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A genuine interindividual variability in number and anatomical localization of face-selective regions in the human brain.
Gao, Xiaoqing; Wen, Minjie; Sun, Mengdan; Rossion, Bruno.
Afiliação
  • Gao X; Center for Psychological Sciences, Zhejiang University, Hangzhou 310028, China.
  • Wen M; Department of Psychology, Zhejiang University, Hangzhou 310028, China.
  • Sun M; Center for Psychological Sciences, Zhejiang University, Hangzhou 310028, China.
  • Rossion B; Université de Lorraine, CNRS, CRAN, F-54000, Nancy, France.
Cereb Cortex ; 32(21): 4834-4856, 2022 10 20.
Article em En | MEDLINE | ID: mdl-35088077
ABSTRACT
Neuroimaging studies have reported regions with more neural activation to face than nonface stimuli in the human occipitotemporal cortex for three decades. Here we used a highly sensitive and reliable frequency-tagging functional magnetic resonance imaging paradigm measuring high-level face-selective neural activity to assess interindividual variability in the localization and number of face-selective clusters. Although the majority of these clusters are located in the same cortical gyri and sulci across 25 adult brains, a volume-based analysis of unsmoothed data reveals a large amount of interindividual variability in their spatial distribution and number, particularly in the ventral occipitotemporal cortex. In contrast to the widely held assumption, these face-selective clusters cannot be objectively related on a one-to-one basis across individual brains, do not correspond to a single cytoarchitectonic region, and are not clearly demarcated by estimated posteroanterior cytoarchitectonic borders. Interindividual variability in localization and number of cortical face-selective clusters does not appear to be due to the measurement noise but seems to be genuine, casting doubt on definite labeling and interindividual correspondence of face-selective "areas" and questioning their a priori definition based on cytoarchitectony or probabilistic atlases of independent datasets. These observations challenge conventional models of human face recognition based on a fixed number of discrete neurofunctional information processing stages.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reconhecimento Visual de Modelos / Mapeamento Encefálico Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reconhecimento Visual de Modelos / Mapeamento Encefálico Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article