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Multimodal Neuroimaging (fMRI and fNIRS) at WPI

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Functional Near-Infrared Spectroscopy (fNIRS) is a non-invasive neuroimaging technique that can potentially allow neural responses to be measured within ecologically valid environments. However, the hair often compromises this potential, especially in persons with thick or curly hair coupled with high melanin content, who tend to largely absorb the signal. Herein, we propose a new, non-invasive approach using a unique, biocompatible gel to remove hair interference for better contact between the optode and the scalp. A series of experiments showed that, compared with classical methodologies, gel application may improve SCI and reduce setup times. This may increase the signal-to-noise ratio without invasive preparations such as shaving. This further testifies to the approach's effectiveness, as it can cover most hair types and skin tones. It keeps the inclusiveness in neuroimaging research. This paper describes the development and testing of the gel application method and its effects on the quality of the fNIRS signal. A recommended approach for its application within diverse research and clinical settings is provided. The implications suggest that such non-invasive measures are valuable toward developing fNIRS technology that can be used without significant complications for accurate, reliable, and fair measurement of brain activity among different populations. This approach thus aligns very well with the ethical demand on neuroimaging research that it accounts for human diversity and, at the same time, looks forward to a future where it promotes the inclusion of neurodiverse individuals as much as possible without giving up its commitment to the unbiased pursuit of the understanding of the brain.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Creator
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Identifier
  • 121907
  • E-project-042624-164359
Advisor
Year
  • 2024
Date created
  • 2024-04-26
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Major
Source
  • E-project-042624-164359
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