Mental Disorder
Conditions
Brief summary
This study aims to build a multi-modal collection template and establish a multi-modal database of seven mental disorders including depressive disorders, bipolar disorders, schizophrenia, obsessive-compulsive disorder, anxiety disorders, addictive disorders and sleep-wake disorders by collecting voice information, facial micro-expression, eye tracking, EEG physiology data respectively. This study will contribute to the multi-modal diagnosis of major mental disorders such as depression in the future and realize clinical application.
Interventions
None listed
Sponsors
Shanghai Mental Health Center
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
15 Years to 60 Years
Healthy volunteers
Yes
Inclusion criteria
1. Meet the diagnostic criteria of ICD-11 or DSM-5 for depressive disorders, bipolar disorders, schizophrenia, obsessive-compulsive disorder, anxiety disorders, addictive disorders and sleep-wake disorders, and do not limit subtypes and current disease state; 2. Age 15-60; 3. Han nationality; 4. gender is not limited; 5. have enough audition level to complete the necessary inspection of the research; 6. Understand the research content and sign the informed consent form. If the patient is unable to sign the informed consent form in person due to low education level or other reasons, he or she can be entrusted to sign it by his relatives or his guardian.
Exclusion criteria
1. Mental retardation that significantly affects the patient's current mental state; 2. Patients who have serious physical diseases, and it is difficult to complete the necessary examination, including the history of brain trauma or cerebrovascular disease, severe liver cirrhosis, acute and chronic real failure, severe diabetes, aplastic anemia, moderate and severe malnutrition, other serious physical diseases such as nervous system, heart, liver, kidney, endocrine system and blood system, or diseases that may interfere with the test evaluation (abnormal indexes are more than 2 times higher than normal).
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Building a multi-modal database of major mental disorders | at August 2025 | Establish a prediction model by using machine learning methods and build a multi-modal database of major mental disorders to realize the multi-modal diagnosis and curative effect prediction markers for guiding accurate treatment. |
Countries
China
Contacts
Primary ContactYiru Fang, Doctorate
Outcome results
None listed