Optical and neural contributions to contrast sensitivity: A factor analysis of individual differences with and without adaptive optics

Elliott et al. (2009) measured contrast sensitivity functions (CSFs) using both normal viewing and closed-loop adaptive optics (AO) to correct high-order optical aberrations. We reanalyzed their data to further characterize optical and neural contributions to CSFs. Data were log CSFs for 16 individuals measured monocularly with and without AO correction for six vertical sinewave gratings between 0.55 and 18 cycles per degree (cpd). A factor analysis (direct oblimin rotation) revealed three significant factors. The first loaded onto AO-corrected data for high spatial frequencies (1.25 to 18 cpd) but only onto 1.25 cpd for normal viewing. The second loaded onto low frequencies (0.55 to 2.25 cpd) regardless of viewing condition. The third loaded onto frequencies above 2.25 cpd, but only in normal viewing, and disappeared under AO correction. The first two factors were retino-neural, broadly sensitive to high and low spatial frequencies. The third factor was optical quality (variability in higher-order aberrations), indicating that previously identified factors above 2.25 cpd in factor-analytic studies are not retino-neural. Results may challenge the hypothesis of multiple narrowly tuned spatial frequency channels determining CSFs in favor of two broadly tuned neural mechanisms (consistent with magnocellular and parvocellular pathways) plus optical factors that limit high spatial frequencies. Notably, (typically older) observers with poorer optical quality exhibited reduced neural sensitivity, even after optical correction, suggesting chronic optical degradation may permanently impact neural processing.

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Publication Details

Journal
Journal of Vision
Published
2026-05-18
DOI
https://doi.org/10.1167/jov.26.5.6
Primary Topic
Visual perception and processing mechanisms
Type
article
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article

Optical and neural contributions to contrast sensitivity: A factor analysis of individual differences with and without adaptive optics

Sarah Elliott, David H. Peterzell
Journal of Vision
Visual perception and processing mechanisms
article

Optical and neural contributions to contrast sensitivity: A factor analysis of individual differences with and without adaptive optics

Sarah Elliott, David H. Peterzell
article en

Abstract

Elliott et al. (2009) measured contrast sensitivity functions (CSFs) using both normal viewing and closed-loop adaptive optics (AO) to correct high-order optical aberrations. We reanalyzed their data to further characterize optical and neural contributions to CSFs. Data were log CSFs for 16 individuals measured monocularly with and without AO correction for six vertical sinewave gratings between 0.55 and 18 cycles per degree (cpd). A factor analysis (direct oblimin rotation) revealed three significant factors. The first loaded onto AO-corrected data for high spatial frequencies (1.25 to 18 cpd) but only onto 1.25 cpd for normal viewing. The second loaded onto low frequencies (0.55 to 2.25 cpd) regardless of viewing condition. The third loaded onto frequencies above 2.25 cpd, but only in normal viewing, and disappeared under AO correction. The first two factors were retino-neural, broadly sensitive to high and low spatial frequencies. The third factor was optical quality (variability in higher-order aberrations), indicating that previously identified factors above 2.25 cpd in factor-analytic studies are not retino-neural. Results may challenge the hypothesis of multiple narrowly tuned spatial frequency channels determining CSFs in favor of two broadly tuned neural mechanisms (consistent with magnocellular and parvocellular pathways) plus optical factors that limit high spatial frequencies. Notably, (typically older) observers with poorer optical quality exhibited reduced neural sensitivity, even after optical correction, suggesting chronic optical degradation may permanently impact neural processing.

Journal of VisionVol. 26(5)
Twitter (United States) (US), Peppermint (Germany) (DE), Behavioral Tech Research, Inc. (US), University of Florence (IT), Fielding Graduate University (US), University of Wales Trinity Saint David (GB)
No poverty
Openalex Percentile: Top 5%
Visual perception and processing mechanisms
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