A generic brain connectome map linked to different types of everyday decision-making in old age.


Journal

Brain structure & function
ISSN: 1863-2661
Titre abrégé: Brain Struct Funct
Pays: Germany
ID NLM: 101282001

Informations de publication

Date de publication:
May 2020
Historique:
received: 26 07 2019
accepted: 14 12 2019
pubmed: 21 12 2019
medline: 26 2 2021
entrez: 21 12 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 31858236
doi: 10.1007/s00429-019-02013-5
pii: 10.1007/s00429-019-02013-5
pmc: PMC7274871
mid: NIHMS1547026
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1389-1400

Subventions

Organisme : NIA NIH HHS
ID : P30 AG015281
Pays : United States
Organisme : NIA NIH HHS
ID : R21 AG053193
Pays : United States
Organisme : NIA NIH HHS
ID : R21AG053193
Pays : United States

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Auteurs

Brian Rooks (B)

Department of Biostatistics and Computational Biology, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA. Brian_Rooks@urmc.rochester.edu.
Elaine C. Hubbard Center for Nursing Research On Aging, School of Nursing, University of Rochester Medical Center, Rochester, NY, USA. Brian_Rooks@urmc.rochester.edu.

Mia Anthony (M)

Elaine C. Hubbard Center for Nursing Research On Aging, School of Nursing, University of Rochester Medical Center, Rochester, NY, USA.
Department of Brain and Cognitive Sciences, University of Rochester, Rochester, USA.

Quanjing Chen (Q)

Elaine C. Hubbard Center for Nursing Research On Aging, School of Nursing, University of Rochester Medical Center, Rochester, NY, USA.
Department of Psychiatry, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA.

Ying Lin (Y)

Department of Brain and Cognitive Sciences, University of Rochester, Rochester, USA.

Timothy Baran (T)

Department of Imaging Science, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA.
Department of Biomedical Engineering, University of Rochester, Rochester, USA.

Zhengwu Zhang (Z)

Department of Biostatistics and Computational Biology, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA.
Department of Neuroscience, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA.

Peter A Lichtenberg (PA)

Institute of Gerontology, Wayne State University, Detroit, USA.

Feng Lin (F)

Elaine C. Hubbard Center for Nursing Research On Aging, School of Nursing, University of Rochester Medical Center, Rochester, NY, USA. FengVankee_Lin@urmc.rochester.edu.
Department of Psychiatry, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA. FengVankee_Lin@urmc.rochester.edu.
Department of Brain and Cognitive Sciences, University of Rochester, Rochester, USA. FengVankee_Lin@urmc.rochester.edu.
Department of Neuroscience, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA. FengVankee_Lin@urmc.rochester.edu.
Department of Neurology, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, USA. FengVankee_Lin@urmc.rochester.edu.

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