Genetic image multi-modal fusion analysis method based on white matter integrity and DNA methylation

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

Active Publication Date: 2021-09-03
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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  • Genetic image multi-modal fusion analysis method based on white matter integrity and DNA methylation
  • Genetic image multi-modal fusion analysis method based on white matter integrity and DNA methylation
  • Genetic image multi-modal fusion analysis method 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 genetic image multi-modal fusion analysis method based on white matter integrity and DNA methylation. The method comprises the following steps: analyzing the whole-brain white matter fiber integrity FA value of a subject, performing inter-group comparison on a patient suffering from a certain neuropsychiatric disease and a normal person, typing a difference region name in an Allen brain library to obtain names of genes highly expressed in the brain regions, extracting methylation levels of CpG sites corresponding to the genes from a genome methylation sample, and counting the correlation between the methylation level of the CpG sites and the FA value by adopting correlation analysis. According to the method, multi-modal fusion analysis is carried out on the brain structure development mode of the neuropsychiatric diseases and the epigenetic basis behind the neuropsychiatric diseases, the analysis method ingeniously combines FA and DNA methylation two-modal data for analysis, and great application and guidance values are brought to deep mining of existing image and epigenetic multi-modal data information.

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 Applications(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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