School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.
School of Psychology, University of Birmingham, Birmingham, UK.
Q J Exp Psychol (Hove). 2024 Oct;77(10):1937-1948. doi: 10.1177/17470218241264627. Epub 2024 Jul 27.
Atypical visual processing has been reported in developmental conditions like autism and dyslexia, and some accounts propose a causal role for visual processing in the development of these conditions. However, few studies make direct comparisons between conditions, or use sufficiently sensitive methods, meaning that it is hard to say whether atypical visual processing tells us anything specific about these conditions, or whether it reflects a more general marker of atypical development. Here I review findings from two computational modelling approaches (equivalent noise and diffusion modelling) and related electroencephalography (EEG) indices which we have applied to data from autistic, dyslexic and typically developing children to reveal how the component processes involved in visual processing and decision-making are altered in autism and dyslexia. The results identify both areas of convergence and divergence in autistic and dyslexic children's visual processing and decision-making, with implications for influential theoretical accounts such as weak central coherence, increased internal noise, and dorsal-stream vulnerability. In both sets of studies, we also see considerable variability across children in all three groups. To better understand this variability, and further understand the convergence and divergence identified between conditions, future studies would benefit from studying how the component processes reviewed here relate to transdiagnostic dimensions, which will also give insights into individual differences in visual processing and decision-making more generally.
在自闭症和阅读障碍等发育障碍中,已经报告了非典型的视觉处理,一些研究认为视觉处理在这些障碍的发展中起因果作用。然而,很少有研究在条件之间进行直接比较,或者使用足够敏感的方法,这意味着很难说非典型的视觉处理是否能告诉我们关于这些条件的具体情况,或者它是否反映了更普遍的非典型发育的标志物。在这里,我回顾了两种计算建模方法(等效噪声和扩散建模)和相关的脑电图(EEG)指标的研究结果,我们已经将这些方法应用于自闭症、阅读障碍和正常发育儿童的数据中,以揭示视觉处理和决策中涉及的成分过程在自闭症和阅读障碍中的变化。结果表明,自闭症和阅读障碍儿童的视觉处理和决策存在趋同和分歧的领域,这对弱中心连贯性、内部噪声增加和背侧流易损性等有影响力的理论解释产生了影响。在这两项研究中,我们还在所有三组儿童中都看到了相当大的个体差异。为了更好地理解这种可变性,并进一步理解条件之间的趋同和分歧,未来的研究将受益于研究这里回顾的成分过程如何与跨诊断维度相关,这也将更深入地了解视觉处理和决策的个体差异。