Effects of Caffeine on Reinforcement Learning in Healthy Adults Using PET/MRI
Caffeine-RAC
Measure Striatal Adenosine-dopamine Receptors Interactions: from Molecule to Behaviors
2 other identifiers
interventional
12
1 country
1
Brief Summary
This research study aims to determine whether and how caffeine intake affects learning process through reward feedback compared to placebo. The data acquired from this study would improve our understanding on the consequence and mechanism of caffeine intake in the aspect of learning process. Participants will perform a reinforcement learning task (i.e. Probabilistic Selection Task) and a motor inhibition task (i.e. Go/NoGo task) in a brain scan. The scan will be done with the Siemens Biograph mMR positron emission tomography (PET)/ magnetic resonance imaging (MRI) 3 Tesla scanner. The PET allows us to see the changes in the "reward signals" - dopamine - in the brain using a radioactive dye called \[11C\]Raclopride. The MRI, on the other hand, enables us to take detailed pictures of the brain activities during cognitive tasks using a high-powered magnet. Reviewing these pictures will help us understand the influence of caffeine on reward signals and brain activities during the learning process.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for phase_4 healthy
Started May 2023
Longer than P75 for phase_4 healthy
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 17, 2023
CompletedFirst Submitted
Initial submission to the registry
December 31, 2024
CompletedFirst Posted
Study publicly available on registry
January 8, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2026
January 9, 2025
January 1, 2025
3.6 years
December 31, 2024
January 7, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Dopamine D2/D3 receptor availability
Dopamine D2/D3 receptor availability will be measured and indexed by the \[11C\]Raclopride nondisplaceable binding potential (BPND).
During the PET/fMRI scan on the study day
Effects of caffeine on reinforcement learning assessed by Probabilistic Selection Task (PST) in fMRI
Reinforcement learning and the associated brain activity will be measured using PST in a fMRI scan. The reinforcement learning is indexed by the accuracy of the task performance on the behavioral level and the hemodynamic response to reward feedback on the neural level.
During the PET/fMRI scan on the study day
Secondary Outcomes (2)
Effects of caffeine on motor inhibition assessed by a Go/NoGo task in fMRI
During the PET/fMRI scan on the study day
Effects of caffeine on salience measured by Salience Attribution Test (SAT)
After the PET/fMRI scan on the study day
Other Outcomes (4)
Effects of caffeine on cerebral blood flow
During the PET/fMRI scan on the study day
Effects of caffeine on subjective sleepiness as measured by Karolinska Sleepiness Scale (KSS)
After the PET/fMRI scan on the study day
Effects of caffeine on anxiety levels measured by State-Trait Anxiety Inventory- adult version (STAI-A)
After the PET/fMRI scan on the study day
- +1 more other outcomes
Study Arms (2)
Caffeine
EXPERIMENTALCaffeine tablet, 200mg
Placebo
PLACEBO COMPARATORLactose tablet
Interventions
Caffeine (200mg) will be administered per os 20 minutes prior to the PET/fMRI data acquisition.
Lactose tablet will be administered per os 20 minutes prior to the PET/fMRI data acquisition.
Eligibility Criteria
You may qualify if:
- Age ≥ 18 and ≤ 45.
- Habitual caffeine intake ≥ 100 mg and ≤ 450 mg daily.
- Non-smokers.
- Clinically healthy.
- Have normal vision or corrected to normal vision.
You may not qualify if:
- Pregnant or lactating women.
- Women using hormonal contraceptives.
- BMI \< 18.5 or \> 29.9
- Sleep disturbance or extreme chronotype.
- Urine test positive on one of the following substances: benzoylecgonine, morphine, d-Methamphetamine, d-Amphetamine, Benzodiazepines, Secobarbital, Methadone, Buprenorphine Glucuronide, Nortriptyline, MDMA, Oxycodone, PCP, Propoxyphene, and Cannabis/THC
- Diagnosis of depression, anxiety, psychosis, or neurologic disorders in the last 5 years.
- Heart or cardiovascular diseases.
- Diabetes or other metabolic diseases.
- Under chronic medications, for instance, painkiller and steroid.
- Allergy to lactose (main ingredient of blank control dose)
- Incapable to operate the tasks or comprehend the study information in English.
- Metallic foreign bodies such as cardiac pacemakers, perfusion pumps, aneurysm clips, metallic tattoos anywhere on the body, tattoos near the eye.
- Pre-existing medical conditions including a likelihood of developing seizures or claustrophobic reactions
- Inability to lie flat on scanner bed for about 90 min as assessed by physical examination and medical history (e.g. arthritis)
- Recent exposure to radiation (i.e., PET from other research studies) that, when combined with this study, would be above the allowable limits
- +2 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Hsiao-Ying Weylead
Study Sites (1)
Athinoula A. Martinos Center for Biomedical Imaging
Charlestown, Massachusetts, 02129, United States
Related Publications (6)
Bedingfield JB, King DA, Holloway FA. Cocaine and caffeine: conditioned place preference, locomotor activity, and additivity. Pharmacol Biochem Behav. 1998 Nov;61(3):291-6. doi: 10.1016/s0091-3057(98)00092-6.
PMID: 9768563BACKGROUNDMoran EK, Culbreth AJ, Kandala S, Barch DM. From neuroimaging to daily functioning: A multimethod analysis of reward anticipation in people with schizophrenia. J Abnorm Psychol. 2019 Oct;128(7):723-734. doi: 10.1037/abn0000461. Epub 2019 Aug 29.
PMID: 31464449BACKGROUNDVolkow ND, Wang GJ, Telang F, Fowler JS, Logan J, Wong C, Ma J, Pradhan K, Tomasi D, Thanos PK, Ferre S, Jayne M. Sleep deprivation decreases binding of [11C]raclopride to dopamine D2/D3 receptors in the human brain. J Neurosci. 2008 Aug 20;28(34):8454-61. doi: 10.1523/JNEUROSCI.1443-08.2008.
PMID: 18716203BACKGROUNDKaasinen V, Aalto S, Nagren K, Rinne JO. Dopaminergic effects of caffeine in the human striatum and thalamus. Neuroreport. 2004 Feb 9;15(2):281-5. doi: 10.1097/00001756-200402090-00014.
PMID: 15076753BACKGROUNDVolkow ND, Wang GJ, Logan J, Alexoff D, Fowler JS, Thanos PK, Wong C, Casado V, Ferre S, Tomasi D. Caffeine increases striatal dopamine D2/D3 receptor availability in the human brain. Transl Psychiatry. 2015 Apr 14;5(4):e549. doi: 10.1038/tp.2015.46.
PMID: 25871974BACKGROUNDFerre S, Bonaventura J, Tomasi D, Navarro G, Moreno E, Cortes A, Lluis C, Casado V, Volkow ND. Allosteric mechanisms within the adenosine A2A-dopamine D2 receptor heterotetramer. Neuropharmacology. 2016 May;104:154-60. doi: 10.1016/j.neuropharm.2015.05.028. Epub 2015 Jun 4.
PMID: 26051403BACKGROUND
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- phase 4
- Allocation
- RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- BASIC SCIENCE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Prof.
Study Record Dates
First Submitted
December 31, 2024
First Posted
January 8, 2025
Study Start
May 17, 2023
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
December 31, 2026
Last Updated
January 9, 2025
Record last verified: 2025-01
Data Sharing
- IPD Sharing
- Will share
- Time Frame
- Data will be available at the end of the NIMH grant (anticipated 1/1/2027). Data and the code/software/tools used to develop the published or submitted dataset will be shared at the time of data submission or publication and maintained for no shorter than 5 years.
Raw, subject-level data files will be submitted to NIMH Data Archive (NDA). These include \[11C\]Raclopride PET data as well as behavioral and fMRI data from Probabilistic Selection Tasks and Go/Nogo tasks. Other behavioral data e.g. Salience Attribution Tests, Karolinska Sleepiness Scale, and State-Trait Anxiety Inventory, as well as fMRI data e.g. Arterial Spin Labeling and resting state fMRI will also be included. Relevant resources, such as code used for data processing and analyses, will be made publicly available through GitHub. The main readme.md file for the project will include instructions and parameter choices to execute the codes/scripts. Code documentation will include instructions on how to access data, the name and email address of a contact person for questions, and relevant references to publications. To ensure long-term accessibility, a copy of the GitHub code repository will be archived in Zenodo at the time of publication with a digital object identifier (DOI).