Book chapter
Brain Activity Changes Elicited Through Multi-session Training Assessment in the Prefrontal Cortex by fNIRS
Augmented Cognition
03 Jul 2021
Abstract
This study aims to utilize a non-invasive and portable neuroimaging modality – functional near infrared spectroscopy (fNIRS) to investigate training and transfer of skills in unmanned aerial system (UAS) sensor operators (SOs). To achieve this objective, we recruited 13 novice participants and exposed them to three similar training sessions followed by a testing session on a UAS simulator. The training sessions occurred at 11AM (high visibility), while the testing session occurred at 6AM or 8PM (low visibility). Regardless of the session, the participants were asked to scan pre-defined areas to best of their abilities and identify targets (red bus). Behavioral results from training sessions indicated that some participants improved their scan performance, while others did not. No significant changes in target find performance were observed within and between groups. Associated average oxyhemoglobin (HbO) changes significantly decreased in right prefrontal cortex (PFC) regions for high performers and in left PFC regions for low performers. During the transfer task, scan performance was maintained by both groups, while average HbO significantly increased in left dorsolateral PFC of high performers and left and right anterior medial PFC of low performers. In conclusion, we demonstrated intraindividual differences in expertise development during multi-session training.
Metrics
8 Record Views
3 citations in Scopus
Details
- Title
- Brain Activity Changes Elicited Through Multi-session Training Assessment in the Prefrontal Cortex by fNIRS
- Creators
- Pratusha Reddy - Drexel UniversityJaime Kerr - Drexel UniversityPatricia A. Shewokis - Drexel UniversityKurtulus Izzetoglu - Drexel University
- Publication Details
- Augmented Cognition
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Nutrition Sciences
- Scopus ID
- 2-s2.0-85112181392
- Other Identifier
- 991019173763504721