메뉴 건너뛰기




Volumn 32, Issue , 2016, Pages 84-100

Hyper-connectivity of functional networks for brain disease diagnosis

Author keywords

Alzheimer's disease; Classification; Functional MR imaging; Hyper network

Indexed keywords

BRAIN; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; MAGNETIC RESONANCE IMAGING; SUPPORT VECTOR MACHINES;

EID: 84962434232     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2016.03.003     Document Type: Article
Times cited : (124)

References (92)
  • 1
    • 30744439313 scopus 로고    scopus 로고
    • A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs
    • Achard S., Salvador R., Whitcher B., Suckling J., Bullmore E. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J. Neurosci. 2006, 26:63-72.
    • (2006) J. Neurosci. , vol.26 , pp. 63-72
    • Achard, S.1    Salvador, R.2    Whitcher, B.3    Suckling, J.4    Bullmore, E.5
  • 3
    • 67349152727 scopus 로고    scopus 로고
    • Abnormal functional connectivity of hippocampus during episodic memory retrieval processing network in amnestic mild cognitive impairment
    • Bai F., Zhang Z., Watson D.R., Yu H., Shi Y., Yuan Y., et al. Abnormal functional connectivity of hippocampus during episodic memory retrieval processing network in amnestic mild cognitive impairment. Biol. Psychiatry. 2009, 65:951-958.
    • (2009) Biol. Psychiatry. , vol.65 , pp. 951-958
    • Bai, F.1    Zhang, Z.2    Watson, D.R.3    Yu, H.4    Shi, Y.5    Yuan, Y.6
  • 7
    • 60849136325 scopus 로고    scopus 로고
    • Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to alzheimer's disease
    • Buckner R.L., Sepulcre J., Talukdar T., Krienen F.M., Liu H.S., Hedden T., et al. Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to alzheimer's disease. J. Neurosci. 2009, 29:1860-1873.
    • (2009) J. Neurosci. , vol.29 , pp. 1860-1873
    • Buckner, R.L.1    Sepulcre, J.2    Talukdar, T.3    Krienen, F.M.4    Liu, H.S.5    Hedden, T.6
  • 9
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: graph theoretical analysis of structural and functional systems
    • Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10:186-198.
    • (2009) Nat. Rev. Neurosci. , vol.10 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 11
    • 79953010204 scopus 로고    scopus 로고
    • Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging
    • Chen G., Ward B.D., Xie C., Li W., Wu Z., Jones J.L., 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. Radiology 2011, 259:213-221.
    • (2011) Radiology , vol.259 , pp. 213-221
    • Chen, G.1    Ward, B.D.2    Xie, C.3    Li, W.4    Wu, Z.5    Jones, J.L.6
  • 14
    • 80053654021 scopus 로고    scopus 로고
    • Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
    • 2322
    • Davatzikos C., Bhatt P., Shaw L.M., Batmanghelich K.N., Trojanowski J.Q. Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification. Neurobiol. Aging 2011, 32:e2319-e2327. 2322.
    • (2011) Neurobiol. Aging , vol.32 , pp. e2319-e2327
    • Davatzikos, C.1    Bhatt, P.2    Shaw, L.M.3    Batmanghelich, K.N.4    Trojanowski, J.Q.5
  • 16
    • 43849093120 scopus 로고    scopus 로고
    • Functional abnormalities of the medial temporal lobe memory system in mild cognitive impairment and Alzheimer's disease: insights from functional MRI studies
    • Dickerson B.C., Sperling R.A. Functional abnormalities of the medial temporal lobe memory system in mild cognitive impairment and Alzheimer's disease: insights from functional MRI studies. Neuropsychologia 2008, 46:1624-1635.
    • (2008) Neuropsychologia , vol.46 , pp. 1624-1635
    • Dickerson, B.C.1    Sperling, R.A.2
  • 19
    • 84862782540 scopus 로고    scopus 로고
    • FMRI connectivity analysis of acupuncture effects on the whole brain network in mild cognitive impairment patients
    • Feng Y., Bai L., Ren Y., Chen S., Wang H., Zhang W., et al. FMRI connectivity analysis of acupuncture effects on the whole brain network in mild cognitive impairment patients. Magn. Reson. Imaging 2012, 30:672-682.
    • (2012) Magn. Reson. Imaging , vol.30 , pp. 672-682
    • Feng, Y.1    Bai, L.2    Ren, Y.3    Chen, S.4    Wang, H.5    Zhang, W.6
  • 20
    • 67651054970 scopus 로고    scopus 로고
    • Resting-state BOLD networks versus task-associated functional MRI for distinguishing Alzheimer's disease risk groups
    • Fleisher A.S., Sherzai A., Taylor C., Langbaum J.B., Chen K., Buxton R.B. Resting-state BOLD networks versus task-associated functional MRI for distinguishing Alzheimer's disease risk groups. Neuroimage 2009, 47:1678-1690.
    • (2009) Neuroimage , vol.47 , pp. 1678-1690
    • Fleisher, A.S.1    Sherzai, A.2    Taylor, C.3    Langbaum, J.B.4    Chen, K.5    Buxton, R.B.6
  • 21
    • 84880332133 scopus 로고    scopus 로고
    • Graph analysis of the human connectome: promise, progress, and pitfalls
    • Fornito A., Zalesky A., Breakspear M. Graph analysis of the human connectome: promise, progress, and pitfalls. Neuroimage 2013, 80:426-444.
    • (2013) Neuroimage , vol.80 , pp. 426-444
    • Fornito, A.1    Zalesky, A.2    Breakspear, M.3
  • 22
    • 78149420706 scopus 로고    scopus 로고
    • Network scaling effects in graph analytic studies of human resting-state fMRI data
    • Fornito A., Zalesky A., Bullmore E.T. Network scaling effects in graph analytic studies of human resting-state fMRI data. Front. Syst. Neurosci. 2010, 4:22.
    • (2010) Front. Syst. Neurosci. , vol.4 , pp. 22
    • Fornito, A.1    Zalesky, A.2    Bullmore, E.T.3
  • 23
    • 66349133709 scopus 로고    scopus 로고
    • The global signal and observed anticorrelated resting state brain networks
    • Fox M.D., Zhang D., Snyder A.Z., Raichle M.E. The global signal and observed anticorrelated resting state brain networks. J. Neurophysiol. 2009, 101:3270-3283.
    • (2009) J. Neurophysiol. , vol.101 , pp. 3270-3283
    • Fox, M.D.1    Zhang, D.2    Snyder, A.Z.3    Raichle, M.E.4
  • 26
    • 79959354385 scopus 로고    scopus 로고
    • Sparse low-order interaction network underlies a highly correlated and learnable neural population code
    • Ganmor E., Segev R., Schneidman E. Sparse low-order interaction network underlies a highly correlated and learnable neural population code. Proc. Natl. Acad. Sci. USA 2011, 108:9679-9684.
    • (2011) Proc. Natl. Acad. Sci. USA , vol.108 , pp. 9679-9684
    • Ganmor, E.1    Segev, R.2    Schneidman, E.3
  • 27
    • 0035050289 scopus 로고    scopus 로고
    • Altered brain functional connectivity and impaired short-term memory in Alzheimer's disease
    • Grady C.L., Furey M.L., Pietrini P., Horwitz B., Rapoport S.I. Altered brain functional connectivity and impaired short-term memory in Alzheimer's disease. Brain 2001, 124:739-756.
    • (2001) Brain , vol.124 , pp. 739-756
    • Grady, C.L.1    Furey, M.L.2    Pietrini, P.3    Horwitz, B.4    Rapoport, S.I.5
  • 28
    • 0037319161 scopus 로고    scopus 로고
    • Evidence from functional neuroimaging of a compensatory prefrontal network in Alzheimer's disease
    • Grady C.L., McIntosh A.R., Beig S., Keightley M.L., Burian H., Black S.E. Evidence from functional neuroimaging of a compensatory prefrontal network in Alzheimer's disease. J. Neurosci. 2003, 23:986-993.
    • (2003) J. Neurosci. , vol.23 , pp. 986-993
    • Grady, C.L.1    McIntosh, A.R.2    Beig, S.3    Keightley, M.L.4    Burian, H.5    Black, S.E.6
  • 29
    • 1842427969 scopus 로고    scopus 로고
    • Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI
    • Greicius M.D., Srivastava G., Reiss A.L., Menon V. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proc. Natl. Acad. Sci. U. S. A. 2004, 101:4637-4642.
    • (2004) Proc. Natl. Acad. Sci. U. S. A. , vol.101 , pp. 4637-4642
    • Greicius, M.D.1    Srivastava, G.2    Reiss, A.L.3    Menon, V.4
  • 30
    • 57749172272 scopus 로고    scopus 로고
    • Resting-state functional connectivity reflects structural connectivity in the default mode network
    • Greicius M.D., Supekar K., Menon V., Dougherty R.F. Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb. Cortex 2009, 19:72-78.
    • (2009) Cereb. Cortex , vol.19 , pp. 72-78
    • Greicius, M.D.1    Supekar, K.2    Menon, V.3    Dougherty, R.F.4
  • 31
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Guyon I., Elisseeff A. An introduction to variable and feature selection. J. Mach. Learn. Res. 2003, 3:1157-1182.
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 33
    • 78951472554 scopus 로고    scopus 로고
    • Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study
    • Han Y., Wang J., Zhao Z., Min B., Lu J., Li K., He Y., Jia J. Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: a resting-state fMRI study. Neuroimage 2011, 55:287-295.
    • (2011) Neuroimage , vol.55 , pp. 287-295
    • Han, Y.1    Wang, J.2    Zhao, Z.3    Min, B.4    Lu, J.5    Li, K.6    He, Y.7    Jia, J.8
  • 34
    • 77952317463 scopus 로고    scopus 로고
    • Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data
    • Hayasaka S., Laurienti P.J. Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data. Neuroimage 2010, 50:499-508.
    • (2010) Neuroimage , vol.50 , pp. 499-508
    • Hayasaka, S.1    Laurienti, P.J.2
  • 35
    • 77249118678 scopus 로고    scopus 로고
    • Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation
    • Huang S., Li J., Sun L., Ye J., Fleisher A., Wu T., et al. Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation. Neuroimage 2010, 50:935-949.
    • (2010) Neuroimage , vol.50 , pp. 935-949
    • Huang, S.1    Li, J.2    Sun, L.3    Ye, J.4    Fleisher, A.5    Wu, T.6
  • 37
    • 84922322664 scopus 로고    scopus 로고
    • Manifold regularized multitask feature learning for multimodality disease classification
    • Jie B., Zhang D., Cheng B., Shen D. Manifold regularized multitask feature learning for multimodality disease classification. Hum. Brain Mapp. 2014, 10.1002/hbm.22642.
    • (2014) Hum. Brain Mapp.
    • Jie, B.1    Zhang, D.2    Cheng, B.3    Shen, D.4
  • 38
    • 84893330870 scopus 로고    scopus 로고
    • Integration of network topological and connectivity properties for neuroimaging classification
    • Jie B., Zhang D., Gao W., Wang Q., Wee C.Y., Shen D. Integration of network topological and connectivity properties for neuroimaging classification. IEEE Trans. Biomed. Eng. 2014, 61:576-589.
    • (2014) IEEE Trans. Biomed. Eng. , vol.61 , pp. 576-589
    • Jie, B.1    Zhang, D.2    Gao, W.3    Wang, Q.4    Wee, C.Y.5    Shen, D.6
  • 39
    • 79959700035 scopus 로고    scopus 로고
    • A tutorial in connectome analysis: Topological and spatial features of brain networks
    • Kaiser M. A tutorial in connectome analysis: Topological and spatial features of brain networks. Neuroimage 2011, 57:892-907.
    • (2011) Neuroimage , vol.57 , pp. 892-907
    • Kaiser, M.1
  • 42
    • 84900793685 scopus 로고    scopus 로고
    • Impaired long distance functional connectivity and weighted network architecture in Alzheimer's disease
    • Liu Y., Yu C., Zhang X., Liu J., Duan Y., Alexander-Bloch A.F., et al. Impaired long distance functional connectivity and weighted network architecture in Alzheimer's disease. Cereb. Cortex 2014, 24:1422-1435.
    • (2014) Cereb. Cortex , vol.24 , pp. 1422-1435
    • Liu, Y.1    Yu, C.2    Zhang, X.3    Liu, J.4    Duan, Y.5    Alexander-Bloch, A.F.6
  • 43
    • 84863864692 scopus 로고    scopus 로고
    • Altered topological patterns of brain networks in mild cognitive impairment and Alzheimer's disease: a resting-state fMRI study
    • Liu Z., Zhang Y., Yan H., Bai L., Dai R., Wei W., et al. Altered topological patterns of brain networks in mild cognitive impairment and Alzheimer's disease: a resting-state fMRI study. Psychiatry Res. 2012, 202:118-125.
    • (2012) Psychiatry Res. , vol.202 , pp. 118-125
    • Liu, Z.1    Zhang, Y.2    Yan, H.3    Bai, L.4    Dai, R.5    Wei, W.6
  • 47
    • 69649100779 scopus 로고    scopus 로고
    • The impact of high-order interactions on the rate of synchronous discharge and information transmission in somatosensory cortex
    • Montani F., Ince R.A., Senatore R., Arabzadeh E., Diamond M.E., Panzeri S. The impact of high-order interactions on the rate of synchronous discharge and information transmission in somatosensory cortex. Philos. Trans. A Math. Phys. Eng. Sci. 2009, 367:3297-3310.
    • (2009) Philos. Trans. A Math. Phys. Eng. Sci. , vol.367 , pp. 3297-3310
    • Montani, F.1    Ince, R.A.2    Senatore, R.3    Arabzadeh, E.4    Diamond, M.E.5    Panzeri, S.6
  • 48
    • 57649158932 scopus 로고    scopus 로고
    • The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?
    • Murphy K., Birn R.M., Handwerker D.A., Jones T.B., Bandettini P.A. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?. Neuroimage 2009, 44:893-905.
    • (2009) Neuroimage , vol.44 , pp. 893-905
    • Murphy, K.1    Birn, R.M.2    Handwerker, D.A.3    Jones, T.B.4    Bandettini, P.A.5
  • 49
    • 80052323328 scopus 로고    scopus 로고
    • Generalized sparse regularization with application to fMRI brain decoding
    • Ng B., Abugharbieh R. Generalized sparse regularization with application to fMRI brain decoding. Inf. Process. Med. Imaging 2011, 22:612-623.
    • (2011) Inf. Process. Med. Imaging , vol.22 , pp. 612-623
    • Ng, B.1    Abugharbieh, R.2
  • 52
    • 77953322499 scopus 로고    scopus 로고
    • Joint covariate selection and joint subspace selection for multiple classification problems
    • Obozinski G., Taskar B., Jordan M.I. Joint covariate selection and joint subspace selection for multiple classification problems. Stat. Comput. 2010, 20:231-252.
    • (2010) Stat. Comput. , vol.20 , pp. 231-252
    • Obozinski, G.1    Taskar, B.2    Jordan, M.I.3
  • 55
    • 84902189224 scopus 로고    scopus 로고
    • Functional networks connectivity in patients with Alzheimer's disease and mild cognitive impairment
    • 170-170
    • Pievani M., Agosta F., Galluzzi S., Filippi M., Frisoni G.B. Functional networks connectivity in patients with Alzheimer's disease and mild cognitive impairment. J. Neur. 2011, 258. 170-170.
    • (2011) J. Neur. , vol.258
    • Pievani, M.1    Agosta, F.2    Galluzzi, S.3    Filippi, M.4    Frisoni, G.B.5
  • 56
    • 84863671296 scopus 로고    scopus 로고
    • Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity
    • Richiardi J., Gschwind M., Simioni S., Annoni J.M., Greco B., Hagmann P., et al. Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity. Neuroimage 2012, 62:2021-2033.
    • (2012) Neuroimage , vol.62 , pp. 2021-2033
    • Richiardi, J.1    Gschwind, M.2    Simioni, S.3    Annoni, J.M.4    Greco, B.5    Hagmann, P.6
  • 57
    • 77954385460 scopus 로고    scopus 로고
    • Complex network measures of brain connectivity: uses and interpretations
    • Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage 2010, 52:1059-1069.
    • (2010) Neuroimage , vol.52 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 58
    • 80052446259 scopus 로고    scopus 로고
    • Cognitive impairment: an independent predictor of excess mortality: a cohort study
    • Sachs G.A., Carter R., Holtz L.R., Smith F., Stump T.E., Tu W., et al. Cognitive impairment: an independent predictor of excess mortality: a cohort study. Ann. Intern. Med. 2011, 155:300-308.
    • (2011) Ann. Intern. Med. , vol.155 , pp. 300-308
    • Sachs, G.A.1    Carter, R.2    Holtz, L.R.3    Smith, F.4    Stump, T.E.5    Tu, W.6
  • 59
    • 78249275549 scopus 로고    scopus 로고
    • Loss of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity
    • Sanz-Arigita E.J., Schoonheim M.M., Damoiseaux J.S., Rombouts S.A., Maris E., Barkhof F., et al. Loss of 'small-world' networks in Alzheimer's disease: graph analysis of FMRI resting-state functional connectivity. Plos One 2010, 5:e13788.
    • (2010) Plos One , vol.5 , pp. e13788
    • Sanz-Arigita, E.J.1    Schoonheim, M.M.2    Damoiseaux, J.S.3    Rombouts, S.A.4    Maris, E.5    Barkhof, F.6
  • 60
    • 64149093013 scopus 로고    scopus 로고
    • Neurodegenerative diseases target large-scale human brain networks
    • Seeley W.W., Crawford R.K., Zhou J., Miller B.L., Greicius M.D. Neurodegenerative diseases target large-scale human brain networks. Neuron 2009, 62:42-52.
    • (2009) Neuron , vol.62 , pp. 42-52
    • Seeley, W.W.1    Crawford, R.K.2    Zhou, J.3    Miller, B.L.4    Greicius, M.D.5
  • 61
    • 0036880516 scopus 로고    scopus 로고
    • HAMMER: hierarchical attribute matching mechanism for elastic registration
    • Shen D., Davatzikos C. HAMMER: hierarchical attribute matching mechanism for elastic registration. IEEE Trans. Med. Imaging 2002, 21:1421-1439.
    • (2002) IEEE Trans. Med. Imaging , vol.21 , pp. 1421-1439
    • Shen, D.1    Davatzikos, C.2
  • 62
    • 73749086757 scopus 로고    scopus 로고
    • Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI
    • Shen H., Wang L.B., Liu Y.D., Hu D.W. Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI. Neuroimage 2010, 49:3110-3121.
    • (2010) Neuroimage , vol.49 , pp. 3110-3121
    • Shen, H.1    Wang, L.B.2    Liu, Y.D.3    Hu, D.W.4
  • 65
    • 79954516559 scopus 로고    scopus 로고
    • The human connectome: a complex network
    • Sporns O. The human connectome: a complex network. Ann. N. Y. Acad. Sci. 2011, 1224:109-125.
    • (2011) Ann. N. Y. Acad. Sci. , vol.1224 , pp. 109-125
    • Sporns, O.1
  • 66
    • 84862976101 scopus 로고    scopus 로고
    • From simple graphs to the connectome: networks in neuroimaging
    • Sporns O. From simple graphs to the connectome: networks in neuroimaging. Neuroimage 2012, 62:881-886.
    • (2012) Neuroimage , vol.62 , pp. 881-886
    • Sporns, O.1
  • 67
    • 84899657213 scopus 로고    scopus 로고
    • Contributions and challenges for network models in cognitive neuroscience
    • Sporns O. Contributions and challenges for network models in cognitive neuroscience. Nat. Neurosci. 2014, 17:652-660.
    • (2014) Nat. Neurosci. , vol.17 , pp. 652-660
    • Sporns, O.1
  • 69
  • 70
    • 46249131887 scopus 로고    scopus 로고
    • Network analysis of intrinsic functional brain connectivity in Alzheimer's disease
    • Supekar K., Menon V., Rubin D., Musen M., Greicius M.D. Network analysis of intrinsic functional brain connectivity in Alzheimer's disease. PLOS Comput. Biol. 2008, 4.
    • (2008) PLOS Comput. Biol. , vol.4
    • Supekar, K.1    Menon, V.2    Rubin, D.3    Musen, M.4    Greicius, M.D.5
  • 71
    • 0036322886 scopus 로고    scopus 로고
    • Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain
    • Tzourio-Mazoyer N., Landeau B., Papathanassiou D., Crivello F., Etard O., Delcroix N., et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 2002, 15:273-289.
    • (2002) Neuroimage , vol.15 , pp. 273-289
    • Tzourio-Mazoyer, N.1    Landeau, B.2    Papathanassiou, D.3    Crivello, F.4    Etard, O.5    Delcroix, N.6
  • 72
    • 0033913711 scopus 로고    scopus 로고
    • The parahippocampal gyrus in Alzheimer's disease. Clinical and preclinical neuroanatomical correlates
    • Van Hoesen G.W., Augustinack J.C., Dierking J., Redman S.J., Thangavel R. The parahippocampal gyrus in Alzheimer's disease. Clinical and preclinical neuroanatomical correlates. Ann. N. Y. Acad. Sci. 2000, 911:254-274.
    • (2000) Ann. N. Y. Acad. Sci. , vol.911 , pp. 254-274
    • Van Hoesen, G.W.1    Augustinack, J.C.2    Dierking, J.3    Redman, S.J.4    Thangavel, R.5
  • 73
    • 34247338434 scopus 로고    scopus 로고
    • A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction
    • Velez D.R., White B.C., Motsinger A.A., Bush W.S., Ritchie M.D., Williams S.M., et al. A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction. Genet. Epidemiol. 2007, 31:306-315.
    • (2007) Genet. Epidemiol. , vol.31 , pp. 306-315
    • Velez, D.R.1    White, B.C.2    Motsinger, A.A.3    Bush, W.S.4    Ritchie, M.D.5    Williams, S.M.6
  • 74
    • 84873647166 scopus 로고    scopus 로고
    • Disrupted functional brain connectome in individuals at risk for Alzheimer's disease
    • Wang J., Zuo X., Dai Z., Xia M., Zhao Z., Zhao X., et al. Disrupted functional brain connectome in individuals at risk for Alzheimer's disease. Biol. Psychiatry 2013, 73:472-481.
    • (2013) Biol. Psychiatry , vol.73 , pp. 472-481
    • Wang, J.1    Zuo, X.2    Dai, Z.3    Xia, M.4    Zhao, Z.5    Zhao, X.6
  • 75
    • 35148890661 scopus 로고    scopus 로고
    • Altered functional connectivity in early Alzheimer's disease: a resting-state fMRI study
    • Wang K., Liang M., Wang L., Tian L., Zhang X., Li K., et al. Altered functional connectivity in early Alzheimer's disease: a resting-state fMRI study. Hum. Brain Mapp. 2007, 28:967-978.
    • (2007) Hum. Brain Mapp. , vol.28 , pp. 967-978
    • Wang, K.1    Liang, M.2    Wang, L.3    Tian, L.4    Zhang, X.5    Li, K.6
  • 76
    • 84855598374 scopus 로고    scopus 로고
    • Changes in thalamus connectivity in mild cognitive impairment: evidence from resting state fMRI
    • Wang Z., Jia X., Liang P., Qi Z., Yang Y., Zhou W., et al. Changes in thalamus connectivity in mild cognitive impairment: evidence from resting state fMRI. Eur. J. Radiol. 2012, 81:277-285.
    • (2012) Eur. J. Radiol. , vol.81 , pp. 277-285
    • Wang, Z.1    Jia, X.2    Liang, P.3    Qi, Z.4    Yang, Y.5    Zhou, W.6
  • 78
    • 84855453290 scopus 로고    scopus 로고
    • Identification of MCI individuals using structural and functional connectivity networks
    • Wee C.Y., Yap P.T., Zhang D., Denny K., Browndyke J.N., Potter G.G., et al. Identification of MCI individuals using structural and functional connectivity networks. Neuroimage 2012, 59:2045-2056.
    • (2012) Neuroimage , vol.59 , pp. 2045-2056
    • Wee, C.Y.1    Yap, P.T.2    Zhang, D.3    Denny, K.4    Browndyke, J.N.5    Potter, G.G.6
  • 79
    • 84886240845 scopus 로고    scopus 로고
    • Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns
    • Wee C.Y., Yap P.T., Shen D.G. Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns. Hum. Brain Mapp. 2013, 34:3411-3425.
    • (2013) Hum. Brain Mapp. , vol.34 , pp. 3411-3425
    • Wee, C.Y.1    Yap, P.T.2    Shen, D.G.3
  • 80
    • 84896048486 scopus 로고    scopus 로고
    • Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification
    • Wee C.Y., Yap P.T., Zhang D., Wang L., Shen D. Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification. Brain Struct. Funct. 2014, 219:641-656.
    • (2014) Brain Struct. Funct. , vol.219 , pp. 641-656
    • Wee, C.Y.1    Yap, P.T.2    Zhang, D.3    Wang, L.4    Shen, D.5
  • 82
    • 84864144762 scopus 로고    scopus 로고
    • Mapping the Alzheimer's brain with connectomics
    • Xie T., He Y. Mapping the Alzheimer's brain with connectomics. Front. Psychiatry 2011, 2:77.
    • (2011) Front. Psychiatry , vol.2 , pp. 77
    • Xie, T.1    He, Y.2
  • 84
    • 84881183982 scopus 로고    scopus 로고
    • Decreased functional connectivity of the amygdala in Alzheimer's disease revealed by resting-state fMRI
    • Yao H., Liu Y., Zhou B., Zhang Z., An N., Wang P., et al. Decreased functional connectivity of the amygdala in Alzheimer's disease revealed by resting-state fMRI. Eur. J. Radiol. 2013, 82:1531-1538.
    • (2013) Eur. J. Radiol. , vol.82 , pp. 1531-1538
    • Yao, H.1    Liu, Y.2    Zhou, B.3    Zhang, Z.4    An, N.5    Wang, P.6
  • 85
    • 78649653305 scopus 로고    scopus 로고
    • Abnormal cortical networks in mild cognitive impairment and Alzheimer's disease
    • Yao Z., Zhang Y., Lin L., Zhou Y., Xu C., Jiang T. Abnormal cortical networks in mild cognitive impairment and Alzheimer's disease. Plos Comput. Biol. 2010, 6.
    • (2010) Plos Comput. Biol. , vol.6
    • Yao, Z.1    Zhang, Y.2    Lin, L.3    Zhou, Y.4    Xu, C.5    Jiang, T.6
  • 86
    • 84862575703 scopus 로고    scopus 로고
    • Adaptive hypergraph learning and its application in image classification
    • Yu J., Tao D., Wang M. Adaptive hypergraph learning and its application in image classification. IEEE Trans. Image Process 2012, 21:3262-3272.
    • (2012) IEEE Trans. Image Process , vol.21 , pp. 3262-3272
    • Yu, J.1    Tao, D.2    Wang, M.3
  • 87
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • Yuan M., Lin Y. Model selection and estimation in regression with grouped variables. J. R. Stat. Soc.: Series B (Stat. Methodol.) 2006, 68:49-67.
    • (2006) J. R. Stat. Soc.: Series B (Stat. Methodol.) , vol.68 , pp. 49-67
    • Yuan, M.1    Lin, Y.2
  • 90
    • 84866058332 scopus 로고    scopus 로고
    • Optimizing functional network representation of multivariate time series
    • Zanin M., Sousa P., Papo D., Bajo R., Garcia-Prieto J., del Pozo F., et al. Optimizing functional network representation of multivariate time series. Sci. Rep. 2012, 2:630.
    • (2012) Sci. Rep. , vol.2 , pp. 630
    • Zanin, M.1    Sousa, P.2    Papo, D.3    Bajo, R.4    Garcia-Prieto, J.5    del Pozo, F.6
  • 91
    • 79952073234 scopus 로고    scopus 로고
    • Multimodal classification of Alzheimer's disease and mild cognitive impairment
    • Zhang D., Wang Y., Zhou L., Yuan H., Shen D. Multimodal classification of Alzheimer's disease and mild cognitive impairment. Neuroimage 2011, 55:856-867.
    • (2011) Neuroimage , vol.55 , pp. 856-867
    • Zhang, D.1    Wang, Y.2    Zhou, L.3    Yuan, H.4    Shen, D.5
  • 92
    • 84864027458 scopus 로고    scopus 로고
    • Learning with hypergraphs: clustering, classification, and embedding
    • MIT Press, Vancouver, British Columbia, Canada
    • Zhou D., Huang J., Schölkopf B. Learning with hypergraphs: clustering, classification, and embedding. Advances in neural information processing systems (NIPS) 2006, 1601-1608. MIT Press, Vancouver, British Columbia, Canada.
    • (2006) Advances in neural information processing systems (NIPS) , pp. 1601-1608
    • Zhou, D.1    Huang, J.2    Schölkopf, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.