Prediction of Violent Behavior in Patients With Schizophrenia by Multimodal Machine Learning

NCT04520399 | Unknown

• 1 other identifier: 20200498
• Study Type: observational
• Target: 200
• Locations: 1 country
• Sites: 1

Brief Summary

Patients with schizophrenia have a higher risk of committing violent crimes than the general population, and the relative risk of violence against others is four times higher than the general population. Violence is a major public health problem because it often leads to poor prognosis, readmission and stigma in patients with schizophrenia. MRI studies on violent behavior in schizophrenia are relatively few. These studies have found that violence is primarily associated with dysfunction in the ventral prefrontal and temporal limbic systems. Structural MRI found that violent behavior in schizophrenia was associated with increased volume of white matter in caudate nucleus, left orbitofrontal gyrus and right orbitofrontal gyrus. However, the current research results in this field are uneven, the methods are not consistent, and there is a lack of breakthrough progress, which needs to be integrated and deepened urgently. If the violent behavior of the patients with schizophrenia could be predicted by magnetic resonance imaging, it would be a revolutionary try. By doing so, the investigators can strengthen the treatment of these patients and reduce the occurrence of violence. Based on previous studies, the investigators believe that violent schizophrenics exhibit recognizable imaging characteristics under structural phase, resting state, negative emotional images and natural stimuli models. Anomalies in a particular mode may be subtle and difficult to identify, but when multiple different modes are integrated, a significant and characteristic set of imaging markers will be present. This study will use the multivariate model of machine learning method, detection brain activation patterns under different situations among patients with violence. The investigators are going to study imaging biomarkers, and try to predict the possibility of onset of violence among schizophrenia patients, thus reduce the risks of violence.

Conditions

Schizophrenia; Violence

Outcome Measures

Primary Outcomes (4)

• MRI testing results

  structural MRI data

  Sep.2022

• resting state MRI data

  functional connections between brain regions

  Sep.2020

• functional MRI data

  brain stimulation models while in a natural stimulus or watching affective pictures

  Sep.2020

• Integrated data

  integrated MRI data from machine learning method

  Sep.2020

Study Arms (2)

violence

Other: none intervention

non-violence

Other: none intervention

Interventions

none intervention OTHER

there is no intervention in this study

non-violence; violence

Eligibility Criteria

• Age: 18 Years - 60 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

A total of 200 schizophrenic patients were collected in Shanghai Mental Health Center. Through the assessment of violent behavior (MOAS scale + self-report), schizophrenic patients were divided into violent group and non-violent group.

You may qualify if:

• for violent group
• Inpatient or out-patient treatment;
• Junior high school education or above, eliminate mental retardation;
• years old;
• Han, right-handed;
• Meet the diagnostic criteria of ICD-10 schizophrenia;
• Self-report and confirmed by family members that violence occurred at least 2 times in the recent six months;
• In the recent half year, the revised Version of the weighted total score of The Explicit Attack Scale (MOAS) ≥4;
• Exclude severe heart, liver, kidney, blood, digestive and nervous system diseases;
• \) Schizophrenic patients treated in hospital or outpatient; 2) Junior high school education or above, eliminate mental retardation; 3) 18-60 years old; 4) Han, right-handed; 5) Meet the diagnostic criteria of ICD-10 schizophrenia; 6) Self-reported and confirmed by family members that no violence has occurred in the past six months; 7) within the past revisions explicit scale (MOAS) weighted total score ˂ 4 points; 8) Exclude severe heart, liver, kidney, blood, digestive and nervous system diseases; 9) Willing to participate in this study and sign the informed consent.

Sponsors & Collaborators

• Shanghai Mental Health Center: lead

Study Sites (1)

Shanghai Mental Health Center

Shanghai, Shanghai Municipality, 200030, China

Location

MeSH Terms

Conditions

Schizophrenia

Condition Hierarchy (Ancestors)

Schizophrenia Spectrum and Other Psychotic Disorders; Mental Disorders

Central Study Contacts

Yi Qiao

CONTACT

13817615936; qiaoyi2004@msn.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: August 13, 2020
• First Posted: August 20, 2020
• Study Start: October 1, 2020
• Primary Completion: September 1, 2022
• Study Completion: September 1, 2022
• Last Updated: August 20, 2020

Record last verified: 2020-08

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)