Department of Education and Zlotowski Center for Neuroscience, Ben Gurion University of the Negev, Beer Sheva, Israel.
Department of Psychology and Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat-Gan, Israel; Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA.
Neuropsychologia. 2020 Feb 17;138:107352. doi: 10.1016/j.neuropsychologia.2020.107352. Epub 2020 Jan 17.
The ability to identify facial expressions rapidly and accurately is central to human evolution. Previous studies have demonstrated that this ability relies to a large extent on the magnocellular, rather than parvocellular, visual pathway, which is biased toward processing low spatial frequencies. Despite the generally consistent finding, no study to date has investigated the reliability of this effect over time. In the present study, 40 participants completed a facial emotion identification task (fearful, happy, or neutral faces) using facial images presented at three different spatial frequencies (low, high, or broad spatial frequency), at two time points separated by one year. Bayesian statistics revealed an advantage for the magnocellular pathway in processing facial expressions; however, no effect for time was found. Furthermore, participants' RT patterns of results were highly stable over time. Our replication, together with the consistency of our measurements within subjects, underscores the robustness of this effect. This capacity, therefore, may be considered in a trait-like manner, suggesting that individuals may possess various ability levels for processing facial expressions that can be captured in behavioral measurements.
快速而准确地识别面部表情是人类进化的核心。先前的研究表明,这种能力在很大程度上依赖于大细胞而非小细胞视觉通路,后者偏向于处理低空间频率。尽管这一发现通常是一致的,但迄今为止尚无研究调查这种效应随时间推移的可靠性。在本研究中,40 名参与者使用在三个不同空间频率(低、高或宽空间频率)下呈现的面部图像,在相隔一年的两个时间点完成了面部表情识别任务(恐惧、快乐或中性面孔)。贝叶斯统计显示,大细胞通路在处理面部表情方面具有优势;然而,没有发现时间的影响。此外,参与者的 RT 结果模式在时间上高度稳定。我们的复制结果以及被试内测量的一致性,突出了这种效应的稳健性。因此,这种能力可以被视为一种特质,表明个体可能具有各种处理面部表情的能力水平,可以通过行为测量来捕捉。