Castaldi Elisa, Piazza Manuela, Eger Evelyn
Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy.
Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Front Hum Neurosci. 2021 Nov 15;15:751098. doi: 10.3389/fnhum.2021.751098. eCollection 2021.
Humans can quickly approximate how many objects are in a visual image, but no clear consensus has been achieved on the cognitive resources underlying this ability. Previous work has lent support to the notion that mechanisms which explicitly represent the locations of multiple objects in the visual scene within a mental map are critical for both visuo-spatial working memory and enumeration (at least for relatively small numbers of items). Regarding the cognitive underpinnings of large numerosity perception, an issue currently subject to much controversy is why numerosity estimates are often non-veridical (i.e., susceptible to biases from non-numerical quantities). Such biases have been found to be particularly pronounced in individuals with developmental dyscalculia (DD), a learning disability affecting the acquisition of arithmetic skills. Motivated by findings showing that DD individuals are also often impaired in visuo-spatial working memory, we hypothesized that resources supporting this type of working memory, which allow for the simultaneous identification of multiple objects, might also be critical for precise and unbiased perception of larger numerosities. We therefore tested whether loading working memory of healthy adult participants during discrimination of large numerosities would lead to increased interference from non-numerical quantities. Participants performed a numerosity discrimination task on multi-item arrays in which numerical and non-numerical stimulus dimensions varied congruently or incongruently relative to each other, either in isolation or in the context of a concurrent visuo-spatial or verbal working memory task. During performance of the visuo-spatial, but not verbal, working memory task, precision in numerosity discrimination decreased, participants' choices became strongly biased by item size, and the strength of this bias correlated with measures of arithmetical skills. Moreover, the interference between numerosity and working memory tasks was bidirectional, with number discrimination impacting visuo-spatial (but not verbal) performance. Overall, these results suggest that representing visual numerosity in a way that is unbiased by non-numerical quantities relies on processes which explicitly segregate/identify the locations of multiple objects that are shared with visuo-spatial (but not verbal) working memory. This shared resource may potentially be impaired in DD, explaining the observed co-occurrence of working memory and numerosity discrimination deficits in this clinical population.
人类能够快速估算视觉图像中有多少物体,但对于这种能力背后的认知资源,尚未达成明确的共识。先前的研究支持了这样一种观点,即在心理地图中明确表示视觉场景中多个物体位置的机制,对于视觉空间工作记忆和计数(至少对于相对少量的物品)都至关重要。关于大量感知的认知基础,目前备受争议的一个问题是,为什么数量估计往往不准确(即容易受到非数值量的偏差影响)。已发现这种偏差在患有发育性计算障碍(DD)的个体中尤为明显,DD是一种影响算术技能习得的学习障碍。鉴于有研究表明DD个体在视觉空间工作记忆方面也常常受损,我们推测,支持这种类型工作记忆(允许同时识别多个物体)的资源,对于准确且无偏差地感知较大数量也可能至关重要。因此,我们测试了在健康成年参与者辨别大量物体时加载其工作记忆,是否会导致来自非数值量的干扰增加。参与者对多项目阵列执行数量辨别任务,其中数值和非数值刺激维度彼此一致或不一致地变化,这些变化可以单独出现,也可以在同时进行的视觉空间或言语工作记忆任务的背景下出现。在执行视觉空间而非言语工作记忆任务期间,数量辨别精度下降,参与者的选择受到项目大小的强烈影响,并且这种偏差的强度与算术技能的测量指标相关。此外,数量和工作记忆任务之间的干扰是双向的,数字辨别会影响视觉空间(而非言语)表现。总体而言,这些结果表明,以不受非数值量偏差影响的方式表示视觉数量,依赖于明确分离/识别与视觉空间(而非言语)工作记忆共享的多个物体位置的过程。这种共享资源在DD中可能会受损,这解释了在这一临床群体中观察到的工作记忆和数量辨别缺陷的共现现象。