Method for constructing brain function network with improved individual identification based on functional image data
A brain function network and image data technology, applied in the field of brain function network, can solve problems such as misleading interactions, inability to accurately reflect relationships, and overestimation of statistical correlation metrics
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Embodiment 1
[0119] figure 1 It is a flow chart of the steps of a method for constructing a brain function network with improved individual discrimination based on functional image data in the present invention. like figure 1 As shown, (a) first collect the magnetic resonance imaging data (functional magnetic resonance imaging and T1 weighted image) of the evaluation object, and provide the magnetic resonance imaging data of the evaluation object's brain in the resting state and / or task state; (b) based on the Based on the above magnetic resonance imaging data, the first brain functional network of the evaluation object is constructed, that is, the time series representing the neural activity information of each brain region is extracted from the functional magnetic resonance imaging data, and then the brain interval is calculated based on the representative time series of each brain region. functional connection, thereby constructing the first brain functional network; (c) then extractin...
Embodiment 2
[0136] The following is a specific embodiment of constructing a brain function network for improving individual discrimination by taking a specific evaluation object as an example according to the method of the present invention.
[0137] 1.1 Data processing:
[0138] We selected the data set "One-month Test-Retest Reliability and Dynamical Resting-State Study" from the Consortium for Reliability and Reproducibility public data set, in which 15 subjects were female and 15 were male, with an average age of about 24 years old . Each subject was scanned ten times over a month, every three days. We utilized the Data Processing Assistant for rs-fMRI (DPARSF). This is a data processing tool based on Statistical Parametric Mapping (SPM) and Data Processing and Analysis of Brain Imaging (DPABI). The processing process includes steps such as alignment, registration, spatial standardization, spatial resampling, spatial smoothing, regression of irrelevant variables, and temporal filte...
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