Brain function connection network analysis method based on resting state functional magnetic resonance image
A technology of functional magnetic resonance and brain functional connection, which is applied in the field of brain functional connection network construction, can solve the problems of great influence on brain network construction and analysis, and achieve the effect of improving the performance of the model
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[0050] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0051] Please refer to figure 1 , the present invention provides a method for analyzing brain functional connectivity networks based on resting-state functional magnetic resonance images, comprising the following steps:
[0052] Step S1: preprocessing the functional magnetic resonance images, in this embodiment, all rs-fMRI images are preprocessed by DPARSF. The preprocessing process includes. 1) Dropout of top 10 time points, 2) Slice time correction, 3) Head motion correction, 4) Regression of interfering covariates, 5) Bandpass filtering (0.01-0.1Hz), 6) Normalization to MNI152 Standard anatomical space, 7) smooth space (FWHM=4mm).
[0053]Step S2: Segment all rs-fMRI images using templates of three different scales, namely AAL, with 116 brain regions; Craddock 200 (CC200), with 200 brain regions; Brainnetome (BN273), with 273 brain regions .
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