Exploring the relationship between personality and regional brain volume in healthy aging
- PMID: 20036035
- PMCID: PMC2891197
- DOI: 10.1016/j.neurobiolaging.2009.12.009
Exploring the relationship between personality and regional brain volume in healthy aging
Abstract
Aging is characterized by a reduction in regional brain volumes, particularly in prefrontal and medial temporal regions. Recent evidence suggests that personality may be related to neuroanatomical integrity. The present investigation explored whether the three targeted personality traits of neuroticism, conscientiousness, and extraversion moderated cross-sectional age-related decline in measures of neural integrity. Estimates of the personality traits and volumes of cerebral gray and white matter, prefrontal and medial temporal regions were obtained in a sample of 79 healthy adults aged 44-88. Higher neuroticism was associated with smaller regional volumes and greater decreases in volume with increasing age. Higher conscientiousness was related to larger regional volumes and less decline with advancing age. These results suggest that personality may not only relate to, but may also moderate age-related cross-sectional decline in prefrontal and medial temporal regions.
Copyright © 2009 Elsevier Inc. All rights reserved.
Conflict of interest statement
Disclosure Statement
The authors and their institution have no conflicts of interest related to this work. The sources of financial support were NIH grants P50 AG05861, P01 AG 03991, PO1 AGO26276 and National Institute of General Medical Sciences grant T32-GM81739. The data contained in this manuscript have not previously been published, nor has the manuscript been submitted elsewhere, nor will it be submitted elsewhere while under review. Appropriate ethical guidelines were followed with regard to the treatment of human subjects. Participant consent was obtained in accordance with the Washington University Human Research Protection Office. All authors have reviewed the manuscript and approve of its contents and validate the accuracy of the data.
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