TY - GEN
T1 - Novel single-channel EEG features correlate with working memory load
AU - Maimon, Neta B.
AU - Molcho, Lior
AU - Intrator, Nathan
AU - Lamy, Dominique
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021/3/9
Y1 - 2021/3/9
N2 - Working Memory (WM) load is a cognitive feature, which is highly correlated with mental effort. Theta power, among other neurological biomarkers, shows increased activity with increasing WM load. These correspondences frequently break down in individuals with cognitive decline, making WM load biomarkers a potentially valuable tool for early detection of cognitive impairment. However, such studies used multiple-channel EEG headsets, which are not easy to use and accessible. Here we used a single-channel EEG set (Aurora by Neurosteer®) and evaluated the ability of novel features, previously extracted on a different dataset, to serve as WM load biomarkers. In a single experiment, fourteen participants underscored the widely used n-back task while their brain activity was recorded with the mobile EEG device. Frontal theta power, as well as two novel features, significantly correlated with the levels of WM load. However, the two novel features exhibited higher sensitivity to lower WM load changes. These more sensitive biomarkers of WM load are a promising tool for mass screening of mild cognitive impairment.
AB - Working Memory (WM) load is a cognitive feature, which is highly correlated with mental effort. Theta power, among other neurological biomarkers, shows increased activity with increasing WM load. These correspondences frequently break down in individuals with cognitive decline, making WM load biomarkers a potentially valuable tool for early detection of cognitive impairment. However, such studies used multiple-channel EEG headsets, which are not easy to use and accessible. Here we used a single-channel EEG set (Aurora by Neurosteer®) and evaluated the ability of novel features, previously extracted on a different dataset, to serve as WM load biomarkers. In a single experiment, fourteen participants underscored the widely used n-back task while their brain activity was recorded with the mobile EEG device. Frontal theta power, as well as two novel features, significantly correlated with the levels of WM load. However, the two novel features exhibited higher sensitivity to lower WM load changes. These more sensitive biomarkers of WM load are a promising tool for mass screening of mild cognitive impairment.
KW - EEG
KW - Machine learning
KW - Mental load
UR - https://www.scopus.com/pages/publications/85104586142
U2 - 10.1109/LifeTech52111.2021.9391963
DO - 10.1109/LifeTech52111.2021.9391963
M3 - Conference contribution
T3 - LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
SP - 471
EP - 472
BT - LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021
Y2 - 9 March 2021 through 11 March 2021
ER -