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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05939154
Other study ID # CRC2021DX01
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date August 1, 2023
Est. completion date December 31, 2025

Study information

Verified date November 2022
Source Shanghai Mental Health Center
Contact Yiru Fang, Doctorate
Phone 18017311133
Email yirufang@aliyun.com
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 400
Est. completion date December 31, 2025
Est. primary completion date September 30, 2025
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 15 Years to 60 Years
Eligibility 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).

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
China Shanghai Mental Health Center Shanghai Shanghai

Sponsors (1)

Lead Sponsor Collaborator
Shanghai Mental Health Center

Country where clinical trial is conducted

China, 

References & Publications (8)

GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016 Oct 8;388(10053):1545-1602. doi: 10.1016/S0140-6736(16)31678-6. Erratum In: Lancet. 2017 Jan 7;389(10064):e1. — View Citation

Gunaratne P, Lloyd AR, Vollmer-Conna U. Mood disturbance after infection. Aust N Z J Psychiatry. 2013 Dec;47(12):1152-64. doi: 10.1177/0004867413503718. Epub 2013 Sep 20. — View Citation

Haque A, Milstein A, Fei-Fei L. Illuminating the dark spaces of healthcare with ambient intelligence. Nature. 2020 Sep;585(7824):193-202. doi: 10.1038/s41586-020-2669-y. Epub 2020 Sep 9. — View Citation

Huang Y, Wang Y, Wang H, Liu Z, Yu X, Yan J, Yu Y, Kou C, Xu X, Lu J, Wang Z, He S, Xu Y, He Y, Li T, Guo W, Tian H, Xu G, Xu X, Ma Y, Wang L, Wang L, Yan Y, Wang B, Xiao S, Zhou L, Li L, Tan L, Zhang T, Ma C, Li Q, Ding H, Geng H, Jia F, Shi J, Wang S, Zhang N, Du X, Du X, Wu Y. Prevalence of mental disorders in China: a cross-sectional epidemiological study. Lancet Psychiatry. 2019 Mar;6(3):211-224. doi: 10.1016/S2215-0366(18)30511-X. Epub 2019 Feb 18. Erratum In: Lancet Psychiatry. 2019 Apr;6(4):e11. — View Citation

Kessler RC, Avenevoli S, Costello J, Green JG, Gruber MJ, McLaughlin KA, Petukhova M, Sampson NA, Zaslavsky AM, Merikangas KR. Severity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication Adolescent Supplement. Arch Gen Psychiatry. 2012 Apr;69(4):381-9. doi: 10.1001/archgenpsychiatry.2011.1603. — View Citation

Merikangas KR, Swendsen J, Hickie IB, Cui L, Shou H, Merikangas AK, Zhang J, Lamers F, Crainiceanu C, Volkow ND, Zipunnikov V. Real-time Mobile Monitoring of the Dynamic Associations Among Motor Activity, Energy, Mood, and Sleep in Adults With Bipolar Disorder. JAMA Psychiatry. 2019 Feb 1;76(2):190-198. doi: 10.1001/jamapsychiatry.2018.3546. — View Citation

Phillips MR, Zhang J, Shi Q, Song Z, Ding Z, Pang S, Li X, Zhang Y, Wang Z. Prevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001-05: an epidemiological survey. Lancet. 2009 Jun 13;373(9680):2041-53. doi: 10.1016/S0140-6736(09)60660-7. — View Citation

Rominger A, Cumming P, Brendel M, Xiong G, Zach C, Karch S, Tatsch K, Bartenstein P, la Fougere C, Koch W, Pogarell O. Altered serotonin and dopamine transporter availabilities in brain of depressed patients upon treatment with escitalopram: A [123 I]beta-CIT SPECT study. Eur Neuropsychopharmacol. 2015 Jun;25(6):873-81. doi: 10.1016/j.euroneuro.2014.12.010. Epub 2015 Jan 5. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Building a multi-modal database of major mental disorders 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. at August 2025
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