[3] [3] Baglioni C, Riemann D. Is chronic insomnia a precursor to major depression? Epidemiological and biological findings[J]. Current Psychiatry Reports, 2012, 14(5): 511-518.

[4] [4] Mollayeva T, Thurairajah P, Burton K, et al. The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: A systematic review and meta-analysis[J]. Sleep Medicine Reviews, 2016, 25: 52-73.

[5] [5] Morgan V, Price R, Arain A, et al. Resting functional MRI with temporal clustering analysis for localization of epileptic activity without EEG[J]. NeuroImage, 2004, 21(1): 473-481.

[6] [6] Zhang T, Zhao Z, Zhang C, et al. Classification of early and late mild cognitive impairment using functional brain network of resting-state fMRI[J]. Frontiers in Psychiatry, 2019, 10: 572.

[11] [11] Byra M, Wu M, Zhang X D, et al. Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U-Net with transfer learning[J]. Magnetic Resonance in Medicine, 2020, 83(3): 1109-1122.

[12] [12] Biswal B, Yetkin F Z, Haughton V M, et al. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI[J]. Magnetic Resonance in Medicine, 1995, 34(4): 537-541.

[13] [13] Zang Y F, He Y, Zhu C Z, et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI[J]. Brain & Development, 2007, 29(2): 83-91.

[14] [14] Zou Q H, Zhu C Z, Yang Y H, et al. An improved approach to detection of Amplitude of Low-Frequency Fluctuation (ALFF) for resting-state fMRI: Fractional ALFF[J]. Journal of Neuroscience Methods, 2008, 172(1): 137-141.

[15] [15] Zang Y F, Jiang T Z, Lu Y L, et al. Regional homogeneity approach to fMRI data analysis[J]. NeuroImage, 2004, 22 (1): 394-400.

[17] [17] Wang C H, Zhao L, Luo Y S, et al. Structural covariance in subcortical stroke patients measured by automated MRI-based volumetry[J]. Neuroimage Clin, 2019, 22: 101682.

[18] [18] Machhale K, Nandpuru H B, Kapur V, et al. MRI brain cancer classification using hybrid classifier (SVM-KNN)[C]//International Conference on Industrial Instrumentation and Control, 2015: 60-65.

[21] [21] Wu X D, Kumar V, Quinlan J R, et al. Top 10 algorithms in data mining[J]. Knowledge and Information Systems, 2008, 14(1): 1-37.

[22] [22] Lee K, Cao X. Bayesian group selection in logistic regression with application to MRI dataanalysis[EB]. arXiv: 1912.01833, 2019.

[23] [23] Wu W T, Li D N, Du J Y, et al. An Intelligent diagnosis method of brain MRI tumor segmentation using deep convolutional neural network and SVM algorithm[J]. Computational and Mathematical Methods in Medicine, 2020, 2020: 6789306.