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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Main Authors: Grzegorz M. Wojcik, Jolanta Masiak, Andrzej Kawiak, Lukasz Kwasniewicz, Piotr Schneider, Nikodem Polak, Anna Gajos-Balinska
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Neuroinformatics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2018.00073/full
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spelling doaj-b12db36754d54e449d22a57b4e8fd1242020-11-24T20:45:31ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962018-10-011210.3389/fninf.2018.00073368426Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric DisordersGrzegorz M. Wojcik0Jolanta Masiak1Andrzej Kawiak2Lukasz Kwasniewicz3Piotr Schneider4Nikodem Polak5Anna Gajos-Balinska6Department of Neuroinformatics, Faculty of Mathematics, Physics and Computer Science, Institute of Computer Science, Maria Curie-Sklodowska University in Lublin, Lublin, PolandNeurophysiological Independent Unit of the Department of Psychiatry, Medical University of Lublin, Lublin, PolandDepartment of Neuroinformatics, Faculty of Mathematics, Physics and Computer Science, Institute of Computer Science, Maria Curie-Sklodowska University in Lublin, Lublin, PolandDepartment of Neuroinformatics, Faculty of Mathematics, Physics and Computer Science, Institute of Computer Science, Maria Curie-Sklodowska University in Lublin, Lublin, PolandDepartment of Neuroinformatics, Faculty of Mathematics, Physics and Computer Science, Institute of Computer Science, Maria Curie-Sklodowska University in Lublin, Lublin, PolandDepartment of Neuroinformatics, Faculty of Mathematics, Physics and Computer Science, Institute of Computer Science, Maria Curie-Sklodowska University in Lublin, Lublin, PolandDepartment of Neuroinformatics, Faculty of Mathematics, Physics and Computer Science, Institute of Computer Science, Maria Curie-Sklodowska University in Lublin, Lublin, PolandThere 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.https://www.frontiersin.org/article/10.3389/fninf.2018.00073/fullelectroencephalographysLORETApsychiatric disordersfrequency band analysisbiomarkersworking memory
collection DOAJ
language English
format Article
sources DOAJ
author Grzegorz M. Wojcik
Jolanta Masiak
Andrzej Kawiak
Lukasz Kwasniewicz
Piotr Schneider
Nikodem Polak
Anna Gajos-Balinska
spellingShingle Grzegorz M. Wojcik
Jolanta Masiak
Andrzej Kawiak
Lukasz Kwasniewicz
Piotr Schneider
Nikodem Polak
Anna Gajos-Balinska
Mapping the Human Brain in Frequency Band Analysis of Brain Cortex Electroencephalographic Activity for Selected Psychiatric Disorders
Frontiers in Neuroinformatics
electroencephalography
sLORETA
psychiatric disorders
frequency band analysis
biomarkers
working memory
author_facet Grzegorz M. Wojcik
Jolanta Masiak
Andrzej Kawiak
Lukasz Kwasniewicz
Piotr Schneider
Nikodem Polak
Anna Gajos-Balinska
author_sort Grzegorz M. Wojcik
title 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_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_sort mapping the human brain in frequency band analysis of brain cortex electroencephalographic activity for selected psychiatric disorders
publisher Frontiers Media S.A.
series Frontiers in Neuroinformatics
issn 1662-5196
publishDate 2018-10-01
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.
topic electroencephalography
sLORETA
psychiatric disorders
frequency band analysis
biomarkers
working memory
url https://www.frontiersin.org/article/10.3389/fninf.2018.00073/full
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