The Effect of Oxytocin on Reinforcement Learning
Study Details
Study Description
Brief Summary
The main aim of the study is to investigate whether intranasal oxytocin has effects on reinforcement learning under dynamic environment based on behavioral and electroencephalogram (EEG) responses.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
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. A probabilistic reward learning task starts 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. 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 learning task.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Experimental: oxytocin a single dose of 24 international units (IU) of OT will be administered with 3 puffs of treatment to each nostril. |
Drug: Intranasal oxytocin
Each subject will be assigned to intranasal administration of oxytocin (24 IU).
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Experimental: placebo a single dose of 24 international units (IU) of placebo will be administered with 3 puffs of treatment to each nostril. |
Drug: intranasal placebo
Each subject will be assigned to intranasal placebo.
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Outcome Measures
Primary Outcome Measures
- Behavioral index: chioce accuracy [45-75 minutes after treatment administration]
The accuracy of subjects choosing the better option.
Secondary Outcome Measures
- ERP components: ERN, FRN, P300 [45-75 minutes after treatment administration]
ERN and FRN are indices of reward expectancy and prediction error in reinforcement learning. P300 is associated with attention allocation.
Eligibility Criteria
Criteria
Inclusion Criteria:
- Healthy subjects without any past or present psychiatric or neurological disorders.
Exclusion Criteria:
- History of brain injury medical or mental illness.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | University of Electronic Science and Technology of China (UESTC) | Chengdu | Sichuan | China | 611731 |
Sponsors and Collaborators
- University of Electronic Science and Technology of China
Investigators
- Principal Investigator: Yao Shuxia, Dr, University of Electronic Science and Technology of China
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- UESTC-neuSCAN-83