mol Psychiatry       Date:  2022-04-20       Impact factor: 15.992

4.  Aberrant triple-network connectivity patterns discriminate biotypes of first-episode medication-naive schizophrenia in two large independent cohorts.

Authors:  Sugai Liang; Qiang Wang; Andrew J Greenshaw; Xiaojing Li; Wei Deng; Hongyan Ren; Chengcheng Zhang; Hua Yu; Wei Wei; Yamin Zhang; Mingli Li; Liansheng Zhao; Xiangdong Du; Yajing Meng; Xiaohong Ma; Chao-Gan Yan; Tao Li
Journal:  Neuropsychopharmacology       Date:  2021-01-06       Impact factor: 8.294

5.  Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment.

Authors:  Yueying Zhou; Lishan Qiao; Weikai Li; Limei Zhang; Dinggang Shen
Journal:  Front Neuroinform       Date:  2018-02-06       Impact factor: 4.081

6.  Distinguishing Between Treatment-Resistant and Non-Treatment-Resistant Schizophrenia Using Regional Homogeneity.

Authors:  Shuzhan Gao; Shuiping Lu; Xiaomeng Shi; Yidan Ming; Chaoyong Xiao; Jing Sun; Hui Yao; Xijia Xu
Journal:  Front Psychiatry       Date:  2018-08-06       Impact factor: 4.157

Review 7.  Multidimensional Connectomics and Treatment-Resistant Schizophrenia: Linking Phenotypic Circuits to Targeted Therapeutics.

Authors:  Mary-Anne B MacKay; John W Paylor; James T F Wong; Ian R Winship; Glen B Baker; Serdar M Dursun
Journal:  Front Psychiatry       Date:  2018-10-30       Impact factor: 4.157

8.  Directed Brain Connectivity Identifies Widespread Functional Network Abnormalities in Parkinson's Disease.

Authors:  Mite Mijalkov; Giovanni Volpe; Joana B Pereira
Journal:  Cereb Cortex       Date:  2022-01-22       Impact factor: 5.357

9.  Classification of Schizophrenia by Combination of Brain Effective and Functional Connectivity.

Authors:  Zongya Zhao; Jun Li; Yanxiang Niu; Chang Wang; Junqiang Zhao; Qingli Yuan; Qiongqiong Ren; Yongtao Xu; Yi Yu
Journal:  Front Neurosci       Date:  2021-06-03       Impact factor: 4.677

10.  Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up: Comparison of connectomic, structural, and clinical predictors.

Authors:  Akhil Kottaram; Leigh A Johnston; Ye Tian; Eleni P Ganella; Liliana Laskaris; Luca Cocchi; Patrick McGorry; Christos Pantelis; Ramamohanarao Kotagiri; Vanessa Cropley; Andrew Zalesky
Journal:  Hum Brain Mapp       Date:  2020-05-29       Impact factor: 5.038

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