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fMRI Validation of fNIRS Measurements During a Naturalistic Task
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fNIRS Dataset During Complex Scene Analysis.

Matthew Ning1, Sudan Duwadi2, Meryem A Yücel2

  • 1Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Boston, MA, USA.

Biorxiv : the Preprint Server for Biology
|February 8, 2024
PubMed
Summary

This study explores using functional near-infrared spectroscopy (fNIRS) to decode spatial attention. The developed open-access dataset aids in creating brain-computer interfaces for complex scene analysis.

Keywords:
BCIcomplex scene analysisfNIRSopen accessspatial attention

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Biomedical Engineering

Background:

  • Human attention focuses on specific spatial locations during complex scene analysis (CSA).
  • Decoding spatial attention is crucial for developing advanced brain-computer interfaces (BCIs).
  • Previous studies utilized functional magnetic resonance imaging (fMRI) to identify brain regions involved in spatial attention tasks.

Conclusions:

  • Functional near-infrared spectroscopy (fNIRS) shows promise for decoding spatial attention, advancing brain-computer interface (BCI) capabilities.
  • The open-access dataset facilitates research in neuroimaging and machine learning for cognitive tasks.
  • This work paves the way for more sophisticated BCIs in complex scene analysis.