Literature DB >> 31276755

Mental workload of young and older adults gauged with ERPs and spectral power during N-Back task performance.

Valentina Pergher1, Benjamin Wittevrongel2, Jos Tournoy3, Birgitte Schoenmakers4, Marc M Van Hulle2.   

Abstract

Mental workload has been shown to correlate with alpha and theta band power but only few EEG studies focused on the relation between these bands and Event Related Potentials (ERPs), more specifically the P300 component. We report on an EEG study on mental workload where not only young but also older adults performed an N-Back task. Participants watched a sequence of visual pictures and indicated whether the current picture was the same as the one shown N pictures before. We considered N = 4 difficulty levels and analyzed the relation between these and P300 amplitude and theta and alpha band power, and also examined the effect of age, level of education, work activities, and task accuracy. Our results revealed a decrease in P300 amplitude and alpha band activity for higher difficulty levels for young adults in the parietal region. However, for older adults, fatigue played a more important role than we could anticipate as the alpha band power increased for the highest task difficulty level, and since performance accuracy also decreased, it could even be a sign of task disengagement. Beside alpha band, theta band activity showed a positive correlation with task difficulty level for both young and older adults. Additionally, we found higher P300 amplitudes for young adults compared to older adults, in line with their higher performance accuracies and lower reaction times. In conclusion, we showed that P300 amplitude and alpha and theta bands power provide complementary information for judging mental workload during N-Back performance for young and older subjects and for detecting mental fatigue and task disengagement.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alpha theta bands; EEG; Mental workload; N-Back task; P300-ERP; Young older adults

Year:  2019        PMID: 31276755     DOI: 10.1016/j.biopsycho.2019.107726

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  6 in total

1.  Real-time prediction of short-timescale fluctuations in cognitive workload.

Authors:  Udo Boehm; Dora Matzke; Matthew Gretton; Spencer Castro; Joel Cooper; Michael Skinner; David Strayer; Andrew Heathcote
Journal:  Cogn Res Princ Implic       Date:  2021-04-09

2.  The Effect of Mental Fatigue and Gender on Working Memory Performance during Repeated Practice by Young and Older Adults.

Authors:  Valentina Pergher; Nele Vanbilsen; Marc Van Hulle
Journal:  Neural Plast       Date:  2021-10-04       Impact factor: 3.599

3.  Effects of Audiovisual Interactions on Working Memory Task Performance-Interference or Facilitation.

Authors:  Yang He; Zhihua Guo; Xinlu Wang; Kewei Sun; Xinxin Lin; Xiuchao Wang; Fengzhan Li; Yaning Guo; Tingwei Feng; Junpeng Zhang; Congchong Li; Wenqing Tian; Xufeng Liu; Shengjun Wu
Journal:  Brain Sci       Date:  2022-07-06

4.  Effects of aging on neural processing during an active listening task.

Authors:  Abin Kuruvilla-Mathew; Peter R Thorne; Suzanne C Purdy
Journal:  PLoS One       Date:  2022-09-07       Impact factor: 3.752

5.  N-Back Related ERPs Depend on Stimulus Type, Task Structure, Pre-processing, and Lab Factors.

Authors:  Mahsa Alizadeh Shalchy; Valentina Pergher; Anja Pahor; Marc M Van Hulle; Aaron R Seitz
Journal:  Front Hum Neurosci       Date:  2020-10-28       Impact factor: 3.169

6.  Optimized electroencephalogram and functional near-infrared spectroscopy-based mental workload detection method for practical applications.

Authors:  Hongzuo Chu; Yong Cao; Jin Jiang; Jiehong Yang; Mengyin Huang; Qijie Li; Changhua Jiang; Xuejun Jiao
Journal:  Biomed Eng Online       Date:  2022-02-02       Impact factor: 2.819

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.