The Effect of Aging on Value Based Decision-making

NCT ID: NCT03341611

Last Updated: 2019-05-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

90 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-01-01

Study Completion Date

2018-04-30

Brief Summary

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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.

Detailed Description

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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).

Conditions

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Healthy Aging

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Adults 55 and younger

Neuro-imaging during behavioral decision-making task

Intervention Type BEHAVIORAL

All participants will make simple decisions while in a scanner.

Adults 55 and older

Neuro-imaging during behavioral decision-making task

Intervention Type BEHAVIORAL

All participants will make simple decisions while in a scanner.

Interventions

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Neuro-imaging during behavioral decision-making task

All participants will make simple decisions while in a scanner.

Intervention Type BEHAVIORAL

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of Southern California

OTHER

Sponsor Role lead

Responsible Party

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Isabelle Brocas

Professor of Economics

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Isabelle Brocas, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Southern California

Locations

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LABEL

Los Angeles, California, United States

Site Status

Countries

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United States

Other Identifiers

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1R21AG046917-01A1

Identifier Type: NIH

Identifier Source: org_study_id

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