The Effect of Aging on Value Based Decision-making

A Neuroeconomic Study of Choice Consistency in Aging

The investigators propose to study the effect of aging on the neural circuitry involved in valuation and value reasoning and to relate it to choice anomalies and inconsistencies. Quantifying and characterizing valuation-based decision-making deficits in older adults, and their relationship to the aging brain, can inform and facilitate intervention - both at the level of the individual and at the level of policy.

Study Overview

• Status: Completed
• Conditions: Healthy Aging
• Intervention / Treatment: Behavioral: Neuro-imaging during behavioral decision-making task

Detailed Description

The attribution of value to prospects is a fundamental element of decision-making, as most day-to-day decisions involve comparing items. Studies on aging document behaviors reflecting difficulties in making comparisons between options, in particular when those options are complex. Given the growing complexity of economic products (insurance, savings, mortgages or even telephone plans), older adults may have difficulty making decisions that accurately reflect their underlying preferences. It is plausible that this difficulty is linked to age-related brain function decline within sectors of the lateral prefrontal cortex implicated in working memory and cognitive control. This study assesses age-related changes in how the brain computes value and makes value comparisons using a well-established economic paradigm, the "generalized axiom of revealed preference" (GARP) Task, that tests the internal consistency of a subject's preferences by offering repeated choices between bundles of goods. A preliminary study suggests that aging is associated with greater GARP-Task inconsistency. Although the neural correlates of GARP inconsistency have not been directly established, indirect evidence suggests that the medial orbitofrontal cortex is important in all value-based decision-making, and that areas in the lateral prefrontal and parietal cortices (fronto-parietal network) are important for maintaining consistency in complex decisions (e.g., multi-attribute decisions). Aging is associated with structural and functional deficits within the fronto-parietal network. Therefore, the investigators believe that studying the neural correlates of the GARP-Task is a promising approach to investigate decision-making deficits in aging. The investigators will recruit 45 young adults, and 45 old adults. Participants will complete the GARP-Task and an functional Magnetic resonance imaging (fMRI) variant designed to isolate neural correlates of valuation of single items, of multiple instances of the same item ("scaling") and of sets of distinct items ("bundles"). Brain activity will be related to diagnosis and to variance in GARP-Task inconsistency. Given the prominence of age-related decline in working memory, the investigators hypothesize that age will be associated with higher GARP-Task inconsistency and to deficits in conditions that require manipulation of value signals (scaling and bundles). The investigators anticipate that these deficits will be associated with low recruitment within the fronto-parietal network and with reduced functional connectivity between this network and the medial Orbitofrontal Cortex (OFC).

• Study Type: Observational
• Enrollment (Actual): 90

Contacts and Locations

Study Locations

• United States
  • California
    • Los Angeles, California, United States, 90089
      • LABEL

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Healthy adults above 18yo

Description

Inclusion Criteria:

• Healthy adults

Exclusion Criteria:

• 1- Subjects under 18yo . 2- Subjects with known cognitive disorders 3- Subjects with visual or auditory deficits that would interfere with the ability to complete the experimental tasks.

  4- Subjects reporting having metal implants 5- Subjects with a history of major anxiety disorder or other major psychiatric condition, 6- Subjects with a documented or subjectively reported claustrophobia. 7- Subjects thinking they are or may be pregnant. 8- Subjects with a history of head trauma that resulted in loss of consciousness for more than 5 minutes.

  9-Hx of seizures 10-Left Handed 11- On any medications affecting cognition 12- For tasks involving foods: a) Currently on diet and or b) any known food allergies

Study Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
Adults 55 and younger	Behavioral: Neuro-imaging during behavioral decision-making task; All participants will make simple decisions while in a scanner.
Adults 55 and older	Behavioral: Neuro-imaging during behavioral decision-making task; All participants will make simple decisions while in a scanner.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Computerized behavioral choice task	The task consists in 450 trials. In each trial, the participant needs to choose between food items presented on a computer screen. Frequency of choices is used to assess the ranking (or value) of these food items and inconsistencies in choices are recorded. Food items vary in complexity (from single items to complex bundles).	2 hours
Brain imaging to track brain regions involving in value	fMRI images are collected during part of the behavioral choice task. Behavioral measures are used to track value encoding as well as inconsistent choices in the brain (as a function of item complexity). These data are eventually aggregated across participants in each condition (using standard methods) to identify the regions of interest involved in our experiment.	1 hour

Collaborators and Investigators

• Sponsor: University of Southern California
• Investigators: Principal Investigator: Isabelle Brocas, PhD, University of Southern California

Study record dates

Study Major Dates

• Study Start (Actual): January 1, 2016
• Primary Completion (Actual): April 30, 2018
• Study Completion (Actual): April 30, 2018

Study Registration Dates

• First Submitted: November 6, 2017
• First Submitted That Met QC Criteria: November 8, 2017
• First Posted (Actual): November 14, 2017

Study Record Updates

• Last Update Posted (Actual): May 22, 2019
• Last Update Submitted That Met QC Criteria: May 20, 2019
• Last Verified: May 1, 2019

More Information

Terms related to this study

• Other Study ID Numbers: 1R21AG046917-01A1 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: YES
• IPD Plan Description: We will share all data and results.
• IPD Sharing Time Frame: After publication
• IPD Sharing Supporting Information Type: STUDY_PROTOCOL; SAP; ANALYTIC_CODE

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No