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A functional magnetic resonance imaging brain connectivity map construction method based on collaborative clustering

A fMRI, collaborative clustering technology, applied in the field of biomedicine

Active Publication Date: 2018-12-28
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0007] Aiming at the deficiencies of the existing methods, the purpose of the present invention is to propose a novel and easily verifiable data-driven method that is different from the traditional ones, to solve the problem of building a functional connectivity map with a specific brain structure refinement

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  • A functional magnetic resonance imaging brain connectivity map construction method based on collaborative clustering
  • A functional magnetic resonance imaging brain connectivity map construction method based on collaborative clustering
  • A functional magnetic resonance imaging brain connectivity map construction method based on collaborative clustering

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Embodiment Construction

[0016] The present invention proposes a method for constructing functional magnetic resonance imaging brain connection maps based on collaborative clustering. The technical scheme of the method is as follows: figure 1 shown. Taking the construction of the functional connectivity map of the thalamus as an example, specific implementation methods are described as follows.

[0017] (1) Acquisition and acquisition of resting-state fMRI image data. The resting-state fMRI images of 57 subjects were collected, and the spatial resolution and repetition time were 3.125×3.125×4.2 cubic millimeters and 2 seconds, respectively.

[0018] (2) Extract the brain structure thalamus and its functional main circuit (cerebral cortex except the insula) to be investigated. The thalamus and cerebral cortex of 57 subjects were extracted using FreeSurfer.

[0019] (3) Suppression of noise in resting-state fMRI images. Use the spatially independent component analysis with excellent denoising effect...

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Abstract

The invention discloses a functional magnetic resonance imaging brain connectivity map construction method based on collaborative clustering. Brain functional connectivity mapping is a key link in brain function and brain disease research. How to construct and validate brain functional connectivity mapping has become the focus and frontier of current brain science research. Recent studies show that there are still some shortcomings in the existing methods of constructing brain functional connectivity maps: the hypothesis-driven method based on model is not robust, the correctness of brain functional connectivity maps based on model independent method is difficult to verify, and the brain functional connectivity maps based on data-driven method are not precise enough. In order to overcome the shortcomings of the prior art, the present invention provides a novel and easy-to-verify method, which simultaneously identifies a functional sub-region of a specific brain structure and its connecting brain region by adopting a cooperative clustering algorithm, thereby realizing the construction of a refined brain functional connection map; at the same time, three approaches from different angles are adopted to verify the correctness of the brain functional connectivity map.

Description

technical field [0001] The invention belongs to the field of biomedicine, and relates to a method for constructing a brain connection map based on synergistic clustering, in particular to a method for constructing a functional magnetic resonance image brain connection map based on synergistic clustering. Background technique [0002] Since the 1990s, the construction of fMRI brain connection maps has become an important way to reveal the mechanism of brain function. It can be seen that the research on the construction of brain functional connectivity maps is a basis for revealing the functional mechanism of the brain, and has become a hot spot and frontier of brain science research. Summarizing domestic and foreign research, there are three main methods for constructing brain functional connectivity maps, namely, seed region-based methods, brain map-based methods, and data-driven methods. [0003] The seed region-based approach is a model-dependent, hypothesis-driven approa...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11
CPCG06T7/0012G06T7/11G06T2207/10088G06T2207/30016
Inventor 程和伟范勇李章勇王伟赵德春田银冉鹏刘洁
Owner CHONGQING UNIV OF POSTS & TELECOMM
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