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Cortical Thickness and Natural Scene Recognition in the Child’s Brain

Visual scenes are processed in terms of spatial frequencies. Low spatial frequencies (LSF) carry coarse information, whereas high spatial frequencies (HSF) subsequently carry information about fine details. The present magnetic resonance imaging study investigated how cortical thickness covaried wit...

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Autores principales: Orliac, François, Borst, Grégoire, Simon, Grégory, Mevel, Katell, Vidal, Julie, Dollfus, Sonia, Houdé, Olivier, Peyrin, Carole, Poirel, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349156/
https://www.ncbi.nlm.nih.gov/pubmed/32481756
http://dx.doi.org/10.3390/brainsci10060329
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author Orliac, François
Borst, Grégoire
Simon, Grégory
Mevel, Katell
Vidal, Julie
Dollfus, Sonia
Houdé, Olivier
Peyrin, Carole
Poirel, Nicolas
author_facet Orliac, François
Borst, Grégoire
Simon, Grégory
Mevel, Katell
Vidal, Julie
Dollfus, Sonia
Houdé, Olivier
Peyrin, Carole
Poirel, Nicolas
author_sort Orliac, François
collection PubMed
description Visual scenes are processed in terms of spatial frequencies. Low spatial frequencies (LSF) carry coarse information, whereas high spatial frequencies (HSF) subsequently carry information about fine details. The present magnetic resonance imaging study investigated how cortical thickness covaried with LSF/HSF processing abilities in ten-year-old children and adults. Participants indicated whether natural scenes that were filtered in either LSF or HSF represented outdoor or indoor scenes, while reaction times (RTs) and accuracy measures were recorded. In adults, faster RTs for LSF and HSF images were consistently associated with a thicker cortex (parahippocampal cortex, middle frontal gyrus, and precentral and insula regions for LSF; parahippocampal cortex and fronto-marginal and supramarginal gyri for HSF). On the other hand, in children, faster RTs for HSF were associated with a thicker cortex (posterior cingulate, supramarginal and calcarine cortical regions), whereas faster RTs for LSF were associated with a thinner cortex (subcallosal and insula regions). Increased cortical thickness in adults and children could correspond to an expansion mechanism linked to visual scene processing efficiency. In contrast, lower cortical thickness associated with LSF efficiency in children could correspond to a pruning mechanism reflecting an ongoing maturational process, in agreement with the view that LSF efficiency continues to be refined during childhood. This differing pattern between children and adults appeared to be particularly significant in anterior regions of the brain, in line with the proposed existence of a postero-anterior gradient of brain development. Taken together, our results highlight the dynamic brain processes that allow children and adults to perceive a visual natural scene in a coherent way.
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spelling pubmed-73491562020-07-22 Cortical Thickness and Natural Scene Recognition in the Child’s Brain Orliac, François Borst, Grégoire Simon, Grégory Mevel, Katell Vidal, Julie Dollfus, Sonia Houdé, Olivier Peyrin, Carole Poirel, Nicolas Brain Sci Article Visual scenes are processed in terms of spatial frequencies. Low spatial frequencies (LSF) carry coarse information, whereas high spatial frequencies (HSF) subsequently carry information about fine details. The present magnetic resonance imaging study investigated how cortical thickness covaried with LSF/HSF processing abilities in ten-year-old children and adults. Participants indicated whether natural scenes that were filtered in either LSF or HSF represented outdoor or indoor scenes, while reaction times (RTs) and accuracy measures were recorded. In adults, faster RTs for LSF and HSF images were consistently associated with a thicker cortex (parahippocampal cortex, middle frontal gyrus, and precentral and insula regions for LSF; parahippocampal cortex and fronto-marginal and supramarginal gyri for HSF). On the other hand, in children, faster RTs for HSF were associated with a thicker cortex (posterior cingulate, supramarginal and calcarine cortical regions), whereas faster RTs for LSF were associated with a thinner cortex (subcallosal and insula regions). Increased cortical thickness in adults and children could correspond to an expansion mechanism linked to visual scene processing efficiency. In contrast, lower cortical thickness associated with LSF efficiency in children could correspond to a pruning mechanism reflecting an ongoing maturational process, in agreement with the view that LSF efficiency continues to be refined during childhood. This differing pattern between children and adults appeared to be particularly significant in anterior regions of the brain, in line with the proposed existence of a postero-anterior gradient of brain development. Taken together, our results highlight the dynamic brain processes that allow children and adults to perceive a visual natural scene in a coherent way. MDPI 2020-05-28 /pmc/articles/PMC7349156/ /pubmed/32481756 http://dx.doi.org/10.3390/brainsci10060329 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Orliac, François
Borst, Grégoire
Simon, Grégory
Mevel, Katell
Vidal, Julie
Dollfus, Sonia
Houdé, Olivier
Peyrin, Carole
Poirel, Nicolas
Cortical Thickness and Natural Scene Recognition in the Child’s Brain
title Cortical Thickness and Natural Scene Recognition in the Child’s Brain
title_full Cortical Thickness and Natural Scene Recognition in the Child’s Brain
title_fullStr Cortical Thickness and Natural Scene Recognition in the Child’s Brain
title_full_unstemmed Cortical Thickness and Natural Scene Recognition in the Child’s Brain
title_short Cortical Thickness and Natural Scene Recognition in the Child’s Brain
title_sort cortical thickness and natural scene recognition in the child’s brain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349156/
https://www.ncbi.nlm.nih.gov/pubmed/32481756
http://dx.doi.org/10.3390/brainsci10060329
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