Multi-scale Analysis of Brain Functional Networks in Patients with Neuropsychiatric Disorders Based on Spectral Wavelets
Based on graph signal processing,the brain functional network of neuropsychiatric patients is stud-ied,and the spectral wavelet transform is used to analyze the brain functional network at multiple scales,and the Laplace matrix is constructed according to the experimental data,from which the maximum eigenvalue of the spec-tral wavelet transform filter is selected for designing.After that,the spectral wavelet coefficients of each brain re-gion in each subject are calculated by combining the blood oxygen level-dependent contrast signal,and then ana-lyzed the multiscale intergroup difference analysis to find out that the energy distribution of the functional brain net-work in different frequency bands is abnormal,and the corresponding abnormal brain regions are clarified.The spectrogram wavelet transform is one of the most effective methods for multiscale analysis of signals in irregular data domains,which is of great practical significance for the study of multiscale analysis of functional brain networks in patients with other diseases.
functional brain networkgraph signal processingmultiscale analysisspectrogram wavelet trans-form
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