What precedes which: Developmental neural tuning in face-and place-related cortex

K. Suzanne Scherf, Beatriz Luna, Galia Avidan, Marlene Behrmann

Research output: Contribution to journalArticlepeer-review

65 Scopus citations

Abstract

Although category-specific activation for faces in the ventral visual pathway appears adult-like in adolescence, recognition abilities for individual faces are still immature. We investigated how the ability to represent individual faces and houses develops at the neural level. Category-selective regions of interest (ROIs) for faces in the fusiform gyrus (FG) and for places in the parahippocampal place area (PPA) were identified individually in children, adolescents, and adults. Then, using an functional magnetic resonance imaging adaptation paradigm, we measured category selectivity and individual-level adaptation for faces and houses in each ROI. Only adults exhibited both category selectivity and individual-level adaptation bilaterally for faces in the FG and for houses in the PPA. Adolescents showed category selectivity bilaterally for faces in the FG and houses in the PPA. Despite this profile of category selectivity, adolescents only exhibited individual-level adaptation for houses bilaterally in the PPA and for faces in the left FG. Children only showed category-selective responses for houses in the PPA, and they failed to exhibit category-selective responses for faces in the FG and individual-level adaptation effects anywhere in the brain. These results indicate that category-level neural tuning develops prior to individual-level neural tuning and that face-related cortex is disproportionately slower in this developmental transition than is place-related cortex.

Original languageEnglish
Pages (from-to)1963-1980
Number of pages18
JournalCerebral Cortex
Volume21
Issue number9
DOIs
StatePublished - 1 Sep 2011

Keywords

  • adolescent
  • fMRI
  • fusiform gyrus
  • parahippocampal gyrus
  • visual processing

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

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