Early Identification of Mental Disorders: Application of a Multi-modal & Domains System

NCT05939154 | Unknown

• 1 other identifier: CRC2021DX01
• Study Type: observational
• Target: 400
• Locations: 1 country
• Sites: 1

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.

Conditions

Mental Disorder

Outcome Measures

Primary Outcomes (1)

• 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

Study Arms (2)

mental disorders

Patients in Shanghai Mental Health Center; meet ICD-11 or DSM-5 diagnosis of depressive disorders, bipolar disorders, schizophrenia, obsessive-compulsive disorder, anxiety disorders, addictive disorders and sleep-wake disorders (do not limit subtypes and current disease state); age ≥15 years and \< 60 years.

healthy controls

Age ≥15 years and \< 60 years; gender match with patient group; understand the research content and sign the informed consent; no family history of mental disorders.

Eligibility Criteria

• Age: 15 Years - 60 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

Patients in Shanghai Mental Health Center; meet ICD-11 or DSM-5 diagnosis of depressive disorders, bipolar disorders, schizophrenia, obsessive-compulsive disorder, anxiety disorders, addictive disorders and sleep-wake disorders (do not limit subtypes and current disease state); age ≥15 years and \< 60 years; gender is not limited.

You may qualify if:

• 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;
• Age 15-60;
• Han nationality;
• gender is not limited;
• have enough audition level to complete the necessary inspection of the research;
• 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.

You may not qualify if:

• Mental retardation that significantly affects the patient's current mental state;
• 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).

Sponsors & Collaborators

• Shanghai Mental Health Center: lead

Study Sites (1)

Shanghai Mental Health Center

Shanghai, Shanghai Municipality, 200030, China

Location

Related 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.

  PMID: 27733282 BACKGROUND

• 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.

  PMID: 30792114 BACKGROUND

• 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.

  PMID: 19524780 BACKGROUND

• 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.

  PMID: 22474106 BACKGROUND

• 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.

  PMID: 25819144 BACKGROUND

• 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.

  PMID: 24056922 BACKGROUND

• 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.

  PMID: 30540352 BACKGROUND

• 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.

  PMID: 32908264 BACKGROUND

MeSH Terms

Conditions

Mental Disorders

Study Officials

• Yiru Fang, Doctorate

  Shanghai Mental Health Center

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Yiru Fang, Doctorate

CONTACT

18017311133; yirufang@aliyun.com

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: July 2, 2023
• First Posted: July 11, 2023
• Study Start: August 1, 2023
• Primary Completion: September 30, 2025
• Study Completion: December 31, 2025
• Last Updated: July 11, 2023

Record last verified: 2022-11

Data Sharing

• IPD Sharing: Will share

Locations

CN (1)