| Literature DB >> 27752122 |
Meng Liao1,2, Haoxing Zhao3,4, Longqian Liu1,2, Qian Li1,2, Yun Dai3,4, Yudong Zhang3,4, Yifeng Zhou5.
Abstract
Perceptual learning is considered a potential treatment for amblyopia even in adult patients who have progressed beyond the critical period of visual development because adult amblyopes retain sufficient visual plasticity. When perceptual learning is performed with the correction of high-order aberrations (HOAs), a greater degree of neural plasticity is present in normal adults and those with highly aberrated keratoconic eyes. Because amblyopic eyes show more severe HOAs than normal eyes, it is interesting to study the effects of HOA-corrected visual perceptual learning in amblyopia. In the present study, we trained twenty-six older child and adult anisometropic amblyopes while their HOAs were corrected using a real-time closed-loop adaptive optics perceptual learning system (AOPL). We found that adaptive optics (AO) correction improved the modulation transfer functions (MTFs) and contrast sensitivity functions (CSFs) of older children and adults with anisometropic amblyopia. When perceptual learning was performed with AO correction of the ocular HOAs, the improvements in visual function were not only demonstrated in the condition with AO correction but were also maintained in the condition without AO correction. Additionally, the learning effect with AO correction was transferred to the untrained visual acuity and fellow eyes in the condition without AO correction.Entities:
Mesh:
Year: 2016 PMID: 27752122 PMCID: PMC5067678 DOI: 10.1038/srep35702
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Effects of AO correction on the MTFs and CSFs of amblyopic eyes.
MTFs (a) and CSFs (b) of the amblyopic eyes (n = 26) measured without (dashed curves, open squares) and with (solid curves, solid triangles) AO correction. The error bars indicate the standard errors across observers.
Figure 2Improvement at the trained spatial frequency after perceptual learning.
The average learning curve for the amblyopic eyes (n = 26) for the first 10 training sessions. The black line represents the best linear fit. The error bars indicate the standard errors across observers.
Figure 3Improvement in the CSF after perceptual learning.
(a) Pre- (dashed curve and open circles) and post-training (solid curve and circles) CSFs for amblyopic eyes with AO correction (n = 26). (b) Average improvements in CSF with AO correction (dB) as a function of pre-training amblyopic VA (logMAR) (n = 26, circles). (c) The learning effect with AO correction is maintained under the condition without AO correction for the amblyopic eyes (n = 26, pre-training CSF: dashed curve and open squares, post-training CSF: solid curve and squares). (d) The learning effect with AO correction is transferred to the untrained fellow eyes (n = 9, pre-training CSF: dashed curve and open triangles, post-training CSF: solid curve and triangles). The error bars indicate the standard errors across observers.
Figure 4Improvements in VA without AO correction after perceptual learning.
(a) The pre- and post-training VAs of the amblyopic eyes (open circle, n = 26) and untrained eyes (open triangle, n = 9). The pre-training VA is plotted as a function of the post-training VA. The dashed line indicates the prediction of no improvement. (b) The average VAs measured without AO correction before (white bars) and after (grey bars) training in the amblyopic eyes and untrained fellow eyes. The error bars indicate the standard errors across observers; ‘*’ indicates p < 0.05 (2-tailed paired t-test).