• Neuropsychology · Sep 2015

    The commonality between the perceptual adaptation mechanisms involved in processing faces and nonface objects of expertise.

    • Xiaohua Cao, Bei Jiang, Chao Li, Ni Xia, and R Jackie Floyd.
    • Department of Psychology, Zhejiang Normal University.
    • Neuropsychology. 2015 Sep 1; 29 (5): 715-25.

    ObjectiveThe authors designed 2 experiments to examine the commonality of the N170 component involved in processing faces and nonface objects of expertise.MethodIn Experiment 1, to investigate the N170 adaptation effect between faces and printed language, 18 bilingual participants (7 males) were recruited, and the N170 response elicited by faces and words was recorded using a 128-channel HydroCel Geodesic Sensor Net. To address whether this asymmetrical between-category N170 adaptation effect generalizes to any object of expertise, in Experiment 2, 19 participants (9 males) were recruited by training to become Greeble experts. The N170 component elicited by faces and Greebles was recorded before and after training.ResultsIn Experiment 1, the authors found that only faces can affect the N170 response elicited by words but words cannot affect the N170 response elicited by face. In Experiment 2, both before and after training, Greeble adaptors did not affect the N170 response elicited by faces. It is important to note that after training, the faces decreased the N170 response elicited by the Greebles.ConclusionsThese results suggest that not only is there some commonality of N170 response elicited by face and nonface objects of expertise but also the kinds of functions associated with the N170 neural selectivity to faces were more than that to nonface expert objects.(c) 2015 APA, all rights reserved).

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…