What determines the neural response to snakes in the infant brain? A systematic comparison of color and grayscale stimuli.

EEG color infancy snakes steady-state visual evoked potential

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2023
Historique:
received: 14 09 2022
accepted: 13 02 2023
medline: 31 3 2023
entrez: 30 3 2023
pubmed: 31 3 2023
Statut: epublish

Résumé

Snakes and primates have coexisted for thousands of years. Given that snakes are the first of the major primate predators, natural selection may have favored primates whose snake detection abilities allowed for better defensive behavior. Aligning with this idea, we recently provided evidence for an inborn mechanism anchored in the human brain that promptly detects snakes, based on their characteristic visual features. What are the critical visual features driving human neural responses to snakes is an unresolved issue. While their prototypical curvilinear coiled shape seems of major importance, it remains possible that the brain responds to a blend of other visual features. Coloration, in particular, might be of major importance, as it has been shown to act as a powerful aposematic signal. Here, we specifically examine whether color impacts snake-specific responses in the naive, immature infant brain. For this purpose, we recorded the brain activity of 6-to 11-month-old infants using electroencephalography (EEG), while they watched sequences of color or grayscale animal pictures flickering at a periodic rate. We showed that glancing at colored and grayscale snakes generated specific neural responses in the occipital region of the brain. Color did not exert a major influence on the infant brain response but strongly increased the attention devoted to the visual streams. Remarkably, age predicted the strength of the snake-specific response. These results highlight that the expression of the brain-anchored reaction to coiled snakes bears on the refinement of the visual system.

Identifiants

pubmed: 36993883
doi: 10.3389/fpsyg.2023.1027872
pmc: PMC10040846
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1027872

Informations de copyright

Copyright © 2023 Bertels, de Heering, Bourguignon, Cleeremans and Destrebecqz.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Julie Bertels (J)

ULBabyLab, Consciousness, Cognition and Computation Group (CO3), Center for Research in Cognition and Neurosciences (CRCN), ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Laboratoire de Neuroanatomie et de Neuroimagerie Translationnelles (LN2T), ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Adelaïde de Heering (A)

LulLABy, Unité de Recherche en Neurosciences Cognitives (UNESCOG), Center for Research in Cognition and Neurosciences (CRCN), ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Mathieu Bourguignon (M)

Laboratoire de Neuroanatomie et de Neuroimagerie Translationnelles (LN2T), ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Laboratory of Neurophysiology and Movement Biomechanics, ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Axel Cleeremans (A)

ULBabyLab, Consciousness, Cognition and Computation Group (CO3), Center for Research in Cognition and Neurosciences (CRCN), ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Arnaud Destrebecqz (A)

ULBabyLab, Consciousness, Cognition and Computation Group (CO3), Center for Research in Cognition and Neurosciences (CRCN), ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Classifications MeSH