Niechwiej-Szwedo Ewa, Goltz Herbert C, Colpa Linda, Chandrakumar Manokaraananthan, Wong Agnes M F
Department of Kinesiology, University of Waterloo, Waterloo, Ontario, Canada.
University of Toronto, Toronto, Canada.
Invest Ophthalmol Vis Sci. 2017 Feb 1;58(2):914-921. doi: 10.1167/iovs.16-20727.
Our previous work has shown that amblyopia disrupts the planning and execution of visually-guided saccadic and reaching movements. We investigated the association between the clinical features of amblyopia and aspects of visuomotor behavior that are disrupted by amblyopia.
A total of 55 adults with amblyopia (22 anisometropic, 18 strabismic, 15 mixed mechanism), 14 adults with strabismus without amblyopia, and 22 visually-normal control participants completed a visuomotor task while their eye and hand movements were recorded. Univariate and multivariate analyses were performed to assess the association between three clinical predictors of amblyopia (amblyopic eye [AE] acuity, stereo sensitivity, and eye deviation) and seven kinematic outcomes, including saccadic and reach latency, interocular saccadic and reach latency difference, saccadic and reach precision, and PA/We ratio (an index of reach control strategy efficacy using online feedback correction).
Amblyopic eye acuity explained 28% of the variance in saccadic latency, and 48% of the variance in mean saccadic latency difference between the amblyopic and fellow eyes (i.e., interocular latency difference). In contrast, for reach latency, AE acuity explained only 10% of the variance. Amblyopic eye acuity was associated with reduced endpoint saccadic (23% of variance) and reach (22% of variance) precision in the amblyopic group. In the strabismus without amblyopia group, stereo sensitivity and eye deviation did not explain any significant variance in saccadic and reach latency or precision. Stereo sensitivity was the best clinical predictor of deficits in reach control strategy, explaining 23% of total variance of PA/We ratio in the amblyopic group and 12% of variance in the strabismus without amblyopia group when viewing with the amblyopic/nondominant eye.
Deficits in eye and limb movement initiation (latency) and target localization (precision) were associated with amblyopic acuity deficit, whereas changes in the sensorimotor reach strategy were associated with deficits in stereopsis. Importantly, more than 50% of variance was not explained by the measured clinical features. Our findings suggest that other factors, including higher order visual processing and attention, may have an important role in explaining the kinematic deficits observed in amblyopia.
我们之前的研究表明,弱视会干扰视觉引导的眼球扫视运动和伸手动作的计划与执行。我们调查了弱视的临床特征与被弱视破坏的视运动行为各方面之间的关联。
共有55名弱视成人(22名屈光参差性、18名斜视性、15名混合机制性)、14名无弱视的斜视成人以及22名视力正常的对照参与者完成了一项视运动任务,同时记录他们的眼动和手动情况。进行单因素和多因素分析,以评估弱视的三个临床预测指标(弱视眼[AE]视力、立体视觉敏感度和眼位偏斜)与七个运动学结果之间的关联,这七个运动学结果包括眼球扫视潜伏期和伸手潜伏期、两眼间眼球扫视潜伏期和伸手潜伏期差异、眼球扫视精度和伸手精度,以及PA/We比率(一种使用在线反馈校正的伸手控制策略效能指标)。
弱视眼视力解释了眼球扫视潜伏期28%的方差,以及弱视眼与健眼之间平均眼球扫视潜伏期差异(即两眼间潜伏期差异)48%的方差。相比之下,对于伸手潜伏期,弱视眼视力仅解释了10%的方差。弱视眼视力与弱视组终点眼球扫视精度(23%的方差)和伸手精度(22%的方差)降低有关。在无弱视的斜视组中,立体视觉敏感度和眼位偏斜并未解释眼球扫视和伸手潜伏期或精度的任何显著方差。立体视觉敏感度是伸手控制策略缺陷的最佳临床预测指标,在用弱视眼/非优势眼观察时,解释了弱视组PA/We比率总方差的23%以及无弱视的斜视组12%的方差。
眼和肢体运动起始(潜伏期)及目标定位(精度)的缺陷与弱视视力缺陷相关,而感觉运动伸手策略的变化与立体视觉缺陷相关。重要的是,超过50%的方差无法由所测量的临床特征解释。我们的研究结果表明,其他因素,包括高阶视觉处理和注意力,可能在解释弱视中观察到的运动学缺陷方面发挥重要作用。