A method and device for optimizing the structural connection of a human brain model based on feature mapping

Abstract

The invention provides a characteristic-mapping-based human brain model structure connection optimization method and device, and belongs to the technical field of human brain neuroscience research. The method comprises the steps that a characteristic mapping matrix is introduced between a characteristic vector of a function connection matrix and a characteristic vector of a structure connection matrix, a polynomial function is used for approximating structure connection data measured experimentally, the accuracy of left brain region data and right brain region data of a human brain model is greatly improved, prediction and reservation from function connection to structure connection are achieved, the relation between the function connection and the structure connection of the human brain model is proved, and the problem that more connection is added inside the left half brain and the right half brain in the optimization process in the prior art is avoided; in addition, when the human brain function connection prediction model is used for assisting in structure connection optimization, the prediction model with the simple model can be selected, and the problem that the structure connection is not optimized conveniently due to the fact that the dimension of the human brain structure and function connection data dimension is large in practical application is avoided.

Description

technical field [0001] The embodiments of the present application relate to the technical field of human brain neuroscience research, and in particular to a method and device for optimizing the structural connection of a human brain model based on feature mapping. Background technique [0002] The brain is one of the most important organs in life activities. The current human brain network model can be divided into structural network (Structural Network or Anatomical Network) and functional network (Functional Network), and the connection between nodes can be divided into Structural Connectivity (SC) and Functional Connectivity (Functional Connectivity, FC). Among them, the structural network of the human brain network model is usually represented by a structural connectivity matrix (SC matrix), which is measured by the diffusion tensor / diffusion spectral imaging (DTI / DSI) technology, reflecting the physiological structure of the brain; the human brain network model’s The ...

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Problems solved by technology

[0005] The embodiment of the present application provides a method and device for optimizing the structural connection of the human brain model based on feature mapping, which aims to remedy the problem of inaccurate measurement of the structural connection between the two brain hemispheres existing in the existing DTI / DSI measurement technology, and discloses The deep relationship between the structural and functional connections of the human brain, and not only predict and preserve the connections in the left and right hemibrains of the human brain network model, but also illustrate the relationship between structural and functional connections, avoiding optimization During the process, the problem of increasing many connections between the left and right hemispheres appeared, and the connection between the left and right brain hemispheres can be restored based on a variety of human brain function prediction models that can be selected, so as to realize the prediction and optimization of human brain structural connections , which can avoid problems that are not conducive to the optimization of structural connectivity due to the large dimension of human brain structure and functional connectivity data in practical applications

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