메뉴 건너뛰기




Volumn 9, Issue 8, 2014, Pages

Predicting progression of Alzheimer's disease using ordinal regression

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AGED; AGING; ALZHEIMER DISEASE; ARTICLE; BRAIN ATROPHY; BRAIN REGION; COHORT ANALYSIS; CONTROLLED STUDY; CORTICAL THICKNESS (BRAIN); DISEASE COURSE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; ORDINAL REGRESSION ANALYSIS; PREDICTION; PROBABILITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; VALIDATION STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; MATHEMATICAL MODEL; MINI MENTAL STATE EXAMINATION; ORDINAL REGRESSION; STATISTICAL PARAMETERS; BIOLOGICAL MODEL; CASE CONTROL STUDY; REGRESSION ANALYSIS; SEVERITY OF ILLNESS INDEX; VERY ELDERLY;

EID: 84927604438     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0105542     Document Type: Article
Times cited : (49)

References (32)
  • 1
    • 79955059574 scopus 로고    scopus 로고
    • Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database
    • Cuingnet R, Gerardin E, Tessieras J, Auzias G, Lehericy S, et al. (2011) Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database. Neuroimage 56: 766-781.
    • (2011) Neuroimage , vol.56 , pp. 766-781
    • Cuingnet, R.1    Gerardin, E.2    Tessieras, J.3    Auzias, G.4    Lehericy, S.5
  • 3
    • 84868582487 scopus 로고    scopus 로고
    • Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning
    • Eskildsen SF, Coupe P, Garcia-Lorenzo D, Fonov V, Pruessner JC, et al. (2013) Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning. Neuroimage 65: 511-521.
    • (2013) Neuroimage , vol.65 , pp. 511-521
    • Eskildsen, S.F.1    Coupe, P.2    Garcia-Lorenzo, D.3    Fonov, V.4    Pruessner, J.C.5
  • 4
    • 80053470149 scopus 로고    scopus 로고
    • Ordinal ranking for detecting mild cognitive impairment and Alzheimer's disease based on multimodal neuroimages and CSF biomarkers
    • ADNI Springer-Verlag
    • Fan Y, ADNI (2011) Ordinal ranking for detecting mild cognitive impairment and Alzheimer's disease based on multimodal neuroimages and CSF biomarkers. Proceedings of the First international conference on multimodal brain image analysis. Toronto, Canada: Springer-Verlag. 44-51.
    • (2011) Proceedings of the First International Conference on Multimodal Brain Image Analysis. Toronto, Canada , pp. 44-51
    • Fan, Y.1
  • 5
    • 84868215748 scopus 로고    scopus 로고
    • Random forest-based similarity measures for multi-modal classification of Alzheimer's disease
    • Gray KR, Aljabar P, Heckemann RA, Hammers A, Rueckert D (2013) Random forest-based similarity measures for multi-modal classification of Alzheimer's disease. Neuroimage 65: 167-175.
    • (2013) Neuroimage , vol.65 , pp. 167-175
    • Gray, K.R.1    Aljabar, P.2    Heckemann, R.A.3    Hammers, A.4    Rueckert, D.5
  • 6
    • 84861645859 scopus 로고    scopus 로고
    • Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion
    • Westman E, Muehlboeck JS, Simmons A (2012) Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion. Neuroimage 62: 229-238.
    • (2012) Neuroimage , vol.62 , pp. 229-238
    • Westman, E.1    Muehlboeck, J.S.2    Simmons, A.3
  • 7
    • 79960638062 scopus 로고    scopus 로고
    • Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors
    • Cui Y, Liu B, Luo S, Zhen X, Fan M, et al. (2011) Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors. PLoS One 6: e21896.
    • (2011) PLoS One , vol.6
    • Cui, Y.1    Liu, B.2    Luo, S.3    Zhen, X.4    Fan, M.5
  • 8
    • 84879076294 scopus 로고    scopus 로고
    • Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment
    • Young J, Modat M, Cardoso MJ, Mendelson A, Cash D, et al. (2013) Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment. NeuroImage: Clinical 2: 735-745.
    • (2013) NeuroImage: Clinical , vol.2 , pp. 735-745
    • Young, J.1    Modat, M.2    Cardoso, M.J.3    Mendelson, A.4    Cash, D.5
  • 9
    • 64949166661 scopus 로고    scopus 로고
    • Alzheimer disease: Quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment
    • McEvoy LK, Fennema-Notestine C, Roddey JC, Hagler DJ Jr., Holland D, et al. (2009) Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment. Radiology 251: 195-205.
    • (2009) Radiology , vol.251 , pp. 195-205
    • McEvoy, L.K.1    Fennema-Notestine, C.2    Roddey, J.C.3    Hagler Jr., D.J.4    Holland, D.5
  • 10
    • 80054077865 scopus 로고    scopus 로고
    • Multimethod analysis of MRI images in early diagnostics of Alzheimer's disease
    • Wolz R, Julkunen V, Koikkalainen J, Niskanen E, Zhang DP, et al. (2011) Multimethod analysis of MRI images in early diagnostics of Alzheimer's disease. PLoS One 6: e25446.
    • (2011) PLoS One , vol.6
    • Wolz, R.1    Julkunen, V.2    Koikkalainen, J.3    Niskanen, E.4    Zhang, D.P.5
  • 12
    • 84875867608 scopus 로고    scopus 로고
    • Cerebral atrophy in mild cognitive impairment and Alzheimer disease: Rates and acceleration
    • Leung KK, Bartlett JW, Barnes J, Manning EN, Ourselin S, et al. (2013) Cerebral atrophy in mild cognitive impairment and Alzheimer disease: rates and acceleration. Neurology 80: 648-654.
    • (2013) Neurology , vol.80 , pp. 648-654
    • Leung, K.K.1    Bartlett, J.W.2    Barnes, J.3    Manning, E.N.4    Ourselin, S.5
  • 13
    • 0842283229 scopus 로고    scopus 로고
    • Imaging cerebral atrophy: Normal ageing to Alzheimer's disease
    • DOI 10.1016/S0140-6736(04)15441-X
    • Fox NC, Schott JM (2004) Imaging cerebral atrophy: normal ageing to Alzheimer's disease. Lancet 363: 392-394. (Pubitemid 38169550)
    • (2004) Lancet , vol.363 , Issue.9406 , pp. 392-394
    • Fox, N.C.1    Schott, J.M.2
  • 15
    • 21844453228 scopus 로고    scopus 로고
    • Gaussian processes for ordinal regression
    • Chu W, Ghahramani Z (2005) Gaussian processes for ordinal regression. J Mach Learn Res 6: 1019-1041.
    • (2005) J Mach Learn Res , vol.6 , pp. 1019-1041
    • Chu, W.1    Ghahramani, Z.2
  • 16
    • 43249088807 scopus 로고    scopus 로고
    • Whole-brain atrophy rate in Alzheimer disease: Identifying fast progressors
    • DOI 10.1212/01.wnl.0000311446.61861.e3, PII 0000611420080506100016
    • Sluimer JD, Vrenken H, Blankenstein MA, Fox NC, Scheltens P, et al. (2008) Whole-brain atrophy rate in Alzheimer disease: identifying fast progressors. Neurology 70: 1836-1841. (Pubitemid 351653952)
    • (2008) Neurology , vol.70 , Issue.19 PART 2 , pp. 1836-1841
    • Sluimer, J.D.1    Vrenken, H.2    Blankenstein, M.A.3    Fox, N.C.4    Scheltens, P.5    Barkhof, F.6    Van Der, F.W.M.7
  • 17
    • 72049130805 scopus 로고    scopus 로고
    • Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
    • Jack CR Jr., Knopman DS, Jagust WJ, Shaw LM, Aisen PS, et al. (2010) Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. Lancet Neurol 9: 119-128.
    • (2010) Lancet Neurol , vol.9 , pp. 119-128
    • Jack Jr., C.R.1    Knopman, D.S.2    Jagust, W.J.3    Shaw, L.M.4    Aisen, P.S.5
  • 18
    • 84858336735 scopus 로고    scopus 로고
    • Nonlinear time course of brain volume loss in cognitively normal and impaired elders
    • Schuff N, Tosun D, Insel PS, Chiang GC, Truran D, et al. (2012) Nonlinear time course of brain volume loss in cognitively normal and impaired elders. Neurobiol Aging 33: 845-855.
    • (2012) Neurobiol Aging , vol.33 , pp. 845-855
    • Schuff, N.1    Tosun, D.2    Insel, P.S.3    Chiang, G.C.4    Truran, D.5
  • 20
    • 84881226895 scopus 로고    scopus 로고
    • Locally linear embedding (LLE) for MRI based Alzheimer's disease classification
    • Liu X, Tosun D, Weiner MW, Schuff N (2013) Locally linear embedding (LLE) for MRI based Alzheimer's disease classification. Neuroimage 83C: 148-157.
    • (2013) Neuroimage , vol.83 C , pp. 148-157
    • Liu, X.1    Tosun, D.2    Weiner, M.W.3    Schuff, N.4
  • 22
    • 84872328250 scopus 로고    scopus 로고
    • Regional magnetic resonance imaging measures for multivariate analysis in Alzheimer's disease and mild cognitive impairment
    • Westman E, Aguilar C, Muehlboeck JS, Simmons A (2013) Regional magnetic resonance imaging measures for multivariate analysis in Alzheimer's disease and mild cognitive impairment. Brain Topogr 26: 9-23.
    • (2013) Brain Topogr , vol.26 , pp. 9-23
    • Westman, E.1    Aguilar, C.2    Muehlboeck, J.S.3    Simmons, A.4
  • 23
    • 79954621630 scopus 로고    scopus 로고
    • Consistent neuroanatomical age-related volume differences across multiple samples
    • Walhovd KB, Westlye LT, Amlien I, Espeseth T, Reinvang I, et al. (2011) Consistent neuroanatomical age-related volume differences across multiple samples. Neurobiol Aging 32: 916-932.
    • (2011) Neurobiol Aging , vol.32 , pp. 916-932
    • Walhovd, K.B.1    Westlye, L.T.2    Amlien, I.3    Espeseth, T.4    Reinvang, I.5
  • 25
    • 79551489429 scopus 로고    scopus 로고
    • Gaussian Processes for Machine Learning (GPML) Toolbox
    • Rasmussen CE, Nickisch H (2010) Gaussian Processes for Machine Learning (GPML) Toolbox. J Mach Learn Res 11: 3011-3015.
    • (2010) J Mach Learn Res , vol.11 , pp. 3011-3015
    • Rasmussen, C.E.1    Nickisch, H.2
  • 26
    • 0001008029 scopus 로고
    • Efficient Method for Finding Minimum of Function of Several-Variables without Calculating Derivatives
    • Powell MJD (1964) Efficient Method for Finding Minimum of Function of Several-Variables without Calculating Derivatives. Computer Journal 7: 155-&.
    • (1964) Computer Journal , vol.7 , pp. 155
    • Powell, M.J.D.1
  • 28
    • 79960639731 scopus 로고    scopus 로고
    • AddNeuroMed and ADNI: Similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America
    • Westman E, Simmons A, Muehlboeck JS, Mecocci P, Vellas B, et al. (2011) AddNeuroMed and ADNI: similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America. Neuroimage 58: 818-828.
    • (2011) Neuroimage , vol.58 , pp. 818-828
    • Westman, E.1    Simmons, A.2    Muehlboeck, J.S.3    Mecocci, P.4    Vellas, B.5
  • 29
    • 84875498311 scopus 로고    scopus 로고
    • An MRI-based index to measure the severity of Alzheimer's disease-like structural pattern in subjects with mild cognitive impairment
    • Spulber G, Simmons A, Muehlboeck JS, Mecocci P, Vellas B, et al. (2013) An MRI-based index to measure the severity of Alzheimer's disease-like structural pattern in subjects with mild cognitive impairment. J Intern Med 273: 396-409.
    • (2013) J Intern Med , vol.273 , pp. 396-409
    • Spulber, G.1    Simmons, A.2    Muehlboeck, J.S.3    Mecocci, P.4    Vellas, B.5
  • 30
    • 84875475490 scopus 로고    scopus 로고
    • Quantifying the attenuation of the ketamine pharmacological magnetic resonance imaging response in humans: A validation using antipsychotic and glutamatergic agents
    • Doyle OM, De Simoni S, Schwarz AJ, Brittain C, O'Daly OG, et al. (2013) Quantifying the attenuation of the ketamine pharmacological magnetic resonance imaging response in humans: a validation using antipsychotic and glutamatergic agents. J Pharmacol Exp Ther 345: 151-160.
    • (2013) J Pharmacol Exp Ther , vol.345 , pp. 151-160
    • Doyle, O.M.1    De Simoni, S.2    Schwarz, A.J.3    Brittain, C.4    O'Daly, O.G.5
  • 31
    • 77952888499 scopus 로고    scopus 로고
    • Predicting clinical scores from magnetic resonance scans in Alzheimer's disease
    • Stonnington CM, Chu C, Kloppel S, Jack CR, Ashburner J, et al. (2010) Predicting clinical scores from magnetic resonance scans in Alzheimer's disease. Neuroimage 51: 1405-1413.
    • (2010) Neuroimage , vol.51 , pp. 1405-1413
    • Stonnington, C.M.1    Chu, C.2    Kloppel, S.3    Jack, C.R.4    Ashburner, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.