Book chapter
Neurofeedback for Personalized Adaptive Training
Advances in Neuroergonomics and Cognitive Engineering
13 Jun 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Learning of complex skills can be enhanced if the training can adapt to the learner. Earlier studies utilized behavioral performance based adaptation; however, behavioral performance assessment is limited and does not take into account the mental effort and the brain plasticity changes during the acquisition of complex skills. In this study, we utilized objective brain based measures for the assessment and adaptation of a four-day training program with three piloting tasks on four participants using a low fidelity flight simulator. Functional near-infrared spectroscopy (fNIRS) from prefrontal cortex was measured to adapt the difficulty levels of the training trials of the tasks with the aim of optimizing the cognitive workload. Participants also performed reference practice trials that had the same difficulty across sessions. Preliminary results identified specific brain areas within prefrontal cortex for each reference tasks that corroborates earlier task practice studies. Furthermore, the same brain areas were responsive to the adaptive training trials as well. The results overall suggest task specific brain areas are coupled with the behavioral performance. This study outlines a new neurofeedback based training paradigm using the wearable and portable fNIRS. Future uses of such personalized training could help prevent unnecessary over-training or insufficient under-training.
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9 Record Views
1 citations in Scopus
Details
- Title
- Neurofeedback for Personalized Adaptive Training
- Creators
- Jesse Mark - School of Biomedical Engineering, Science, and Health Systems, Drexel University, Philadelphia, USANeha Thomas - School of Biomedical Engineering, Science, and Health Systems, Drexel University, Philadelphia, USAAmanda Kraft - Advanced Technology Laboratories, Lockheed Martin, Arlington, USAWilliam D Casebeer - Advanced Technology Laboratories, Lockheed Martin, Arlington, USAMatthias Ziegler - Advanced Technology Laboratories, Lockheed Martin, Arlington, USAHasan Ayaz - Division of General Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, USA
- Publication Details
- Advances in Neuroergonomics and Cognitive Engineering
- Series
- Advances in Intelligent Systems and Computing
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000465822500008
- Scopus ID
- 2-s2.0-85021842377
- Other Identifier
- 991014878540904721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Cybernetics