Neurobiology of Aging · 2014 · 319 citations · 58 references
EducationNeurobiologyNeuroscienceAgingGerontologyNeurodegenerationAge DifferencesAge-related Physiologic ChangesAge-related Physiological ChangesBiomarkers Of NeurodegenerationCognitive AgingNeuropathology Of AgingAge-related Brain ChangesAge-related DegenerationAge-related Neurodegenerative MechanismsBrain Atrophy In AgingBrain Microstructure ImagingQuantitative Magnetic Resonance ImagingWhite Matter AgingWhite Matter Microstructure
A pressing need exists to disentangle age-related changes from pathologic neurodegeneration. This study aims to characterize the spatial pattern and age-related differences of biologically relevant measures in vivo over the course of normal aging. Quantitative multiparameter maps that provide neuroimaging biomarkers for myelination and iron levels, parameters sensitive to aging, were acquired from 138 healthy volunteers (age range: 19-75 years). Whole-brain voxel-wise analysis revealed a global pattern of age-related degeneration. Significant demyelination occurred principally in the white matter. The observed age-related differences in myelination were anatomically specific. In line with invasive histologic reports, higher age-related differences were seen in the genu of the corpus callosum than the splenium. Iron levels were significantly increased in the basal ganglia, red nucleus, and extensive cortical regions but decreased along the superior occipitofrontal fascicle and optic radiation. This whole-brain pattern of age-associated microstructural differences in the asymptomatic population provides insight into the neurobiology of aging. The results help build a quantitative baseline from which to examine and draw a dividing line between healthy aging and pathologic neurodegeneration.
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John Ashburner · NeuroImage · 2007 · 8.3K citations
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Arno Klein, Jesper Andersson, Babak A. Ardekani et al. · NeuroImage · 2009 · 2.3K citations · Full text