TY - JOUR
T1 - Measurement of attentional reserve and mental effort for cognitive workload assessment under various task demands during dual-task walking
AU - Shaw, Emma P.
AU - Rietschel, Jeremy C.
AU - Hendershot, Brad D.
AU - Pruziner, Alison L.
AU - Miller, Matthew W.
AU - Hatfield, Bradley D.
AU - Gentili, Rodolphe J.
N1 - Funding Information:
The authors wish to thank very much Dr. Li-Chuan Lo (University of Maryland) and Mr. Kyle Jaquess (University of Maryland) for their assistance with data collection. The authors would also like to thank very much Ms. Vanessa Gatmaitan, MS, (WRNMMC) for operating the CAREN system during data collections, as well as, Dr. Keith R. Lohse (Auburn University) for conducting the mixed-effect linear regressions on the ERP, spectral, and performance data. This work was supported by the Center for Rehabilitation Sciences Research, Department of Physical Medicine and Rehabilitation, Uniformed Services University of Health Sciences, Bethesda, MD (award no. NF90UG) and the DoD-VA Extremity Trauma & Amputation Center of Excellence (Public Law 110-417, National Defense Authorization Act 2009, Section 723).
Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/4
Y1 - 2018/4
N2 - Previous work focused on cognitive workload assessment suggests EEG spectral content and component amplitudes of the event-related potential (ERP) waveform may index mental effort and attentional reserve, respectively. Although few studies have assessed attentional reserve and mental effort during upper-extremity performance, none have employed a combined approach to measure cognitive workload during locomotion. Therefore, by systematically considering ERPs, spectral content and importantly their combination, this study aimed to examine whether concurrent changes in spectral content and ERPs could collectively serve as an index of cognitive workload during locomotion. Specifically, ERP and EEG biomarkers were assessed as participants performed a cognitive task under two levels of difficulty (easy or hard) and two conditions (seated or walking). Changes in attentional reserve and mental effort appeared to collectively index cognitive workload under varying demands due to changes in task difficulty or performance conditions. This work can inform cognitive workload assessment in patient populations with gait deficiencies for future applications.
AB - Previous work focused on cognitive workload assessment suggests EEG spectral content and component amplitudes of the event-related potential (ERP) waveform may index mental effort and attentional reserve, respectively. Although few studies have assessed attentional reserve and mental effort during upper-extremity performance, none have employed a combined approach to measure cognitive workload during locomotion. Therefore, by systematically considering ERPs, spectral content and importantly their combination, this study aimed to examine whether concurrent changes in spectral content and ERPs could collectively serve as an index of cognitive workload during locomotion. Specifically, ERP and EEG biomarkers were assessed as participants performed a cognitive task under two levels of difficulty (easy or hard) and two conditions (seated or walking). Changes in attentional reserve and mental effort appeared to collectively index cognitive workload under varying demands due to changes in task difficulty or performance conditions. This work can inform cognitive workload assessment in patient populations with gait deficiencies for future applications.
KW - Attentional reserve
KW - Ecologically valid human performance
KW - Event-related potentials
KW - Locomotion
KW - Mental effort and workload
KW - Spectral power
UR - http://www.scopus.com/inward/record.url?scp=85042513766&partnerID=8YFLogxK
U2 - 10.1016/j.biopsycho.2018.01.009
DO - 10.1016/j.biopsycho.2018.01.009
M3 - Article
C2 - 29378284
AN - SCOPUS:85042513766
SN - 0301-0511
VL - 134
SP - 39
EP - 51
JO - Biological Psychology
JF - Biological Psychology
ER -