Contralateral localization of brain functional areas based on resting-state functional magnetic resonance
A technology of functional magnetic resonance and resting state, applied in the field of medical image processing and application, can solve problems such as limited activation of brain functional areas, inability to fully meet clinical needs, impaired motor function and cognitive function, etc., to achieve good brain function, The effect of protecting brain function and reducing the requirement of examination cooperation
Active Publication Date: 2022-03-18
FUDAN UNIV +1
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Problems solved by technology
However, practice has shown that the single-task paradigm has limited activation of brain functional areas; taking the motor area as an example, it is difficult to activate the supplementary motor area with rhythmic finger tapping tasks, and even some patients are already in motor function or cognitive function. The state of severely impaired cognitive function cannot cooperate with the task paradigm at all. Therefore, the brain function area positioning based on the task state is limited by the incomplete activation of the task to the functional area and the degree of task execution, and cannot fully meet the clinical needs.
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Embodiment 1
[0047] 1. First, through the large data samples of healthy people, use the resting state data to establish a map of the whole brain region and train the SVM classifier:
[0048] 1) A number of standardized preprocessing methods are adopted for fMRI data: time correction of scan slices, head motion correction, mapping to normalized space, detrending term, bandpass filtering and Scrubbing. Afterwards, the preprocessed brain data were divided into 45 brain regions (45 symmetrically each) according to the AAL (automated anatomical labeling) template proposed by the Montreal Neuroscience Research Center;
[0049] 2) For each brain region, use its functional connection with the remaining 88 brain regions to subdivide. Taking the left supplementary motor area as an example: the left SMA has a total of 666 voxels, and its connection with the remaining 88 brain regions is calculated separately. The correlation coefficient of the average signal of each brain area, and the correlation co...
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The invention belongs to the field of medical image processing and application, and relates to a technology for functionally locating an auxiliary motor area of the brain, in particular to a method for automatically locating an auxiliary motor area by using resting-state functional magnetic resonance imaging technology. The invention uses resting state functional magnetic resonance imaging technology to automatically locate the auxiliary motor area, uses machine learning algorithms to realize high-precision positioning of the auxiliary motor area, and verifies the validity and reliability of the algorithm on multiple data, fully considering brain tumor patients It can be used for the localization of brain-assisted motor functional areas in healthy people and patients with brain tumors. This method can overcome the impact of magnetic resonance positioning technology based on task paradigms on brain functional areas. Limited activation, especially when the task performance of brain tumor patients is generally poor, cannot well meet the clinical needs.
Description
technical field [0001] The invention belongs to the field of medical image processing and application, and relates to a method for locating brain functional areas, in particular to a method of using resting-state functional magnetic resonance imaging technology from healthy hemibrain (healthy side) to damaged hemibrain (affected side) automatic positioning method. In particular, it relates to a contralateral localization method of brain functional areas based on resting state functional magnetic resonance. This method can overcome the shortcoming that the magnetic resonance positioning technology based on the task paradigm can only activate the brain functional areas to a limited extent, especially when the task performance of brain tumor patients is generally poor, and cannot well meet the clinical needs. Background technique [0002] According to reports, glioma is the most common central nervous system tumor. Statistics show that in my country, the annual incidence of g...
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IPC IPC(8): G06T7/11G06V10/774G06K9/62
CPCG06T7/11G06T2207/30096G06T2207/30016G06T2207/10088G06F18/2411
Inventor 冯建峰吴劲松罗强朱凤平哈元恺庄东晓章捷龚方源毛颖阮洪涛
Owner FUDAN UNIV