[1] ASSOCIATION A. 2010 Alzheimer's disease facts and figures[J]. Alzheimers & Dementia, 2010, 6(2):158-194. [2] BROOKMEYER R, JOHNSON E, ZIEGLER-GRAHAM K, et al. Forecasting the global burden of Alzheimer's disease[J]. Alzheimer's & Dementia, 2007, 3(3):186-191. [3] MCKHANN G, DRACHMAN D, FOLSTEIN M, et al. Clinical diagnosis of Alzheimer's disease report of the NINCDS-ADRDA work group* under the auspices of department of health and human services task force on Alzheimer's disease[J]. Neurology, 1984, 34(7):939-939. [4] STAM C J, JONES B F, MANSHANDEN I, et al. Magnetoencephalographic evaluation of resting-state functional connectivity in Alzheimer's disease[J]. NeuroImage, 2006, 32(3):1335-1344. [5] ZHOU B, YAO H, WANG P, et al. Aberrant functional connectivity architecture in Alzheimer's disease and mild cognitive impairment:a whole-brain, data-driven analysis[EB/OL].[2017-06-20]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4475740/pdf/BMRI2015-495375.pdf. [6] 张乐乐, 赵小虎, 林起湘,等. AD患者脑功能偏侧性改变的静息态fMRI研究[J]. 同济大学学报(医学版), 2016, 37(4):60-64. (ZHANG L L, ZHAO X H, LIN Q X, et al.Study on resting fMRI of biopsy in patients with AD[J]. Journal of Tongji University (Medical Sciences), 2016, 37(4):60-64.) [7] 张朦. 基于MRI的AD早期患者脑网络拓扑特性研究[D]. 北京:北京理工大学, 2015. (ZHANG M. Study on brain network topological characteristics of AD patients based on MRI[D]. Beijing:Beijing University of Science and Technology, 2015.) [8] WANG K, LIANG M, WANG L, et al. Altered functional connectivity in early Alzheimer's disease:a resting-state fMRI study[J]. Human Brain Mapping, 2007, 28(10):967-978. [9] PLIS S M, SUI J, LANE T, et al. High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia[J]. NeuroImage, 2014, 102:35-48. [10] JIE B, WEE C Y, SHEN D, et al. Hyper-connectivity of functional networks for brain disease diagnosis[J]. Medical Image Analysis, 2016, 32:84-100. [11] TEWARIE P, VAN DELLEN E, HILLEBRAND A, et al. The minimum spanning tree:an unbiased method for brain network analysis[J]. NeuroImage, 2015, 104:177-188. [12] TZOURIO-MAZOYER N, LANDEAU B, PAPATHANASSIOU D, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain[J]. NeuroImage, 2002, 15(1):273-289. [13] RUBINOV M, SPORNS O. Complex network measures of brain connectivity:uses and interpretations[J]. NeuroImage, 2010, 52(3):1059-1069. [14] LI X, CHANG L, ZHENG K, et al. Ranking weighted clustering coefficient in large dynamic graphs[J]. World Wide Web, 2017, 2015:855-883. [15] WEE C Y, YAP P T, ZHANG D, et al. Identification of MCI individuals using structural and functional connectivity networks[J]. NeuroImage, 2012, 59(3):2045-2056. [16] CHANG C C, LIN C J. LIBSVM:a library for support vector machines[J]. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3):27. [17] CHEN G, WARD B D, XIE C, et al. Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging[J]. Radiology, 2011, 259(1):213-221. [18] ROSA M J, PORTUGAL L, HAHN T, et al. Sparse network-based models for patient classification using fMRI[J]. NeuroImage, 2015, 105:493-506. [19] WEE C Y, YANG S, YAP P T, et al. Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification[J]. Brain Imaging and Behavior, 2013, 10(2):342-356. [20] AGGLETON J P, PRALUS A, NELSON A J D, et al. Thalamic pathology and memory loss in early Alzheimer's disease:moving the focus from the medial temporal lobe to Papez circuit[J]. Brain, 2016, 139(7):1877-1890. [21] ZAMBONI G, WILCOCK G K, DOUAUD G, et al. Resting functional connectivity reveals residual functional activity in Alzheimer's disease[J]. Biological Psychiatry, 2013, 74(5):375-383. [22] GRADY C L, FUREY M L, PIETRINI P, et al. Altered brain functional connectivity and impaired short-term memory in Alzheimer's disease[J]. Brain, 2001, 124(4):739-756. [23] SUN Y, YIN Q, FANG R, et al. Disrupted functional brain connectivity and its association to structural connectivity in amnestic mild cognitive impairment and Alzheimer's disease[J]. PloS One, 2014, 9(5):e96505. [24] MAXIM V, SENDUR L, FADILI J, et al. Fractional Gaussian noise, functional MRI and Alzheimer's disease[J]. NeuroImage, 2005, 25(1):141-158. [25] 奉国和. SVM分类核函数及参数选择比较[J]. 计算机工程与应用, 2011, 47(3):123-124. (FENG G H. SVM classification kernel function and parameter selection comparison[J]. Computer Engineering and Applications, 2011, 47(3):123-124.) |