Decoding visual information from high-density diffuse optical tomography neuroimaging data.

ABSTRACT:

Background

Neural decoding could be useful in many ways, from serving as a neuroscience research tool to providing a means of augmented communication for patients with neurological conditions. However, applications of decoding are currently constrained by the limitations of traditional neuroimaging modalities. Electrocorticography requires invasive neurosurgery, magnetic resonance imaging (MRI) is too cumbersome for uses like daily communication, and alternatives like functional near-infrared spectroscopy (fNIRS) offer poor image quality. High-density diffuse optical tomography (HD-DOT) is an emerging modality that uses denser optode arrays than fNIRS to combine logistical advantages of optical neuroimaging with enhanced image quality. Despite the resulting promise of HD-DOT for fa

SUBMITTER: Tripathy K 

PROVIDER: S-EPMC8006181 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature