Neural Mechanism Underlying Social Cognition in Depressive Patients
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|ClinicalTrials.gov Identifier: NCT03413670|
Recruitment Status : Unknown
Verified February 2018 by ma, yina, Beijing Normal University.
Recruitment status was: Recruiting
First Posted : January 29, 2018
Last Update Posted : February 7, 2018
|Condition or disease|
|Study Type :||Observational [Patient Registry]|
|Estimated Enrollment :||25 participants|
|Target Follow-Up Duration:||1 Month|
|Official Title:||Neural Mechanism Underlying Social Cognition in Depressive Patients|
|Actual Study Start Date :||January 1, 2017|
|Estimated Primary Completion Date :||February 8, 2018|
|Estimated Study Completion Date :||March 1, 2018|
- emotion recognition [ Time Frame: Baseline ]After viewing a video, participants will be asked to judge the person's attitude in the video. Through this paradigm, investigators could test emotional bias in social interaction in depressive patients.
- resting state [ Time Frame: Baseline ]In this part, investigators basically want to test the automatic neural activity for depressive patients while they are resting.
- self-reflection [ Time Frame: Baseline ]Participants will be asked to judge the discrepancy between actual self and ideal self.
- response to negative stimuli [ Time Frame: Baseline ]investigators used face-matching task to measure their response to negative stimuli. The participants will be asked to detect the identical face with same emotion.
- structure [ Time Frame: Baseline ]Investigators scanned structural images to detect the difference between clinical population and healthy population.
- white matter [ Time Frame: Baseline ]Investigators scanned DTI to detect the difference between clinical population and healthy population.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03413670
|Contact: Yina Ma, Doctoremail@example.com|
|Contact: Yina Ma, Doctor|
|Principal Investigator: Yina Ma, Doctor|