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