A dynamic functional pattern learning method inspired by fMRI brain network mechanism

Abstract

The invention discloses a dynamic functional pattern learning method inspired by the fMRI brain network mechanism, comprising: collecting resting state fMRI brain image data of a number of subjects; performing preprocessing operations on the resting state fMRI brain image data; The resting-state fMRI brain imaging data were obtained by using the GICA-IR method to obtain the resting-state brain functional network and its corresponding time series at the group level and individual level respectively; the sliding time window method was used to calculate the resting-state brain function corresponding to each subject. The dynamic functional connectivity matrix between brain functional networks, and its upper triangular elements are stretched into dynamic functional connectivity vectors, and then the dynamic functional connectivity vector sets corresponding to all subjects are obtained; the deep neural network model and affine propagation clustering algorithm are used to extract Find out the inherent dynamic functional connectivity pattern of the brain hidden in the dynamic functional connectivity vector set. The invention provides a solid foundation for revealing the basic principles of brain cognitive activities, the damage mechanism of cranial nerve diseases, and exploring the characteristics of occupational brain plasticity reorganization.

Description

technical field [0001] The invention relates to the technical field of brain imaging image processing, in particular to a dynamic functional pattern learning method inspired by fMRI brain network mechanism. Background technique [0002] The brain is the most important organ of the human body. It controls various cognitive behaviors such as human thinking, consciousness, emotion, and memory. It is the central nervous system for human to realize advanced cognitive function activities. It is also the most complex and One of the most sophisticated systems. How to understand the brain and explore the cognitive mechanism of brain neural activity is an important field that the scientific community at home and abroad strives to break through and explore, and has very important research value. [0003] In recent years, with the continuous development of science and technology, brain functional imaging technology has become one of the most concerned research hotspots and frontier dir...

AI Technical Summary

Problems solved by technology

However, there are still some key issues in the current dynamic brain function network connectivity analysis methods in terms of brain network construction and dynamic brain function pattern extraction that need to be further systematically resolved

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