Using fNIRS for Prefrontal-Asymmetry Neurofeedback: Methods and Challenges

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9359)

Abstract

Functional near-infrared spectroscopy (fNIRS) has become increasingly accessible in recent years, which allows this relatively low-cost and portable brain sensing modality for the application of brain-computer interfaces (BCI). Although there is a growing body of research on fNIRS-based BCI utilising users’ covert psychophysiological activity, there is comparably less research on active BCI, where users engage in thinking strategies with the explicit intention of controlling the behaviour of an interactive system. We draw on four empirical studies, where participants received real-time neurofeedback (NF) of left-asymmetric increase in activation in their dorsolateral prefrontal cortex (DL-PFC), which has previously been identified as a correlate of approach-related motivational tendencies. We discuss methodological considerations and challenges, and provide recommendations about brain-signal selection and integration, NF protocol design, post-hoc and real-time applications of NF success criteria, continuous visual feedback, and individualised feedback based on the variations of the brain-signal in a reference condition.

Keywords

Prefrontal asymmetry Functional near-infrared spectroscopy (Affective) brain-computer interfaces Neurofeedback 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of ComputingTeesside UniversityMiddlesbroughUK

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