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High-frequency rTMS in the treatment of depressive symptoms in schizophrenia: a neurophysiological profile of respondents and nonresponders

Published online by Cambridge University Press:  01 September 2022

V. Kaleda ,
A. Pomytkin  and
I. Lebedeva
V. Kaleda*
Affiliation:
FSBSI «Mental Health Research Centre», Department Of Youth Psychiatry, Moscow, Russian Federation
A. Pomytkin
Affiliation:
FSBSI «Mental Health Research Centre», Department Of Youth Psychiatry, Moscow, Russian Federation
I. Lebedeva
Affiliation:
FSBSI «Mental Health Research Centre», Lab.neuroimaging And Multimodal Analysis, Moscow, Russian Federation
*
*Corresponding author.

Abstract

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Introduction

Depressive symptoms in schizophrenia have a high prevalence – up to 20-60 %, at the different illness stages. Non-pharmacological treatment, namely rTMS, seems like a promising approach that lacks side-effects typical for antidepressants. RTMS is widely applied in the treatment of depression, however the studies within schizophrenia domain are still rather few

Objectives

The aim was to examine a potential of neurophysiological data for prediction of the effects of rTMS in the treatment of patients with schizophrenia with depressive symptoms

Methods

20 male patients with schizophrenia (F20.004, F20.014, F20.414, ICD–10) were examined at the stage of incomplete remission with predominance of prolonged (more than 6 months) treatment resistant depressive symptoms. An examination (clinical and neurophysiological (oddball ERP and EEG) fragments)) was repeated twice - before and after a course of 10 Hz rTMS (left DLPC, 2000 pulses per session, 15 sessions).

Results

Poor outcome was associated with initially higher coherence in alpha and lower - in beta1 EEG bands. The amplitudes of non-target N100 and mismatch negativity didn’t differ the groups of responders and nonresponders

Conclusions

The disturbances within brain networks of beta1 and alpha generators merit attention as potential neurophysiological markers with predictive value in rTMS treatment of patients with schizophrenia with depressive symptoms.

Disclosure

No significant relationships.

Keywords

TMSschizophréniaDepressionEEG
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S774
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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