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Whole-brain individualized brain function map construction method taking independent component network as reference

A technology with independent components and construction methods, applied in the field of whole-brain individualized brain function map construction, can solve the problems of lack of functional correspondence, insufficient consideration of differences in the distribution of brain function subregions, etc., and achieve the effect of flexible subdivision of brain regions.

Active Publication Date: 2020-11-27
TIANJIN MEDICAL UNIV
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AI Technical Summary

Problems solved by technology

This kind of group "template" data registration based on anatomical structure or functional information does not fully consider the differences in the distribution of brain functional subregions between individuals, resulting in a lack of true functional correspondence between data comparisons between different subjects relationship, statistical power and accuracy

Method used

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  • Whole-brain individualized brain function map construction method taking independent component network as reference
  • Whole-brain individualized brain function map construction method taking independent component network as reference
  • Whole-brain individualized brain function map construction method taking independent component network as reference

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Embodiment 1

[0082] Magnetic resonance data acquisition: The current trial brain image data of the present invention comes from the public database of the Human Connectome Project (HCP). The database uses a customized version of the magnetic field strength of 3.0Tesla WU-Minn-Ox HCP scanner to collect MRI data. Among them, three-dimensional high-resolution T1-weighted structural image: using magnetization prepared rapid acquisition gradient echo (MPRAGE) sequence, repetition time (repetition time, TR) / echo time (echo time, TE) / inversion Time (inversion time, TI)=2400 / 2.14 / 1000ms, flip angle=8°, field of view (FOV)=224mm×224mm, imaging matrix=320×320, slice thickness=0.7mm, 0.7-mm 3 isotropic voxels; resting state fMRI: using multi-band single-shot gradient echo EPI (MB-SS-GRE-EPI) sequence, TR / TE=720 / 33.1ms, flip angle=52°, slice acceleration factor = 8, FOV = 208mm × 180mm, imaging matrix = 104 × 90, slice thickness = 2mm, slice number = 72, to get 2-mm 3 For isotropic voxels, in order ...

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Abstract

The invention relates to a whole-brain individualized brain function map construction method taking an independent component network as a reference. The method comprises the following steps: utilizingbrain resting state fMRI data of an individual subject; introducing an independent component analysis method to construct a group-level brain function sub-network; then, reversely reconstructing eachtested brain function sub-network and a characteristic time sequence corresponding to the function sub-network by utilizing space-time regression; taking a characteristic time sequence correspondingto the functional sub-network as a reference signal; and introducing an inverse distance weighting coefficient, a sub-network inverse variation coefficient weighting, a correlation factor and an iterative process to obtain a whole-brain individualized function map with an independent component network as a reference. The method has the advantages of pure data driving, complete correspondence of brain regions, whole-brain coverage, more flexible functional brain region subdivision and the like, and a more accurate objective imaging tool is provided for researching a normal human brain operationmechanism and brain function impairment related to diseases.

Description

Technical field: [0001] The present invention relates to the technical field of brain function atlas construction, in particular to a whole-brain individual with independent component network as a reference given by using brain resting-state functional magnetic resonance imaging (rs-fMRI) data. A method for constructing a functional map of the brain. Background technique: [0002] The human brain is one of the most mysterious and complex nervous systems, containing approximately hundreds of millions of neurons in itself. Moreover, these neurons are interconnected to form a huge neural network. However, current research scholars' understanding of it is still limited. Therefore, if you want to understand this complex network, the most important thing is to understand the nodes that make up the network, which requires building a human brain map that is more refined, more accurate, and more suitable for brain science research. [0003] Functional magnetic resonance imaging (f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G06K9/40G06K9/62A61B5/00A61B5/055
CPCG16H50/70A61B5/055A61B5/4064A61B5/72A61B5/7203G06V10/30G06F18/2134G06F18/2135
Inventor 丁皓秦文吕旻谢颖滢于春水
Owner TIANJIN MEDICAL UNIV
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