Title | Brain-computer interface-based assessment of color vision. |
Publication Type | Journal Article |
Year of Publication | 2021 |
Authors | Norton, JJS, DiRisio, GF, Carp, JS, Norton, AE, Kochan, NS, Wolpaw, JR |
Journal | J Neural Eng |
Volume | 18 |
Issue | 6 |
Date Published | 2021 Nov 26 |
ISSN | 1741-2552 |
Keywords | brain-computer interfaces, Color Vision, Electroencephalography, Evoked Potentials, Visual, Humans, Light, Photic Stimulation, Research Design |
Abstract | Present methods for assessing color vision require the person's active participation. Here we describe a brain-computer interface-based method for assessing color vision that does not require the person's participation.This method uses steady-state visual evoked potentials to identify metamers-two light sources that have different spectral distributions but appear to the person to be the same color.We demonstrate that: minimization of the visual evoked potential elicited by two flickering light sources identifies the metamer; this approach can distinguish people with color-vision deficits from those with normal color vision; and this metamer-identification process can be automated.This new method has numerous potential clinical, scientific, and industrial applications. |
DOI | 10.1088/1741-2552/ac3264 |
Alternate Journal | J Neural Eng |
PubMed ID | 34678801 |
PubMed Central ID | PMC9094738 |
Grant List | I01 CX001812 / CX / CSRD VA / United States U24 NS109103 / NS / NINDS NIH HHS / United States R25 HD088157 / HD / NICHD NIH HHS / United States R01 NS110577 / NS / NINDS NIH HHS / United States R01 EB026439 / EB / NIBIB NIH HHS / United States P41 EB018783 / EB / NIBIB NIH HHS / United States |