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Multimodal fusion analysis method of genetic image based on white matter integrity and DNA methylation

An analysis method, methylation technology, applied in the human field, can solve problems such as in-depth mining of unfavorable multi-modal data

Active Publication Date: 2022-04-15
WUHAN UNIV
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Problems solved by technology

[0004] Most of the existing technologies are limited to a single image or genetic modality, which is not conducive to the in-depth mining of multi-modal data

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  • Multimodal fusion analysis method of genetic image based on white matter integrity and DNA methylation
  • Multimodal fusion analysis method of genetic image based on white matter integrity and DNA methylation
  • Multimodal fusion analysis method of genetic image based on white matter integrity and DNA methylation

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Embodiment Construction

[0031] In this embodiment, the DTI (diffusion tensor imaging) of 42 patients with schizophrenia ("subjects" or "patients") and 38 healthy control patients and the methylation levels of the genome-wide CpG sites of 42 patients are The research object, carries out the detailed step S of illustrating the present invention by way of example.

[0032]After collecting all subject data, firstly, step S1: perform DTI data preprocessing to ensure data consistency. Preprocessing includes: using FSL 5.0 toolkit (http: / / www.fmrib.ox.ac.uk / fsl) to correct head motion and eddy current distortion of DTI image data; using Diffusion Toolkit software (TrackVis.org ) Estimate the diffusion tensor model of each voxel by the linear least squares fitting method, and obtain the respective b0 map and FA map.

[0033] Step S2: Calculate the FA value of each voxel in the whole brain in the DTI data of all subjects (42 cases of schizophrenia patients and 38 cases of healthy controls). Specifically, it...

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Abstract

The invention discloses a method for multimodal fusion analysis of genetic images based on brain white matter integrity and DNA methylation. In the present invention, by analyzing the FA value of the whole brain white matter fiber integrity of the subject, the patients with a certain neuropsychiatric disease are compared with normal people, and the name of the difference area is entered in the Allen brain bank to obtain the highly expressed in these brain areas. Gene names, and then extract the methylation levels of these genes corresponding to CpG sites from the genome methylation samples, and use correlation analysis to count the relationship between the methylation levels of these CpG sites and the FA value. The present invention conducts multi-modal fusion analysis on the brain structure development model of neuropsychiatric diseases and the epigenetic basis behind it. The in-depth mining of the image plus epigenetic multimodal data information has brought significant application and guiding value.

Description

technical field [0001] The present invention also relates to the fields of human brain structural connection and biotechnology, and discloses an epigenetic / image multimodal fusion analysis method based on brain white matter integrity and DNA methylation. The modal analysis method is used in the early detection, early diagnosis and early treatment of diseases, which is of great significance to the clinical medical research process that reveals the progress of diseases. Background technique [0002] The rapid development of magnetic resonance diffusion tensor imaging (DTI) technology in recent years, combined with the fractional anisotropy (FA) value that is highly sensitive to fiber shape and alignment, can detect the white matter of the whole brain. Quantitative characterization of fibrous junction microstructure. In recent years, with the help of DTI and FA, people can conduct a series of detailed studies on the pathogenesis of disease neuropathology at the whole brain lev...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16B20/30G16B30/00G16B40/00G16B45/00
CPCG16B20/30G16B30/00G16B40/00G16B45/00
Inventor 宗小芬胡茂林刘忠纯徐顺生翁深宏
Owner WUHAN UNIV
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