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Effects of Part- and Whole-Object Primes on Early MEG Responses to Mooney Faces and Houses

Overview of attention for article published in Frontiers in Psychology, February 2016
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Title
Effects of Part- and Whole-Object Primes on Early MEG Responses to Mooney Faces and Houses
Published in
Frontiers in Psychology, February 2016
DOI 10.3389/fpsyg.2016.00147
Pubmed ID
Authors

Mara Steinberg Lowe, Gwyneth A. Lewis, David Poeppel

Abstract

Results from neurophysiological experiments suggest that face recognition engages a sensitive mechanism that is reflected in increased amplitude and decreased latency of the MEG M170 response compared to non-face visual targets. Furthermore, whereas recognition of objects (e.g., houses) has been argued to be based on individual features (e.g., door, window), face recognition may depend more on holistic information. Here we analyzed priming effects of component and holistic primes on 20 participants' early MEG responses to two-tone (Mooney) images to determine whether face recognition in this context engages "featural" or "configural" processing. Although visually underspecified, the Mooney images in this study elicited M170 responses that replicate the typical face vs. house effect. However, we found a distinction between holistic vs. component primes that modulated this effect dependent upon compatibility (match) between the prime and target. The facilitatory effect of holistic faces and houses for Mooney faces and houses, respectively, suggests that both Mooney face and house recognition-both low spatial frequency stimuli-are based on holistic information.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
United States 1 8%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Doctoral Student 2 17%
Lecturer 1 8%
Professor 1 8%
Student > Bachelor 1 8%
Other 2 17%
Unknown 2 17%
Readers by discipline Count As %
Psychology 6 50%
Agricultural and Biological Sciences 2 17%
Nursing and Health Professions 1 8%
Neuroscience 1 8%
Unknown 2 17%