Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Verification Method of Hypothesis Based on Different EEG Data Statistical Processing. / Merkulova, Ekaterina A.; Ladonovskaya, Kseniya V.; Bocharov, Andrey V. и др.
Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society, 2022. стр. 525-529 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; Том 2022-June).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Verification Method of Hypothesis Based on Different EEG Data Statistical Processing
AU - Merkulova, Ekaterina A.
AU - Ladonovskaya, Kseniya V.
AU - Bocharov, Andrey V.
AU - Kozulin, Igor A.
N1 - Funding Information: ACKNOWLEDGMENT The study was supported by the Russian Science Foundation (RSF) No 22-25-00735. Publisher Copyright: © 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The paper describes a method for hypotheses proving based on statistical processing of heterogeneous EEG data by means of mediation analysis. The methodological research basis is a multilevel mediation analysis, in which the independent variable is the emotional stimulus category, the mediator is the spectral power of the brain activity sources, and the dependent variable is the behavioral response to the stimulus. In this article there are described the following methods: primary processing of the obtained data (artifacts removing, unification, interpolation) by the toolset of MATLAB scripts software packages (EEGLAB, Mediation toolbox, SPM12, Neuroelf); localization of EEG-signal sources using the sLoreta package; mediation analysis (multilevel mediation analysis toolbox MATLAB), including regression analysis (linear regression method, SPSS Statistics; statistical analysis by statistical parametric mapping using the SPM12 software package; multivariate analysis (ANOVA method, SPSS Statistics); methods of structural programming for creating scenarios (scripts) of group data processing in the MATLAB software package.
AB - The paper describes a method for hypotheses proving based on statistical processing of heterogeneous EEG data by means of mediation analysis. The methodological research basis is a multilevel mediation analysis, in which the independent variable is the emotional stimulus category, the mediator is the spectral power of the brain activity sources, and the dependent variable is the behavioral response to the stimulus. In this article there are described the following methods: primary processing of the obtained data (artifacts removing, unification, interpolation) by the toolset of MATLAB scripts software packages (EEGLAB, Mediation toolbox, SPM12, Neuroelf); localization of EEG-signal sources using the sLoreta package; mediation analysis (multilevel mediation analysis toolbox MATLAB), including regression analysis (linear regression method, SPSS Statistics; statistical analysis by statistical parametric mapping using the SPM12 software package; multivariate analysis (ANOVA method, SPSS Statistics); methods of structural programming for creating scenarios (scripts) of group data processing in the MATLAB software package.
KW - electroencephalogram
KW - hypothesis testing
KW - mediation analysis
KW - processing of experimental data
KW - social interaction model
UR - http://www.scopus.com/inward/record.url?scp=85137332718&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/555fa7d0-8c9a-38a9-9bbb-3220002a196b/
U2 - 10.1109/EDM55285.2022.9855178
DO - 10.1109/EDM55285.2022.9855178
M3 - Conference contribution
AN - SCOPUS:85137332718
SN - 9781665498043
T3 - International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
SP - 525
EP - 529
BT - Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022
PB - IEEE Computer Society
T2 - 23rd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2022
Y2 - 30 June 2022 through 4 July 2022
ER -
ID: 37141815