Does Caffeine Facilitate Human Reward Learning Behaviors? (ADoRe)

March 16, 2026 updated by: Yu-Shiuan Lin

Caffeine and Reward Learning: Characterizing Behavioral Expression of Adenosine-Dopamine Interaction

"Learning from the rewards" is underlying the formulation of knowledge and habits in daily life. Caffeine is the most commonly used "psychoactive" substance that could change one's mind state by affecting the brain and nervous system. By such effects, caffeine enhances reward signals - dopamine - in human brains. In this research study, we will find out whether taking caffeine acutely or daily can enhance reward learning processes.

Study Overview

Status

Active, not recruiting

Conditions

Intervention / Treatment

Detailed Description

Reward learning is associated with the formulation of habits, memories, and beliefs. Positive (receiving an unexpected reward) and negative reinforcement (eliminating an unwanted state) learning are primarily modulated by striatal dopamine D1 and D2 receptors. While caffeine, a psychostimulant regularly consumed by 80% worldwide population, is known to facilitate striatal dopamine signaling, the potential of caffeine on enhancing reward learning in humans remains unknown.

In this double-blind, randomized, crossover study, 36 young healthy non-smoking habitual caffeine consumers (daily dose 100 - 450 mg) who are aged between 18 and 40 will be examined. Each of the 36 participants (18 F, 18 M) will undergo an acute caffeine condition, a daily caffeine condition, and a daily placebo condition. Each condition consists of 7 days - 6 ambulatory days followed by 1 laboratory visit.

In the ambulatory part, participants will abstain from caffeine, nicotine, medications, and recreational drugs. Compliance to the interventions and abstinence of caffeine will be monitored by salivary caffeine concentration every day. Bedtime and sleep quality will be recorded in sleep diary. On the laboratory visit, participants will perform cognitive tasks on a 2.5h task battery, which includes a probabilistic selection task, a motor inhibition task, and a salience attribution test. We also measure their arousal and anxiety levels 1h after the second intake on the laboratory visit.

We will use Bayes factor analyses to test our confirmatory hypotheses (on the primary outcomes): 1) Caffeine enhances the accuracy of reward learning; 2) Daily intake of caffeine facilitates the negative reinforcement compared to acute its intake. On the secondary outcomes, we examine the exploratory hypotheses that caffeine enhances motor inhibition and motivational salience. Arousal and anxiety levels will be examined as a covariate which potentially contribute to the caffeine-induced changes in reward learning performance.

Study Type

Interventional

Enrollment (Estimated)

36

Phase

  • Not Applicable

Contacts and Locations

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

Study Contact

Study Locations

    • Canton of Basel-City
      • Basel, Canton of Basel-City, Switzerland, CH-4002
        • Centre for Chronobiology, University Psychiatric Clinics Basel

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

14 years to 36 years (Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Age ≥ 18 and ≤ 40
  • Clinically healthy
  • Non-smokers

Exclusion Criteria:

  • Habitual caffeine intake < 100 mg or > 450 mg
  • Pregnant or lactating women
  • Women using hormonal contraceptives
  • BMI < 18.5 or > 29.9
  • Sleep disturbance or extreme chronotypes
  • Nicotine or recreational drug users
  • Depression, anxiety, psychosis, or neurologic disorders
  • Severe heart or cardiovascular diseases
  • Diabetes or metabolic diseases
  • Under chronic medications
  • Incapable to operate the tasks or comprehend the study information in German or English
  • Users of the Bopomo alphates utilized as stimuli in the reward learning tasks
  • Current enrolment in other clinical trials

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

  • Primary Purpose: Basic Science
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: Triple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Placebo Comparator: Placebo
7 days placebo intake.
two doses per day: 200 mg in the morning & 100 mg in the afternoon
Active Comparator: Acute caffeine
6 days placebo followed by 1 day caffeine intake.
two doses per day: 200 mg in the morning & 100 mg in the afternoon
two doses per day: 200 mg caffeine in the morning; 100 mg caffeine in the afternoon
Experimental: Daily caffeine
7 days caffeine intake
two doses per day: 200 mg caffeine in the morning; 100 mg caffeine in the afternoon

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The accuracy (% of correct answers) in implicit learning through different probabilities of monetary reward feedback
Time Frame: 1-hour after the second intake on the 7th day
Through a probabilistic selection task, participant will go through a training phase to learn the rules which options may be more likely to return monetary feedback, and the knowledge learned will be tested in a second phase where the task difficulty is increased, and no feedback is provided. The overall accuracy in the testing phases will be examined, as well as the accuracies in choosing or avoiding the highest and lowest reward-probability stimuli.
1-hour after the second intake on the 7th day

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The errors in motor inhibition (rates of false alarm) in a motor inhibition task
Time Frame: 1.5-hour after the second intake on the 7th day
Through a reaction-inhibition task (Go/NoGo), participants will go through two phases of the task: 1) Only respond to a specific stimulus when it shows; 2) Respond to all stimuli except for the specific stimulus. The accuracy in motor inhibition will be indicated by the errors made in the no-go signals (i.e. false alarm).
1.5-hour after the second intake on the 7th day
Salience attribution behaviors
Time Frame: 1.5-hour after the second intake on the 7th day
subjective perception towards the probabilities (0 -100%) of reward feedback from each choice in the probabilistic selection task.
1.5-hour after the second intake on the 7th day

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Self-report anxiety levels
Time Frame: 1-hour after the second intake on the 7th day
State-Trait Anxiety Inventory for Adults (STAI-A) is used to examine the subjective anxiety levels in general as a trait (20 questions) and as a current state (20 questions). Participants will rate the levels using a Likert's scale (For trait - 0: Almost never, 1: Sometimes, 2: Often, 3: Almost always; For current state - 0: not at all, 1: Somewhat, 2: Moderately so, 3: Very much so).
1-hour after the second intake on the 7th day
Subjective sleepiness and alertness
Time Frame: 1-hour after the second intake on the 7th day
Self-report one-question Karolinska Sleepiness Scale is used to rate the subjective sleepiness/alertness from 1 (very awake), 3 (awake), 5 (neither awake or tired), 7 (tired but no problem to stay awake), to 9 (very tired, big problem to stay awake, struggling with sleep), and 2, 4, 6, 8 for intermediate levels.
1-hour after the second intake on the 7th day
heart rate measurement
Time Frame: 1-hour after the second intake on the 7th day
heart rates (per min)
1-hour after the second intake on the 7th day
blood pressure measurement
Time Frame: 1-hour after the second intake on the 7th day
systolic and diastolic blood pressure
1-hour after the second intake on the 7th day

Collaborators and Investigators

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

Sponsor

Investigators

  • Principal Investigator: Yu-Shiuan Lin, PhD, Centre for Chronobiology, University Psychiatric Clinics Basel

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 5, 2022

Primary Completion (Actual)

December 31, 2025

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

March 28, 2022

First Submitted That Met QC Criteria

April 12, 2022

First Posted (Actual)

April 13, 2022

Study Record Updates

Last Update Posted (Actual)

March 17, 2026

Last Update Submitted That Met QC Criteria

March 16, 2026

Last Verified

March 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • CChronobiology

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

IPD data, including SAP, CSR, and analytic codes, will be made available on OSF or provided upon requests after the data requested are published.

IPD Sharing Time Frame

Data will be made available after publishing (estimated to be July 2023).

IPD Sharing Access Criteria

Researchers who are interested in using IPD data from ADoRe can either contact the Sponsor-Investigator (ys.lin@unibas.ch, Yu-Shiuan Lin, PhD) or access from ADoRe project on OSF (https://osf.io/wzf2y/). Please note that the data folder of this project will be only accessible after publishing.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • ANALYTIC_CODE
  • CSR

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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