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High-frequency rTMS in the treatment of depressive symptoms in schizophrenia: a neurophysiological profile of respondents and nonresponders
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 depr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567973/ http://dx.doi.org/10.1192/j.eurpsy.2022.1999 |
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author | Kaleda, V. Pomytkin, A. Lebedeva, I. |
author_facet | Kaleda, V. Pomytkin, A. Lebedeva, I. |
author_sort | Kaleda, V. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9567973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95679732022-10-17 High-frequency rTMS in the treatment of depressive symptoms in schizophrenia: a neurophysiological profile of respondents and nonresponders Kaleda, V. Pomytkin, A. Lebedeva, I. Eur Psychiatry Abstract 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. Cambridge University Press 2022-09-01 /pmc/articles/PMC9567973/ http://dx.doi.org/10.1192/j.eurpsy.2022.1999 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Abstract Kaleda, V. Pomytkin, A. Lebedeva, I. High-frequency rTMS in the treatment of depressive symptoms in schizophrenia: a neurophysiological profile of respondents and nonresponders |
title | High-frequency rTMS in the treatment of depressive symptoms in schizophrenia: a neurophysiological profile of respondents and nonresponders |
title_full | High-frequency rTMS in the treatment of depressive symptoms in schizophrenia: a neurophysiological profile of respondents and nonresponders |
title_fullStr | High-frequency rTMS in the treatment of depressive symptoms in schizophrenia: a neurophysiological profile of respondents and nonresponders |
title_full_unstemmed | High-frequency rTMS in the treatment of depressive symptoms in schizophrenia: a neurophysiological profile of respondents and nonresponders |
title_short | High-frequency rTMS in the treatment of depressive symptoms in schizophrenia: a neurophysiological profile of respondents and nonresponders |
title_sort | high-frequency rtms in the treatment of depressive symptoms in schizophrenia: a neurophysiological profile of respondents and nonresponders |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567973/ http://dx.doi.org/10.1192/j.eurpsy.2022.1999 |
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