Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS

Causse, Mickaël; Chua, Zarrin; Peysakhovich, Vsevolod; Del Campo, Natalia; Matton, Nadine · 2017 · Crossref

DOI: 10.1038/s41598-017-05378-x

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Summary

This study investigates the utility of functional near-infrared spectroscopy (fNIRS) for quantifying mental workload and neural efficiency in the prefrontal cortex, addressing the need for portable, field-deployable neuroimaging tools in high-risk operational settings like aviation. While traditional neuroimaging methods like fMRI and EEG are ill-suited for ecological contexts due to movement artifacts or immobilization requirements, fNIRS offers a non-invasive alternative that measures changes in oxygenated (HbO2) and deoxygenated hemoglobin (HHb) in response to cognitive activity. The research aimed to validate fNIRS sensitivity to task difficulty in both realistic flight simulation and laboratory executive function tasks, and to explore the relationship between prefrontal activation, task performance, and individual neural efficiency. The experimental design involved student pilots performing two landing scenarios (easy and difficult) in a high-fidelity flight simulator, alongside two laboratory-based executive function tests: a spatial working memory task (SWM) with four difficulty levels and a planning/reasoning task (One Touch Stockings, OTS) with six difficulty levels. fNIRS data were collected from 16 optode locations over the prefrontal cortex. The analysis focused on how HbO2 and HHb concentrations varied with task difficulty and how these hemodynamic changes correlated with performance metrics, such as trajectory deviations in the simulator and error rates in the laboratory tests. A neural efficiency index was calculated by combining rescaled performance and HbO2 concentration to assess individual differences in resource allocation. Results confirmed that increased task difficulty led to significantly higher perceived mental workload and degraded performance across all tasks. Correspondingly, fNIRS data showed increased HbO2 and decreased HHb concentrations in the prefrontal cortex as difficulty rose, with the right dorsolateral prefrontal cortex showing predominant activation during the difficult landing scenario. However, prefrontal activation intensity was not clearly correlated with task performance; instead, it reflected the level of mental effort exerted. The neural efficiency index, derived from the combination of activation and performance, remained consistent across different difficulty levels within the same task, indicating stable individual differences in efficiency. Notably, no significant correlation was found between neural efficiency in the laboratory tasks and the flight simulator, suggesting that efficiency may be task-specific. These findings support the suitability of fNIRS as a robust tool for assessing mental effort in ecological and operational contexts, offering a viable alternative to subjective workload measures. The study highlights that while fNIRS can reliably track changes in mental resource allocation, the relationship between brain activity and performance is complex, with activation serving as a marker of effort rather than a direct predictor of output. This implies that fNIRS can be effectively used in training programs and clinical settings to monitor cognitive load, though individual neural efficiency may not generalize across different types of tasks.

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StageOutcomeToolModelPromptAttemptsCompleted
discover success Crossref 1 2026-08-09
archive success canonical_url 1 2026-08-09
extract success cached 4 2026-08-23
clean success clean 1 2026-08-09
chunk success chunk 1 2026-08-09
embed success embed Qwen/Qwen3-Embedding-8B 1 2026-08-09
promote success 1 2026-08-09
summarize success llm qwen3.8-27b-gittensor summ-v5 3 2026-08-23
tag success vector_similarity 11 2026-08-11
verify success 2 2026-08-09

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