| Literature DB >> 31858236 |
Brian Rooks1,2, Mia Anthony3,4, Quanjing Chen3,5, Ying Lin4, Timothy Baran6,7, Zhengwu Zhang8,9, Peter A Lichtenberg10, Feng Lin11,12,13,14,15.
Abstract
Making reasonable decisions related to financial and health scenarios is a crucial capacity that can be difficult for older adults to maintain as they age, yet few studies examine neurocognitive factors that are generalizable to different types of everyday decision-making capacity. Here we propose an innovative approach, based on individual risk-taking preference, to identify neural profiles that may help predict older adults' everyday decision-making capacity. Using performance and cognitive arousal information from two gambling tasks, we identified three decision-making preference groups: ambiguity problem-solvers (A), risk-seekers (R), and a control group without strong risk-taking preferences (C). Comparisons of the number of connections within white matter tracts between A vs. C and R vs. C groups resulted in features consistent with the theory of dual neural functional systems involved in decision-making. Unique tracts from the A vs. C contrast were primarily centered in dorsal frontal regions/reflective system; unique tracts from the R vs. C contrast were centered in the ventral frontal regions/impulsive system; and shared tracts from both contrasts were centered in the basal ganglia, coordinating the switch between the two types of decision-making preference. Number of connections from the tracts differentiating A vs. C significantly predicted financial and health/safety decision-making capacity, and the association remained significant after controlling for multiple socioeconomic and cognitive factors. The connectome identified may provide insight into a generic white matter mechanism related to everyday decision-making capacity in older age.Entities:
Keywords: Aging; Connectome; Everyday decision-making; Gambling task; White matter
Mesh:
Year: 2019 PMID: 31858236 PMCID: PMC7274871 DOI: 10.1007/s00429-019-02013-5
Source DB: PubMed Journal: Brain Struct Funct ISSN: 1863-2653 Impact factor: 3.748