Dynamic function mode learning method enlightened by fMRI brain network mechanism

Abstract

The invention discloses a dynamic function mode learning method enlightened by a fMRI brain network mechanism. The method comprises the steps of acquiring resting state fMRI brain image data of a plurality of testees; performing preprocessing operation on the resting state fMRI brain image data; according to the preprocessed resting state fMRI brain image data, respectively acquiring resting state brain function networks in a group level and an individual level and the corresponding time sequences by means of a GICA-IR method; calculating a dynamic function connecting matrix between the corresponding resting state brain function networks of the testees by means of a sliding time window method, converting a triangle element on the dynamic function connecting matrix to a dynamic function connecting vector, and furthermore acquiring a dynamic function connecting vector set which corresponds with all testees; and extracting a brain inherent dynamic function connecting mode which is hidden in the dynamic function connecting vector set by means of a deep neural network model and an affine propagation clustering algorithm. The dynamic function mode learning method supplies a solid basis for discovering a basic principle of brain cognition activities, a damage mechanism of cranial nerve diseases and researching a career cerebral plasticity recombination characteristic, etc.

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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