Prevailing opinion holds that normal brain aging is characterized by substantial atrophy of cortical gray matter. However, this conclusion is based on earlier studies whose findings may be influenced by the inclusion of subjects with subclinical cognitive disorders like preclinical dementia. The present magnetic resonance imaging study tested this hypothesis. Cognitively healthy subjects (mean age 72 years, range 52-82) who remained cognitively stable over a 3-year period were compared to subjects with significant cognitive decline. Subjects who developed dementia within 6 years after the scan session were excluded. The gray matter volumes of seven cortical regions were delineated on T1-weighted magnetic resonance imaging scans. Participants without cognitive decline did not exhibit an age effect on the gray matter volume. Conversely, participants with cognitive decline exhibited a significant age effect in all the seven areas. These results suggest that cortical gray matter atrophy may have been overestimated in studies on healthy aging, since most studies were unable to exclude participants with a substantial atypical cognitive decline or preclinical dementia. Our results underscore the importance of establishing stringent inclusion criteria for future studies on normal aging.
The present study investigated prefrontal cortex (PFC) atrophy as a possible predictor of dementia. Eighty-eight older participants of the Maastricht Aging Study (MAAS) were administered for neuropsychological tests at baseline and after three years (t 3 ). Magnetic resonance images were acquired at t 3 and nine years after baseline all participants were screened for dementia. Three groups were distinguished: (1) participants who did not develop dementia or cognitive decline, (2) participants who did not develop dementia but did show significant cognitive decline, and (3) participants who developed dementia. Gray matter volume of structures in the PFC and medial temporal lobe (MTL) was measured. Prefrontal volume was significantly smaller in group 3 than in the other two groups, and PFC volume was significantly better than MTL volume in distinguishing between groups 2 and 3. These findings suggest that PFC atrophy is highly associated with dementia and can be considered an important predictor of the disease. It may even be a better predictor than the MTL atrophy that has been found in earlier studies.
In psychological experiments involving facial stimuli, it is of great importance that the basic perceptual or psychological characteristics that are investigated are not confounded by factors such as brightness and contrast, head size, hair cut and color, skin color, and the presence of glasses and earrings. Standardization of facial stimulus materials reduces the effect of these confounding factors. We therefore employed a set of basic image processing techniques to deal with this issue. The processed images depict the faces in grayscale, all at the same size, brightness, and contrast, and confined to an oval mask revealing only the basic features such as the eyes, nose, and mouth. The standardization was successfully applied to four different face databases, consisting of male and female faces and including neutral as well as happy facial expressions. An important advantage of the proposed standardization is that featural as well as configurational information is retained. We also consider the procedure to be a major contribution to the development of a de facto standard for the use of facial stimuli in psychological experiments. Such methodological standardization would allow a better comparison of the results of these studies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.