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Normative cerebral cortical thickness for human visual areas
Studies of changes in cerebral neocortical thickness often rely on small control samples for comparison with specific populations with abnormal visual systems. We present a normative dataset for FreeSurfer-derived cortical thickness across 25 human visual areas derived from 960 participants in the H...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892250/ https://www.ncbi.nlm.nih.gov/pubmed/31352123 http://dx.doi.org/10.1016/j.neuroimage.2019.116057 |
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author | Alvarez, Ivan Parker, Andrew J. Bridge, Holly |
author_facet | Alvarez, Ivan Parker, Andrew J. Bridge, Holly |
author_sort | Alvarez, Ivan |
collection | PubMed |
description | Studies of changes in cerebral neocortical thickness often rely on small control samples for comparison with specific populations with abnormal visual systems. We present a normative dataset for FreeSurfer-derived cortical thickness across 25 human visual areas derived from 960 participants in the Human Connectome Project. Cortical thickness varies systematically across visual areas, in broad agreement with canonical visual system hierarchies in the dorsal and ventral pathways. In addition, cortical thickness estimates show consistent within-subject variability and reliability. Importantly, cortical thickness estimates in visual areas are well described by a normal distribution, making them amenable to direct statistical comparison. |
format | Online Article Text |
id | pubmed-6892250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Academic Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68922502019-12-16 Normative cerebral cortical thickness for human visual areas Alvarez, Ivan Parker, Andrew J. Bridge, Holly Neuroimage Article Studies of changes in cerebral neocortical thickness often rely on small control samples for comparison with specific populations with abnormal visual systems. We present a normative dataset for FreeSurfer-derived cortical thickness across 25 human visual areas derived from 960 participants in the Human Connectome Project. Cortical thickness varies systematically across visual areas, in broad agreement with canonical visual system hierarchies in the dorsal and ventral pathways. In addition, cortical thickness estimates show consistent within-subject variability and reliability. Importantly, cortical thickness estimates in visual areas are well described by a normal distribution, making them amenable to direct statistical comparison. Academic Press 2019-11-01 /pmc/articles/PMC6892250/ /pubmed/31352123 http://dx.doi.org/10.1016/j.neuroimage.2019.116057 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alvarez, Ivan Parker, Andrew J. Bridge, Holly Normative cerebral cortical thickness for human visual areas |
title | Normative cerebral cortical thickness for human visual areas |
title_full | Normative cerebral cortical thickness for human visual areas |
title_fullStr | Normative cerebral cortical thickness for human visual areas |
title_full_unstemmed | Normative cerebral cortical thickness for human visual areas |
title_short | Normative cerebral cortical thickness for human visual areas |
title_sort | normative cerebral cortical thickness for human visual areas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892250/ https://www.ncbi.nlm.nih.gov/pubmed/31352123 http://dx.doi.org/10.1016/j.neuroimage.2019.116057 |
work_keys_str_mv | AT alvarezivan normativecerebralcorticalthicknessforhumanvisualareas AT parkerandrewj normativecerebralcorticalthicknessforhumanvisualareas AT bridgeholly normativecerebralcorticalthicknessforhumanvisualareas |