Financial Decision Making in Old Age: A Cognitive Perspective S. - - PowerPoint PPT Presentation

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Financial Decision Making in Old Age: A Cognitive Perspective S. - - PowerPoint PPT Presentation

Financial Decision Making in Old Age: A Cognitive Perspective S. Duke Han, PhD, ABPP-CN Director of Neuropsychology in Family Medicine Associate Professor of Family Medicine, Neurology, Psychology, and Gerontology Keck School of Medicine of


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Financial Decision Making in Old Age: A Cognitive Perspective

  • S. Duke Han, PhD, ABPP-CN

Director of Neuropsychology in Family Medicine Associate Professor of Family Medicine, Neurology, Psychology, and Gerontology Keck School of Medicine of USC University of Southern California Palisades Alliance for Seniors March 12, 2018

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Background

  • Adults over the age of 65 hold 18.1 trillion of the 53.1 trillion

(approximately 1/3rd) in U.S. household net worth (Laibson, 2011).

  • A portion of older adults lose more than $3 billion annually to

financial scam or fraud (Metlife Inc., 2011), and some estimate this to be as high as $36 billion (True Link Financial, 2015).

  • The problem of financial and healthcare fraud targeted at elderly

persons is so significant that the FBI maintains a website dedicated to the problem:

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Park et al., 2013

Cognitive Ability Changes As We Age

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Raz et al., 2005

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Salthouse, 2015a

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  • N=648 nondemented older adults
  • Mean age=81.8, s.d.=7.6; mean number of years of education=15.2,

s.d=3.1; 76.8% female

Cognitive Ability Is Not the Whole Story

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Decision Making

  • Decision Making

– Cognitive processes

  • Aaention
  • Working memory
  • Executive functions

– Affective processes

  • Risk aversion
  • Impulsivity
  • Personality styles
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How Else Can We Understand Tiis?

  • Integration of the fields of

economics and neuroscience

  • Neuroscience methods are

used to elucidate the biology

  • f economic principles
  • Methods include brain

imaging and computational neuroscience

Schiller, 2011; Camerer et al., 2005

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Methods

  • Decision Making

– Cognitive processing – Affective processing – Personality styles – Behavioral Economics

  • Neuroimaging

– Volumetry – Diffusion Tensor Imaging – Functional connectivity

R01AG033678; PI: Patricia Boyle K23AG040625; PI: Duke Han

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Age-Associated Neuropathology

Buckner et al., 2008; Buckner et al., 2005; Lustig et al., 2003

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Tieoretical Neuroeconomic Model of Impaired Decision Making in Old Age

ACC PCC vmPFC hippo TPJ Angular Gyrus striatum DLPFC amyg VTA OFC Superior Long. Fasciculus Uncinate Fasciculus insula

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Risk Aversion

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Risk Aversion

  • Using a seed region of interest (ROI) in the anterior cingulate cortex (ACC); we

investigated whether there were rs-fMRI differences between older adults high and low in risk aversion.

  • “Would you prefer $15 for sure, OR a coin toss in which you will get $[an amount

greater than $15] if you flip heads or nothing if you flip tails?”

  • N=54 (27 high and 27 low) nondemented older adults
  • High risk averse mean age=83.9, s.d.=6.9; mean number of years of education=14.8,

s.d=2.5; 74% female; low risk averse mean age=80.0, s.d.=6.5; mean number of years of education=15.3, s.d=2.8, 70.3% female; age and total gray maaer used as a covariate

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Risk Aversion

HIGH/LOW Risk Aversion Contrast N=54 (27/27)

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Temporal Discounting

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Temporal Discounting

  • Temporal discounting refers to the discounting of greater delayed rewards for

smaller immediate rewards and is associated with a number of real-world

  • utcomes.
  • Using a seed region of interest (ROI) in the left and right fronto-insular cortex

(FI); we investigated whether there were rs-fMRI correlations with temporal discounting, accounting for age, education, gender, and global cognition.

  • N=123 nondemented older adults
  • Mean age=82.95, s.d.=6.64; mean number of years of education=15.67, s.d=3.20;

82.1% female

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HIGH->LOW Temporal Discounting FC of R Parahippocampal Seed ROI

Temporal Discounting

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Susceptibility to Scams

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Susceptibility to Scams

  • Voxel-based morphometry (VBM) to assess grey maaer density at

the voxel level

  • N=348 nondemented older adults
  • Mean age=81.55, s.d.=7.25; mean number of years of

education=15.30, s.d=2.91; 74.10% female

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Susceptibility to Scams

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Practical Steps: What Could Be Done?

  • Since cognitive ability is such a large-part of maintaining optimal

financial decision making, the activities that help maintain or improve cognition can help.

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Global Council on Brain Health

  • The Global Council on Brain Health (GCBH) is an independent

collaborative of scientists, health professionals, scholars and policy experts from around the world working in areas of brain health related to human cognition.

  • The GCBH is convened by AARP with support from AgeUK to offer

the best possible advice about what older adults can do to maintain and improve their brain health.

  • GCBH members come together to discuss specific lifestyle issue

areas that may impact peoples’ brain health as they age with the goal of providing evidence-based recommendations for people to consider incorporating into their lives. www.globalcouncilonbrainhealth.org

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Practical Steps: What Could Be Done?

  • Since cognitive ability is such a large-part of maintaining optimal

financial decision making, the activities that help maintain or improve cognition can help.

  • Increasing your financial literacy seems to have an impact on your

financial decision making, possibly through changing your brain.

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Financial Literacy

  • Using a seed region of interest (ROI) in the posterior cingulate cortex (PCC); we

investigated whether there were rs-fMRI correlations with financial literacy was associated with greater functional connectivity to ventromedial prefrontal cortex, accounting for age, education, gender, and global cognition.

  • N=139 nondemented older adults
  • Mean age=82.08, s.d.=7.17; mean number of years of education=15.70, s.d=3.29;

80.6% female

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Financial Literacy

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Financial Literacy

  • Diffusion Tensor Imaging (DTI) to investigate white maaer integrity
  • N=346 nondemented older adults
  • Mean age=81.36, s.d.=7.07; mean number of years of

education=15.39, s.d=3.03; 77.17% female

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GLM models adjusted for age, education, sex, and global cognition showing greater financial literacy is associated with greater white maaer integrity in specific pathways (N=346)

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Practical Steps: What Could Be Done?

  • Since cognitive ability is such a large-part of maintaining optimal

financial decision making, the activities that help maintain or improve cognition can help.

  • Increasing your financial literacy seems to have an impact on your

financial decision making, possibly through changing your brain.

  • Maintain your emotional health.
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Summary

  • A complex network of brain regions involving the ventromedial

prefrontal cortex, insula, medial temporal, and posterior parietal regions may be involved in poor decision making in old age.

  • Although poor cognition is associated with poor decision making,

poor decision making may not be due to poor cognition.

  • There are likely multiple factors that are involved in poor financial

decision making in old age.

  • These results are preliminary and more studies are needed to

replicate or confirm findings.

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Interested in participating? Contact us at HanResearchLab@gmail.com

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Acknowledgements

UNIVERSITY OF SOUTHERN CALIFORNIA

  • Laura Mosqueda, MD
  • Arie Kapteyn, PhD
  • Anya Samek, PhD
  • Annie Nguyen, PhD
  • Gali Weissberger, PhD
  • Caroline Nguyen, BS
  • Emanuil Parunakian
  • Jacqueline Chen
  • Via Strong
  • Morgan Goodman

RUSH UNIVERSITY

  • David Bennea, MD
  • Patricia Boyle, PhD
  • Lisa Barnes, PhD
  • Konstantinos Arfanakis, PhD
  • Debra Fleischman, PhD
  • Sue Leurgans, PhD
  • Bryan James, PhD
  • Lei Yu, PhD

FUNDING

  • NIA R01AG055430
  • NIA K23AG 040625 (Beeson Award)
  • NIA Health Disparities Administrative

Supplement

  • American Federation for Aging Research
  • John A. Hartford Foundation
  • National Institute for Justice
  • Elder Justice Foundation

HARVARD UNIVERSITY

  • Randy Buckner, PhD

WEILL CORNELL COLLEGE

  • Mark Lachs, MD