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Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders

There are still no good quantitative methods to be applied in psychiatric diagnosis. The interview is still the main and most important tool in the psychiatrist work. This paper presents the results of electroencephalographic research with the subjects of a group of 30 patients with psychiatric diso...

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Autores principales: Wojcik, Grzegorz M., Masiak, Jolanta, Kawiak, Andrzej, Kwasniewicz, Lukasz, Schneider, Piotr, Polak, Nikodem, Gajos-Balinska, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207640/
https://www.ncbi.nlm.nih.gov/pubmed/30405386
http://dx.doi.org/10.3389/fninf.2018.00073
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author Wojcik, Grzegorz M.
Masiak, Jolanta
Kawiak, Andrzej
Kwasniewicz, Lukasz
Schneider, Piotr
Polak, Nikodem
Gajos-Balinska, Anna
author_facet Wojcik, Grzegorz M.
Masiak, Jolanta
Kawiak, Andrzej
Kwasniewicz, Lukasz
Schneider, Piotr
Polak, Nikodem
Gajos-Balinska, Anna
author_sort Wojcik, Grzegorz M.
collection PubMed
description There are still no good quantitative methods to be applied in psychiatric diagnosis. The interview is still the main and most important tool in the psychiatrist work. This paper presents the results of electroencephalographic research with the subjects of a group of 30 patients with psychiatric disorders compared to the control group of healthy volunteers. All subjects were solving working memory task. The digit-span working memory task test was chosen as one of the most popular tasks given to subjects with cognitive dysfunctions, especially for the patients with panic disorders, depression (including the depressive phase of bipolar disorder), phobias, and schizophrenia. Having such cohort of patients some results for the subjects with insomnia and Asperger syndrome are also presented. The cortical activity of their brains was registered by the dense array EEG amplifier. Source localization using the photogrammetry station and the sLORETA algorithm was then performed in five EEG frequency bands. The most active Brodmann Areas are indicated. Methodology for mapping the brain and research protocol are presented. The first results indicate that the presented technique can be useful in finding psychiatric disorder neurophysiological biomarkers. The first attempts were made to associate hyperactivity of selected Brodmann Areas with particular disorders.
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spelling pubmed-62076402018-11-07 Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders Wojcik, Grzegorz M. Masiak, Jolanta Kawiak, Andrzej Kwasniewicz, Lukasz Schneider, Piotr Polak, Nikodem Gajos-Balinska, Anna Front Neuroinform Neuroscience There are still no good quantitative methods to be applied in psychiatric diagnosis. The interview is still the main and most important tool in the psychiatrist work. This paper presents the results of electroencephalographic research with the subjects of a group of 30 patients with psychiatric disorders compared to the control group of healthy volunteers. All subjects were solving working memory task. The digit-span working memory task test was chosen as one of the most popular tasks given to subjects with cognitive dysfunctions, especially for the patients with panic disorders, depression (including the depressive phase of bipolar disorder), phobias, and schizophrenia. Having such cohort of patients some results for the subjects with insomnia and Asperger syndrome are also presented. The cortical activity of their brains was registered by the dense array EEG amplifier. Source localization using the photogrammetry station and the sLORETA algorithm was then performed in five EEG frequency bands. The most active Brodmann Areas are indicated. Methodology for mapping the brain and research protocol are presented. The first results indicate that the presented technique can be useful in finding psychiatric disorder neurophysiological biomarkers. The first attempts were made to associate hyperactivity of selected Brodmann Areas with particular disorders. Frontiers Media S.A. 2018-10-24 /pmc/articles/PMC6207640/ /pubmed/30405386 http://dx.doi.org/10.3389/fninf.2018.00073 Text en Copyright © 2018 Wojcik, Masiak, Kawiak, Kwasniewicz, Schneider, Polak and Gajos-Balinska. 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) and the copyright owner(s) 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 Neuroscience
Wojcik, Grzegorz M.
Masiak, Jolanta
Kawiak, Andrzej
Kwasniewicz, Lukasz
Schneider, Piotr
Polak, Nikodem
Gajos-Balinska, Anna
Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders
title Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders
title_full Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders
title_fullStr Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders
title_full_unstemmed Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders
title_short Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders
title_sort mapping the human brain in frequency band analysis of brain cortex electroencephalographic activity for selected psychiatric disorders
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207640/
https://www.ncbi.nlm.nih.gov/pubmed/30405386
http://dx.doi.org/10.3389/fninf.2018.00073
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