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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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 |
work_keys_str_mv |
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