Method for detecting functions of corpus striatum of patients suffering from schizophrenia based on functional nuclear magnetism images
A technology for schizophrenia and functional detection, which is applied in the field of striatal function detection of schizophrenia patients based on functional magnetic resonance imaging, which can solve problems such as the inability to quantitatively assess the health of schizophrenia patients and the inability to guide individualized medication. , to achieve the effect of improving the prognosis
Active Publication Date: 2020-01-07
INST OF AUTOMATION CHINESE ACAD OF SCI
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[0011] In order to solve the above-mentioned problems in the prior art, that is, the prior art cannot quantify the health status of patients with schizophrenia, and thus cannot guide individualized medication. A striatal function detection method, the method comprising:
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[0053] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, not to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.
[0054] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.
[0055] A method for detecting striatum function in patients with schizophrenia based on functional magnetic resonance imaging of the present invention, the method comprising:
[0056] Step S10, acquiring the functional nuclear magnetic image data of the subject with striatum as the ...
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The invention belongs to the field of psychologic medicine, neuroimaging and artificial intelligence, particularly relates to a method for detecting functions of corpus striatum of patients sufferingfrom schizophrenia based on functional nuclear magnetism images, and aims to solve the problem that the health degree of the patients suffering from schizophrenia cannot be quantitatively assessed inthe prior art, so that individualization medication cannot be guided. The method disclosed by the invention comprises the steps of extracting local signals of the corpus striatum, whole brain functionconnecting signals, built-in function connecting signals after pretreatment and data input, and performing splicing; respectively calculating the fiducial probability that signals belong to normal people or the patients suffering from the schizophrenia through a corpus striatum classification model; and if the fiducial probability that signals belong to normal people is high, determining detectedtargets to be the normal people, or else, determining the detected targets to be the patients suffering from the schizophrenia, and outputting the corpus striatum health grade of the patients suffering from the schizophrenia. According to the method disclosed by the invention, the corpus striatum characteristics of the patients suffering from the schizophrenia can be quantitatively assessed, theindividual level medication guidance of the patients suffering from the schizophrenia is realized, and the prognosis effects of the patients suffering from the schizophrenia to confront mental disorder medicines can be further promoted.
Description
technical field [0001] The invention belongs to the fields of psychiatry, neuroimaging and artificial intelligence, and in particular relates to a striatum function detection method for schizophrenic patients based on functional nuclear magnetic imaging. Background technique [0002] In the field of psychiatry, precision medicine requires individualized, generalizable and clinically valuable biomarkers. However, there is no biomarker that can be applied on a large scale in clinical psychiatry[1][2] . Schizophrenia, as a very serious mental illness [3], has brought a heavy burden to the country and society. Although patients with schizophrenia have great heterogeneity in clinical symptoms, cognitive levels, and clinical prognosis, there are no reliable biomarkers to help group patients [4] to provide individualized treatment options. The striatum is one of the pathological brain regions at the core of schizophrenia. A large number of studies have shown that there is patholo...
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IPC IPC(8): A61B5/16A61B5/055G06K9/00
CPCA61B5/165A61B5/055G06F2218/08G06F2218/12
Inventor 李昂饶光祥刘冰
Owner INST OF AUTOMATION CHINESE ACAD OF SCI