Evolution of hippocampal shapes across the human lifespan

Aberrant hippocampal morphology plays an important role in the pathophysiology of aging. Volumetric analysis of the hippocampus has been performed in aging studies; however, the shape morphometry—which is potentially more informative in terms of related cognition—has yet to be examined. In this pape...

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Main Authors: Chen, Annabel Shen-Hsing, Yang, Xianfeng., Goh, Alvina., Qiu, Anqi.
Other Authors: School of Humanities and Social Sciences
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/100753
http://hdl.handle.net/10220/16307
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1007532020-03-07T12:10:41Z Evolution of hippocampal shapes across the human lifespan Chen, Annabel Shen-Hsing Yang, Xianfeng. Goh, Alvina. Qiu, Anqi. School of Humanities and Social Sciences DRNTU::Engineering::Bioengineering Aberrant hippocampal morphology plays an important role in the pathophysiology of aging. Volumetric analysis of the hippocampus has been performed in aging studies; however, the shape morphometry—which is potentially more informative in terms of related cognition—has yet to be examined. In this paper, we employed an advanced brain mapping technique, large deformation diffeomorphic metric mapping (LDDMM), and a dimensionality reduction approach, locally linear diffeomorphic metric embedding (LLDME), to explore age-related changes in hippocampal shape as delineated from magnetic resonance (MR) images of 302 healthy adults aged from 18 to 94 years. Compared with the hippocampal volumes, the hippocampal shapes clearly showed the nonlinear trajectory of biological aging across the human lifespan, where the variation of hippocampal shapes by age was characterized by a cubic polynomial. By integrating of LDDMM and LLDME, we were also able to illustrate the average hippocampal shapes in each individual decade. In addition, LDDMM and LLDME facilitated the identification of 63 years as a threshold beyond which hippocampal morphological changes were accelerated. Adults over 63 years of age showed the inward-deformation bilaterally in the head of the hippocampi and the left subiculum regardless of hippocampal volume reduction when compared to adults younger than 63. Hence, we demonstrated that the shape of anatomical structures added another dimension of structural morphological quantification beyond the volume in understanding aging. 2013-10-08T08:45:10Z 2019-12-06T20:27:39Z 2013-10-08T08:45:10Z 2019-12-06T20:27:39Z 2012 2012 Journal Article Yang, X., Goh, A., Chen, A. S. H., & Qiu, A. (2012). Evolution of hippocampal shapes across the human lifespan. Human brain mapping. https://hdl.handle.net/10356/100753 http://hdl.handle.net/10220/16307 10.1002/hbm.22125 en Human brain mapping
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Bioengineering
spellingShingle DRNTU::Engineering::Bioengineering
Chen, Annabel Shen-Hsing
Yang, Xianfeng.
Goh, Alvina.
Qiu, Anqi.
Evolution of hippocampal shapes across the human lifespan
description Aberrant hippocampal morphology plays an important role in the pathophysiology of aging. Volumetric analysis of the hippocampus has been performed in aging studies; however, the shape morphometry—which is potentially more informative in terms of related cognition—has yet to be examined. In this paper, we employed an advanced brain mapping technique, large deformation diffeomorphic metric mapping (LDDMM), and a dimensionality reduction approach, locally linear diffeomorphic metric embedding (LLDME), to explore age-related changes in hippocampal shape as delineated from magnetic resonance (MR) images of 302 healthy adults aged from 18 to 94 years. Compared with the hippocampal volumes, the hippocampal shapes clearly showed the nonlinear trajectory of biological aging across the human lifespan, where the variation of hippocampal shapes by age was characterized by a cubic polynomial. By integrating of LDDMM and LLDME, we were also able to illustrate the average hippocampal shapes in each individual decade. In addition, LDDMM and LLDME facilitated the identification of 63 years as a threshold beyond which hippocampal morphological changes were accelerated. Adults over 63 years of age showed the inward-deformation bilaterally in the head of the hippocampi and the left subiculum regardless of hippocampal volume reduction when compared to adults younger than 63. Hence, we demonstrated that the shape of anatomical structures added another dimension of structural morphological quantification beyond the volume in understanding aging.
author2 School of Humanities and Social Sciences
author_facet School of Humanities and Social Sciences
Chen, Annabel Shen-Hsing
Yang, Xianfeng.
Goh, Alvina.
Qiu, Anqi.
format Article
author Chen, Annabel Shen-Hsing
Yang, Xianfeng.
Goh, Alvina.
Qiu, Anqi.
author_sort Chen, Annabel Shen-Hsing
title Evolution of hippocampal shapes across the human lifespan
title_short Evolution of hippocampal shapes across the human lifespan
title_full Evolution of hippocampal shapes across the human lifespan
title_fullStr Evolution of hippocampal shapes across the human lifespan
title_full_unstemmed Evolution of hippocampal shapes across the human lifespan
title_sort evolution of hippocampal shapes across the human lifespan
publishDate 2013
url https://hdl.handle.net/10356/100753
http://hdl.handle.net/10220/16307
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