Visual information is transferred from the eye to the brain through ON and OFF pathways that signal the presence of light and dark features in visual scenes. ON and OFF pathways are present in all animals with image-forming visual-systems including flies and primates, however, we still have a poor understanding of how they interact in visual processing. While neuroscience textbooks describe ON and OFF pathways as sharing equal cortical space, recent work has demonstrated that the OFF pathway greatly dominates cortical responses. We hypothesize that this cortical OFF dominance originates from a difference in the contrast response function between ON and OFF pathways that we recently discovered. Because contrast saturation is more pronounced within the ON pathway, light stimuli are spatially distorted and less effective at driving cortical responses than dark stimuli, which causes the cortex to be OFF dominated. Because of this greater spatial distortion for lights, we predict that ON/OFF differences in contrast saturation will have major implications not only in cortical function but also in human visual perception and visual disease. Therefore, this proposal uses the differences in ON/OFF contrast saturation as a conceptual framework to predict and investigate how cortical OFF dominance changes under different stimulation conditions and the implications of these changes for the perception of lights and darks. Our conceptual framework predicts that cortical OFF dominance will increase when the image is out of focus either because of normal changes in lens accommodation (e.g. blurred background when fixating a target at close distance) or visual disease (e.g. amblyopia, myopia). In turn, cortical OFF dominance will decrease when seeing high spatial frequencies with high mean luminance, which are common outdoors. To test our predictions and investigate the dynamics of ON and OFF cortical function, we will measure the responses of cortical single neurons to dark and light targets under a large variety of stimulus conditions (e.g. different contrasts, spatial frequency, mean luminance, luminance distribution). We will then use the same stimulus conditions to measure changes in light/dark visual acuity and visual salience in humans. To fully characterize cortical responses of single neurons to multiple stimulus dimensions, we will use an innovative multielectrode array that we have been developing over the past years to record from well-isolated single neurons for prolonged periods of time. This novel technical approach allows us to obtain an unprecedented characterization of the stimulus space that modulates ON/OFF signaling by testing a large combination of stimulus conditions that could not be fully explored with previous methods.

Public Health Relevance

The results from this proposal will provide a better understanding of how the visual cortex processes light and dark features in visual scenes. A better understanding of visual processing for darks and lights has important implications for basic brain research as well as potential clinical applications. Some of the most widely-used visual tests have been designed more than 100 years ago and remained unchanged since then (e.g. dark characters on light background to measure visual acuity, light spots on dark background to measure visual fields). It is not entirely clear why these tests were designed in such a way but it is very likely that the first eye charts used dark characters because they were printed on paper and the first measurements of visual fields used light spots because they required projecting lights on different locations of a screen. The work in this proposal aims to provide scientific bases for current visual tests and help to adapt these tests to specific diseases using our increased knowledge of how they affect the function of ON and OFF pathways.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY027361-04
Application #
9884766
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Flanders, Martha C
Project Start
2017-03-01
Project End
2022-02-28
Budget Start
2020-03-01
Budget End
2021-02-28
Support Year
4
Fiscal Year
2020
Total Cost
Indirect Cost
Name
State College of Optometry
Department
Biology
Type
Schools of Optometry/Opht Tech
DUNS #
152652764
City
New York
State
NY
Country
United States
Zip Code
10036
Mazade, Reece; Niell, Cristopher M; Alonso, Jose M (2018) Seeing with a biased visual cortical map. J Neurophysiol 120:272-273
Pons, Carmen; Mazade, Reece; Jin, Jianzhong et al. (2017) Neuronal mechanisms underlying differences in spatial resolution between darks and lights in human vision. J Vis 17:5
Mazade, Reece; Alonso, Jose Manuel (2017) Thalamocortical processing in vision. Vis Neurosci 34:E007