ICBrainDB: An Integrated Database for Finding Associations between Genetic Factors and EEG Markers of Depressive Disorders

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ICBrainDB: An Integrated Database for Finding Associations between Genetic Factors and EEG Markers of Depressive Disorders. / Ivanov, Roman; Kazantsev, Fedor; Zavarzin, Evgeny и др.

в: Journal of Personalized Medicine, Том 12, № 1, 53, 01.2022.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

BibTeX

@article{2de6a926f15649689e1a599f77731878,

title = "ICBrainDB: An Integrated Database for Finding Associations between Genetic Factors and EEG Markers of Depressive Disorders",

abstract = "In this study, we collected and systemized diverse information related to depressive and anxiety disorders as the first step on the way to investigate the associations between molecular genetics, electrophysiological, behavioral, and psychological characteristics of people. Keeping that in mind, we developed an internet resource including a database and tools for primary presentation of the collected data of genetic factors, the results of electroencephalography (EEG) tests, and psychological questionnaires. The sample of our study was 1010 people from different regions of Russia. We created the integrated ICBrainDB database that enables users to easily access, download, and further process information about individual behavioral characteristics and psychophysiological responses along with inherited trait data. The data obtained can be useful in training neural networks and in machine learning construction processes in Big Data analysis. We believe that the existence of such a resource will play an important role in the further search for associations of genetic factors and EEG markers of depression.",

keywords = "Database, Depression, EEG, Questionnaires, SNP",

author = "Roman Ivanov and Fedor Kazantsev and Evgeny Zavarzin and Alexandra Klimenko and Natalya Milakhina and Matushkin, {Yury G.} and Alexander Savostyanov and Sergey Lashin",

note = "Funding Information: Funding: The research was funded by the Russian Foundation for Basic Research (RFBR) grant No 18-29-13027 and the budgetary projects of the Institute Cytology and Genetics of SB RAS (numbers of State registration: AAAA-A19-119101090031-8, 121031300209-8). Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = jan,

doi = "10.3390/jpm12010053",

language = "English",

volume = "12",

journal = "Journal of Personalized Medicine",

issn = "2075-4426",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "1",

}

RIS

TY - JOUR

T1 - ICBrainDB: An Integrated Database for Finding Associations between Genetic Factors and EEG Markers of Depressive Disorders

AU - Ivanov, Roman

AU - Kazantsev, Fedor

AU - Zavarzin, Evgeny

AU - Klimenko, Alexandra

AU - Milakhina, Natalya

AU - Matushkin, Yury G.

AU - Savostyanov, Alexander

AU - Lashin, Sergey

N1 - Funding Information: Funding: The research was funded by the Russian Foundation for Basic Research (RFBR) grant No 18-29-13027 and the budgetary projects of the Institute Cytology and Genetics of SB RAS (numbers of State registration: AAAA-A19-119101090031-8, 121031300209-8). Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2022/1

Y1 - 2022/1

N2 - In this study, we collected and systemized diverse information related to depressive and anxiety disorders as the first step on the way to investigate the associations between molecular genetics, electrophysiological, behavioral, and psychological characteristics of people. Keeping that in mind, we developed an internet resource including a database and tools for primary presentation of the collected data of genetic factors, the results of electroencephalography (EEG) tests, and psychological questionnaires. The sample of our study was 1010 people from different regions of Russia. We created the integrated ICBrainDB database that enables users to easily access, download, and further process information about individual behavioral characteristics and psychophysiological responses along with inherited trait data. The data obtained can be useful in training neural networks and in machine learning construction processes in Big Data analysis. We believe that the existence of such a resource will play an important role in the further search for associations of genetic factors and EEG markers of depression.

AB - In this study, we collected and systemized diverse information related to depressive and anxiety disorders as the first step on the way to investigate the associations between molecular genetics, electrophysiological, behavioral, and psychological characteristics of people. Keeping that in mind, we developed an internet resource including a database and tools for primary presentation of the collected data of genetic factors, the results of electroencephalography (EEG) tests, and psychological questionnaires. The sample of our study was 1010 people from different regions of Russia. We created the integrated ICBrainDB database that enables users to easily access, download, and further process information about individual behavioral characteristics and psychophysiological responses along with inherited trait data. The data obtained can be useful in training neural networks and in machine learning construction processes in Big Data analysis. We believe that the existence of such a resource will play an important role in the further search for associations of genetic factors and EEG markers of depression.

KW - Database

KW - Depression

KW - EEG

KW - Questionnaires

KW - SNP

UR - http://www.scopus.com/inward/record.url?scp=85122758658&partnerID=8YFLogxK

UR - https://www.elibrary.ru/item.asp?id=48142682

U2 - 10.3390/jpm12010053

DO - 10.3390/jpm12010053

M3 - Article

C2 - 35055368

AN - SCOPUS:85122758658

VL - 12

JO - Journal of Personalized Medicine

JF - Journal of Personalized Medicine

SN - 2075-4426

IS - 1

M1 - 53

ER -

ID: 35244020