Unconscious Processing in Decision-making

Behavioral Evidence on the Modulators of Unconscious Processing in Decision-making

This behavioral study on healthy participants aims to provide a baseline reference for assessing alterations of decision-making performance in pathological conditions. To this purpose, this single center non-interventional behavioral study will assess the extent to which decision-making performance is affected by distinct experimental manipulations, as well as by ageing effects, in 200 healthy individuals. The main questions it aims to answer are:

  • to what extent is decision-making performance stable, within individuals, regardless of non-economic manipulations concerning stimuli perceptual features as well as type of processing and motor response required to participants?
  • are these manipulations additionally influenced by participants' age?

Healthy participants will be recruited for distinct behavioral studies assessing the effects of the aforementioned manipulations of distinct metrics of decision-making performance, such as loss aversion, risk aversion, and delay discounting.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

The fast growth of so-called Decision Neuroscience has clearly shown the implications of methods and results from behavioral economics as a potential bridge for translational research in neuro-psychiatric settings. The combination of behavioral and neural metrics allows to describe decision-making across multiple levels of explanation ranging from biological dispositions to contextual influences. To date, however, the translational implications of Decision Neuroscience are constrained by a relatively limited knowledge of the potential modulators of decision-making, which seem to include perceptual, cognitive and motor variables. In this regard, there is largely sparse evidence concerning the modulation of choices by highly different factors such as a) perceptual features of the stimuli (e.g., spatial distance between visually-presented potential gains and losses); b) type of processing required to participants (e.g., select vs. reject an option); c) type of motor response required to communicate the decision (e.g., press vs. release a button); d) subliminal vs. supraliminal perception of the stimuli. Moreover, there is evidence of ageing effects on decision-making, particularly when choice-related evaluations involve a trade-off between reward and risk. On this ground, this single center non-interventional behavioral study aims to investigate whether, and how, distinct well-established metrics of decision-making are influenced by the aforementioned factors. To this purpose, 200 healthy individuals will be recruited and assigned to different behavioral studies aimed to assess the effect of the aforementioned manipulations on well-established gambling tasks resulting in individual metrics of loss aversion (the tendency to prefer avoiding losses to acquiring equivalent gains), risk aversion (the preference for certain outcomes over probabilistic ones), and delay discounting (the decline in the present value of a reward with delay to its receipt). The results of this study are expected to provide a baseline reference for assessing alterations of decision-making performance in pathological conditions.

Study Type

Observational

Enrollment (Estimated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Ita
      • Pavia, Ita, Italy, 27100

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 60 years (Adult)

Accepts Healthy Volunteers

N/A

Sampling Method

Probability Sample

Study Population

200 healty individuals, aged 18-60 years, sampled from the general population

Description

Inclusion Criteria:

  • Healthy participants, as determined by screening assessments and principal investigator judgment
  • The participant must be able to comply with study requirements as judged by the principal investigator

Exclusion Criteria:

  • Any history of alcohol and/or drug abuse, addiction or suspicion of regular consumption of drugs of abuse
  • Use of any psychoactive medication, or medications known to have effect on central nervous system

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
All healthy participants
Healthy participants will be recruited and assigned to different behavioral studies assessing the effect of the experimental manipulations of interest on decision-making metrics.
No intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Individual index of loss aversion
Time Frame: Behavioral-study day 1
This variable reflect the spontaneous disposition to overweigh potential losses, compared with equivalent gains in decision-making, resulting in the tendency to avoid potential losses more than approach potential gains.
Behavioral-study day 1

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Individual index of risk aversion
Time Frame: Behavioral-study day 1
This variable reflect the spontaneous preference for certain, compared with probabilistic, outcomes, resulting in the tendency to avoid risky options regardless of their expected value.
Behavioral-study day 1
Individual index of delay discounting
Time Frame: Behavioral-study day 1
This variable reflects the tendency to discount delayed utilities/rewards compared with immediate ones, resulting in choices driven by the impulsive search for immediate gains regardless of potential larger future outcomes.
Behavioral-study day 1

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 24, 2021

Primary Completion (Estimated)

December 31, 2025

Study Completion (Estimated)

December 31, 2025

Study Registration Dates

First Submitted

March 7, 2023

First Submitted That Met QC Criteria

March 7, 2023

First Posted (Actual)

March 20, 2023

Study Record Updates

Last Update Posted (Actual)

April 9, 2024

Last Update Submitted That Met QC Criteria

April 8, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

Requests for sharing will assessed case by case, and data will be made available on reasonable request.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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