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Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality
Gray matter volume for cortical, subcortical, and ventricles all vary with age. However, these volumetric changes do not happen on their own, there are also age-related changes in cortical folding and other measures of brain shape. Fractal dimensionality has emerged as a more sensitive measure of br...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997150/ https://www.ncbi.nlm.nih.gov/pubmed/36911503 http://dx.doi.org/10.1016/j.nbas.2021.100016 |
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author | Madan, Christopher R. |
author_facet | Madan, Christopher R. |
author_sort | Madan, Christopher R. |
collection | PubMed |
description | Gray matter volume for cortical, subcortical, and ventricles all vary with age. However, these volumetric changes do not happen on their own, there are also age-related changes in cortical folding and other measures of brain shape. Fractal dimensionality has emerged as a more sensitive measure of brain structure, capturing both volumetric and shape-related differences. For subcortical structures it is readily apparent that segmented structures do not differ in volume in isolation—adjacent regions must also vary in shape. Fractal dimensionality here also appears to be more sensitive to these age-related differences than volume. Given these differences in structure are quite prominent in structure, caution should be used when examining comparisons across age in brain function measures, as standard normalisation methods are not robust enough to adjust for these inter-individual differences in cortical structure. |
format | Online Article Text |
id | pubmed-9997150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99971502023-03-09 Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality Madan, Christopher R. Aging Brain Article Gray matter volume for cortical, subcortical, and ventricles all vary with age. However, these volumetric changes do not happen on their own, there are also age-related changes in cortical folding and other measures of brain shape. Fractal dimensionality has emerged as a more sensitive measure of brain structure, capturing both volumetric and shape-related differences. For subcortical structures it is readily apparent that segmented structures do not differ in volume in isolation—adjacent regions must also vary in shape. Fractal dimensionality here also appears to be more sensitive to these age-related differences than volume. Given these differences in structure are quite prominent in structure, caution should be used when examining comparisons across age in brain function measures, as standard normalisation methods are not robust enough to adjust for these inter-individual differences in cortical structure. Elsevier 2021-05-28 /pmc/articles/PMC9997150/ /pubmed/36911503 http://dx.doi.org/10.1016/j.nbas.2021.100016 Text en © 2021 The Author(s) https://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 Madan, Christopher R. Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality |
title | Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality |
title_full | Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality |
title_fullStr | Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality |
title_full_unstemmed | Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality |
title_short | Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality |
title_sort | beyond volumetry: considering age-related changes in brain shape complexity using fractal dimensionality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997150/ https://www.ncbi.nlm.nih.gov/pubmed/36911503 http://dx.doi.org/10.1016/j.nbas.2021.100016 |
work_keys_str_mv | AT madanchristopherr beyondvolumetryconsideringagerelatedchangesinbrainshapecomplexityusingfractaldimensionality |