Cited by 64Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesDementia and Cognitive Impairment Research

Regional heterogeneity in limbic maturational changes: Evidence from integrating cortical thickness, volumetric and diffusion tensor imaging measures

Grieve, Stuart M., Korgaonkar, Mayuresh S., Clark, C. Richard, Williams, Leanne M.·2011·NeuroImage

Abstract

Magnetic resonance imaging (MRI) studies of structural brain development have suggested that the limbic system is relatively preserved in comparison to other brain regions with healthy aging. The goal of this study was to systematically investigate age-related changes of the limbic system using measures of cortical thickness, volumetric and diffusion characteristics. We also investigated if the "relative preservation" concept is consistent across the individual sub-regions of the limbic system. T1 weighted structural MRI and Diffusion Tensor Imaging data from 476 healthy participants from the Brain Resource International Database was used for this study. Age-related changes in grey matter (GM)/white matter (WM) volume, cortical thickness, diffusional characteristics for the pericortical WM and for the fiber tracts associated with the limbic regions were quantified. A regional variability in the aging patterns across the limbic system was present. Four important patterns of age-related changes were highlighted for the limbic sub-regions: 1. early maturation of GM with late loss in the hippocampus and amygdala; 2. an extreme pattern of GM preservation in the entorhinal cortex; 3. a flat pattern of reduced GM loss in the anterior cingulate and the parahippocampus and; 4. accelerated GM loss in the isthmus and posterior cingulate. The GM volumetric data and cortical thickness measures proved to be internally consistent, while the diffusional measures provided complementary data that seem consistent with the GM trends identified. This heterogeneity can be hypothesized to be associated with age-related changes of cognitive function specialized for that region and direct connections to the other brain regions sub-serving these functions.

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Crossref · 10.1016/j.neuroimage.2010.12.087

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  • Factors that might contribute to increased vulnerability to trauma in the developing brain include age-specific differences in myelination rates, synaptic pruning, neurotrophic factor levels, brain water content, cerebral blood flow, and glucocorticoid receptor expression.

    “Factors that might contribute to increased vulnerability to trauma in the developing brain include age-specific differences in myelination rates, synaptic pruning, neurotrophic factor levels, brain water content, cerebral blood flow, and glucocorticoid receptor expression [69, 76, 183].”

    From The neuropathology of sport (2014) · cites this paper as [76]

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Authors
Grieve, S. M., Korgaonkar, M. S., Clark, C. R., & Williams, L. M.
Affiliations
  • The University of Sydney (AU)
  • Flinders University (AU)
Corresponding author
Grieve, Stuart M.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2011-04
Volume
55
Issue
3
Pages
868-879
ISSN
1053-8119 (ISSN-L)
OpenAlex
W1979114778
Cited by
64
References
79
Citations by year
2025: 1 · 2024: 4 · 2023: 2 · 2022: 1 · 2021: 4 · 2020: 3 · 2019: 4 · 2018: 5 · 2017: 2 · 2016: 4 · 2015: 9 · 2014: 5 · 2013: 10 · 2012: 9
FWCI
5.87
Type
journal article
Language
en
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
limbic system, brain aging, regional heterogeneity, cortical thickness, gray matter volume, white matter, diffusion tensor imaging, hippocampus, amygdala, entorhinal cortex, anterior cingulate cortex, parahippocampal cortex, posterior cingulate cortex, isthmus, structural brain development, cognitive aging
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Aging, Cerebral Cortex, Child, Female, Gyrus Cinguli, Hippocampus, Humans, Image Processing, Computer-Assisted, Limbic System, Male, Middle Aged, Neural Pathways, Databases, Factual, Anisotropy, Entorhinal Cortex, Fornix, Brain, Young Adult, Diffusion Tensor Imaging

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