Schizophrenia early diagnosis model based on face expression recognition magnetic resonance imaging and application thereof

A technology of schizophrenia and magnetic resonance imaging, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as differences, achieve the effect of improving recognition and diagnosis rates, and reducing family and social burdens

Active Publication Date: 2019-02-19
SHANGHAI TONGJI HOSPITAL
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  • Abstract
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  • Application Information

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Problems solved by technology

Previous studies have found significant differences in the patterns of brain functional activation in facial emotion recognition tasks between patients with schizophrenia and healthy people
In addition, magnetic resonance brain structural imaging combined with voxel-based morphometry (VBM) analysis found that there are significant differences in brain gray matter density between patients with schizophrenia and healthy people

Method used

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  • Schizophrenia early diagnosis model based on face expression recognition magnetic resonance imaging and application thereof
  • Schizophrenia early diagnosis model based on face expression recognition magnetic resonance imaging and application thereof
  • Schizophrenia early diagnosis model based on face expression recognition magnetic resonance imaging and application thereof

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Embodiment 1

[0029] Embodiment 1 A kind of early diagnosis model of schizophrenia based on facial expression recognition magnetic resonance imaging

[0030] The present invention provides an early diagnosis model of schizophrenia based on magnetic resonance imaging of facial expression recognition, comprising: establishing an early diagnosis model of schizophrenia based on multimodal brain imaging data of magnetic resonance and using machine learning methods (101); and Diagnosis of schizophrenia using the established model (102), such as figure 1 .

[0031] Establishing the early diagnosis model of schizophrenia includes the following sub-steps ( figure 2 ): obtaining the brain imaging data under the magnetic resonance as the training data (1011) of the model; extracting features from the training data (1012); feature screening (1013); utilizing the extracted features and supervised machine learning methods to carry out model training (1014), thereby establishing the diagnosis model.

...

Embodiment 2

[0044] Embodiment 2 utilizes early diagnosis model to diagnose schizophrenia

[0045] Participants included 30 first-episode schizophrenic patients diagnosed by clinical mental hygiene physicians using the American Psychiatric Association Diagnostic and Statistical Manual: Mental Disorders (DSM-IV) and 30 healthy subjects. For each subject, brain structure images and functional images under the facial emotion processing task were collected. The magnetic resonance pulse sequence for collecting brain structural images is 3D FSPGR (fastspoiled gradient-echo, fast spoiled gradient echo) sequence, slice thickness = 1mm; the magnetic resonance pulse sequence for collecting brain functional images is EPI (echo planar imaging, echo planar imaging, Wave plane imaging) sequence, flip angle = 90°, repetition time (TR) = 2000ms, echo time (TE) = 30ms, slice thickness = 3mm.

[0046] In the emotional processing task, subjects viewed pictures of faces with happy, fearful, disgusted, and ne...

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Abstract

The invention relates to the technical field of early diagnosis of schizophrenia, in particular to a schizophrenia early diagnosis model based on face expression recognition magnetic resonance imagingand application thereof. The method includes: obtaining the brain imaging data under the magnetic resonance as the training data of the model; extracting features from training data; screening the extracted features; establishing an early diagnosis model of schizophrenia by using the screened features and supervised machine learning method for model training. Schizophrenia is a serious psychiatric disease.Patients with schizophrenia suffer from severe social dysfunction, and those with severe schizophrenia often have impulse, self-injury and wounding behavior.Improving the recognition rate ofschizophrenia is helpful to postpone the social dysfunction of schizophrenia patients and lighten the burden of family and society. The invention successfully constructs a multidimensional early diagnosis model of schizophrenia through feature screening according to different dimensional indexes of brain function and brain structure, and improves the recognition rate and diagnosis rate of schizophrenia patients.

Description

technical field [0001] The invention relates to the technical field of early diagnosis of schizophrenia, in particular to an early diagnosis model of schizophrenia based on facial expression recognition magnetic resonance imaging and its application. Background technique [0002] Schizophrenia is a group of severe mental illnesses with unknown etiology, protracted disease course, and difficult treatment, often accompanied by obstacles in thinking, emotion, behavior, and cognition. It mainly relies on medical history inquiry and symptomatic description, lacks specific indicators, and easily leads to missed diagnosis and misdiagnosis. It is against this background that this model was developed. Facial expression recognition is a common and recognized way of cognitive measurement, and facial expression recognition deficiency is an endophenotype of patients with early-onset schizophrenia, and generally there is relatively persistent cognitive impairment. The use of this featur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 陆峥孙杳如龙翔云张作刘飞齐安思管晓枫杨程青
Owner SHANGHAI TONGJI HOSPITAL
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