The Spatiotemporal Neural Dynamics of Infant Face Processing View Full Text


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Article Info

DATE

2017-12

AUTHORS

K. J. Jantzen, Lawrence A. Symons, Taylor Kredel, Benjamin Ratcliff, Nikal Toor, McNeel G. Jantzen, Amanda C. Hahn

ABSTRACT

Substantial evidence indicates that infant faces are a salient stimulus that receive attentional priority, motivate caretaking behavior, and are rewarding. There is strong support for an early role of reward circuitry, including the orbital frontal cortex, in processing infant faces. Although it is hypothesized that this early activity promotes subsequent positive emotional reactions and greater attention to infant faces, supporting evidence of the spatiotemporal cortical dynamics of infant face processing is lacking. In this study we used electroencephalography (EEG) to investigate the spatiotemporal brain dynamics of face processing to better understand how we process infant faces relative to adult faces. EEG was acquired while participants viewed infant faces and adult faces of the same or opposite sex. Source analysis of the event related potentials revealed activity across a broad face processing network. In keeping with existing work, early increases were observed at the time of the N170 in the orbitofrontal cortex, the inferior occipital gyrus and the fusiform gyrus. Later increases were observed between 300 and 500 milliseconds in the anterior cingulate, the superior temporal sulcus and the precuneus. We argue that the overall pattern of results is compatible with the hypothesis that the rewarding nature of infant features motivates increased activity and motivation of caretaking infants, in part by enhancing processing of the face and heightening attention related circuitry in the brain. More... »

PAGES

386-400

References to SciGraph publications

  • 2011-04. The role of the occipital face area in the cortical face perception network in EXPERIMENTAL BRAIN RESEARCH
  • 1994-01. Interpreting magnetic fields of the brain: minimum norm estimates in MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
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    http://scigraph.springernature.com/pub.10.1007/s40750-017-0080-1

    DOI

    http://dx.doi.org/10.1007/s40750-017-0080-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1091833612


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    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s40750-017-0080-1'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s40750-017-0080-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40750-017-0080-1'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40750-017-0080-1'


     

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