About this Research Topic
This Research Topic’s aim is to provide a collection of forefront works investigating all aspects of a NIRS-based BCI system (NIRS-BCI), i.e., NIRS signal recording within various mental tasks, e.g., imaginary movement, mental subtraction, music imagination etc., NIRS signal preprocessing, noise cancelation and artifact removal, feature extraction, and classification. Submitted works can describe BCI systems employed in either a laboratory setting or in a real-world environment. Moreover, they can relate to clinical conditions or non-clinical ones demonstrating BCI functionality with everyday activities.
Topics of interest include, but are not limited to:
- NIRS-based Motor Cortex activities recognition (e.g., motor imagery)
- Motor Rehabilitation NIRS-BCIs
- NIRS-based Prefrontal Cortex activities recognition (e.g., mental arithmetic)
- Affective NIRS-BCIs
- Passive NIRS-BCIs
- Temporal/Spatiotemporal dynamics of NIRS-BCIs
- NIRS artifact removal methods for efficient BCIs
- Augmented Reality and Virtual Reality NIRS-BCIs
- NIRS-BCIs in games
- Hybrid BCIs, e.g., NIRS/EEG, NIRS/MEG etc.
- Multi-Brain Interaction NIRS-BCIs
Keywords: Near Infrared Spectroscopy, Brain Computer Interfaces, Hybrid BCIs, Brain activity, Brain imaging
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.