Studies in Human Performance and Experience: Neuroscience and Functional Brain Imaging: 2nd Edition
A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neurotechnology and Neuroimaging".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 1548
Special Issue Editor
Interests: neuroimaging; biomedical signal processing; functional brain imaging; near-infrared spectroscopy; traumatic brain injury; anesthesia care; human performance; human autonomy teaming; learning and training
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The past two decades have seen the increasing significance of technologies deployed to provide measures of cognitive functioning, stress, fatigue, or emotion in field settings. From the aerospace industry to healthcare, there are numerous unmet needs that can be addressed by properly adapting these technologies and methodologies. Quantitative assessments of joint human-autonomy performance, the provision of analytics for the design of curricula, and scenarios to enable adaptive and personalized training are just a few examples illustrating the potential role of these technologies. This trend also provides us with an opportunity to apply such technologies in more contextually real and dynamic environments.
The measurement of neurophysiological changes in real time during complex, real-world tasks can help us evaluate decision making and reliably compare the workload burden of next-generation systems versus legacy systems in various domains. The goal of this Special Issue is to present a collection of studies focusing on neuroimaging and key cognitive areas of interest when attempting to explore the correlation between neurophysiological state, task load, and level of expertise. We aim to publish a number of studies in which wearable physiological and neuro-physiological sensors and neuroimaging devices, such as functional near-infrared spectroscopy (fNIRS), electroencephalogram (EEG), functional magnetic resonance imaging (fMRI), eye tracking, and galvanic skin response (GSR), are used to evaluate human performance and training in real operational settings.
Dr. Kurtulus Izzetoglu
Guest Editor
Manuscript Submission Information
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Keywords
- cognitive load
- mental workload
- functional brain imaging
- fNIRS
- fMRI
- EEG
- eye tracking
- learning
- training
- human-autonomy teaming
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