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Nonlinear parameters of surface EMG in schizophrenia patients depend on kind of antipsychotic therapy

We compared a set of surface EMG (sEMG) parameters in several groups of schizophrenia (SZ, n = 74) patients and healthy controls (n = 11) and coupled them with the clinical data. sEMG records were quantified with spectral, mutual information (MI) based and recurrence quantification analysis (RQA) pa...

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Autores principales: Meigal, Alexander Yu., Miroshnichenko, German G., Kuzmina, Anna P., Rissanen, Saara M., Georgiadis, Stefanos D., Karjalainen, Pasi A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498039/
https://www.ncbi.nlm.nih.gov/pubmed/26217236
http://dx.doi.org/10.3389/fphys.2015.00197
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author Meigal, Alexander Yu.
Miroshnichenko, German G.
Kuzmina, Anna P.
Rissanen, Saara M.
Georgiadis, Stefanos D.
Karjalainen, Pasi A.
author_facet Meigal, Alexander Yu.
Miroshnichenko, German G.
Kuzmina, Anna P.
Rissanen, Saara M.
Georgiadis, Stefanos D.
Karjalainen, Pasi A.
author_sort Meigal, Alexander Yu.
collection PubMed
description We compared a set of surface EMG (sEMG) parameters in several groups of schizophrenia (SZ, n = 74) patients and healthy controls (n = 11) and coupled them with the clinical data. sEMG records were quantified with spectral, mutual information (MI) based and recurrence quantification analysis (RQA) parameters, and with approximate and sample entropies (ApEn and SampEn). Psychotic deterioration was estimated with Positive and Negative Syndrome Scale (PANSS) and with the positive subscale of PANSS. Neuroleptic-induced parkinsonism (NIP) motor symptoms were estimated with Simpson-Angus Scale (SAS). Dyskinesia was measured with Abnormal Involuntary Movement Scale (AIMS). We found that there was no difference in values of sEMG parameters between healthy controls and drug-naïve SZ patients. The most specific group was formed of SZ patients who were administered both typical and atypical antipsychotics (AP). Their sEMG parameters were significantly different from those of SZ patients taking either typical or atypical AP or taking no AP. This may represent a kind of synergistic effect of these two classes of AP. For the clinical data we found that PANSS, SAS, and AIMS were not correlated to any of the sEMG parameters. Conclusion: with nonlinear parameters of sEMG it is possible to reveal NIP in SZ patients, and it may help to discriminate between different clinical groups of SZ patients. Combined typical and atypical AP therapy has stronger effect on sEMG than a therapy with AP of only one class.
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spelling pubmed-44980392015-07-27 Nonlinear parameters of surface EMG in schizophrenia patients depend on kind of antipsychotic therapy Meigal, Alexander Yu. Miroshnichenko, German G. Kuzmina, Anna P. Rissanen, Saara M. Georgiadis, Stefanos D. Karjalainen, Pasi A. Front Physiol Physiology We compared a set of surface EMG (sEMG) parameters in several groups of schizophrenia (SZ, n = 74) patients and healthy controls (n = 11) and coupled them with the clinical data. sEMG records were quantified with spectral, mutual information (MI) based and recurrence quantification analysis (RQA) parameters, and with approximate and sample entropies (ApEn and SampEn). Psychotic deterioration was estimated with Positive and Negative Syndrome Scale (PANSS) and with the positive subscale of PANSS. Neuroleptic-induced parkinsonism (NIP) motor symptoms were estimated with Simpson-Angus Scale (SAS). Dyskinesia was measured with Abnormal Involuntary Movement Scale (AIMS). We found that there was no difference in values of sEMG parameters between healthy controls and drug-naïve SZ patients. The most specific group was formed of SZ patients who were administered both typical and atypical antipsychotics (AP). Their sEMG parameters were significantly different from those of SZ patients taking either typical or atypical AP or taking no AP. This may represent a kind of synergistic effect of these two classes of AP. For the clinical data we found that PANSS, SAS, and AIMS were not correlated to any of the sEMG parameters. Conclusion: with nonlinear parameters of sEMG it is possible to reveal NIP in SZ patients, and it may help to discriminate between different clinical groups of SZ patients. Combined typical and atypical AP therapy has stronger effect on sEMG than a therapy with AP of only one class. Frontiers Media S.A. 2015-07-10 /pmc/articles/PMC4498039/ /pubmed/26217236 http://dx.doi.org/10.3389/fphys.2015.00197 Text en Copyright © 2015 Meigal, Miroshnichenko, Kuzmina, Rissanen, Georgiadis and Karjalainen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Meigal, Alexander Yu.
Miroshnichenko, German G.
Kuzmina, Anna P.
Rissanen, Saara M.
Georgiadis, Stefanos D.
Karjalainen, Pasi A.
Nonlinear parameters of surface EMG in schizophrenia patients depend on kind of antipsychotic therapy
title Nonlinear parameters of surface EMG in schizophrenia patients depend on kind of antipsychotic therapy
title_full Nonlinear parameters of surface EMG in schizophrenia patients depend on kind of antipsychotic therapy
title_fullStr Nonlinear parameters of surface EMG in schizophrenia patients depend on kind of antipsychotic therapy
title_full_unstemmed Nonlinear parameters of surface EMG in schizophrenia patients depend on kind of antipsychotic therapy
title_short Nonlinear parameters of surface EMG in schizophrenia patients depend on kind of antipsychotic therapy
title_sort nonlinear parameters of surface emg in schizophrenia patients depend on kind of antipsychotic therapy
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4498039/
https://www.ncbi.nlm.nih.gov/pubmed/26217236
http://dx.doi.org/10.3389/fphys.2015.00197
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