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Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition?
Face cognition (FC) is a specific ability that cannot be fully explained by general cognitive functions. Cortical thickness (CT) is a neural correlate of performance and learning. In this registered report, we used data from the Human Connectome Project (HCP) to investigate the relationship between...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689650/ https://www.ncbi.nlm.nih.gov/pubmed/31417686 http://dx.doi.org/10.1098/rsos.180857 |
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author | Meyer, Kristina Garzón, Benjamín Lövdén, Martin Hildebrandt, Andrea |
author_facet | Meyer, Kristina Garzón, Benjamín Lövdén, Martin Hildebrandt, Andrea |
author_sort | Meyer, Kristina |
collection | PubMed |
description | Face cognition (FC) is a specific ability that cannot be fully explained by general cognitive functions. Cortical thickness (CT) is a neural correlate of performance and learning. In this registered report, we used data from the Human Connectome Project (HCP) to investigate the relationship between CT in the core brain network of FC and performance on a psychometric task battery, including tasks with facial content. Using structural equation modelling (SEM), we tested the existence of face-specific interindividual differences at behavioural and neural levels. The measurement models include general and face-specific factors of performance and CT. There was no face-specificity in CT in functionally localized areas. In post hoc analyses, we compared the preregistered, small regions of interest (ROIs) to larger, non-individualized ROIs and identified a face-specific CT factor when large ROIs were considered. We show that this was probably due to low reliability of CT in the functional localization (intra-class correlation coefficients (ICC) between 0.72 and 0.85). Furthermore, general cognitive ability, but not face-specific performance, could be predicted by latent factors of CT with a small effect size. In conclusion, for the core brain network of FC, we provide exploratory evidence (in need of cross-validation) that areas of the cortex sharing a functional purpose did also share morphological properties as measured by CT. |
format | Online Article Text |
id | pubmed-6689650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-66896502019-08-15 Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition? Meyer, Kristina Garzón, Benjamín Lövdén, Martin Hildebrandt, Andrea R Soc Open Sci Psychology and Cognitive Neuroscience Face cognition (FC) is a specific ability that cannot be fully explained by general cognitive functions. Cortical thickness (CT) is a neural correlate of performance and learning. In this registered report, we used data from the Human Connectome Project (HCP) to investigate the relationship between CT in the core brain network of FC and performance on a psychometric task battery, including tasks with facial content. Using structural equation modelling (SEM), we tested the existence of face-specific interindividual differences at behavioural and neural levels. The measurement models include general and face-specific factors of performance and CT. There was no face-specificity in CT in functionally localized areas. In post hoc analyses, we compared the preregistered, small regions of interest (ROIs) to larger, non-individualized ROIs and identified a face-specific CT factor when large ROIs were considered. We show that this was probably due to low reliability of CT in the functional localization (intra-class correlation coefficients (ICC) between 0.72 and 0.85). Furthermore, general cognitive ability, but not face-specific performance, could be predicted by latent factors of CT with a small effect size. In conclusion, for the core brain network of FC, we provide exploratory evidence (in need of cross-validation) that areas of the cortex sharing a functional purpose did also share morphological properties as measured by CT. The Royal Society 2019-07-31 /pmc/articles/PMC6689650/ /pubmed/31417686 http://dx.doi.org/10.1098/rsos.180857 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Psychology and Cognitive Neuroscience Meyer, Kristina Garzón, Benjamín Lövdén, Martin Hildebrandt, Andrea Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition? |
title | Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition? |
title_full | Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition? |
title_fullStr | Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition? |
title_full_unstemmed | Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition? |
title_short | Are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition? |
title_sort | are global and specific interindividual differences in cortical thickness associated with facets of cognitive abilities, including face cognition? |
topic | Psychology and Cognitive Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689650/ https://www.ncbi.nlm.nih.gov/pubmed/31417686 http://dx.doi.org/10.1098/rsos.180857 |
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