Changes in Mental Workload and Motor Performance Throughout Multiple Practice Sessions Under Various Levels of Task Difficulty. (21st November 2018)

• Record Type: Journal Article
• Authors: Jaquess, Kyle J.; Lo, Li-Chuan; Oh, Hyuk; Lu, Calvin; Ginsberg, Andrew; Tan, Ying Ying; Lohse, Keith R.; Miller, Matthew W.; Hatfield, Bradley D.; Gentili, Rodolphe J.
• Is Part Of: Neuroscience. Volume 393(2018)
• Page Start: 305
• Page End: 318
• Publication Date: 2018-11-21
• Subjects: EEG electroencephalography -- ICA independent components analysis -- TLX Task Load Index; mental workload -- motor learning -- motor performance -- EEG -- spectral power; Neurochemistry -- Periodicals; Neurophysiology -- Periodicals; Neurology -- Periodicals; Neurochimie -- Périodiques; Neurophysiologie -- Périodiques; Neurochemistry; Neurophysiology; Electronic journals; Periodicals; Electronic journals; 612.8
• DOI: 10.1016/j.neuroscience.2018.09.019
• Languages: English
• ISSNs: 0306-4522

Abstract

Highlights: Mental workload is gradually reduced throughout motor skill learning. Recruitment of cortical mechanisms is intensified during elevated learning demands. Neuro-cognitive processes are refined throughout learning under various task demands. Abstract: The allocation of mental workload is critical to maintain cognitive-motor performance under various demands. While mental workload has been investigated during performance, limited efforts have examined it during cognitive-motor learning, while none have concurrently manipulated task difficulty. It is reasonable to surmise that the difficulty level at which a skill is practiced would impact the rate of skill acquisition and also the rate at which mental workload is reduced during learning (relatively slowed for challenging compared to easier tasks). This study aimed to monitor mental workload by assessing cortical dynamics during a task practiced under two difficulty levels over four days while perceived task demand, performance, and electroencephalography (EEG) were collected. As expected, self-reported mental workload was reduced, greater working memory engagement via EEG theta synchrony was observed, and reduced cortical activation, as indexed by progressive EEG alpha synchrony was detected during practice. Task difficulty was positively related to the magnitude of alpha desynchrony and accompanied by elevations in the theta-alpha ratio. Counter to expectation, the absence of an interaction between task difficulty and practice days for both theta and alpha power indicates that the refinement of mental processes throughout learning occurred at a comparable rate for both levels of difficulty. Thus, the assessment of brain dynamics was sensitive to the rate of change of cognitive workload with practice, but not to the degree of difficulty. Future work should consider a broader range of task demands and additional measures of brain processes to further assess this phenomenon.