{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T05:57:23Z","timestamp":1725515843521},"reference-count":63,"publisher":"Frontiers Media SA","funder":[{"DOI":"10.13039\/501100004963","name":"Seventh Framework Programme","doi-asserted-by":"publisher","award":["604102"],"id":[{"id":"10.13039\/501100004963","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neuroinform."],"DOI":"10.3389\/fninf.2017.00016","type":"journal-article","created":{"date-parts":[[2017,2,24]],"date-time":"2017-02-24T04:04:58Z","timestamp":1487909098000},"update-policy":"http:\/\/dx.doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":28,"title":["Detection of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Longitudinal Brain MRI"],"prefix":"10.3389","volume":"11","author":[{"given":"Zhuo","family":"Sun","sequence":"first","affiliation":[]},{"given":"Martijn","family":"van de Giessen","sequence":"additional","affiliation":[]},{"given":"Boudewijn P. F.","family":"Lelieveldt","sequence":"additional","affiliation":[]},{"given":"Marius","family":"Staring","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2017,2,24]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.jalz.2014.02.001","article-title":"2014 Alzheimer's disease facts and figures","volume":"10","author":"Alzheimer's Association","year":"2014","journal-title":"Alzheimer's Dementia"},{"key":"B2","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1214\/aos\/1013699998","article-title":"The control of the false discovery rate in multiple testing under dependency","volume":"29","author":"Benjamini","year":"2001","journal-title":"Ann. Stat."},{"key":"B3","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1016\/j.jalz.2007.04.381","article-title":"Forecasting the global burden of Alzheimer's disease","volume":"3","author":"Brookmeyer","year":"2007","journal-title":"Alzheimer's Dementia"},{"key":"B4","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/S1077-3142(03)00002-X","article-title":"Iconic feature based nonrigid registration: the PASHA algorithm","volume":"89","author":"Cachier","year":"2003","journal-title":"Comput. Vis. Image Understand."},{"key":"B5","doi-asserted-by":"publisher","first-page":"2217","DOI":"10.1016\/j.neuroimage.2011.09.085","article-title":"Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data","volume":"59","author":"Cho","year":"2012","journal-title":"NeuroImage"},{"key":"B6","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1002\/hipo.20626","article-title":"Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI","volume":"19","author":"Chupin","year":"2009","journal-title":"Hippocampus"},{"key":"B7","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach. Learn."},{"key":"B8","doi-asserted-by":"publisher","first-page":"3736","DOI":"10.1016\/j.neuroimage.2011.10.080","article-title":"Simultaneous segmentation and grading of anatomical structures for patient's classification: application to Alzheimer's disease","volume":"59","author":"Coup\u00e9","year":"2012","journal-title":"NeuroImage"},{"key":"B9","doi-asserted-by":"publisher","first-page":"4758","DOI":"10.1002\/hbm.22926","article-title":"Detection of Alzheimer's disease signature in MR images seven years before conversion to dementia: Toward an early individual prognosis","volume":"36","author":"Coup\u00e9","year":"2015","journal-title":"Hum. Brain Mapp."},{"key":"B10","doi-asserted-by":"publisher","first-page":"744","DOI":"10.1177\/106002809402800612","article-title":"Tacrine: first drug approved for Alzheimer's disease","volume":"28","author":"Crismon","year":"1994","journal-title":"Ann. Pharmacother."},{"key":"B11","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1016\/j.neuroimage.2010.06.013","article-title":"Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database","volume":"56","author":"Cuingnet","year":"2011","journal-title":"NeuroImage"},{"key":"B12","doi-asserted-by":"publisher","first-page":"682","DOI":"10.1109\/TPAMI.2012.142","article-title":"Spatial and anatomical regularization of SVM: a general framework for neuroimaging data","volume":"35","author":"Cuingnet","year":"2013","journal-title":"Pattern Anal. Mach. Intell. IEEE Trans."},{"key":"B13","doi-asserted-by":"publisher","first-page":"2322.e19","DOI":"10.1016\/j.neurobiolaging.2010.05.023","article-title":"Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification","volume":"32","author":"Davatzikos","year":"2011","journal-title":"Neurobiol. Aging"},{"key":"B14","doi-asserted-by":"publisher","first-page":"1220","DOI":"10.1016\/j.neuroimage.2008.03.050","article-title":"Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI","volume":"41","author":"Davatzikos","year":"2008","journal-title":"NeuroImage"},{"key":"B15","doi-asserted-by":"publisher","first-page":"2026","DOI":"10.1093\/brain\/awp091","article-title":"Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index","volume":"132","author":"Davatzikos","year":"2009","journal-title":"Brain"},{"key":"B16","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1016\/S0197-4580(01)00230-5","article-title":"Hippocampal formation glucose metabolism and volume losses in MCI and AD","volume":"22","author":"De Santi","year":"2001","journal-title":"Neurobiol. Aging"},{"key":"B17","first-page":"5041","article-title":"Riemannian geometry. translated from the second portuguese edition by francis flaherty. mathematics: Theory & applications","volume":"5052","author":"do Carmo","year":"1992","journal-title":"Birkhauser"},{"key":"B18","doi-asserted-by":"publisher","first-page":"921","DOI":"10.3233\/JAD-142631","article-title":"Corpus callosum atrophy rate in mild cognitive impairment and prodromal Alzheimer's disease","volume":"45","author":"Elahi","year":"2015","journal-title":"J. Alzheimer's Dis."},{"key":"B19","doi-asserted-by":"publisher","first-page":"2362","DOI":"10.1016\/j.neuroimage.2011.09.012","article-title":"Beast: brain extraction based on nonlocal segmentation technique","volume":"59","author":"Eskildsen","year":"2012","journal-title":"NeuroImage"},{"key":"B20","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1016\/j.neuroimage.2012.09.058","article-title":"Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning","volume":"65","author":"Eskildsen","year":"2013","journal-title":"NeuroImage"},{"key":"B21","first-page":"1871","article-title":"Liblinear: a library for large linear classification","volume":"9","author":"Fan","year":"2008a","journal-title":"J. Mach. Learn. Res."},{"key":"B22","doi-asserted-by":"publisher","first-page":"1731","DOI":"10.1016\/j.neuroimage.2007.10.031","article-title":"Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline","volume":"39","author":"Fan","year":"2008b","journal-title":"NeuroImage"},{"key":"B23","first-page":"1","article-title":"Classification of structural images via high-dimensional image warping, robust feature extraction, and SVM","volume-title":"Medical Image Computing and Computer-Assisted Intervention MICCAI 2005, Vol. 3749 of Lecture Notes in Computer Science","author":"Fan","year":"2005"},{"key":"B24","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1109\/TMI.2006.886812","article-title":"COMPARE: Classification of morphological patterns using adaptive regional elements","volume":"26","author":"Fan","year":"2007","journal-title":"IEEE Trans. Med. Imaging"},{"key":"B25","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1016\/j.nicl.2014.02.002","article-title":"Longitudinal deformation models, spatial regularizations and learning strategies to quantify alzheimer's disease progression","volume":"4","author":"Fiot","year":"2014","journal-title":"NeuroImage"},{"key":"B26","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/978-3-642-33555-6_2","article-title":"Local vs global descriptors of hippocampus shape evolution for Alzheimer's longitudinal population analysis","volume-title":"International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data","author":"Fiot","year":"2012"},{"key":"B27","doi-asserted-by":"publisher","first-page":"S102","DOI":"10.1016\/S1053-8119(09)70884-5","article-title":"Unbiased nonlinear average age-appropriate brain templates from birth to adulthood","volume":"47","author":"Fonov","year":"2009","journal-title":"NeuroImage"},{"key":"B28","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1038\/nrneurol.2009.215","article-title":"The clinical use of structural MRI in Alzheimer disease","volume":"6","author":"Frisoni","year":"2010","journal-title":"Nat. Rev. Neurol."},{"key":"B29","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.neuroimage.2014.03.036","article-title":"Manifold population modeling as a neuro-imaging biomarker: application to ADNI and ADNI-GO","volume":"94","author":"Guerrero","year":"2014","journal-title":"NeuroImage"},{"key":"B30","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/s11263-009-0219-z","article-title":"Registration of anatomical images using paths of diffeomorphisms parameterized with stationary vector field flows","volume":"85","author":"Hernandez","year":"2009","journal-title":"Int. J. Comput. Vis."},{"key":"B31","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1002\/jmri.21049","article-title":"The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods","volume":"27","author":"Jack","year":"2008","journal-title":"J. Magn. Res. Imaging"},{"key":"B32","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/S1474-4422(12)70291-0","article-title":"Tracking pathophysiological processes in alzheimer's disease: an updated hypothetical model of dynamic biomarkers","volume":"12","author":"Jack","year":"2013","journal-title":"Lancet Neurol."},{"key":"B33","doi-asserted-by":"publisher","first-page":"S151","DOI":"10.1016\/j.neuroimage.2004.07.068","article-title":"Unbiased diffeomorphic atlas construction for computational anatomy","volume":"23","author":"Joshi","year":"2004","journal-title":"NeuroImage"},{"key":"B34","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1109\/TMI.2009.2035616","article-title":"Elastix: a toolbox for intensity-based medical image registration","volume":"29","author":"Klein","year":"2010","journal-title":"Med. Imaging IEEE Trans."},{"key":"B35","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1093\/brain\/awm319","article-title":"Automatic classification of MR scans in Alzheimer's disease","volume":"131","author":"Kl\u00f6ppel","year":"2008","journal-title":"Brain"},{"key":"B36","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1016\/j.neuroimage.2011.03.029","article-title":"Multi-template tensor-based morphometry: application to analysis of Alzheimer's disease","volume":"56","author":"Koikkalainen","year":"2011","journal-title":"NeuroImage"},{"key":"B37","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1056\/NEJMp1302513","article-title":"Regulatory innovation and drug development for early-stage Alzheimer's disease","volume":"368","author":"Kozauer","year":"2013","journal-title":"New Engl. J. Med."},{"key":"B38","doi-asserted-by":"publisher","first-page":"1666","DOI":"10.1007\/s00415-007-0610-z","article-title":"Longitudinal CSF isoprostane and MRI atrophy in the progression to AD","volume":"254","author":"Leon","year":"2007","journal-title":"J. Neurol."},{"key":"B39","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/978-3-319-02267-3_31","article-title":"Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images","volume-title":"Machine Learning in Medical Imaging","author":"Liu","year":"2013"},{"key":"B40","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1007\/11566489_51","article-title":"Unbiased atlas formation via large deformations metric mapping","volume-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2005","author":"Lorenzen","year":"2005"},{"key":"B41","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.neuroimage.2015.04.051","article-title":"Regional flux analysis for discovering and quantifying anatomical changes: an application to the brain morphometry in Alzheimer's disease","volume":"115","author":"Lorenzi","year":"2015a","journal-title":"Neuroimage"},{"key":"B42","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s11263-012-0598-4","article-title":"Geodesics, parallel transport & one-parameter subgroups for diffeomorphic image registration","volume":"105","author":"Lorenzi","year":"2013","journal-title":"Int. J. Comput. Vis."},{"key":"B43","first-page":"145","article-title":"Disentangling the normal aging from the pathological Alzheimer's disease progression on cross-sectional structural MR images","volume-title":"MICCAI Workshop on Novel Imaging Biomarkers for Alzheimer's Disease and Related Disorders (NIBAD'12)","author":"Lorenzi","year":"2012"},{"key":"B44","doi-asserted-by":"publisher","first-page":"S42","DOI":"10.1016\/j.neurobiolaging.2014.07.046","article-title":"Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images","volume":"36","author":"Lorenzi","year":"2015b","journal-title":"Neurobiol. Aging"},{"key":"B45","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1001\/jama.2009.1064","article-title":"CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment","volume":"302","author":"Mattsson","year":"2009","journal-title":"JAMA"},{"key":"B46","doi-asserted-by":"publisher","first-page":"1415","DOI":"10.1016\/j.neuroimage.2008.10.031","article-title":"Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI","volume":"44","author":"Misra","year":"2009","journal-title":"NeuroImage"},{"key":"B47","doi-asserted-by":"publisher","first-page":"1386","DOI":"10.1136\/jnnp.2007.142679","article-title":"Temporal trends in the long term risk of progression of mild cognitive impairment: a pooled analysis","volume":"79","author":"Mitchell","year":"2008","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"B48","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/11566489_52","article-title":"Least biased target selection in probabilistic atlas construction","volume-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2005","author":"Park","year":"2005"},{"key":"B49","doi-asserted-by":"publisher","first-page":"2036","DOI":"10.1093\/brain\/awp105","article-title":"Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve","volume":"132","author":"Querbes","year":"2009","journal-title":"Brain"},{"key":"B50","doi-asserted-by":"publisher","first-page":"1525","DOI":"10.1056\/NEJMoa061240","article-title":"Effectiveness of atypical antipsychotic drugs in patients with Alzheimer's disease","volume":"355","author":"Schneider","year":"2006","journal-title":"New Engl. J. Med."},{"key":"B51","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1007\/BFb0020217","article-title":"Kernel principal component analysis","volume-title":"Artificial Neural Networks ICANN'97","author":"Sch\u00f6lkopf","year":"1997"},{"key":"B52","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.media.2015.04.012","article-title":"Splines for diffeomorphisms","volume":"25","author":"Singh","year":"2015","journal-title":"Med. Image Anal."},{"key":"B53","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1109\/42.668698","article-title":"A nonparametric method for automatic correction of intensity nonuniformity in MRI data","volume":"17","author":"Sled","year":"1998","journal-title":"Med. Imaging IEEE Trans."},{"key":"B54","doi-asserted-by":"publisher","first-page":"1276","DOI":"10.1109\/ISBI.2015.7164107","article-title":"Fast linear geodesic shape regression using coupled logdemons registration","author":"Sun","year":"2015","journal-title":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)"},{"key":"B55","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/S1361-8415(98)80022-4","article-title":"Image matching as a diffusion process: an analogy with Maxwell's demons","volume":"2","author":"Thirion","year":"1998","journal-title":"Med. Image Anal."},{"key":"B56","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in spm using a macroscopic anatomical parcellation of the mni mri single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"Neuroimage"},{"key":"B57","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"B58","doi-asserted-by":"publisher","first-page":"S61","DOI":"10.1016\/j.neuroimage.2008.10.040","article-title":"Diffeomorphic demons: efficient non-parametric image registration","volume":"45","author":"Vercauteren","year":"2009","journal-title":"NeuroImage"},{"key":"B59","doi-asserted-by":"publisher","first-page":"1613","DOI":"10.1016\/j.neurobiolaging.2005.09.035","article-title":"Regionally specific atrophy of the corpus callosum in AD, MCI and cognitive complaints","volume":"27","author":"Wang","year":"2006","journal-title":"Neurobiol. Aging"},{"key":"B60","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1016\/j.neuroimage.2011.06.065","article-title":"AddNeuroMed and ADNI: similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America","volume":"58","author":"Westman","year":"2011","journal-title":"NeuroImage"},{"key":"B61","doi-asserted-by":"publisher","first-page":"e25446","DOI":"10.1371\/journal.pone.0025446","article-title":"Multi-method analysis of MRI images in early diagnostics of Alzheimer's disease","volume":"6","author":"Wolz","year":"2011","journal-title":"PLoS ONE"},{"key":"B62","doi-asserted-by":"publisher","first-page":"e33182","DOI":"10.1371\/journal.pone.0033182","article-title":"Predicting future clinical changes of MCI patients using longitudinal and multimodal biomarkers","volume":"7","author":"Zhang","year":"2012","journal-title":"PLoS ONE"},{"key":"B63","doi-asserted-by":"publisher","first-page":"e66367","DOI":"10.1371\/journal.pone.0066367","article-title":"MRI markers for mild cognitive impairment: comparisons between white matter integrity and gray matter volume measurements","volume":"8","author":"Zhang","year":"2013","journal-title":"PLoS ONE"}],"container-title":["Frontiers in Neuroinformatics"],"original-title":[],"link":[{"URL":"http:\/\/journal.frontiersin.org\/article\/10.3389\/fninf.2017.00016\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,24]],"date-time":"2022-07-24T18:03:33Z","timestamp":1658685813000},"score":1,"resource":{"primary":{"URL":"http:\/\/journal.frontiersin.org\/article\/10.3389\/fninf.2017.00016\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,24]]},"references-count":63,"URL":"https:\/\/doi.org\/10.3389\/fninf.2017.00016","relation":{},"ISSN":["1662-5196"],"issn-type":[{"value":"1662-5196","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2,24]]}}}