Joint contributions of cortical morphometry and white matter microstructure in healthy brain aging: A partial least squares correlation analysis
| Autor: | Kristen M. Kennedy, Jenny R. Rieck, Karen M. Rodrigue, David A. Hoagey |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Multivariate statistics brain Grey matter Biology Corpus callosum white matter connectivity 050105 experimental psychology Healthy Aging White matter Young Adult 03 medical and health sciences 0302 clinical medicine Fractional anisotropy medicine Cingulum (brain) Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Least-Squares Analysis Research Articles Aged Aged 80 and over Cerebral Cortex Radiological and Ultrasound Technology aging 05 social sciences Fornix surface area Anatomy Middle Aged cortical thickness white matter hyperintensities Covariance diffusion tensor imaging White Matter Hyperintensity Cross-Sectional Studies medicine.anatomical_structure Neurology Female Neurology (clinical) multivariate PLSC 030217 neurology & neurosurgery Research Article MRI Diffusion MRI |
| Zdroj: | Human Brain Mapping |
| ISSN: | 1097-0193 1065-9471 |
| DOI: | 10.1002/hbm.24774 |
| Popis: | Cortical atrophy and degraded axonal health have been shown to coincide during normal aging; however, few studies have examined these measures together. To lend insight into both the regional specificity and the relative timecourse of structural degradation of these tissue compartments across the lifespan, we analyzed grey matter (GM) morphometry (cortical thickness, surface area, volume) and estimates of white matter (WM) microstructure (fractional anisotropy, mean diffusivity) using traditional univariate and more robust multivariate techniques to examine age associations in 186 healthy adults aged 20-94 years old. Univariate analysis of each tissue type revealed that negative age associations were largest in frontal grey and white matter tissue and weaker in temporal, cingulate, and occipital regions, representative of not only an anterior-to-posterior gradient, but also a medial-to-lateral gradient. Multivariate partial least squares correlation (PLSC) found the greatest covariance between GM and WM was driven by the relationship between WM metrics in the anterior corpus callosum and projections of the genu, anterior cingulum, and fornix; and with GM thickness in parietal and frontal regions. Surface area was far less susceptible to age effects and displayed less covariance with WM metrics, while regional volume covariance patterns largely mirrored those of cortical thickness. Results support a retrogenesis-like model of aging, revealing a coupled relationship between frontal and parietal GM and the underlying WM, which evidence the most protracted development and the most vulnerability during healthy aging. |
| Databáze: | OpenAIRE |
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