Individual Differences in fNIRS Measures of Cognitive Workload During a UAS Mission

Kerr, Jaime; Molloy, Cooper; Reddy, Pratusha; Shewokis, Patricia A.; İzzetoǧlu, Kurtuluş

doi:10.1007/978-3-030-78114-9_4

Cited by 2 publications

(3 citation statements)

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“…The trainees may have similar performance scores, but the amount of mental effort varies between individuals. Using optical imaging along with the existing training and scoring protocols and scoring systems has been used by various industries such as aviation [17, 31, 36]. It was shown that adaptive training systems, such as fNIRS, which utilize the “brain‐in‐the‐loop” learning method, increase the efficiency of the training programs [36, 40].…”

Section: Discussionmentioning

confidence: 99%

“…After completing the experimental protocol, signal processing and performance evaluation were conducted. During the preprocessing stage of the data analysis, the raw fNIRS data were first filtered using a low‐pass FIR filter with a 0.1 Hz cutoff frequency to remove motion artifacts, cardiac and respiratory oscillations [31]. Subsequently, the data were used to calculate HbO and HbR values using the modified Beer–Lambert law [7, 9].…”

Section: Methodsmentioning

confidence: 99%

“…Conversely, the opposite pattern may indicate decreased activity [9, 26]. Therefore, HbO and HbR values are essential for investigating various cognitive processes and behaviors, such as attention, memory, emotion, and decision‐making [7, 9, 10, 23, 31].…”

Section: Methodsmentioning

confidence: 99%

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Assessment of learning in simulator‐based arthroscopy training with the diagnostic arthroscopy skill score (DASS) and neurophysiological measures

Aksoy,

Kocaoglu,

İzzetoglu

et al. 2023

Knee surg. sports traumatol. arthrosc.

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Purpose Virtual arthroscopic training has become increasingly popular. However, there is a lack of efficiency-based tracking of the trainee, which may be critical for determining the specifics of training programs and adapting them for the needs of each trainee. This study aims to evaluate and compare the measures obtained with a non-invasive neurophysiological method with The Diagnostic Arthroscopy Skill Score (DASS), a commonly used assessment tool for evaluating arthroscopic skills. Methods The study collected simulator performance scores, consisting of "Triangulation Right Hand", "Triangulation Left Hand", "Catch the Stars" and "Three Rings" and DASS scores from 22 participants (11 novices, 11 experts). These scores were obtained while participants underwent a structured program of exercises for the fundamentals of arthroscopic surgery training (FAST) and knee module using a simulator-based arthroscopy device. During the evaluation, data on oxy-hemoglobin and deoxy-hemoglobin levels in the prefrontal cortex were collected using the Functional Near-Infrared Spectroscopy (fNIRS) imaging system. Performance scores, DASS scores, and fNIRS data were subsequently analyzed to determine any correlation between performance and cortex activity. ResultsThe simulator performance scores and the DASS Part2 scores were significantly higher in the expert group compared to the novice group (200.1 ± 28.5 vs 172.5 ± 48.9, p = 0.04 and 9.4 ± 5.6 vs. 5.4 ± 5.6 p = 0.02). In the expert group, fNIRS data showed a significantly lower prefrontal cortex activation during fundamental tasks in the FAST module, indicating significantly more efficient mental resource use. ConclusionThe analysis of cognitive workload changes during simulation-based arthroscopy training revealed a significant correlation between the trainees' DASS scores and fNIRS data. This correlation suggests the potential use of fNIRS data and DASS scores as additional metrics to create adaptive training protocols for each participant. By incorporating these metrics, the training process can be optimized, leading to more efficient arthroscopic training and better preparedness for clinical operations. Level of evidence III.

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