Literature DB >> 31279591

Transdiagnostic modulation of brain networks by electroconvulsive therapy in schizophrenia and major depression.

Fabio Sambataro1, Philipp Arthur Thomann2, Henrike Maria Nolte3, J H Hasenkamp3, Dusan Hirjak4, Katharina M Kubera3, Stefan Hofer5, Ulrich Seidl6, Malte Sebastian Depping3, Bram Stieltjes7, Klaus Maier-Hein8, Robert Christian Wolf9.   

Abstract

Major depressive disorder (MDD) and schizophrenia (SCZ) share neurobiological and clinical commonalities. Altered functional connectivity of large-scale brain networks has been associated with both disorders. Electroconvulsive therapy (ECT) has proven to be an effective treatment in severe forms of MDD and SCZ. However, the role of ECT on the modulation of the dynamics of brain networks is still unknown. In this study, we used resting state functional magnetic resonance imaging (rs-fMRI) to investigate functional connectivity in 16 pharmacoresistant patients with SCZ or MDD and a matched group of normal controls. Patients were scanned before and after right-sided unilateral ECT. Group spatial independent component analysis was carried out with a multiple analysis of covariance (MANCOVA) approach to estimate the effects of ECT treatment on intrinsic components (INs). Functional network connectivity (FNC) was calculated between pairs of INs. Patients had reduced connectivity within a striato-thalamic network in the thalamus as well as increased low frequency oscillations in a striatal network. ECT reduced low frequency oscillations (LFOs) on a striatal network along with increasing functional connectivity in the medial prefrontal cortex within the DMN. Following ECT treatment, the FNC of the executive network was reduced with the DMN and increased with the salience network, respectively. Our findings suggest transnosological effects of ECT on the connectivity of large-scale networks as well as at the level of their interplay. Furthermore, they support a transnosological approach for the investigation not only of the neural correlates of the disease but also of the brain mechanism of treatment of mental disorders.
Copyright © 2019 Elsevier B.V. and ECNP. All rights reserved.

Entities:  

Keywords:  Default mode network; Functional connectivity; Functional magnetic resonance imaging; Medial prefrontal cortex; Salience network

Year:  2019        PMID: 31279591     DOI: 10.1016/j.euroneuro.2019.06.002

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  5 in total

1.  Complete cognitive recovery in a severe case of anti-N-methyl-d-aspartate receptor encephalitis treated with electroconvulsive therapy.

Authors:  Cæcilie Leding; Lisbet Marstrand; Anders Jorgensen
Journal:  BMJ Case Rep       Date:  2020-02-06

2.  Whole-Brain Functional Connectivity Dynamics Associated With Electroconvulsive Therapy Treatment Response.

Authors:  Zening Fu; Jing Sui; Randall Espinoza; Katherine Narr; Shile Qi; Mohammad S E Sendi; Christopher C Abbott; Vince D Calhoun
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-07-23

3.  Systematic Review of the Neural Effect of Electroconvulsive Therapy in Patients with Schizophrenia: Hippocampus and Insula as the Key Regions of Modulation.

Authors:  Sun-Young Moon; Minah Kim; Silvia Kyungjin Lho; Sanghoon Oh; Se Hyun Kim; Jun Soo Kwon
Journal:  Psychiatry Investig       Date:  2021-06-24       Impact factor: 2.505

Review 4.  Brain imaging features in schizophrenia with co-occurring auditory verbal hallucinations and depressive symptoms-Implication for novel therapeutic strategies to alleviate the reciprocal deterioration.

Authors:  Chuanjun Zhuo; Tao Fang; Ce Chen; Min Chen; Yun Sun; Xiaoyan Ma; Ranli Li; Hongjun Tian; Jing Ping
Journal:  Brain Behav       Date:  2020-12-11       Impact factor: 3.405

5.  Intrinsic neural network dynamics in catatonia.

Authors:  Fabio Sambataro; Dusan Hirjak; Stefan Fritze; Katharina M Kubera; Georg Northoff; Vince D Calhoun; Andreas Meyer-Lindenberg; Robert C Wolf
Journal:  Hum Brain Mapp       Date:  2021-09-29       Impact factor: 5.038

  5 in total

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