Verification Method of Hypothesis Based on Different EEG Data Statistical Processing

Standard

Verification Method of Hypothesis Based on Different EEG Data Statistical Processing. / Merkulova, Ekaterina A.; Ladonovskaya, Kseniya V.; Bocharov, Andrey V. et al.

Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society, 2022. p. 525-529 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; Vol. 2022-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Merkulova, EA, Ladonovskaya, KV, Bocharov, AV & Kozulin, IA 2022, Verification Method of Hypothesis Based on Different EEG Data Statistical Processing. in Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM, vol. 2022-June, IEEE Computer Society, pp. 525-529, 23rd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2022, Altai, Russian Federation, 30.06.2022. https://doi.org/10.1109/EDM55285.2022.9855178

APA

Merkulova, E. A., Ladonovskaya, K. V., Bocharov, A. V., & Kozulin, I. A. (2022). Verification Method of Hypothesis Based on Different EEG Data Statistical Processing. In Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022 (pp. 525-529). (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; Vol. 2022-June). IEEE Computer Society. https://doi.org/10.1109/EDM55285.2022.9855178

Vancouver

Merkulova EA, Ladonovskaya KV, Bocharov AV , Kozulin IA. Verification Method of Hypothesis Based on Different EEG Data Statistical Processing. In Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society. 2022. p. 525-529. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM). doi: 10.1109/EDM55285.2022.9855178

Author

Merkulova, Ekaterina A. ; Ladonovskaya, Kseniya V. ; Bocharov, Andrey V. et al. / Verification Method of Hypothesis Based on Different EEG Data Statistical Processing. Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022. IEEE Computer Society, 2022. pp. 525-529 (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

BibTeX

@inproceedings{9c2ab425603d45ecb84fefd8e419640c,

title = "Verification Method of Hypothesis Based on Different EEG Data Statistical Processing",

abstract = "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. ",

keywords = "electroencephalogram, hypothesis testing, mediation analysis, processing of experimental data, social interaction model",

author = "Merkulova, {Ekaterina A.} and Ladonovskaya, {Kseniya V.} and Bocharov, {Andrey V.} and Kozulin, {Igor A.}",

note = "Funding Information: ACKNOWLEDGMENT The study was supported by the Russian Science Foundation (RSF) No 22-25-00735. Publisher Copyright: {\textcopyright} 2022 IEEE.; 23rd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2022 ; Conference date: 30-06-2022 Through 04-07-2022",

year = "2022",

doi = "10.1109/EDM55285.2022.9855178",

language = "English",

isbn = "9781665498043",

series = "International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM",

publisher = "IEEE Computer Society",

pages = "525--529",

booktitle = "Proceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022",

address = "United States",

}

RIS

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.

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