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Efficiency of the Brain Network Is Associated with the Mental Workload with Developed Mental Schema. | LitMetric

Efficiency of the Brain Network Is Associated with the Mental Workload with Developed Mental Schema.

Brain Sci

Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Zhuhai 519087, China.

Published: February 2023

AI Article Synopsis

  • The study of mental workload in neuroergonomics highlights the lack of effective measurement methods, influenced by task difficulty and individual skill levels.
  • Researchers examined changes in brain network function during a 10-day simulated piloting task at varying difficulty levels, finding shifts in network efficiency and organization.
  • Results showed that as individuals developed their mental schema, their brain network's efficiency declined in response to increased task difficulty, emphasizing the link between mental workload and brain network reconfiguration during motor learning.

Article Abstract

The study of mental workload has attracted much interest in neuroergonomics, a frontier field of research. However, there appears no consensus on how to measure mental workload effectively because the mental workload is not only regulated by task difficulty but also affected by individual skill level reflected as mental schema. In this study, we investigated the alterations in the functional brain network induced by a 10-day simulated piloting task with different difficulty levels. Topological features quantifying global and local information communication and network organization were analyzed. It was found that during different tests, the global efficiency did not change, but the gravity center of the local efficiency of the network moved from the frontal to the posterior area; the small-worldness of the functional brain network became stronger. These results demonstrate the reconfiguration of the brain network during the development of mental schema. Furthermore, for the first two tests, the global and local efficiency did not have a consistent change trend under different difficulty levels, but after forming the developed mental schema, both of them decreased with the increase in task difficulty, showing sensitivity to the increase in mental workload. Our results demonstrate brain network reconfiguration during the motor learning process and reveal the importance of the developed mental schema for the accurate assessment of mental workload. We concluded that the efficiency of the brain network was associated with mental workload with developed mental schema.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046556PMC
http://dx.doi.org/10.3390/brainsci13030373DOI Listing

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