Disentangling in vivo the effects of iron content and atrophy on the ageing human brain.
Bottom Line: Evidence from magnetic resonance imaging (MRI) studies shows that healthy aging is associated with profound changes in cortical and subcortical brain structures.The reliable delineation of cortex and basal ganglia using automated computational anatomy methods based on T1-weighted images remains challenging, which results in controversies in the literature.We interpret our findings as direct evidence for the impact of ageing-related brain tissue property changes on automated tissue classification of brain structures using SPM12.
Affiliation: LREN, Dept. of Clinical Neurosciences, CHUV, University of Lausanne, Lausanne Switzerland.Show MeSH
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Mentions: The GM volume differences between MT and R1 based GM volume estimations correlated positively with R2* maps in caudate, ventral part of putamen and pallidum, substantia nigra, lateral geniculate body of thalamus, cingulate, prefrontal cortex and dentate as reported in Table 2 (Fig. 3). The body of the caudate correlated positively with R2*, age and with the combined contribution of the two (see Figs. 3, 4, 5). Within our cohort the computed mean Pearson correlation coefficient between R2* and PD* was − 0.65 (p < 0.05).
Affiliation: LREN, Dept. of Clinical Neurosciences, CHUV, University of Lausanne, Lausanne Switzerland.