Book chapter
Brain-in-the-Loop Learning Using fNIR and Simulated Virtual Reality Surgical Tasks: Hemodynamic and Behavioral Effects
Foundations of Augmented Cognition, pp 324-335
2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Functional near infrared spectroscopy (fNIR) is a noninvasive, portable optical imaging tool to monitor changes in hemodynamic responses (i.e., oxygenated hemoglobin (HbO)) within the prefrontal cortex (PFC) in response to sensory, motor or cognitive activation. We used fNIR for monitoring PFC activation during learning of simulated laparoscopic surgical tasks throughout 4 days of training and testing. Blocked (BLK) and random (RND) practice orders were used to test the practice schedule effect on behavioral, hemodynamic responses and relative neural efficiency (EFFrel-neural) measures during transfer. Left and right PFC for both tasks showed significant differences with RND using less HbO than BLK. Cognitive workload showed RND exhibiting high EFFrel-neural across the PFC for the coordination task while the more difficult cholecystectomy task showed EFFrel-neural differences only in the left PFC. Use of brain activation, behavioral and EFFrel-neural measures can provide a more accurate depiction of the generalization or transfer of learning.
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Details
- Title
- Brain-in-the-Loop Learning Using fNIR and Simulated Virtual Reality Surgical Tasks: Hemodynamic and Behavioral Effects
- Creators
- Patricia A Shewokis (Corresponding Author) - Drexel UniversityHasan Ayaz - Drexel UniversityLucian Panait - Drexel UniversityYichuan Liu - Drexel UniversityMashaal Syed - Drexel UniversityLawrence Greenawald - Drexel UniversityFaiz U Shariff - Drexel UniversityAndres Castellanos - Drexel UniversityD Scott Lind - Drexel University
- Publication Details
- Foundations of Augmented Cognition, pp 324-335
- Conference
- Foundations of Augmented Cognition, 9th International Conference (AC 2015), part of HCI International 2015, 9th (Los Angeles, California, United States, 02 Aug 2015–07 Aug 2015)
- Series
- Lecture Notes in Computer Science; 9183
- Publisher
- Springer International Publishing; Cham
- Number of pages
- 12
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Nutrition Sciences
- Web of Science ID
- WOS:000364809400031
- Scopus ID
- 2-s2.0-84947212072
- Other Identifier
- 991014878521904721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems