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Resting State EEG as an Indicator of Cognitive Training Effect in Older Adults. / Volf, N. V.; Privodnova, E. Yu; Volf, N. V.

11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 117-119 8544796.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Volf, NV, Privodnova, EY & Volf, NV 2018, Resting State EEG as an Indicator of Cognitive Training Effect in Older Adults. in 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings., 8544796, Institute of Electrical and Electronics Engineers Inc., pp. 117-119, 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018, Novosibirsk, Russian Federation, 20.08.2018. https://doi.org/10.1109/CSGB.2018.8544796

APA

Volf, N. V., Privodnova, E. Y., & Volf, N. V. (2018). Resting State EEG as an Indicator of Cognitive Training Effect in Older Adults. In 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings (pp. 117-119). [8544796] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSGB.2018.8544796

Vancouver

Volf NV, Privodnova EY, Volf NV. Resting State EEG as an Indicator of Cognitive Training Effect in Older Adults. In 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 117-119. 8544796 doi: 10.1109/CSGB.2018.8544796

Author

Volf, N. V. ; Privodnova, E. Yu ; Volf, N. V. / Resting State EEG as an Indicator of Cognitive Training Effect in Older Adults. 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 117-119

BibTeX

@inproceedings{934137259f00404c8c439a189c610de1,
title = "Resting State EEG as an Indicator of Cognitive Training Effect in Older Adults",
abstract = "Although there are common principles that can be demonstrated in cognitive aging, enormous variability exists across individuals. Among other factors inter-individual variability is attributable to involvement in mental activity. The purpose of this study is to outline the changes of resting state EEG in aged men and women associated with difference in intellectual environment of their professional activity. Elderly (age 63.8, N=112) scientists (SA) and people unrelated to professional scientific activity (NSA) participated in the study. All subjects were employed full time. EEG was recorded from 26 symmetrical regions of the hemispheres in a states with closed and with open eyes. Power spectral density was calculated in delta, theta, alpha 1, 2, 3, beta 1, 2 and gamma frequency ranges. The bandwidths for the frequency bands were defined using individual alpha peak frequency as the anchor point. In condition with closed eyes, ANOVA revealed significant gender × frequency band × region × group (SA, NSA) interaction. Testing of interaction demonstrated effects in alpha 2, 3 rhythms power characterized by opposite changes of antero-posterior spectral power gradients in SA and NSA groups of men and women. There was no difference between SA and NSA groups in frontal power density. Among women members of SA group had lower posterior power than those of NSA group. In eyes open condition, significant asymmetry due to higher power values in right in comparison with left hemisphere in frontal region was found in SA group. Asymmetry of power values was not revealed in NSA.",
keywords = "gender difference, intellectual activity, older adults, resting state EEG",
author = "Volf, {N. V.} and Privodnova, {E. Yu} and Volf, {N. V.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 ; Conference date: 20-08-2018 Through 25-08-2018",
year = "2018",
month = nov,
day = "26",
doi = "10.1109/CSGB.2018.8544796",
language = "English",
pages = "117--119",
booktitle = "11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Resting State EEG as an Indicator of Cognitive Training Effect in Older Adults

AU - Volf, N. V.

AU - Privodnova, E. Yu

AU - Volf, N. V.

N1 - Publisher Copyright: © 2018 IEEE.

PY - 2018/11/26

Y1 - 2018/11/26

N2 - Although there are common principles that can be demonstrated in cognitive aging, enormous variability exists across individuals. Among other factors inter-individual variability is attributable to involvement in mental activity. The purpose of this study is to outline the changes of resting state EEG in aged men and women associated with difference in intellectual environment of their professional activity. Elderly (age 63.8, N=112) scientists (SA) and people unrelated to professional scientific activity (NSA) participated in the study. All subjects were employed full time. EEG was recorded from 26 symmetrical regions of the hemispheres in a states with closed and with open eyes. Power spectral density was calculated in delta, theta, alpha 1, 2, 3, beta 1, 2 and gamma frequency ranges. The bandwidths for the frequency bands were defined using individual alpha peak frequency as the anchor point. In condition with closed eyes, ANOVA revealed significant gender × frequency band × region × group (SA, NSA) interaction. Testing of interaction demonstrated effects in alpha 2, 3 rhythms power characterized by opposite changes of antero-posterior spectral power gradients in SA and NSA groups of men and women. There was no difference between SA and NSA groups in frontal power density. Among women members of SA group had lower posterior power than those of NSA group. In eyes open condition, significant asymmetry due to higher power values in right in comparison with left hemisphere in frontal region was found in SA group. Asymmetry of power values was not revealed in NSA.

AB - Although there are common principles that can be demonstrated in cognitive aging, enormous variability exists across individuals. Among other factors inter-individual variability is attributable to involvement in mental activity. The purpose of this study is to outline the changes of resting state EEG in aged men and women associated with difference in intellectual environment of their professional activity. Elderly (age 63.8, N=112) scientists (SA) and people unrelated to professional scientific activity (NSA) participated in the study. All subjects were employed full time. EEG was recorded from 26 symmetrical regions of the hemispheres in a states with closed and with open eyes. Power spectral density was calculated in delta, theta, alpha 1, 2, 3, beta 1, 2 and gamma frequency ranges. The bandwidths for the frequency bands were defined using individual alpha peak frequency as the anchor point. In condition with closed eyes, ANOVA revealed significant gender × frequency band × region × group (SA, NSA) interaction. Testing of interaction demonstrated effects in alpha 2, 3 rhythms power characterized by opposite changes of antero-posterior spectral power gradients in SA and NSA groups of men and women. There was no difference between SA and NSA groups in frontal power density. Among women members of SA group had lower posterior power than those of NSA group. In eyes open condition, significant asymmetry due to higher power values in right in comparison with left hemisphere in frontal region was found in SA group. Asymmetry of power values was not revealed in NSA.

KW - gender difference

KW - intellectual activity

KW - older adults

KW - resting state EEG

UR - http://www.scopus.com/inward/record.url?scp=85059763801&partnerID=8YFLogxK

U2 - 10.1109/CSGB.2018.8544796

DO - 10.1109/CSGB.2018.8544796

M3 - Conference contribution

AN - SCOPUS:85059763801

SP - 117

EP - 119

BT - 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018

Y2 - 20 August 2018 through 25 August 2018

ER -

ID: 18118912