Brain default network directed connection analysis method based on motif structures

A technology of directed connection and analysis method, which is applied in the field of biomedical information processing to achieve the effect of improving accuracy

Active Publication Date: 2017-02-22
CHANGZHOU UNIV
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Problems solved by technology

At present, domestic and foreign patent literature rarely involves the use of motif structure to analyze the directed connection of the default network of the brain

Method used

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  • Brain default network directed connection analysis method based on motif structures
  • Brain default network directed connection analysis method based on motif structures
  • Brain default network directed connection analysis method based on motif structures

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0049] Such as figure 1 As shown, a method for analyzing the directed connection of the brain default network based on the motif structure, the specific implementation method includes the following steps:

[0050] (1) Format conversion of the original brain image data collected by the magnetic resonance equipment: In this embodiment, 15 Parkinson's patients were used, including 9 males and 6 females, aged between 60 and 75 years old. 20 normal subjects, 10 males and 10 males, aged between 60 and 75 years old, all underwent MRI scanning in a resting state. The collected magnetic resonance imaging data is converted from DICOM format to NIFTI format, and then preprocessed by time correction, head movement correction, registration, spatial standardization, smoothing, etc., and finally low-frequency filtering is performed to reduce low-frequency dr...

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Abstract

The invention relates to a brain default network directed connection analysis method based on motif structures. The method includes: performing format conversion, preprocessing and low-frequency filtering on a brain fMRI image, and matching the image with a standard partition template; performing ALFF calculation on the fMRI image, extracting a time sequence of a related brain region for a Granger causal analysis, and establishing a default network; searching existed motif structures in the network, and determining the kind and quantity of the motifs; determining the importance degrees of the motifs in the default network directed connection according to indexes such as a p value and a Z score; calculating the node degrees in the motifs and the average distance of the motifs, and analyzing the effect and the information transfer rate of the brain region in the motifs and the default network; and conducting statistical analyses on a patient group and a normal person group, and finding obvious differences of the default network directed connection through the distribution condition of the motifs. According to the method, the functional differences of the default networks between patients with brain diseases and normal person can be distinguished, and a certain reference value is provided for diagnosis and treatment of the brain diseases.

Description

technical field [0001] The invention relates to a brain function analysis method based on medical images, in particular to a brain default network directed connection analysis method based on a phantom structure, and belongs to the technical field of biomedical information processing. Background technique [0002] The human brain is an extremely complex system that exists in nature, and researchers have constructed it into a complex network system for analysis. When the brain is performing an activity, whether it is subjective consciousness or subconscious consciousness, various regions need to interact and connect with each other to form a corresponding network structure. At present, brain network has become an important field of brain science research, and it is constantly developing. [0003] In recent years, scientists have proposed the concept of default mode network (DMN), which has become the research focus of cognitive neuroscience, psychiatric or neurological brain...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G06T5/00G06T7/10G06K9/62
CPCG06N3/004G06T5/002G06T5/006G06T2207/30016G06T2207/10088G06V2201/03G06F18/22
Inventor 焦竹青王欢马凯邹凌李文杰
Owner CHANGZHOU UNIV
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