يعرض 1 - 10 نتائج من 36 نتيجة بحث عن '"Franco, Diana Lorena"', وقت الاستعلام: 1.56s تنقيح النتائج
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    دورية أكاديمية
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    دورية أكاديمية

    المساهمون: Ewer, John, Agencia Nacional de Promoción Científica y Tecnológica, Universidad Nacional del Comahue, Argentine Research Council for Science and Technology

    المصدر: PLOS Genetics ; volume 18, issue 12, page e1010258 ; ISSN 1553-7404

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    دورية أكاديمية

    المساهمون: Alzheimer's Disease Neuroimaging Initiative

    المصدر: 23528729 ; Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring

    مصطلحات موضوعية: Human medicine, Computer. Automation

    العلاقة: info:eu-repo/semantics/altIdentifier/isi/000695587700001

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    مؤتمر

    المساهمون: Alzheimer's Dis Neuroimaging Initiative

    المصدر: 19th International Symposium on Medical Information Processing and, Analysis (SIPAIM), NOV 15-17, 2023, Mexico City, Mexico

    مصطلحات موضوعية: Physics

    العلاقة: info:eu-repo/semantics/altIdentifier/isi/001156693600020

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    مؤتمر

    المصدر: 1557-170X ; IEEE Engineering in medicine and biology society conference proceedings

    مصطلحات موضوعية: Physics, Computer. Automation

    العلاقة: info:eu-repo/semantics/altIdentifier/isi/001133788304161

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    رسالة جامعية

    المؤلفون: Giraldo Franco, Diana Lorena

    المساهمون: Romero Castro, Eduardo, Sijbers, Jan, Jeurissen, Ben, Cim@Lab

    وصف الملف: xvii, 81 páginas; application/pdf

    العلاقة: 2020 Alzheimer’s disease facts and figures. Alzheimer’s & Dementia, 16(3):391–460, 2020.; Julio Acosta-Cabronero and Peter J. Nestor. Diffusion tensor imaging in Alzheimer’s disease: insights into the limbic-diencephalic network and methodological considera- tions. Frontiers in Aging Neuroscience, 6:266, 2014.; Julio Acosta-Cabronero, Guy B. Williams, George Pengas, and Peter J. Nestor. Ab- solute diffusivities define the landscape of white matter degeneration in alzheimer’s disease. Brain, 133(2):529–539, 2010.; Paul S. Aisen, Jeffrey Cummings, Clifford R. Jack, John C. Morris, Reisa Sper- ling, Lutz Fr ̈olich, Roy W. Jones, Sherie A. Dowsett, Brandy R. Matthews, Joel Raskin, Philip Scheltens, and Bruno Dubois. On the path to 2025: understanding the Alzheimer’s disease continuum. Alzheimer's Research & Therapy, 9(1), August 2017.; Marilyn S. Albert, Steven T. DeKosky, Dennis Dickson, Bruno Dubois, Howard H. Feldman, Nick C. Fox, Anthony Gamst, David M. Holtzman, William J. Jagust, Ronald C. Petersen, Peter J. Snyder, Maria C. Carrillo, Bill Thies, and Creighton H. Phelps. The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recom- mendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia, 7(3):270 – 279, 2011.; American Psychiatric Association. Diagnostic and statistical manual of mental dis- orders: DSM-5. American Psychiatric Association, Washington, DC, 5th ed. edition, 2013.; I.K. Amlien and A.M. Fjell. Diffusion tensor imaging of white matter degeneration in Alzheimer’s disease and mild cognitive impairment. Neuroscience, 276(Supplement C):206 – 215, 2014. Secrets of the CNS White Matter.; Babak A. Ardekani, Antonio Convit, and Alvin H. Bachman. Analysis of the miriad data shows sex differences in hippocampal atrophy progression. Journal of Alzheimer’s Disease, 50(3):847–857, Feb 2016.; John Ashburner and Karl J. Friston. Voxel-based morphometry—The methods. Neu- roImage, 11(6):805 – 821, 2000.; Ravi Bansal, Lawrence H. Staib, Andrew F. Laine, Xuejun Hao, Dongrong Xu, Jun Liu, Myrna Weissman, and Bradley S. Peterson. Anatomical brain images alone can accurately diagnose chronic neuropsychiatric illnesses. PLoS ONE, 7(12):1–21, 12 2012.; Peter J. Basser and Carlo Pierpaoli. Microstructural and physiological features of tis- sues elucidated by quantitative-diffusion-tensor MRI. Journal of Magnetic Resonance, Series B, 111(3):209–219, 1996.; Iman Beheshti and Hasan Demirel. Feature-ranking-based Alzheimer’s disease classi- fication from structural MRI. Magnetic Resonance Imaging, 34(3):252 – 263, 2016.; H. Braak and E. Braak. Neuropathological stageing of Alzheimer-related changes. Acta Neuropathologica, 82(4):239–259, September 1991.; Esther E. Bron, Marion Smits, Wiesje M. van der Flier, Hugo Vrenken, Frederik Barkhof, Philip Scheltens, Janne M. Papma, Rebecca M.E. Steketee, Carolina M ́endez Orellana, Rozanna Meijboom, Madalena Pinto, Joana R. Meireles, Carolina Gar- rett, Ant ́onio J. Bastos-Leite, Ahmed Abdulkadir, Olaf Ronneberger, Nicola Amoroso, ́ Roberto Bellotti, David C ́ardenas-Pe ̃ na, Andr ́es M. Alvarez Meza, Chester V. Dolph, Khan M. Iftekharuddin, Simon F. Eskildsen, Pierrick Coup ́e, Vladimir S. Fonov, Katja Franke, Christian Gaser, Christian Ledig, Ricardo Guerrero, Tong Tong, Katherine R. Gray, Elaheh Moradi, Jussi Tohka, Alexandre Routier, Stanley Durrleman, Alessia Sarica, Giuseppe Di Fatta, Francesco Sensi, Andrea Chincarini, Garry M. Smith, Zhivko V. Stoyanov, Lauge Sørensen, Mads Nielsen, Sabina Tangaro, Paolo Inglese, Christian Wachinger, Martin Reuter, John C. van Swieten, Wiro J. Niessen, and Stefan Klein. Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage, 111:562 – 579, 2015.; Marco Canevelli, Ilaria Bacigalupo, Giuseppe Gervasi, Eleonora Lacorte, Marco Mas- sari, Flavia Mayer, Nicola Vanacore, and Matteo Cesari. Methodological issues in the clinical validation of biomarkers for Alzheimer’s disease: The paradigmatic example of CSF. Frontiers in Aging Neuroscience,, 11:282, 2019.; Francesca Caso, Federica Agosta, and Massimo Filippi. Insights into white matter damage in Alzheimer's disease: From postmortem to in vivo diffusion tensor MRI studies. Neurodegenerative Diseases, 16(1-2):26–33, dec 2015.; Marie Chupin, Emilie G ́erardin, R ́emi Cuingnet, Claire Boutet, Louis Lemieux, St ́ephane Leh ́ericy, Habib Benali, Line Garnero, and Olivier Colliot. Fully automatic hippocampus segmentation and classification in Alzheimer’s disease and mild cognitive impairment applied on data from ADNI. Hippocampus, 19(6):579–587, 2009.; Simon Cloutier, Howard Chertkow, Marie-Jeanne Kergoat, Serge Gauthier, and Sylvie Belleville. Patterns of cognitive decline prior to dementia in persons with mild cognitive impairment. Journal of Alzheimer’s Disease, 47(4):901–913, August 2015.; Lyndsey E Collins-Praino, Yitshak I Francis, Erica Y Griffith, Anne F Wiegman, Jonathan Urbach, Arlene Lawton, Lawrence S Honig, Etty Cortes, Jean Paul G Von- sattel, Peter D Canoll, James E Goldman, and Adam M Brickman. Soluble amyloid beta levels are elevated in the white matter of Alzheimer’s patients, independent of cortical plaque severity. Acta Neuropathologica Communications, 2(1), August 2014.; Olivier Colliot, Ga ̈el Ch ́etelat, Marie Chupin, B ́eatrice Desgranges, Benoˆıt Magnin, Habib Benali, Bruno Dubois, Line Garnero, Francis Eustache, and St ́ephane Leh ́ericy. Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus. Radiology, 248, 07 2008.; R ́emi Cuingnet, Emilie Gerardin, J ́erˆome Tessieras, Guillaume Auzias, St ́ephane Leh ́ericy, Marie-Odile Habert, Marie Chupin, Habib Benali, and Olivier Colliot. Au- tomatic classification of patients with Alzheimer’s disease from structural MRI: A comparison of ten methods using the adni database. NeuroImage, 56(2):766 – 781, 2011. Multivariate Decoding and Brain Reading.; Christos Davatzikos, Priyanka Bhatt, Leslie M. Shaw, Kayhan N. Batmanghelich, and John Q. Trojanowski. Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification. Neurobiology of Aging, 32(12):2322.e19 – 2322.e27, 2011.; Christos Davatzikos, Yong Fan, Xiaoying Wu, Dinggang Shen, and Susan M. Resnick. Detection of prodromal Alzheimer’s disease via pattern classification of magnetic res- onance imaging. Neurobiology of Aging, 29(4):514 – 523, 2008.; M.S. de Oliveira, M.L.F. Balthazar, A. D’Abreu, C.L. Yasuda, B.P. Damasceno, F. Cendes, and G. Castellano. MR imaging texture analysis of the corpus callosum and thalamus in amnestic mild cognitive impairment and mild Alzheimer disease. American Journal of Neuroradiology, 32(1):60–66, 2011.; Michaela Defrancesco, Karl Egger, Josef Marksteiner, Regina Esterhammer, Hartmann Hinterhuber, Eberhard A. Deisenhammer, and Michael Schocke. Changes in white mat- ter integrity before conversion from mild cognitive impairment to alzheimer?s disease. PLoS ONE, 9(8):1–10, 08 2014.; Flavio Dell’Acqua and J.-Donald Tournier. Modelling white matter with spherical deconvolution: How and why? NMR in Biomedicine, 32(4):e3945, 2019. e3945 NBM- 17-0226.R1.; R. S. Desikan, H. J. Cabral, C. P. Hess, W. P. Dillon, C. M. Glastonbury, M. W. Weiner, N. J. Schmansky, D. N. Greve, D. H. Salat, and R. L. et al. Buckner. Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer’s disease. Brain, 132(8):2048–2057, 2009.; B.C. Dickerson, E. Fenstermacher, D.H. Salat, D.A. Wolk, R.P. Maguire, R. Desikan, J. Pacheco, B.T. Quinn, A. Van der Kouwe, D.N. Greve, D. Blacker, M.S. Albert, R.J. Killiany, and B. Fischl. Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths. Neu- roImage, 39(1):10 – 18, 2008.; B.C. Dickerson, I. Goncharova, M.P. Sullivan, C. Forchetti, R.S. Wilson, D.A. Bennett, L.A. Beckett, and L. deToledo Morrell. MRI-derived entorhinal and hippocampal at- rophy in incipient and very mild Alzheimer’s disease. Neurobiology of Aging, 22(5):747 – 754, 2001.; Aoyan Dong, Jon B. Toledo, Nicolas Honnorat, Jimit Doshi, Erdem Varol, Aristeidis Sotiras, David Wolk, John Q. Trojanowski, and Christos Davatzikos and. Heterogene- ity of neuroanatomical patterns in prodromal Alzheimer’s disease: links to cognition, progression and biomarkers. Brain, page aww319, dec 2017.; Gwena ̈elle Douaud, Saˆad Jbabdi, Timothy E.J. Behrens, Ricarda A. Menke, Achim Gass, Andreas U. Monsch, Anil Rao, Brandon Whitcher, Gordon Kindlmann, Paul M. Matthews, and Stephen Smith. DTI measures in crossing-fibre areas: Increased dif- fusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer’s disease. NeuroImage, 55(3):880 – 890, 2011.; Bruno Dubois, Howard H Feldman, Claudia Jacova, Jeffrey L Cummings, Steven T DeKosky, Pascale Barberger-Gateau, Andr ́e Delacourte, Giovanni Frisoni, Nick C Fox, Douglas Galasko, Serge Gauthier, Harald Hampel, Gregory A Jicha, Kenichi Meguro, John O’Brien, Florence Pasquier, Philippe Robert, Martin Rossor, Steven Salloway, Marie Sarazin, Leonardo C de Souza, Yaakov Stern, Pieter J Visser, and Philip Schel- tens. Revising the definition of Alzheimer’s disease: a new lexicon. The Lancet Neu- rology, 9(11):1118 – 1127, 2010.; Bruno Dubois, Howard H Feldman, Claudia Jacova, Steven T DeKosky, Pascale Barberger-Gateau, Jeffrey Cummings, Andr ́e Delacourte, Douglas Galasko, Serge Gau- thier, Gregory Jicha, Kenichi Meguro, John O’Brien, Florence Pasquier, Philippe Robert, Martin Rossor, Steven Salloway, Yaakov Stern, Pieter J Visser, and Philip Scheltens. Research criteria for the diagnosis of Alzheimer’s disease: revising the NINCDS-ADRDA criteria. The Lancet Neurology, 6(8):734 – 746, 2007.; Bruno Dubois, Howard H Feldman, Claudia Jacova, Harald Hampel, Jos ́e Luis Molin- uevo, Kaj Blennow, Steven T DeKosky, Serge Gauthier, Dennis Selkoe, Randall Bate- man, Stefano Cappa, Sebastian Crutch, Sebastiaan Engelborghs, Giovanni B Frisoni, Nick C Fox, Douglas Galasko, Marie-Odile Habert, Gregory A Jicha, Agneta Nord- berg, Florence Pasquier, Gil Rabinovici, Philippe Robert, Christopher Rowe, Stephen Salloway, Marie Sarazin, St ́ephane Epelbaum, Leonardo C de Souza, Bruno Vellas, Pieter J Visser, Lon Schneider, Yaakov Stern, Philip Scheltens, and Jeffrey L Cum- mings. Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. The Lancet Neurology, 13(6):614 – 629, 2014.; Bruno Dubois, Harald Hampel, Howard H. Feldman, Philip Scheltens, Paul Aisen, Sandrine Andrieu, Hovagim Bakardjian, Habib Benali, Lars Bertram, Kaj Blennow, Karl Broich, Enrica Cavedo, Sebastian Crutch, Jean-Fran ̧cois Dartigues, Charles Duy- ckaerts, St ́ephane Epelbaum, Giovanni B. Frisoni, Serge Gauthier, Remy Genthon, Alida A. Gouw, Marie-Odile Habert, David M. Holtzman, Miia Kivipelto, Simone Lista, Jos ́e-Luis Molinuevo, Sid E. O’Bryant, Gil D. Rabinovici, Christopher Rowe, Stephen Salloway, Lon S. Schneider, Reisa Sperling, Marc Teichmann, Maria C. Car- rillo, Jeffrey Cummings, and Cliff R. Jack. Preclinical Alzheimer’s disease: Definition, natural history, and diagnostic criteria. Alzheimer’s & Dementia, 12(3):292–323, mar 2016.; Emily C. Edmonds, Lisa Delano-Wood, Lindsay R. Clark, Amy J. Jak, Daniel A. Nation, Carrie R. McDonald, David J. Libon, Rhoda Au, Douglas Galasko, David P. Salmon, and Mark W. Bondi. Susceptibility of the conventional criteria for mild cogni- tive impairment to false-positive diagnostic errors. Alzheimer’s & Dementia, 11(4):415 – 424, 2015.; Emily C. Edmonds, Joel Eppig, Mark W. Bondi, Kelly M. Leyden, Bailey Goodwin, Lisa Delano-Wood, and Carrie R. McDonald. Heterogeneous cortical atrophy patterns in MCI not captured by conventional diagnostic criteria. Neurology, 87(20):2108–2116, 2016.; Yong Fan, Susan M. Resnick, Xiaoying Wu, and Christos Davatzikos. Structural and functional biomarkers of prodromal Alzheimer’s disease: A high-dimensional pattern classification study. NeuroImage, 41(2):277 – 285, 2008.; Marshal F. Folstein, Susan E. Folstein, and Paul R. McHugh. “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 1975.; Mark A. Fraser, Marnie E. Shaw, and Nicolas Cherbuin. A systematic review and meta- analysis of longitudinal hippocampal atrophy in healthy human ageing. NeuroImage, 112(Supplement C):364 – 374, 2015.; P. A. Freeborough and N. C. Fox. MR image texture analysis applied to the diag- nosis and tracking of Alzheimer’s disease. IEEE Transactions on Medical Imaging, 17(3):475–478, June 1998.; Giovanni B. Frisoni, Marina Boccardi, Frederik Barkhof, Kaj Blennow, Stefano Cappa, Konstantinos Chiotis, Jean-Francois D ́emonet, Valentina Garibotto, Panteleimon Gi- annakopoulos, Anton Gietl, Oskar Hansson, Karl Herholz, Clifford R. Jr Jack, Flavio Nobili, Agneta Nordberg, Heather M. Snyder, Mara Ten Kate, Andrea Varrone, Emil- iano Albanese, Stefanie Becker, Patrick Bossuyt, Maria C. Carrillo, Chiara Cerami, Bruno Dubois, Valentina Gallo, Ezio Giacobini, Gabriel Gold, Samia Hurst, Anders L ̈onneborg, Karl-Olof Lovblad, Niklas Mattsson, Jos ́e-Luis Molinuevo, Andreas U. Monsch, Urs Mosimann, Alessandro Padovani, Agnese Picco, Corinna Porteri, Os- man Ratib, Laure Saint-Aubert, Charles Scerri, Philip Scheltens, Jonathan M. Schott, Ida Sonni, Stefan Teipel, Paolo Vineis, Pieter Jelle Visser, Yutaka Yasui, and Bengt Winblad. Strategic roadmap for an early diagnosis of Alzheimer’s disease based on biomarkers. The Lancet Neurology, 16(8):661–676, 07 2017.; Giovanni B. Frisoni, Nick C. Fox, Clifford R. Jack, Philip Scheltens, and Paul M. Thompson. The clinical use of structural MRI in Alzheimer disease. Nature Reviews Neurology, 6(2):67–77, 2010.; Serge Gauthier, Marilyn Albert, Nick Fox, Michel Goedert, Miia Kivipelto, Jorge Mestre-Ferrandiz, and Lefkos T. Middleton. Why has therapy development for de- mentia failed in the last two decades? Alzheimer’s & Dementia, 12(1):60–64, 2016.; Emilie Gerardin, Ga ̈el Ch ́etelat, Marie Chupin, R ́emi Cuingnet, B ́eatrice Desgranges, Ho-Sung Kim, Marc Niethammer, Bruno Dubois, St ́ephane Leh ́ericy, Line Garnero, Francis Eustache, and Olivier Colliot. Multidimensional classification of hippocampal shape features discriminates Alzheimer’s disease and mild cognitive impairment from normal aging. NeuroImage, 47(4):1476 – 1486, 2009.; Diana Giraldo, Hanne Struyfs, David Raffelt, Paul Parizel, Sebastiaan Engelborghs, Eduardo Romero, Jan Sijbers, and Ben Jeurissen. Fixel-based analysis of Alzheimer’s disease using multi-tissue constrained spherical deconvolution of multi-shell diffusion MRI. In International Society of Magnetic Resonance in Medicine, Honolulu, HI, USA, 2017.; Diana L. Giraldo, Juan D. Garc ́ıa-Arteaga, Sim ́on C ́ardenas-Robledo, and Eduardo Romero. Characterization of brain anatomical patterns by comparing region inten- sity distributions: Applications to the description of Alzheimer’s disease. Brain and Behavior, 8(4):e00942, 2018.; Diana L. Giraldo, Jan Sijbers, and Eduardo Romero. Quantifying cognition and behav- ior in normal aging, mild cognitive impairment, and Alzheimer’s disease. In 13th Inter- national Conference on Medical Information Processing and Analysis, volume 10572, pages 125 – 134, 2017.; Diana L. Giraldo, Jan Sijbers, Eduardo Romero, and for the Alzheimer’s Disease Neuroimaging Initiative. Quantification of cognitive impairment to characterize het- erogeneity of patients at risk of developing Alzheimer’s disease dementia. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 13(1):e12237, 2021.; Brian T. Gold, Nathan F. Johnson, David K. Powell, and Charles D. Smith. White matter integrity and vulnerability to Alzheimer’s disease: Preliminary findings and future directions. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, 1822(3):416 – 422, 2012. Imaging Brain Aging and Neurodegenerative Disease.; Teresa Gomez-Isla and Matthew P. Frosch. The challenge of defining Alzheimer disease based on biomarkers in the absence of symptoms. JAMA Neurology, 76(10):1143–1144, 10 2019.; H. Goodglass and E. Kaplan. The Assessment of Aphasia and Related Disorders. Number v. 2 in The Assessment of Aphasia and Related Disorders. Lea & Febiger, 1983.; Joseph H. Grochowalski, Ying Liu, and Karen L. Siedlecki. Examining the reliability of ADAS-Cog change scores. Aging, Neuropsychology, and Cognition, 23(5):513–529, 2016. PMID: 26708116.; Murray Grossman, Corey McMillan, Peachie Moore, Lijun Ding, Guila Glosser, Melissa Work, and James Gee. What’s in a name: voxel-based morphometric analyses of MRI and naming difficulty in Alzheimer’s disease, frontotemporal dementia and corticobasal degeneration. Brain, 127(3):628–649, 2004.; Robert M. Haralick, K. Shanmugam, and Its'Hak Dinstein. Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, SMC-3(6):610– 621, November 1973.; John A. Hardy and Gerald A. Higgins. Alzheimer’s disease: The amyloid cascade hypothesis. Science, 256(5054):184–185, 1992.; Rolf A. Heckemann, Shiva Keihaninejad, Paul Aljabar, Katherine R. Gray, Casper Nielsen, Daniel Rueckert, Joseph V. Hajnal, and Alexander Hammers. Automatic morphometry in Alzheimer’s disease and mild cognitive impairment. NeuroImage, 56(4):2024 – 2037, 2011.; Judith Henf, Michel J. Grothe, Katharina Brueggen, Stefan Teipel, and Martin Dyrba. Mean diffusivity in cortical gray matter in Alzheimer’s disease: The importance of partial volume correction. NeuroImage: Clinical, 17(Supplement C):579 – 586, 2018.; Karl Herrup. The case for rejecting the amyloid cascade hypothesis. Nature Neuro- science, 18(6):794–799, May 2015.; Bradley T. Hyman, Creighton H. Phelps, Thomas G. Beach, Eileen H. Bigio, Nigel J. Cairns, Maria C. Carrillo, Dennis W. Dickson, Charles Duyckaerts, Matthew P. Frosch, Eliezer Masliah, Suzanne S. Mirra, Peter T. Nelson, Julie A. Schneider, Dietmar Rudolf Thal, Bill Thies, John Q. Trojanowski, Harry V. Vinters, and Thomas J. Montine. National Institute on Aging–Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease. Alzheimer’s & Dementia, 8(1):1 – 13, 2012.; Jeremy D Isaacs and Marianne Boenink. Biomarkers for dementia: too soon for routine clinical use. The Lancet Neurology, 19(11):884–885, November 2020.; C. R. Jack, R. C. Petersen, P. C. O’Brien, and E. G. Tangalos. MR-based hippocampal volumetry in the diagnosis of Alzheimer’s disease. Neurology, 42(1):183–183, 1992.; Clifford R. Jack, David A. Bennett, Kaj Blennow, Maria C. Carrillo, Billy Dunn, Samantha Budd Haeberlein, David M. Holtzman, William Jagust, Frank Jessen, Ja- son Karlawish, Enchi Liu, Jose Luis Molinuevo, Thomas Montine, Creighton Phelps, Katherine P. Rankin, Christopher C. Rowe, Philip Scheltens, Eric Siemers, Heather M. Snyder, Reisa Sperling, Cerise Elliott, Eliezer Masliah, Laurie Ryan, and Nina Sil- verberg. NIA-AA research framework: Toward a biological definition of Alzheimer’s disease. Alzheimer’s & Dementia, 14(4):535–562, apr 2018.; Clifford R Jack, David S Knopman, William J Jagust, Ronald C Petersen, Michael W Weiner, Paul S Aisen, Leslie M Shaw, Prashanthi Vemuri, Heather J Wiste, Stephen D Weigand, Timothy G Lesnick, Vernon S Pankratz, Michael C Donohue, and John Q Trojanowski. Tracking pathophysiological processes in Alzheimer’s disease: an updated hypothetical model of dynamic biomarkers. The Lancet Neurology, 12(2):207–216, feb 2013.; Jens H. Jensen, Joseph A. Helpern, Anita Ramani, Hanzhang Lu, and Kyle Kaczynski. Diffusional kurtosis imaging: The quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magnetic Resonance in Medicine, 53(6):1432– 1440, 2005.; Ben Jeurissen, Alexander Leemans, Jacques-Donald Tournier, Derek K. Jones, and Jan Sijbers. Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging. Human Brain Mapping, 34(11):2747–2766, 2013.; David T. Jones, David S. Knopman, Jeffrey L. Gunter, Jonathan Graff-Radford, Prashanthi Vemuri, Bradley F. Boeve, Ronald C. Petersen, Michael W. Weiner, Clif- ford R. Jr. Jack, and on behalf of the Alzheimer’s Disease Neuroimaging Initiative. Cascading network failure across the Alzheimer’s disease spectrum. Brain, 139(2):547– 562, 11 2015.; K. Kantarci, R. C. Petersen, B. F. Boeve, D. S. Knopman, S. D. Weigand, P. C. O’Brien, M. M. Shiung, G. E. Smith, R. J. Ivnik, and E. G. et al. Tangalos. Dwi predicts future progression to Alzheimer disease in amnestic mild cognitive impairment. Neurology, 64(5):902–904, 2005.; Kasper Planeta Kepp. Ten challenges of the amyloid hypothesis of Alzheimer’s disease. Journal of Alzheimer’s Disease, 55(2):447–457, November 2016.; Stefan Kl ̈oppel, Cynthia M. Stonnington, Carlton Chu, Bogdan Draganski, Rachael I. Scahill, Jonathan D. Rohrer, Nick C. Fox, Clifford R. Jack, John Ashburner, and Richard S. J. Frackowiak. Automatic classification of MR scans in Alzheimer’s disease. Brain, 131(3):681–689, 2008.; Jacqueline K. Kueper, Mark Speechley, and Manuel Montero-Odasso. The Alzheimer’s disease assessment scale–cognitive subscale (ADAS-Cog): Modifications and respon- siveness in pre-dementia populations. A narrative review. Journal of Alzheimer’s Dis- ease, 63(2):423–444, April 2018.; Florian Kurth, Christian Gaser, and Eileen Luders. A 12-step user guide for analyzing voxel-wise gray matter asymmetries in statistical parametric mapping (SPM). Nature Protocols, 10(2):293–304, January 2015.; Denis Le Bihan. Apparent diffusion coefficient and beyond: What diffusion mr imaging can tell us about tissue structure. Radiology, 268(2):318–322, 2013. PMID: 23882093.; S.-H. Lee, J.-P. Coutu, P. Wilkens, A. Yendiki, H.D. Rosas, and D.H. Salat. Tract- based analysis of white matter degeneration in Alzheimer’s disease. Neuroscience, 301:79 – 89, 2015.; Fangda Leng and Paul Edison. Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here? Nature Reviews Neurology, 17(3):157– 172, December 2020.; Jason P. Lerch, Jens Pruessner, Alex P. Zijdenbos, D. Louis Collins, Stefan J. Teipel, Harald Hampel, and Alan C. Evans. Automated cortical thickness measurements from MRI can accurately separate Alzheimer’s patients from normal elderly controls. Neurobiology of Aging, 29(1):23 – 30, 2008.; Sung-Han Lin, Wen-Chuin Hsu, Shu-Hang Ng, Jur-Shan Cheng, Oleksandr Khegai, Chin-Chang Huang, Yao-Liang Chen, Yi-Chun Chen, and Jiun-Jie Wang. Increased water diffusion in the parcellated cortical regions from the patients with amnestic mild cognitive impairment and alzheimer’s disease. Frontiers in Aging Neuroscience, 8:325, 2017.; Manhua Liu, Fan Li, Hao Yan, Kundong Wang, Yixin Ma, Li Shen, and Mingqing Xu. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in alzheimer’s disease. NeuroImage, 208:116459, 2020.; Benoˆıt Magnin, Lilia Mesrob, Serge Kinkingn ́ehun, M ́elanie P ́el ́egrini-Issac, Olivier Colliot, Marie Sarazin, Bruno Dubois, St ́ephane Leh ́ericy, and Habib Benali. Support vector machine-based classification of Alzheimer’s disease from whole-brain anatomical MRI. Neuroradiology, 51, 02 2009.; Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Arman Eshaghi, Tina Toni, Marcin Salaterski, Veronika Lunina, Manon Ansart, Stanley Durrleman, Pascal Lu, Samuel Iddi, Dan Li, Wesley K. Thompson, Michael C. Donohue, Aviv Nahon, Yarden Levy, Dan Halbersberg, Mariya Cohen, Huiling Liao, Tengfei Li, Kaixian Yu, Hongtu Zhu, Jose G. Tamez-Pena, Aya Ismail, Timothy Wood, Hector Corrada Bravo, Minh Nguyen, Nanbo Sun, Jiashi Feng, B. T. Thomas Yeo, Gang Chen, Ke Qi, Shiyang Chen, Deqiang Qiu, Ionut Buciuman, Alex Kelner, Raluca Pop, Denisa Rimocea, Mostafa M. Ghazi, Mads Nielsen, Sebastien Ourselin, Lauge Sorensen, Vikram Venka- traghavan, Keli Liu, Christina Rabe, Paul Manser, Steven M. Hill, James Howlett, Zhiyue Huang, Steven Kiddle, Sach Mukherjee, Anais Rouanet, Bernd Taschler, Brian D. M. Tom, Simon R. White, Noel Faux, Suman Sedai, Javier de Velasco Oriol, Edgar E. V. Clemente, Karol Estrada, Leon Aksman, Andre Altmann, Cynthia M. Ston- nington, Yalin Wang, Jianfeng Wu, Vivek Devadas, Clementine Fourrier, Lars Lau Raket, Aristeidis Sotiras, Guray Erus, Jimit Doshi, Christos Davatzikos, Jacob Vogel, Andrew Doyle, Angela Tam, Alex Diaz-Papkovich, Emmanuel Jammeh, Igor Koval, Paul Moore, Terry J. Lyons, John Gallacher, Jussi Tohka, Robert Ciszek, Bruno Jedy- nak, Kruti Pandya, Murat Bilgel, William Engels, Joseph Cole, Polina Golland, Stefan Klein, and Daniel C. Alexander. The Alzheimer’s disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up, 2020.; Chantel D. Mayo, Erin L. Mazerolle, Lesley Ritchie, John D. Fisk, and Jodie R. Gawry- luk. Longitudinal changes in microstructural white matter metrics in Alzheimer’s dis- ease. NeuroImage: Clinical, 13(Supplement C):330 – 338, 2017.; Linda K. McEvoy, Christine Fennema-Notestine, J. Cooper Roddey, Jr Donald J. Ha- gler, Dominic Holland, David S. Karow, Christopher J. Pung, James B. Brewer, and Anders M. Dale. Alzheimer disease: Quantitative structural neuroimaging for detec- tion and prediction of clinical and structural changes in mild cognitive impairment. Radiology, 251(1):195–205, 2009. PMID: 19201945.; Guy McKhann, David Drachman, Marshall Folstein, Robert Katzman, Donald Price, and Emanuel M. Stadlan. 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. Neurology, 34(7):939, 1984.; Dev Mehta, Robert Jackson, Gaurav Paul, Jiong Shi, and Marwan Sabbagh. Why do trials for Alzheimer’s disease drugs keep failing? a discontinued drug perspective for 2010-2015. Expert Opinion on Investigational Drugs, 26(6):735–739, 2017. PMID: 28460541.; Chandan Misra, Yong Fan, and Christos Davatzikos. Baseline and longitudinal pat- terns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI. NeuroImage, 44(4):1415 – 1422, 2009.; Remika Mito, David Raffelt, Thijs Dhollander, David N Vaughan, J-Donald Tournier, Olivier Salvado, Amy Brodtmann, Christopher C Rowe, Victor L Villemagne, and Alan Connelly. Fibre-specific white matter reductions in Alzheimer’s disease and mild cognitive impairment. Brain, 141(3):888–902, 2018.; Elaheh Moradi, Antonietta Pepe, Christian Gaser, Heikki Huttunen, and Jussi Tohka. Machine learning framework for early MRI-based Alzheimer’s conversion prediction in MCI subjects. NeuroImage, 104:398 – 412, 2015.; J. C. Morris. The clinical dementia rating (CDR): Current version and scoring rules. Neurology, 43, 11 1993.; J. C. Morris, A. Heyman, R. C. Mohs, J. P. Hughes, G. van Belle, G. Fillenbaum, E. D. Mellits, and C. Clark. The consortium to establish a registry for Alzheimer’s disease (CERAD). Part I. Clinical and neuropsychological assesment of Alzheimer’s disease. Neurology, 39, 09 1989.; Melissa E Murray, Neill R Graff-Radford, Owen A Ross, Ronald C Petersen, Ranjan Duara, and Dennis W Dickson. Neuropathologically defined subtypes of Alzheimer's disease with distinct clinical char; Ziad S. Nasreddine, Natalie A. Phillips, Val ́erie B ́edirian, Simon Charbonneau, Victor Whitehead, Isabelle Collin, Jeffrey L. Cummings, and Howard Chertkow. The Montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4):695–699, 2005.; Jasmine Nettiksimmons, Charles DeCarli, Susan Landau, and Laurel Beckett. Bio- logical heterogeneity in ADNI amnestic mild cognitive impairment. Alzheimer’s & Dementia, 10(5):511 – 521.e1, 2014.; Emma Nichols, Cassandra E I Szoeke, Stein Emil Vollset, Nooshin Abbasi, Foad Abd-Allah, Jemal Abdela, Miloud Taki Eddine Aichour, Rufus O Akinyemi, Fares Alahdab, Solomon W Asgedom, Ashish Awasthi, Suzanne L Barker-Collo, Bern- hard T Baune, Yannick B ́ejot, Abate B Belachew, Derrick A. Bennett, Belete Bi- adgo, Ali Bijani, Muhammad Shahdaat Bin Sayeed, Carol Brayne, David O Carpen- ter, F ́elix Carvalho, Ferr ́an Catal ́a-L ́opez, Ester Cerin, Jee-Young J Choi, Anh Kim Dang, Meaza G Degefa, Shirin Djalalinia, Manisha Dubey, Eyasu Ejeta Duken, David Edvardsson, Matthias Endres, Sharareh Eskandarieh, Andre Faro, Farshad Farzad- far, Seyed-Mohammad Fereshtehnejad, Eduarda Fernandes, Irina Filip, Florian Fis- cher, Abadi K Gebre, Demeke Geremew, Maryam Ghasemi-Kasman, Elena V. Gne- dovskaya, Rajeev Gupta, Vladimir Hachinski, Tekleberhan B Hagos, Samer Hamidi, Graeme J. Hankey, Josep M Haro, Simon I Hay, Seyed Sina N Irvani, Ravi P Jha, Jost B. Jonas, Rizwan Kalani, Andr ́e Karch, Amir Kasaeian, Yousef Saleh Khader, Ibrahim A Khalil, Ejaz Ahmad Khan, Tripti Khanna, Tawfik A M Khoja, Jagdish Khubchandani, Adnan Kisa, Katarzyna Kissimova-Skarbek, Mika Kivim ̈aki, Ai Koy- anagi, Kristopher J Krohn, Giancarlo Logroscino, Stefan Lorkowski, Marek Majdan, Reza Malekzadeh, Winfried M ̈arz, Jo ̃ao Massano, Getnet Mengistu, Atte Meretoja, Moslem Mohammadi, Maryam Mohammadi-Khanaposhtani, Ali H Mokdad, Stefa- nia Mondello, Ghobad Moradi, Gabriele Nagel, Mohsen Naghavi, Gurudatta Naik, Long H Nguyen, Trang H Nguyen, Yirga L Nirayo, Molly R Nixon, Richard Ofori- Asenso, Felix A Ogbo, Andrew T Olagunju, Mayowa O Owolabi, Songhomitra Panda- Jonas, Val ́eria M de Azeredo Passos, David M. Pereira, Gabriel D Pinilla-Monsalve, Michael A Piradov, Constance D Pond, Hossein Poustchi, Mostafa Qorbani, Amir Radfar, Robert C Reiner, Stephen R Robinson, Gholamreza Roshandel, Ali Rostami, Tom C Russ, Perminder S Sachdev, Hosein Safari, Saeid Safiri, Ramesh Sahathevan, Yahya Salimi, Maheswar Satpathy, Monika Sawhney, Mete Saylan, Sadaf G. Sepanlou, Azadeh Shafieesabet, Masood A Shaikh, Mohammad Ali Sahraian, Mika Shigematsu, Rahman Shiri, Ivy Shiue, Jo ̃ao P Silva, Mari Smith, Soheila Sobhani, Dan J Stein, Rafael Tabar ́es-Seisdedos, Marcos R Tovani-Palone, Bach X Tran, Tung Thanh Tran, Amanuel T Tsegay, Irfan Ullah, Narayanaswamy Venketasubramanian, Vasily Vlassov, Yuan-Pang Wang, Jordan Weiss, Ronny Westerman, Tissa Wijeratne, Grant M.A. Wyper, Yuichiro Yano, Ebrahim M Yimer, Naohiro Yonemoto, Mahmoud Yousefifard, Zoubida Zaidi, Zohreh Zare, Theo Vos, Valery L. Feigin, and Christopher J L Mur- ray. Global, regional, and national burden of Alzheimer's disease and other dementias, 1990–2016: a systematic analysis for the global burden of disease study 2016. The Lancet Neurology, 18(1):88–106, January 2019.; Ofer Pasternak, Nir Sochen, Yaniv Gur, Nathan Intrator, and Yaniv Assaf. Free water elimination and mapping from diffusion MRI. Magnetic Resonance in Medicine, 62(3):717–730, 2009.; R. C. Petersen. Mild cognitive impairment as a diagnostic entity. Journal of Internal Medicine, 256(3):183–194, 2004.; Ronald C. Petersen. Mild cognitive impairment. New England Journal of Medicine, 364(23):2227–2234, 2011. PMID: 21651394.; R. I. Pfeffer, T. T. Kurosaki, C. H. Harrah, J. M. Chance, and S. Filos. Measurement of functional activities in older adults in the community. Journal of Gerontology, 37, 05 1982.; Claudia Plant, Stefan J. Teipel, Annahita Oswald, Christian B ̈ohm, Thomas Meindl, Janaina Mourao-Miranda, Arun W. Bokde, Harald Hampel, and Michael Ewers. Au- tomated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer’s disease. NeuroImage, 50(1):162 – 174, 2010.; Martin James Prince, Anders Wimo, Maelenn Mari Guerchet, Gemma Claire Ali, Yu- Tzu Wu, and Matthew Prina. World Alzheimer Report 2015 - The Global Impact of Dementia: An analysis of prevalence, incidence, cost and trends. Alzheimer’s Disease International, August 2015.; Olivier Querbes, Florent Aubry, J ́er ́emie Pariente, Jean-Albert Lotterie, Jean-Fran ̧cois D ́emonet, V ́eronique Duret, Mich`ele Puel, Isabelle Berry, Jean-Claude Fort, and Pierre Celsis. Early diagnosis of Alzheimer’s disease using cortical thickness: impact of cog- nitive reserve. Brain, 132(8):2036, 2009.; Saima Rathore, Mohamad Habes, Muhammad Aksam Iftikhar, Amanda Shacklett, and Christos Davatzikos. A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer’s disease and its prodromal stages. NeuroImage, pages –, 2017.; R.M. Reitan and D. Wolfson. The Halstead-Reitan Neuropsychological Test Battery: Theory and Clinical Interpretation. Halstead-Reitan neuropsychological test battery for adults. Neuropsychology Press, 1985.; Shannon L. Risacher, Wesley H. Anderson, Arnaud Charil, Peter F. Castelluccio, Sergey Shcherbinin, Andrew J. Saykin, and Adam J. Schwarz and. Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline. Neurology, 89(21):2176–2186, oct 2017.; WG Rosen, RC. Mohs, and KL. Davis. A new rating scale for Alzheimer’s disease. American Journal of Psychiatry, 141(11):1356–1364, 1984. PMID: 6496779.; Andrea Rueda, Fabio Gonzalez, and Eduardo Romero. Extracting salient brain pat- terns for imaging-based classification of neurodegenerative diseases. IEEE Transactions on Medical Imaging, 33(6):1262–1274, 2014.; Marwan N. Sabbagh, Suzanne Hendrix, and John E. Harrison. FDA position statement “Early Alzheimer’s disease: Developing drugs for treatment, guidance for industry”. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 5:13 – 19, 2019.; David H. Salat, Douglas N. Greve, Jennifer L. Pacheco, Brian T. Quinn, Karl G. Helmer, Randy L. Buckner, and Bruce Fischl. Regional white matter volume differences in nondemented aging and Alzheimer’s disease. NeuroImage, 44(4):1247–1258, 2009.; Jorge Samper-Gonz ́alez, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, J ́er ́emy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie-Odile Habert, Stanley Durrleman, Theodoros Evgeniou, and Olivier Colliot. Reproducible evaluation of classification methods in Alzheimer’s disease: Framework and application to MRI and PET data. NeuroImage, 183:504 – 521, 2018.; P Scheltens, F Barkhof, J Valk, PR Algra, RG van der Hoop, J Nauta, and EC Wolters. White matter lesions on magnetic resonance imaging in clinically di- agnosed Alzheimer’s disease. evidence for heterogeneity. Brain, 115(3):735–748, 1992.; P Scheltens, D Leys, F Barkhof, D Huglo, H C Weinstein, P Vermersch, M Kuiper, M Steinling, E C Wolters, and J Valk. Atrophy of medial temporal lobes on MRI in ”probable” Alzheimer’s disease and normal ageing: diagnostic value and neuropsycho- logical correlates. Journal of Neurology, Neurosurgery & Psychiatry, 55(10):967–972, 1992.; Philip Scheltens, Kaj Blennow, Monique M B Breteler, Bart de Strooper, Giovanni B Frisoni, Stephen Salloway, and Wiesje Maria Van der Flier. Alzheimer’s disease. The Lancet, pages –, 2016.; Maartje H. N. Schermer and Edo Richard. On the reconceptualization of Alzheimer’s disease. Bioethics, 33(1):138–145, 2019.; Daniel Schmitter, Alexis Roche, B ́en ́edicte Mar ́echal, Delphine Ribes, Ahmed Abdulka- dir, Meritxell Bach-Cuadra, Alessandro Daducci, Cristina Granziera, Stefan Kl ̈oppel, Philippe Maeder, Reto Meuli, and Gunnar Krueger. An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer’s disease. NeuroImage: Clinical, 7:7 – 17, 2015.; Norbert Schuff, Duygu Tosun, Philip S. Insel, Gloria C. Chiang, Diana Truran, Paul S. Aisen, Clifford R. Jack, and Michael W. Weiner. Nonlinear time course of brain volume loss in cognitively normal and impaired elders. Neurobiology of Aging, 33(5):845–855, May 2012.; Claire E. Sexton, Ukwuori G. Kalu, Nicola Filippini, Clare E. Mackay, and Klaus P. Ebmeier. A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer’s disease. Neurobiology of Aging, 32(12):2322.e5 – 2322.e18, 2011.; Hiral Shah, Emiliano Albanese, Cynthia Duggan, Igor Rudan, Kenneth M Langa, Maria C Carrillo, Kit Yee Chan, Yves Joanette, Martin Prince, Martin Rossor, Shekhar Saxena, Heather M Snyder, Reisa Sperling, Mathew Varghese, Huali Wang, Marc Wortmann, and Tarun Dua. Research priorities to reduce the global burden of dementia by 2025. The Lancet Neurology, 15(12):1285 – 1294, 2016.; Hanne Struyfs, Diana Maria Sima, Melissa Wittens, Annemie Ribbens, Nuno Pedrosa de Barros, Thanh Vˆan Phan, Maria Ines Ferraz Meyer, Lene Claes, Ellis Niemantsver- driet, Sebastiaan Engelborghs, Wim Van Hecke, and Dirk Smeets. Automated MRI volumetry as a diagnostic tool for Alzheimer’s disease: Validation of icobrain dm. NeuroImage: Clinical, 26:102243, 2020.; Hanne Struyfs, Wim Van Hecke, Jelle Veraart, Jan Sijbers, Sylvie Slaets, Maya De Belder, Laura Wuyts, Benjamin Peters, Kristel Sleegers, and Caroline et al. Rob- berecht. Diffusion kurtosis imaging: A possible MRI biomarker for AD diagnosis? Journal of Alzheimer’s Disease, 48(4):937–948, 2015.; L. Sørensen, A. Pai, C. Anker, I. Balas, M. Lillholm, C. Igel, and M. Nielsen. Dementia diagnosis using MRI cortical thickness, shape, texture, and volumetry. Proc MICCAI Workshop Challenge on Computer-Aided Diagnosis of Dementia Based on Structural MRI Data, pages 111–118, 01 2014.; Lauge Sørensen, Christian Igel, Naja Liv Hansen, Merete Osler, Martin Lauritzen, Egill Rostrup, Mads Nielsen, for the Alzheimer’s Disease Neuroimaging Initiative, the Australian Imaging Biomarkers, and Lifestyle Flagship Study of Ageing. Early detec- tion of Alzheimer’s disease using MRI hippocampal texture. Human Brain Mapping, 37(3):1148–1161, 2016.; Alexander N.W. Taylor, Lana Kambeitz-Ilankovic, Benno Gesierich, Lee Simon- ́ Araque Caballero, Sophia M ̈ Vermot, Nicolai Franzmeier, Miguel A. uller, Liu Hes- heng, Birgit Ertl-Wagner, Katharina B ̈ urger, Michael W. Weiner, Martin Dichgans, Marco Duering, Michael Ewers, and Alzheimer’s Disease Neuroimaging Initiative (ADNI). Tract-specific white matter hyperintensities disrupt neural network function in Alzheimer’s disease. Alzheimer’s & Dementia, 13(3):225–235, 2017.; Stefan Teipel, Alexander Drzezga, Michel J Grothe, Henryk Barthel, Ga ̈el Ch ́etelat, Norbert Schuff, Pawel Skudlarski, Enrica Cavedo, Giovanni B Frisoni, Wolfgang Hoff- mann, Jochen Ren ́e Thyrian, Chris Fox, Satoshi Minoshima, Osama Sabri, and An- dreas Fellgiebel. Multimodal imaging in Alzheimer's disease: validity and usefulness for early detection. The Lancet Neurology, 14(10):1037–1053, October 2015.; Stefan J. Teipel, Michel J. Grothe, Massimo Filippi, Andreas Fellgiebel, Martin Dyrba, Giovanni B. Frisoni, Thomas Meindl, Arun L.W. Bokde, Harald Hampel, and Stefan Kloppel. Fractional anisotropy changes in Alzheimer’s disease depend on the under- lying fiber tract architecture: A multiparametric DTI study using joint independent component analysis. Journal of Alzheimer’s Disease, 41(1):69–83, 2014.; Mara ten Kate, Ellen Dicks, Pieter Jelle Visser, Wiesje M van der Flier, Charlotte E Teunissen, Frederik Barkhof, Philip Scheltens, Betty M Tijms, and Alzheimer’s Dis- ease Neuroimaging Initiative. Atrophy subtypes in prodromal Alzheimer’s disease are associated with cognitive decline. Brain, 141(12):3443–3456, 10 2018.; Paul M. Thompson, Kiralee M. Hayashi, Greig de Zubicaray, Andrew L. Janke, Stephen E. Rose, James Semple, David Herman, Michael S. Hong, Stephanie S. Dittmer, David M. Doddrell, and Arthur W. Toga. Dynamics of gray matter loss in Alzheimer’s disease. The Journal of Neuroscience, 23(3):994–1005, 2003.; Betty M Tijms and Pieter Jelle Visser. Capturing the Alzheimer’s disease pathological cascade. The Lancet Neurology, 17(3):199–200, mar 2018.; Matthew Toews, William Wells III, D. Louis Collins, and Tal Arbel. Feature-based morphometry: Discovering group-related anatomical patterns. NeuroImage, 49(3):2318 – 2327, 2010.; Manuela Tondelli, Gordon K. Wilcock, Paolo Nichelli, Celeste A. De Jager, Mark Jenkinson, and Giovanna Zamboni. Structural MRI changes detectable up to ten years before clinical Alzheimer’s disease. Neurobiology of Aging, 33(4):825.e25 – 825.e36, 2012.; J-Donald Tournier. Diffusion mri in the brain – theory and concepts. Progress in Nuclear Magnetic Resonance Spectroscopy, 112-113:1 – 16, 2019.; J-Donald Tournier, Fernando Calamante, and Alan Connelly. Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super- resolved spherical deconvolution. NeuroImage, 35(4):1459 – 1472, 2007.; J.-Donald Tournier, Fernando Calamante, David G. Gadian, and Alan Connelly. Direct estimation of the fiber orientation density function from diffusion-weighted mri data using spherical deconvolution. NeuroImage, 23(3):1176–1185, 2004.; Dallas P. Veitch, Michael W. Weiner, Paul S. Aisen, Laurel A. Beckett, Nigel J. Cairns, Robert C. Green, Danielle Harvey, Clifford R. Jack, William Jagust, John C. Morris, Ronald C. Petersen, Andrew J. Saykin, Leslie M. Shaw, Arthur W. Toga, and John Q. Trojanowski. Understanding disease progression and improving Alzheimer’s disease clinical trials: Recent highlights from the Alzheimer’s disease neuroimaging initiative. Alzheimer’s & Dementia, 15(1):106 – 152, 2019.; Prashanthi Vemuri, Jeffrey L. Gunter, Matthew L. Senjem, Jennifer L. Whitwell, Kejal Kantarci, David S. Knopman, Bradley F. Boeve, Ronald C. Petersen, and Clifford R. Jack Jr. Alzheimer’s disease diagnosis in individual subjects using structural MR images: Validation studies. NeuroImage, 39(3):1186 – 1197, 2008.; Christian Wachinger, David H. Salat, Michael Weiner, Martin Reuter, and for the Alzheimer’s Disease Neuroimaging Initiative. Whole-brain analysis reveals increased neuroanatomical asymmetries in dementia for hippocampus and amygdala. Brain, 139(12):3253–3266, 10 2016.; D. Wechsler. Wechsler Memory Scale-Revised: Manual. Harcourt Brace Jovanovich, 1987.; Michael W. Weiner, Dallas P. Veitch, Paul S. Aisen, Laurel A. Beckett, Nigel J. Cairns, Robert C. Green, Danielle Harvey, Clifford R. Jack, William Jagust, John C. Morris, Ronald C. Petersen, Andrew J. Saykin, Leslie M. Shaw, Arthur W. Toga, and John Q. Trojanowski. Recent publications from the Alzheimer’s Disease Neuroimaging Initia- tive: Reviewing progress toward improved AD clinical trials. Alzheimer’s & Dementia, 13(4):e1 – e85, 2017.; Sandra Weintraub, Alissa H. Wicklund, and David P. Salmon. The neuropsychological profile of Alzheimer disease. Cold Spring Harbor Perspectives in Medicine, 2(4), 2012.; Philip S.J. Weston, Ivor J.A. Simpson, Natalie S. Ryan, Sebastien Ourselin, and Nick C. Fox. Diffusion imaging changes in grey matter in Alzheimer’s disease: a po- tential marker of early neurodegeneration. Alzheimer’s Research & Therapy, 7(1):1–8, 2015.; Jennifer L Whitwell, Dennis W Dickson, Melissa E Murray, Stephen D Weigand, Nirubol Tosakulwong, Matthew L Senjem, David S Knopman, Bradley F Boeve, Joseph E Parisi, and Ronald C et al. Petersen. Neuroimaging correlates of patho- logically defined subtypes of Alzheimer’s disease: a case-control study. The Lancet Neurology, 11(10):868–877, 2012.; Jing Zhang, Chunshui Yu, Guilian Jiang, Weifang Liu, and Longzheng Tong. 3D texture analysis on MRI images of Alzheimer’s disease. Brain Imaging and Behavior, 6(1):61–69, 2011.; Lin Zhuang, Perminder S. Sachdev, Julian N. Trollor, Simone Reppermund, Nicole A. Kochan, Henry Brodaty, and Wei Wen. Microstructural white matter changes, not hippocampal atrophy, detect early amnestic mild cognitive impairment. PLOS ONE, 8(3):1–10, 03 2013.; Chen Zu, Biao Jie, Mingxia Liu, Songcan Chen, Dinggang Shen, and Daoqiang Zhang. Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment. Brain Imaging and Behavior, pages 1–12, 2015.; M. S. Bartlett. The statistical conception of mental factors. British Journal of Psychol- ogy. General Section, 28(1):97–104, jul 1937.; Mark W. Bondi, Emily C. Edmonds, Amy J. Jak, Lindsay R. Clark, Lisa Delano-Wood, Carrie R. McDonald, Daniel A. Nation, David J. Libon, Rhoda Au, Douglas Galasko, and David P. Salmon. Neuropsychological criteria for mild cognitive impairment im- proves diagnostic precision, biomarker associations, and progression rates. Journal of Alzheimer’s Disease, 42(1):275–289, 2014.; Leo Breiman. Random forests. Machine Learning, 45(1):5–32, Oct 2001.; Malika Charrad, Nadia Ghazzali, V ́eronique Boiteau, and Azam Niknafs. NbClust: An R package for determining the relevant number of clusters in a data set. Journal of Statistical Software, Articles, 61(6):1–36, 2014.; Paul K. Crane, Adam Carle, Laura E. Gibbons, Philip Insel, R. Scott Mackin, Alden Gross, Richard N. Jones, Shubhabrata Mukherjee, S. McKay Curtis, Danielle Harvey, Michael Weiner, Dan Mungas, and for the Alzheimer’s Disease Neuroimaging Initiative. Development and assessment of a composite score for memory in the Alzheimer’s disease neuroimaging initiative (ADNI). Brain Imaging and Behavior, 6(4):502–516, Dec 2012.; Robert Cudeck. Exploratory factor analysis. In Howard E.A. Tinsley and Steven D. Brown, editors, Handbook of Applied Multivariate Statistics and Mathematical Modeling, pages 265 – 296. Academic Press, San Diego, 2000.; R ́emi Cuingnet, Emilie Gerardin, J ́erˆome Tessieras, Guillaume Auzias, St ́ephane Leh ́ericy, Marie-Odile Habert, Marie Chupin, Habib Benali, and Olivier Colliot. Auto- matic classification of patients with Alzheimer’s disease from structural MRI: A com- parison of ten methods using the adni database. NeuroImage, 56(2):766 – 781, 2011. Multivariate Decoding and Brain Reading.; Emily C. Edmonds, Lisa Delano-Wood, Lindsay R. Clark, Amy J. Jak, Daniel A. Nation, Carrie R. McDonald, David J. Libon, Rhoda Au, Douglas Galasko, David P. Salmon, and Mark W. Bondi. Susceptibility of the conventional criteria for mild cognitive im- pairment to false-positive diagnostic errors. Alzheimer’s & Dementia, 11(4):415 – 424, 2015.; Emily C. Edmonds, Carrie R. McDonald, Anisa Marshall, Kelsey R. Thomas, Joel Ep- pig, Alexandra J. Weigand, Lisa Delano-Wood, Douglas R. Galasko, David P. Salmon, and Mark W. Bondi. Early versus late MCI: Improved MCI staging using a neuropsy- chological approach. Alzheimer’s & Dementia, 15(5):699 – 708, 2019.; Joel S. Eppig, Emily C. Edmonds, Laura Campbell, Mark Sanderson-Cimino, Lisa Delano-Wood, and Mark W. Bondi. Statistically derived subtypes and associations with cerebrospinal fluid and genetic biomarkers in mild cognitive impairment: A latent profile analysis. Journal of the International Neuropsychological Society, 23(7):564–576, 2017.; Yoav Freund and Robert E Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119–139, 1997.; Leticia Garcia-Alvarez, Jesus J. Gomar, Amber Sousa, Maria P. Garcia-Portilla, and Terry E. Goldberg. Breadth and depth of working memory and executive function compromises in mild cognitive impairment and their relationships to frontal lobe mor- phometry and functional competence. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 11:170–179, December 2019.; Tamar H. Gollan, Gali H. Weissberger, Elin Runnqvist, Rosa I. Montoya, and Cyn- thia M. Cera. Self-ratings of spoken language dominance: A multilingual naming test (MINT) and preliminary norms for young and aging spanish–english bilinguals. Bilin- gualism: Language and Cognition, 15(3):594–615, August 2011.; H. Goodglass and E. Kaplan. The Assessment of Aphasia and Related Disorders. Num- ber v. 2 in The Assessment of Aphasia and Related Disorders. Lea & Febiger, 1983.; Devendra Goyal, Donna Tjandra, Raymond Q. Migrino, Bruno Giordani, Zeeshan Syed, and Jenna Wiens. Characterizing heterogeneity in the progression of Alzheimer’s disease using longitudinal clinical and neuroimaging biomarkers. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 10:629 – 637, 2018.; James W. Grice. Computing and evaluating factor scores. Psychological Methods, 6, 2001.; Yifan Huang, Kaori Ito, Clare B. Billing, and Richard J. Anziano. Development of a straightforward and sensitive scale for MCI and early AD clinical trials. Alzheimer’s & Dementia, 11(4):404 – 414, 2015.; Mark Jenkinson, Peter Bannister, Michael Brady, and Stephen Smith. Improved opti- mization for the robust and accurate linear registration and motion correction of brain images. NeuroImage, 17(2):825–841, 2002.; Mark Jenkinson, Christian F. Beckmann, Timothy E.J. Behrens, Mark W. Woolrich, and Stephen M. Smith. FSL. NeuroImage, 62(2):782–790, 2012. 20 YEARS OF fMRI.; E. Kaplan, H. Goodglass, and S. Weintraub. The Boston Naming Test. Lea and Febiger, 1989.; Peter J. Rousseeuw Leonard Kaufman. Finding Groups in Data: An Introduction to Cluster Analysis. Wiley Series in Probability and Statistics. Wiley-Interscience, 1 edi- tion, 2005.; Daniel A. Llano, Genevieve Laforet, and Viswanath Devanarayan. Derivation of a new ADAS-cog composite using tree-based multivariate analysis. Alzheimer Disease & Associated Disorders, 25(1):73–84, 2011.; David A. Loewenstein, Raymond M.D. Ownby, Lynn Schram, Amarilis Acevedo, Mark Rubert, and Trinidad Argelles. An evaluation of the NINCDS-ADRDA neuropsycho- logical criteria for the assessment of Alzheimers disease: A confirmatory factor analysis of single versus multi-factor models. Journal of Clinical and Experimental Neuropsy- chology (Neuropsychology, Development and Cognition: Section A), 23(3):274–284, jun 2001.; Ian B. Malone, David Cash, Gerard R. Ridgway, David G. MacManus, Sebastien Ourselin, Nick C. Fox, and Jonathan M. Schott. Miriad—public release of a multi- ple time point Alzheimer’s MR imaging dataset. NeuroImage, 70:33–36, 2013.; Daniel S. Marcus, Tracy H. Wang, Jamie Parker, John G. Csernansky, John C. Morris, and Randy L. Buckner. Open access series of imaging studies (OASIS): Cross-sectional MRI data in young, middle aged, nondemented, and demented older adults. Journal of Cognitive Neuroscience, 19(9):1498–1507, 09 2007.; Lovingly Quitania Park, Alden L. Gross, Donald G. McLaren, Judy Pa, Julene K. Johnson, Meghan Mitchell, and Jennifer J. Manly. Confirmatory factor analysis of the ADNI neuropsychological battery. Brain Imaging and Behavior, 6(4):528–539, 2012.; Telma Pereira, Francisco L. Ferreira, Sandra Cardoso, Dina Silva, Alexandre de Men- don ̧ca, Manuela Guerreiro, Sara C. Madeira, and for the Alzheimer’s Disease Neu- roimaging Initiative. Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability. BMC Medical Informatics and Decision Making, 18(1):137, Dec 2018.; Telma Pereira, Lu ́ıs Lemos, Sandra Cardoso, Dina Silva, Ana Rodrigues, Isabel San- tana, Alexandre de Mendon ̧ca, Manuela Guerreiro, and Sara C. Madeira. Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows. BMC Medical Informatics and Decision Making, 17(1):110, Jul 2017.; essica Peter, Ahmed Abdulkadir, Christoph Kaller, Dorothee K ̈ ummerer, Michael H ̈ ull, Werner Vach, and Stefan Kl ̈oppel. Subgroups of Alzheimer’s disease: Stability of em- pirical clusters over time. Journal of Alzheimer’s Disease, 42(2):651 – 661, 2014.; Nandini Raghavan, Mahesh N. Samtani, Michael Farnum, Eric Yang, Gerald No- vak, Michael Grundman, Vaibhav Narayan, Allitia DiBernardo, and Alzheimer’s Dis- ease Neuroimaging Initiative. The ADAS-Cog revisited: Novel composite scales based on ADAS-Cog to improve e; Nandini Raghavan, Mahesh N. Samtani, Michael Farnum, Eric Yang, Gerald No- vak, Michael Grundman, Vaibhav Narayan, Allitia DiBernardo, and Alzheimer’s Dis- ease Neuroimaging Initiative. The ADAS-Cog revisited: Novel composite scales based on ADAS-Cog to improve efficiency in MCI and early AD trials. Alzheimer’s & Demen- tia, 9(1S):S21–S31, 2013.; A. P. Reynolds, G. Richards, B. de la Iglesia, and V. J. Rayward-Smith. Clustering rules: A comparison of partitioning and hierarchical clustering algorithms. Journal of Mathematical Modelling and Algorithms, 5(4):475–504, Dec 2006.; Yves Rosseel. lavaan: An R package for structural equation modeling. Journal of Statistical Software, Articles, 48(2):1–36, 2012.; Yossi Rubner, Carlo Tomasi, and Leonidas J. Guibas. The earth mover’s distance as a metric for image retrieval. International Journal of Computer Vision, 40(2):99–121, 2000.; Chris Seiffert, Taghi M Khoshgoftaar, Jason Van Hulse, and Amri Napolitano. RUS- boost: A hybrid approach to alleviating class imbalance. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 40(1):185–197, 2010.; Curtis Tatsuoka, Huiyun Tseng, Judith Jaeger, Ferenc Varadi, Mark A Smith, Tomoko Yamada, Kathleen A Smyth, and Alan J Lerner and. Modeling the heterogeneity in risk of progression to Alzheimer’s disease across cognitive profiles in mild cognitive impairment. Alzheimer’s Research & Therapy, 5(2):14, 2013.; Kelsey R. Thomas, Joel S. Eppig, Alexandra J. Weigand, Emily C. Edmonds, Christina G. Wong, Amy J. Jak, Lisa Delano-Wood, Douglas R. Galasko, David P. Salmon, Steven D. Edland, and Mark W. Bondi. Artificially low mild cognitive im- pairment to normal reversion rate in the Alzheimer’s Disease Neuroimaging Initiative. Alzheimer’s & Dementia, 15(4):561 – 569, 2019.; Eric Westman, Andrew Simmons, Yi Zhang, J-Sebastian Muehlboeck, Catherine Tun- nard, Yawu Liu, Louis Collins, Alan Evans, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kloszewska, Hilkka Soininen, Simon Lovestone, Christian Spenger, and Lars-Olof Wahlund. Multivariate analysis of MRI data for Alzheimer’s disease, mild cognitive impairment and healthy controls. NeuroImage, 54(2):1178 – 1187, 2011.; Robin Wolz, Valtteri Julkunen, Juha Koikkalainen, Eini Niskanen, Dong Ping Zhang, Daniel Rueckert, Hilkka Soininen, Jyrki L ̈otj ̈onen, and the Alzheimer’s Disease Neu- roimaging Initiative. Multi-method analysis of MRI images in early diagnostics of Alzheimer’s disease. PLoS ONE, 6(10):1–9, 10 2011.; Daoqiang Zhang, Yaping Wang, Luping Zhou, Hong Yuan, and Dinggang Shen. Multi- modal classification of Alzheimer’s disease and mild cognitive impairment. NeuroImage, 55(3):856 – 867, 2011.; https://repositorio.unal.edu.co/handle/unal/81406Test; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.coTest/

  8. 8
    مؤتمر

    المصدر: 0277-786X ; Proceedings of the Society of Photo-optical Instrumentation Engineers

    مصطلحات موضوعية: Physics, Human medicine

    العلاقة: info:eu-repo/semantics/altIdentifier/isi/000461816200026

  9. 9
    دورية أكاديمية
  10. 10
    مؤتمر

    المساهمون: Alzheimer's Dis Neuroimaging Init

    المصدر: 0277-786X ; Proceedings of the Society of Photo-optical Instrumentation Engineers

    مصطلحات موضوعية: Physics, Human medicine

    العلاقة: info:eu-repo/semantics/altIdentifier/isi/000419981400016