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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


  1. 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

  2. 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:

  3. Cognitive Ability Changes As We Age Park et al., 2013

  4. Raz et al., 2005

  5. Salthouse, 2015a

  6. Cognitive Ability Is Not the Whole Story 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

  7. Decision Making • Decision Making – Cognitive processes • Aaention • Working memory • Executive functions – Affective processes • Risk aversion • Impulsivity • Personality styles

  8. How Else Can We Understand Ti is? Integration of the fields of • economics and neuroscience Neuroscience methods are • used to elucidate the biology of economic principles Methods include brain • imaging and computational neuroscience Schiller, 2011; Camerer et al., 2005

  9. Methods • Decision Making • Neuroimaging – Cognitive processing – Volumetry – Affective processing – Diffusion Tensor Imaging – Personality styles – Functional – Behavioral Economics connectivity R01AG033678; PI: Patricia Boyle K23AG040625; PI: Duke Han

  10. Age-Associated Neuropathology Buckner et al., 2008; Buckner et al., 2005; Lustig et al., 2003

  11. Ti eoretical Neuroeconomic Model of Impaired Decision Making in Old Age DLPFC PCC Superior Long. Fasciculus Angular ACC Gyrus TPJ insula striatum VTA hippo OFC amyg Uncinate Fasciculus vmPFC

  12. Risk Aversion

  13. 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

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

  15. Temporal Discounting

  16. 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 outcomes. 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

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

  18. Susceptibility to Scams

  19. 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

  20. Susceptibility to Scams

  21. 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.

  22. 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

  23. 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.

  24. 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

  25. Financial Literacy

  26. 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

  27. 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)

  28. 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. •

  29. 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.

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

  31. Acknowledgements UNIVERSITY OF SOUTHERN CALIFORNIA FUNDING Laura Mosqueda, MD NIA R01AG055430 • • Arie Kapteyn, PhD NIA K23AG 040625 (Beeson Award) • • Anya Samek, PhD NIA Health Disparities Administrative • • Supplement Annie Nguyen, PhD • American Federation for Aging Research • Gali Weissberger, PhD • John A. Hartford Foundation • Caroline Nguyen, BS • National Institute for Justice • Emanuil Parunakian • Elder Justice Foundation • Jacqueline Chen • Via Strong • HARVARD UNIVERSITY Morgan Goodman • Randy Buckner, PhD • RUSH UNIVERSITY WEILL CORNELL COLLEGE David Bennea, MD • Mark Lachs, MD • Patricia Boyle, PhD • Lisa Barnes, PhD • Konstantinos Arfanakis, PhD • Debra Fleischman, PhD • Sue Leurgans, PhD • Bryan James, PhD • Lei Yu, PhD •

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