Matter In Healthy Adults Research Articles

Test-retest reliability of 3D spiral fast-spin-echo pseudo-continuous arterial spin labeling for cerebral perfusion imaging of subcortical gray matter in healthy adults

To evaluate the test-retest reliability of 3D spiral fast-spin-echo (FSE) pseudo-continuous arterial spin labeling (3D pc-ASL) for cerebral perfusion imaging of the subcortical gray matter in healthy adults in resting state. 3D spiral FSE ASL and 3D T1-weighted fast spoiled gradient recalled echo (3D T1-FSPGR) sequences were used for cerebral perfusion imaging in 8 healthy adult subjects, and a repeat imaging examination was performed after one week. The subcortical gray matter structures including the putamen, globus pallidus, caudate nucleus, thalamus, amygdala and hippocampus were segmented on the brain structural 3D images to generate the cerebral blood flow (CBF) map. The CBF value was extracted based on the segmented images and the CBF maps. The reliability and reproducibility of the measurements were evaluated using the intraclass correlation coefficient (ICC) and Bland-Altman plot. The mean ICC value of the subcortical gray matter structures was 0.88∓0.04 (range, 0.80-0.93). The Bland-Altman plot analysis demonstrated that the differences between the two measurements at all the points corresponding to the subcortical gray matter structures were within 95% CI of the limits of agreement. 3D spiral FSE pseudo-continuous ASL is a reliable method for assessing the perfusion of the cerebral subcortical gray matter structures.

Normal-appearing cerebral white matter in healthy adults: mean change over 2 years and individual differences in change

Diffusion tensor imaging studies show age-related differences in cerebral white matter (WM). However, few have studied WM changes over time, and none evaluated individual differences in change across a wide age range. Here, we examined 2-year WM change in 96 healthy adults (baseline age, 19–78 years), individual differences in change, and the influence of vascular and metabolic risk thereon. Fractional anisotropy (FA), axial diffusivity, and radial diffusivity (RD) represented microstructural properties of normal-appearing WM within 13 regions. Cross-sectional analyses revealed age-related differences in all WM indices across the regions. In contrast, latent change score analyses showed longitudinal declines in axial diffusivity in association and projection fibers and increases in anterior commissural fibers. FA and RD evidenced a less consistent pattern of change. Metabolic risk mediated the effects of age on FA and RD change in corpus callosum body and dorsal cingulum. These findings underscore the importance of longitudinal studies in evaluating individual differences in change and the role of metabolic factors in shaping trajectories of brain aging.

Age related differences in reaction time components and diffusion properties of normal-appearing white matter in healthy adults

Deterioration of the white matter (WM) is viewed as the neural substrate of age differences in speed of information processing (reaction time, RT). However, the relationship between WM and RT components is rarely examined in healthy aging. We assessed the relationship between RT components derived from the Ratcliff diffusion model and micro-structural properties of normal-appearing WM (NAWM) in 90 healthy adults (age 18–82 years). We replicated all major extant findings pertaining to age differences in RT components and WM: lower drift rate, greater response conservativeness, longer non-decision time, lower fractional anisotropy (FA), greater mean (MD), axial (AD) and radial (RD) diffusivity were associated with advanced age. Age differences in anterior regions of the cerebral WM exceeded those in posterior regions. However, the only relationship between RT components and WM was the positive association between DR in the body of the corpus callosum and non-decision time. Thus, in healthy adults, age differences in NAWM diffusion properties are not a major contributor to age differences in RT components. Longitudinal studies with more precise and specific estimates of regional myelin content and evaluation of the contribution of age-related vascular risk factors are necessary to understand cerebral substrates of age-related cognitive slowing.

A longitudinal study of the relationship between personality traits and the annual rate of volume changes in regional gray matter in healthy adults

To investigate whether personality traits affect the rate of decline of gray matter volume, we analyzed the relationships between personality traits and the annual rate of changes of gray matter volume in 274 healthy community dwelling subjects with a large age range by applying a longitudinal design over 6 years, using brain magnetic resonance images (MRI) and the Revised NEO Personality Inventory (NEO-PI-R) at baseline. Brain MRI data were processed using voxel-based morphometry with a custom template by applying the DARTEL diffeomorphic registration tool. For each subject, we used NEO-PI-R to evaluate the five major personality traits, including neuroticism, extraversion, openness, agreeableness, and conscientiousness. The results show that the annual rate of change in regional gray matter volume in the right inferior parietal lobule was correlated significantly and negatively with a personality of openness, which is known to be related to intellect, intellectual curiosity, and creativity adjusting for age, gender, and intracranial volume. This result indicates that subjects with a personality trait of less openness have an accelerated loss of gray matter volume in the right inferior parietal lobule, compared with subjects with a personality trait of more openness. Because the right inferior parietal lobule is involved in higher cognitive function such as working memory and creativity, a personality trait of openness is thought to be important for preserving gray matter volume and cognitive function of the right inferior parietal lobule in healthy adults.

A longitudinal study of age- and gender-related annual rate of volume changes in regional gray matter in healthy adults

The aim of this study was to analyze correlations among the annual rate of gray matter volume change, age, gender, and cerebrovascular risk factors in 381 healthy community-dwelling subjects with a large age range by applying a longitudinal design over 6 years using brain magnetic resonance images (MRIs). Brain MRI data were processed with voxel-based morphometry using a custom template by applying diffeomorphic anatomical registration using the exponentiated lie algebra procedure. The annual rate of regional gray matter volume change showed significant positive correlations with age in several regions, including the bilateral temporal pole, caudate nucleus, ventral and dorsolateral prefrontal cortices, insula, hippocampus, and temporoparietal cortex, whereas significant negative correlations with age were observed in several regions including the bilateral cingulate gyri and anterior lobe of the cerebellum. Additionally, a significant age-by-gender interaction was found for the annual rate of regional gray matter volume change in the bilateral hippocampus. No significant correlations were observed between the annual rate of regional gray matter volume change and body mass index or systolic blood pressure. A significant positive correlation between the annual rate of gray matter volume change and age indicates that the region shows not linear but accelerated gray matter loss with age. Therefore, evaluating the annual rate of the gray matter volume change with age in healthy subjects is important in understanding how gray matter volume changes with aging in each brain region and in anticipating what cognitive functions are likely to show accelerated decline with aging.