Correlation of Audiovisual Features With Clinical Variables and Neurocognitive Functions in Bipolar Disorder, Mania
NCT03857438 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 89
Last updated 2019-02-28
Summary
The aim of this study is to show the physiological changes during manic episode in bipolar mania how much they differentiate from remission and healthy control. Relation of audio-visual features as physiological changes and cognitive functions and clinical variables will be searched. The aim is to find biologic markers for predictors of treatment response via machine learning techniques to be able to reduce treatment resistance and give an idea for personalized treatment of bipolar patients.
Conditions
- Bipolar Disorder, Manic
- Artificial Intelligence
- Neurocognition
- Treatment Resistant Disorders
- Affective Computing
- Multi- Modal Analysis
Interventions
- DRUG
-
Ongoing treatment for bipolar mania
Prescribed by the following doctor during hospitalization and after discharge
- DIAGNOSTIC_TEST
-
Audiovisual recording during guided presentation
Seven tasks such as explaining the reason to come to hospital/participate in the activity, describing happy and sad memories, counting up to thirty, explaining two emotion eliciting pictures
Sponsors & Collaborators
-
Namik Kemal University
collaborator OTHER -
Bosphorus University
collaborator UNKNOWN -
Istanbul Saglik Bilimleri University
lead OTHER
Principal Investigators
-
Heysem Kaya, Ass Prof · Namik Kemal University
-
Ali A Salah, Ass Prof · Bogazici University
-
Hüseyin Gülec, Ass Prof · İstanbul Saglık Bilimleri University
-
Elvan Ciftci, MD PhD · İstanbul Saglık Bilimleri University
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2016-09-30
- Primary Completion
- 2017-02-20
- Completion
- 2017-07-08
Countries
- Turkey (Türkiye)
Study Locations
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