Neurocognitive mechanisms of individual differences in face cognition: A replication and extension
Neurocognitive mechanisms of individual differences in face cognition: A replication and extension
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DOI：
10.3758/s13415-013-0234-y
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发表时间：
2014-06-01
影响因子：
2.9
通讯作者：
Sommer, Werner
中科院分区：
文献类型：
--
作者：
Kaltwasser, Laura;Hildebrandt, Andrea;Sommer, Werner
面孔认知表现与认知子过程的个体差异有关，如事件相关脑电位的振幅和潜伏期所反映的（ERPs; Herzmann，Kunina，Sommer，& Wilhelm，2010）。为了复制和扩展这些发现，110名参与者进行了测试，对一个全面的任务电池测量人脸认知能力和建立认知能力，然后在一个脸学习和识别任务的ERP记录。我们复制了ERP组件的链接，这些组件表明结构化面部编码的速度（N170潜伏期）和对记忆中结构化表征的访问（早期重复效应[ERE]/N250 r），以及面部认知的准确性和速度以及既定的认知能力。作为一个新的结果，我们区分的准确性，面部知觉和面部记忆的行为和电生理水平和报告之间的关系基本视觉过程（P100振幅）和面部记忆。此外，ERE/N250 r的大脑行为关系仍然成立，即使我们通过使用新的不熟悉面孔对启动效应进行反向掩蔽，从启动效应中消除了图形和感知结构代码。在方法层面上，我们展示了潜在差异得分建模技术对ERP差异成分（例如，ERE/N250 r）的水平，并将它们与面孔认知能力联系起来。
Face cognition performance is related to individual differences in cognitive subprocesses, as reflected in the amplitudes and latencies of event-related brain potentials (ERPs; Herzmann, Kunina, Sommer, & Wilhelm, 2010). In order to replicate and extend these findings, 110 participants were tested on a comprehensive task battery measuring face cognition abilities and established cognitive abilities, followed by ERP recordings in a face-learning-and-recognition task. We replicated the links of the ERP components indicating the speed of structural face encoding (N170 latency) and access to structural representations in memory (early repetition effect [ERE]/N250r) with the accuracy and speed of face cognition and with established cognitive abilities. As a novel result, we differentiated between the accuracy of face perception and face memory on the behavioral and electrophysiological levels and report a relationship between basic visual processes (P100 amplitude) and face memory. Moreover, the brain-behavior relationships for the ERE/N250r held true, even though we eliminated pictorial and perceptual structural codes from the priming effects by using backward masking of the primes with novel unfamiliar faces. On a methodological level, we demonstrated the utility of the latent difference score modeling technique to parameterize ERP difference components (e.g., ERE/N250r) on a latent level and link them to face cognition abilities.