Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study
Differences in the way human cerebral cortices fold have been correlated to health, disease, development, and aging. However, to obtain a deeper understanding of the mechanisms that generate such differences, it is useful to derive one's morphometric variables from the first principles. This st...
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Format: | Article |
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Frontiers Media S.A.
2022-07-01
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Series: | Frontiers in Neuroscience |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.897226/full |
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author | Fernanda H. P. de Moraes Victor B. B. Mello Fernanda Tovar-Moll Bruno Mota |
author_facet | Fernanda H. P. de Moraes Victor B. B. Mello Fernanda Tovar-Moll Bruno Mota |
author_sort | Fernanda H. P. de Moraes |
collection | DOAJ |
description | Differences in the way human cerebral cortices fold have been correlated to health, disease, development, and aging. However, to obtain a deeper understanding of the mechanisms that generate such differences, it is useful to derive one's morphometric variables from the first principles. This study explores one such set of variables that arise naturally from a model for universal self-similar cortical folding that was validated on comparative neuroanatomical data. We aim to establish a baseline for these variables across the human lifespan using a heterogeneous compilation of cross-sectional datasets as the first step to extending the model to incorporate the time evolution of brain morphology. We extracted the morphological features from structural MRI of 3,650 subjects: 3,095 healthy controls (CTL) and 555 patients with Alzheimer's Disease (AD) from 9 datasets, which were harmonized with a straightforward procedure to reduce the uncertainty due to heterogeneous acquisition and processing. The unprecedented possibility of analyzing such a large number of subjects in this framework allowed us to compare CTL and AD subjects' lifespan trajectories, testing if AD is a form of accelerated aging at the brain structural level. After validating this baseline from development to aging, we estimate the variables' uncertainties and show that Alzheimer's Disease is similar to premature aging when measuring global and local degeneration. This new methodology may allow future studies to explore the structural transition between healthy and pathological aging and may be essential to generate data for the cortical folding process simulations. |
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format | Article |
id | doaj.art-9de88cd461054201a7956531891128c2 |
institution | Directory Open Access Journal |
issn | 1662-453X |
language | English |
last_indexed | 2024-04-13T04:57:15Z |
publishDate | 2022-07-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Neuroscience |
spelling | doaj.art-9de88cd461054201a7956531891128c22022-12-22T03:01:26ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2022-07-011610.3389/fnins.2022.897226897226Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite StudyFernanda H. P. de Moraes0Victor B. B. Mello1Fernanda Tovar-Moll2Bruno Mota3Brain Connectivity Unit, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, BrazilmetaBIO, Instituto de Física, Universidade Federal do Rio de Janeiro, Rio de Janeiro, BrazilBrain Connectivity Unit, Instituto D'Or de Pesquisa e Ensino, Rio de Janeiro, BrazilmetaBIO, Instituto de Física, Universidade Federal do Rio de Janeiro, Rio de Janeiro, BrazilDifferences in the way human cerebral cortices fold have been correlated to health, disease, development, and aging. However, to obtain a deeper understanding of the mechanisms that generate such differences, it is useful to derive one's morphometric variables from the first principles. This study explores one such set of variables that arise naturally from a model for universal self-similar cortical folding that was validated on comparative neuroanatomical data. We aim to establish a baseline for these variables across the human lifespan using a heterogeneous compilation of cross-sectional datasets as the first step to extending the model to incorporate the time evolution of brain morphology. We extracted the morphological features from structural MRI of 3,650 subjects: 3,095 healthy controls (CTL) and 555 patients with Alzheimer's Disease (AD) from 9 datasets, which were harmonized with a straightforward procedure to reduce the uncertainty due to heterogeneous acquisition and processing. The unprecedented possibility of analyzing such a large number of subjects in this framework allowed us to compare CTL and AD subjects' lifespan trajectories, testing if AD is a form of accelerated aging at the brain structural level. After validating this baseline from development to aging, we estimate the variables' uncertainties and show that Alzheimer's Disease is similar to premature aging when measuring global and local degeneration. This new methodology may allow future studies to explore the structural transition between healthy and pathological aging and may be essential to generate data for the cortical folding process simulations.https://www.frontiersin.org/articles/10.3389/fnins.2022.897226/fullcortical foldingagingAlzheimer's Diseaseharmonizationbaseline estimation |
spellingShingle | Fernanda H. P. de Moraes Victor B. B. Mello Fernanda Tovar-Moll Bruno Mota Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study Frontiers in Neuroscience cortical folding aging Alzheimer's Disease harmonization baseline estimation |
title | Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study |
title_full | Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study |
title_fullStr | Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study |
title_full_unstemmed | Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study |
title_short | Establishing a Baseline for Human Cortical Folding Morphological Variables: A Multisite Study |
title_sort | establishing a baseline for human cortical folding morphological variables a multisite study |
topic | cortical folding aging Alzheimer's Disease harmonization baseline estimation |
url | https://www.frontiersin.org/articles/10.3389/fnins.2022.897226/full |
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