Effects of Oxytocin on Reinforcement Learning and Interoception

January 17, 2024 updated by: Shuxia Yao, University of Electronic Science and Technology of China

The Modulatory Effects of Oxytocin on Reinforcement Learning and Interoceptive Processing

The main aim of the study is to investigate whether intranasal oxytocin has effects on reinforcement learning under dynamic environment and interoceptive processing based on behavioral and electroencephalogram (EEG) responses.

Study Overview

Status

Completed

Conditions

Detailed Description

A double-blinded, placebo-controled, between-subject design is employed in this study. In a randomized order, a total of 80 healthy males are instructed to self-administrated intranasal spray of oxytocin or placebo. (1) Participants first complete a probabilistic reward learning task 45 minutes after treatment with behavioral (response time and accuracy) and EEG data (ERP components such as FRN, ERN and P300) being collected during this task. (2) A resting-state recording and a heartbeat counting task are conducted following the learning task with ECG and EEG data being collected. Personality traits of subjects are assessed using validated Chinese version questionnaires including the Beck Depression Inventory (BDI-II), State-Trait Anxiety Inventory (STAI), Autism Spectrum Quotient (ASQ), the Cognitive Flexibility Inventory(CFI), Sensitivity to Punishment and Sensitivity to Reward Questionnaire (SPSRQ), Behavioral Inhibition System and Behavioral Activation System Scale (BIS/BAS). Subjects are asked to complete Positive and Negative Affect Schedule (PANAS) when they just arrive, before and after the tasks.

Study Type

Interventional

Enrollment (Actual)

80

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 Locations

    • Sichuan
      • Chengdu, Sichuan, China, 611731
        • University of Electronic Science and Technology of China (UESTC)

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 28 years (Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Healthy subjects without any past or present psychiatric or neurological disorders.

Exclusion Criteria:

  • History of brain injury medical or mental illness.

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: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: oxytocin
a single dose of 24 international units (IU) of OT will be administered with 3 puffs of treatment to each nostril.
Each subject will be assigned to intranasal administration of oxytocin (24 IU).
Experimental: placebo
a single dose of 24 international units (IU) of placebo will be administered with 3 puffs of treatment to each nostril.
Each subject will be assigned to intranasal placebo.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Behavioral index in the learning task: chioce accuracy
Time Frame: 45-65 minutes after treatment administration
The accuracy of subjects choosing the better option.
45-65 minutes after treatment administration
Behavioral index in the heartbeat counting task: interoceptive accuracy
Time Frame: 65-75 minutes after treatment administration
Individuals' ability to perceive internal cardiac signals
65-75 minutes after treatment administration

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
ERP components in the learning task: ERN, FRN, P300, N2pc
Time Frame: 45-65 minutes after treatment administration
ERN and FRN are indices of reward expectancy and prediction error in reinforcement learning. P300 is associated with attention allocation. N2pc is an early component associated with visual selective attention.
45-65 minutes after treatment administration
ERP components in the heartbeat counting task: heartbeat-evoked potential (HEP)
Time Frame: 65-75 minutes after treatment administration
HEP is a scalp event-related potential that reflects cortical processing of cardiac interoceptive signals
65-75 minutes after treatment administration

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Yao Shuxia, Dr, University of Electronic Science and Technology of China

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)

April 15, 2021

Primary Completion (Actual)

September 20, 2021

Study Completion (Actual)

December 15, 2021

Study Registration Dates

First Submitted

February 7, 2022

First Submitted That Met QC Criteria

February 8, 2022

First Posted (Actual)

February 18, 2022

Study Record Updates

Last Update Posted (Estimated)

January 19, 2024

Last Update Submitted That Met QC Criteria

January 17, 2024

Last Verified

January 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • UESTC-neuSCAN-83

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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