Literature DB >> 22044475

Neural intrinsic connectivity networks associated with risk aversion in old age.

S Duke Han1, Patricia A Boyle, Konstantinos Arfanakis, Debra A Fleischman, Lei Yu, Emily C Edmonds, David A Bennett.   

Abstract

Risk aversion is associated with several important real world outcomes. Although the neurobiological correlates of risk aversion have been studied in young persons, little is known of the neurobiological correlates of risk aversion among older persons. Resting-state functional MRI data were collected on 134 non-demented participants of the Rush Memory and Aging Project, a community-based cohort study of aging. Risk aversion was measured using a series of standard questions in which participants were asked to choose between a certain monetary payment ($15) versus a gamble in which they could gain more than $15 or gain nothing, with potential gains varied across questions. Participants determined to be "high" (n=27) and "low" (n=27) in risk aversion were grouped accordingly. Using a spherical seed region of interest in the anterior cingulate cortex, voxel-wise functional connectivity network similarities were observed in bilateral frontal, anterior and posterior cingulate, insula, basal ganglia, temporal, parietal, and thalamic regions. Differences in functional connectivity were observed such that those low in risk aversion had greater connectivity to clusters in the superior, middle, and medial frontal regions, as well as cerebellar, parietal, occipital, and inferior temporal regions. Those high in risk aversion had greater connectivity to clusters in the inferior and orbital frontal, parahippocampal, and insula regions, as well as thalamic, parietal, precentral gyrus, postcentral gyrus, and middle temporal regions. Similarities and differences in functional connectivity patterns may reflect the historical recruitment of specific brain regions as a network in the active processing of risk in older adults.
Copyright © 2011 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22044475      PMCID: PMC3242855          DOI: 10.1016/j.bbr.2011.10.026

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  32 in total

1.  Abstract reward and punishment representations in the human orbitofrontal cortex.

Authors:  J O'Doherty; M L Kringelbach; E T Rolls; J Hornak; C Andrews
Journal:  Nat Neurosci       Date:  2001-01       Impact factor: 24.884

2.  A hybrid approach to the skull stripping problem in MRI.

Authors:  F Ségonne; A M Dale; E Busa; M Glessner; D Salat; H K Hahn; B Fischl
Journal:  Neuroimage       Date:  2004-07       Impact factor: 6.556

3.  Risk taking during decision-making in normal volunteers changes with age.

Authors:  Julia Deakin; Michael Aitken; Trevor Robbins; Barbara J Sahakian
Journal:  J Int Neuropsychol Soc       Date:  2004-07       Impact factor: 2.892

4.  Improved combination of spiral-in/out images for BOLD fMRI.

Authors:  Gary H Glover; Moriah E Thomason
Journal:  Magn Reson Med       Date:  2004-04       Impact factor: 4.668

5.  The neural basis of financial risk taking.

Authors:  Camelia M Kuhnen; Brian Knutson
Journal:  Neuron       Date:  2005-09-01       Impact factor: 17.173

6.  Object selectivity of local field potentials and spikes in the macaque inferior temporal cortex.

Authors:  Gabriel Kreiman; Chou P Hung; Alexander Kraskov; Rodrigo Quian Quiroga; Tomaso Poggio; James J DiCarlo
Journal:  Neuron       Date:  2006-02-02       Impact factor: 17.173

7.  Increased activation in the right insula during risk-taking decision making is related to harm avoidance and neuroticism.

Authors:  Martin P Paulus; Corianne Rogalsky; Alan Simmons; Justin S Feinstein; Murray B Stein
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

8.  Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization.

Authors:  Koene R A Van Dijk; Trey Hedden; Archana Venkataraman; Karleyton C Evans; Sara W Lazar; Randy L Buckner
Journal:  J Neurophysiol       Date:  2009-11-04       Impact factor: 2.714

9.  Imputing Risk Tolerance From Survey Responses.

Authors:  Miles S Kimball; Claudia R Sahm; Matthew D Shapiro
Journal:  J Am Stat Assoc       Date:  2008-09-01       Impact factor: 5.033

10.  Molecular, structural, and functional characterization of Alzheimer's disease: evidence for a relationship between default activity, amyloid, and memory.

Authors:  Randy L Buckner; Abraham Z Snyder; Benjamin J Shannon; Gina LaRossa; Rimmon Sachs; Anthony F Fotenos; Yvette I Sheline; William E Klunk; Chester A Mathis; John C Morris; Mark A Mintun
Journal:  J Neurosci       Date:  2005-08-24       Impact factor: 6.167

View more
  8 in total

1.  Overview and findings from the rush Memory and Aging Project.

Authors:  David A Bennett; Julie A Schneider; Aron S Buchman; Lisa L Barnes; Patricia A Boyle; Robert S Wilson
Journal:  Curr Alzheimer Res       Date:  2012-07       Impact factor: 3.498

2.  The dissociation between early and late selection in older adults.

Authors:  Brittany R Alperin; Anna E Haring; Tatyana Y Zhuravleva; Phillip J Holcomb; Dorene M Rentz; Kirk R Daffner
Journal:  J Cogn Neurosci       Date:  2013-08-05       Impact factor: 3.225

Review 3.  Religious Orders Study and Rush Memory and Aging Project.

Authors:  David A Bennett; Aron S Buchman; Patricia A Boyle; Lisa L Barnes; Robert S Wilson; Julie A Schneider
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

4.  Risk Aversion is Associated with Decision Making among Community-Based Older Persons.

Authors:  Patricia A Boyle; Lei Yu; Aron S Buchman; David A Bennett
Journal:  Front Psychol       Date:  2012-06-28

5.  Cognitive decline is associated with risk aversion and temporal discounting in older adults without dementia.

Authors:  Bryan D James; Patricia A Boyle; Lei Yu; S Duke Han; David A Bennett
Journal:  PLoS One       Date:  2015-04-02       Impact factor: 3.240

6.  How Does Psychosocial Behavior Contribute to Cognitive Health in Old Age?

Authors:  Robert S Wilson; David A Bennett
Journal:  Brain Sci       Date:  2017-05-23

7.  The neural correlates of risk propensity in males and females using resting-state fMRI.

Authors:  Yuan Zhou; Shu Li; John Dunn; Huandong Li; Wen Qin; Maohu Zhu; Li-Lin Rao; Ming Song; Chunshui Yu; Tianzi Jiang
Journal:  Front Behav Neurosci       Date:  2014-01-28       Impact factor: 3.558

8.  Susceptibility to Scams in Older Black and White Adults.

Authors:  S Duke Han; Lisa L Barnes; Sue Leurgans; Lei Yu; Christopher C Stewart; Melissa Lamar; Crystal M Glover; David A Bennett; Patricia A Boyle
Journal:  Front Psychol       Date:  2021-07-12
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.