Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment

Cites (391)

Items 201–387 of 387

1. Mild cognitive impairment in clinical care
   Jeffrey Scott Roberts, Jason H. Karlawish, Wendy R. Uhlmann, Ronald Carl Petersen, Robert C. Green · 2010 · Neurology
2. An Optimal Decisional Space for the Classification of Alzheimer's Disease and Mild Cognitive Impairment
   Qi Zhou, Mohammed Goryawala, Mercedes Cabrerizo, Jin Wang, Warren Barker, David Loewenstein, Ranjan Duara, Malek Adjouadi · 2014 · IEEE Transactions on Biomedical Engineering
3. Development of Screening Guidelines and Clinical Criteria for Predementia Alzheimer’s Disease
   Pieter Jelle Visser, Frans R.J. Verhey, Merçé Boada, R. Morris Bullock, Peter Paul De Deyn, Giovanni Battista Frisoni, Lutz Frölich, Harald Juergen Hampel, Jelle Jolles, Roy W. Jones et al. · 2008 · Neuroepidemiology
4. Prediction of AD dementia by biomarkers following the NIA‐AA and IWG diagnostic criteria in MCI patients from three European memory clinics
   Annapaola Prestia, Anna Caroli, Sara Wade, Wiesje M. van der Flier, Rik Ossenkoppele, Bart N.M. van Berckel, Frederik Barkhof, Charlotte Elisabeth Teunissen, Anders E. Wall, Stephen F. Carter et al. · 2015 · Alzheimer s & Dementia
5. MRI and cerebrospinal fluid biomarkers for predicting progression to Alzheimer's disease in patients with mild cognitive impairment: a diagnostic accuracy study
   Richard, Edo, Schmand, Ben A, Eikelenboom, Piet, Van Gool, Willem A · 2013 · BMJ Open
6. Dementia imaging in clinical practice: a European-wide survey of 193 centres and conclusions by the ESNR working group
   Meike Willemijn Vernooij, Francesca Benedetta Pizzini, Reinhold Schmidt, Marion Smits, Tarek Ahmed Yousry, Núria Bargalló, Giovanni Battista Frisoni, Sven Haller, Frederik Barkhof · 2019 · Neuroradiology
7. White Matter Disease Independently Predicts Progression from Mild Cognitive Impairment to Alzheimer’s Disease in a Clinic Cohort
   Kalpana Prasad, Lynn Wiryasaputra, Amanda Ng, Nagaendran Kandiah · 2011 · Dementia and Geriatric Cognitive Disorders
8. Longitudinal CSF isoprostane and MRI atrophy in the progression to AD
   Mony J. de Leon, Lisa Mosconi, J. Li, Susan De Santi, Yongcheng Yao, Wai-Hon Tsui, Elizabeth Pirraglia, Kenneth E. Rich, E. Javier, Mirosław Bryś et al. · 2007 · Journal of Neurology
9. A Combination of Neuropsychological, Neuroimaging, and Cerebrospinal Fluid Markers Predicts Conversion from Mild Cognitive Impairment to Dementia
   Carl Eckerström, Erik Olsson, Maria Bjerke, Helge Malmgren, Åke Edman, Anders Wallin, Arto Nordlund · 2013 · Journal of Alzheimer s Disease
10. Predicting Progression to Dementia in Elderly Subjects with Mild Cognitive Impairment Using Both Cognitive and Neuroimaging Predictors
    Frédéric Peters, Sylvia Villeneuve, Sylvie Belleville · 2013 · Journal of Alzheimer s Disease
11. Reduced medial temporal lobe N -acetylaspartate in cognitively impaired but nondemented patients
    Linda L. Chao, Norbert W. Schuff, Joel H. Kramer, Antao Du, Arístides Andrés Capizzano, Joseph O’Neill, Owen M. Wolkowitz, William J. Jagust, H. C. Chui, Bruce L. Miller et al. · 2005 · Neurology
12. Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error
    Iman Beheshti, Hasan Demirel, Farnaz Farokhian, Chunlan Yang, Hiroshi Matsuda · 2016 · Computer Methods and Programs in Biomedicine
13. MetaDAS: A SAS macro for meta-analysis of diagnostic accuracy studies
    Yemisi Takwoingi, Jonathan J Deeks · 2010
14. Test sequence of CSF and MRI biomarkers for prediction of AD in subjects with MCI
    Stephanie J. B. Vos, Ineke van Rossum, Leah C. Burns, Dirk L. Knol, Philip Scheltens, Hilkka S. Soininen, Lars‐Olof Wahlund, Harald Juergen Hampel, Magda Tsolaki, Lennart Minthon et al. · 2012 · Neurobiology of Aging
15. MRI of human entorhinal cortex: a reliable protocol for volumetric measurement
    I.I. Goncharova, Bradford Clark Dickerson, Travis R. Stoub, Leyla deToledo‐Morrell · 2001 · Neurobiology of Aging
16. Voxel-MARS: a method for early detection of Alzheimer’s disease by classification of structural brain MRI
    The Alzheimer’s Disease Neuroimaging Initiative, Alper Çevik, Gerhard‐Wilhelm Weber, B. Murat Eyüboğlu, Kader Karlı Oğuz · 2017 · Annals of Operations Research
17. MRI Characterizes the Progressive Course of AD and Predicts Conversion to Alzheimer’s Dementia 24 Months Before Probable Diagnosis
    Salvatore, Christian, Cerasa, Antonio, Castiglioni, Isabella · 2018 · Frontiers in Aging Neuroscience
18. Influence of age, disease onset and ApoE4 on visual medial temporal lobe atrophy cut‐offs
    Joana B. Pereira, Lena Cavallin, Gabriela Spulber, Carlos Aguilar, Patrizia Mecocci, Bruno J. Vellas, Magda Tsolaki, Iwona Kłoszewska, Hilkka S. Soininen, Christian Spenger et al. · 2013 · Journal of Internal Medicine
19. Clinical validity of medial temporal atrophy as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework
    Mara ten Kate, Frederik Barkhof, Marina Boccardi, Pieter Jelle Visser, Clifford R. Jack, Karl‐Olof Lövblad, Giovanni Battista Frisoni, Philip Scheltens · 2017 · Neurobiology of Aging
20. Incremental value of biomarker combinations to predict progression of mild cognitive impairment to Alzheimer’s dementia
    Lutz Frölich, Oliver Peters, Piotr Lewczuk, Oliver Gruber, Stefan Johannes Teipel, Hermann‐Josef Gertz, Holger Jahn, Frank Jessen, Alexander Kurz, Christian Luckhaus et al. · 2017 · Alzheimer s Research & Therapy
21. Can a novel computerized cognitive screening test provide additional information for early detection of Alzheimer's disease?
    Tarnanas, Ioannis, Tsolaki, Magda, Nef, Tobias, M. Müri, René, Mosimann, Urs P. · 2014 · Alzheimer's & Dementia
22. Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis
    Kun Hu, Yijue Wang, Kewei Chen, Likun Hou, Xiaoqun Zhang · 2015 · Neurocomputing
23. Comparing 3T and 1.5T MRI for Mapping Hippocampal Atrophy in the Alzheimer's Disease Neuroimaging Initiative
    Nicole Chow, K.S. Hwang, Sona Hurtz, Amity E. Green, Johanne Hatteland Somme, Paul M. Thompson, David A. Elashoff, Clifford R. Jack, Michael Walter Weiner, Liana G. Apostolova · 2015 · American Journal of Neuroradiology
24. Baseline CSF p-tau levels independently predict progression of hippocampal atrophy in Alzheimer disease
    Wouter J.P. Henneman, Hugo Vrenken, Josephine Barnes, Ingrid C. Sluimer, Nicolaas A. Verwey, Marinus A. Blankenstein, Martin Klein, Nick C. Fox, Philip Scheltens, Frederik Barkhof et al. · 2009 · Neurology
25. Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers
    Lele Xu, Xia Wu, Rui Li, Kewei Chen, Zhiying Long, Jiacai Zhang, Xiaojuan Guo, Li Yao, the Alzheimer’s Disease Neuroimaging Initiative · 2016 · Journal of Alzheimer s Disease
26. Time course of brain volume changes in the preclinical phase of Alzheimer's disease
    Charlotte Bernard, Catherine Helmer, Bixente Dilharreguy, Hélène Amieva, Sophie Auriacombe, Jean‐François Dartigues, Michèle Allard A, Gwénaëlle Catheline · 2014 · Alzheimer s & Dementia
27. White matter hyperintensities and amyloid are independently associated with entorhinal cortex volume among individuals with mild cognitive impairment
    Vanessa A. Guzman, Owen Thomas Carmichael, Christopher G. Schwarz, Giuseppe Tosto, Molly E. Zimmerman, Adam M. Brickman, Alzheimer’s Disease Neuroimaging Initiative · 2013 · Alzheimer s & Dementia
28. Basal Forebrain and Hippocampus as Predictors of Conversion to Alzheimer’s Disease in Patients with Mild Cognitive Impairment – A Multicenter DTI and Volumetry Study
    Katharina Brueggen, Martin Dyrba, Frederik Barkhof, Lucrezia Hausner, Massimo Filippi, Peter J. Nestor, Karlheinz Hauenstein, Stefan Klöppel, Michel J. Grothe, Elisabeth Kasper et al. · 2015 · Journal of Alzheimer s Disease
29. MRI-Guided SPECT Perfusion Measures and Volumetric MRI in Prodromal Alzheimer Disease
    Georges El Fakhri, Marie Foley Kijewski, Keith A. Johnson, Grigoriy Syrkin, Ronald Killiany, John Alex Becker, R.E. Zimmerman, Marilyn Albert · 2003 · Archives of Neurology
30. Derivation of a New ADAS-cog Composite Using Tree-based Multivariate Analysis
    Daniel A. Llano, Genevieve A. Laforet, Viswanath Devanarayan · 2010 · Alzheimer Disease & Associated Disorders
31. MRI confirms mild cognitive impairments prodromal for Alzheimer's, vascular and Parkinson-Lewy body dementias
    John Stirling Meyer, Juebin Huang, Munir H. Chowdhury · 2007 · Journal of the Neurological Sciences
32. Cerebrospinal Fluid Tau Protein and Periventricular White Matter Lesions in Patients With Mild Cognitive Impairment
    Masahiro Maruyama, Toshifumi Matsui, Haruko Tanji, Miyako Nemoto, Naoki Tomita, Mari Ootsuki, Hiroyuki Arai, Hidetada Sasaki · 2004 · Archives of Neurology
33. Classification and prediction of clinical diagnosis of Alzheimer's disease based on MRI and plasma measures of α‐/γ‐tocotrienols and γ‐tocopherol
    Francesca Mangialasche, Eric Westman, Miia Kivipelto, J‐Sebastian Muehlboeck, Roberta Cecchetti, Mauro Baglioni, R. Tarducci, Gianni Gobbi, Piero Floridi, Hilkka S. Soininen et al. · 2013 · Journal of Internal Medicine
34. The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
    Dennis Chan, Laura Gallaher, Kuven K Moodley, Ludovico Minati, Neil Burgess, Tom Hartley · 2016 · Journal of Visualized Experiments
35. Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study
    Klöppel, Stefan, Peter, Jessica, Ludl, Anna, Pilatus, Anne, Maier, Sabrina, Mader, Irina, Heimbach, Bernhard, Frings, Lars, Egger, Karl, Dukart, Juergen et al. · 2015 · Journal of Alzheimer’s Disease
36. Reduced neuronal efficacy in progressive mild cognitive impairment: A prospective fMRI study on visuospatial processing
    Patrizia Vannini, Ove Almkvist, Thomas Dierks, Christoph Ulrich Lehmann, Lars‐Olof Wahlund · 2007 · Psychiatry Research Neuroimaging
37. Accurate Prediction of Conversion to Alzheimer’s Disease using Imaging, Genetic, and Neuropsychological Biomarkers
    Juergen Dukart, Fabio Sambataro, Alessandro Bertolino, Alzheimer’s Disease Neuroimaging Initiative · 2015 · Journal of Alzheimer s Disease
38. Dual-Model Radiomic Biomarkers Predict Development of Mild Cognitive Impairment Progression to Alzheimer’s Disease
    Hucheng Zhou, Jiehui Jiang, Jiaying Lu, Min Wang, Huiwei Zhang, Chuantao Zuo, Alzheimer’s Disease Neuroimaging Initiative · 2019 · Frontiers in Neuroscience
39. Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer's disease
    Kenichi Ota, Naoya Oishi, Kengo Ito, Hidenao Fukuyama · 2015 · Journal of Neuroscience Methods
40. APOE ε4 Is Associated with Disproportionate Progressive Hippocampal Atrophy in AD
    Emily Ndakola Manning, Josephine Barnes, David M. Cash, Jonathan William Bartlett, Kelvin K. Leung, Sebastien Ourselin A, Nick C. Fox, Alzheimer’s Disease Neuroimaging Initiative · 2014 · PLoS ONE
41. An MRI‐based index to measure the severity of Alzheimer's disease‐like structural pattern in subjects with mild cognitive impairment
    Gabriela Spulber, Andrew Simmons, J‐Sebastian Muehlboeck, Patrizia Mecocci, Bruno J. Vellas, Magda Tsolaki, Iwona Kłoszewska, Hilkka Soininen, Christian Spenger, Simon Lovestone et al. · 2013 · Journal of Internal Medicine
42. Prediction of Incipient Alzheimer’s Disease Dementia in Patients with Mild Cognitive Impairment
    Babak Assai Ardekani, Alzheimer’s Disease Neuroimaging Initiative, Elaine Bermudez, Asim M. Mubeen, Alvin H. Bachman · 2016 · Journal of Alzheimer s Disease
43. Subcortical Shape Changes, Hippocampal Atrophy and Cortical Thinning in Future Alzheimer's Disease Patients
    Andrea M. Kälin, Min Tae M Park, M. Mallar Chakravarty, Jason P. Lerch, Lars Michels, Clemens Schroeder, Sarah D. Broicher, Spyros Kollias, Roger M. Nitsch, Anton Franz Gietl et al. · 2017 · Frontiers in Aging Neuroscience
44. Magnetic Resonance Imaging Improves Cerebrospinal Fluid Biomarkers in the Early Detection of Alzheimer's Disease
    Mirosław Bryś, Lidia Glodzik, Lisa Mosconi, Remigiusz Switalski, Susan De Santi, Elizabeth Pirraglia, Kenneth E. Rich, Byeong Chae Kim, Pankaj D Mehta, Ray Zinkowski et al. · 2009 · Journal of Alzheimer s Disease
45. Diagnostic accuracy of markers for prodromal Alzheimer's disease in independent clinical series
    Annapaola Prestia, Anna Caroli, Karl Herholz, Eric M. Reiman, Kewei Chen, William J. Jagust, Giovanni Battista Frisoni, Alzheimer’s Disease Neuroimaging Initiative · 2013 · Alzheimer s & Dementia
46. 18F PET with florbetapir for the early diagnosis of Alzheimer’s disease dementia and other dementias in people with mild cognitive impairment (MCI)
    Gabriel Martínez, Robin W.M. Vernooij, Paulina Fuentes Padilla, Javier Zamora, Xavier Bonfill, Leon A Flicker · 2017 · Cochrane Database of Systematic Reviews
47. A point‐based tool to predict conversion from mild cognitive impairment to probable Alzheimer's disease
    Deborah E. Barnes, Irena Stijacic Cenzer, Kristine S. Yaffe, Christine Seel Ritchie, Sei J. Lee, Alzheimer’s Disease Neuroimaging Initiative · 2014 · Alzheimer s & Dementia
48. Managing and analysing data from a large‐scale study on Framingham Offspring relating brain structure to cognitive function
    Joseph M. Massaro, Ralph B. D’Agostino, LISA M. SULLIVAN, Alexa Beiser, Charles S DeCarli, Rhoda Au, Merrill F. Elias, Philip A. Wolf · 2004 · Statistics in Medicine
49. Predicting Progression of Alzheimer’s Disease Using Ordinal Regression
    Orla Doyle, Eric Westman, André F. Marquand, Patrizia Mecocci, Bruno J. Vellas, Magda Tsolaki, Iwona Kłoszewska, Hilkka S. Soininen, Simon Lovestone, Steven Williams et al. · 2014 · PLoS ONE
50. ApoE4 effects on automated diagnostic classifiers for mild cognitive impairment and Alzheimer's disease
    Liana G. Apostolova, Kristy Hwang, Omid Kohannim A, David Avila, David A. Elashoff, Clifford R. Jack, Leslie M. J. Shaw, John Q. Trojanowski, Michael Walter Weiner, Paul M. Thompson · 2014 · NeuroImage Clinical
51. Domain Transfer Learning for MCI Conversion Prediction
    Bo Cheng, Daoqiang Zhang, Dinggang G. Shen · 2012 · Lecture notes in computer science
52. Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease
    Huang, Meiyan, Yang, Wei, Feng, Qianjin, Chen, Wufan, The Alzheimer’s Disease Neuroimaging Initiative, Weiner, Michael W., Aisen, Paul, Petersen, Ronald, Jack, Clifford R., Jagust, William et al. · 2017 · Scientific Reports
53. A Comparison of the Addenbrooke's Cognitive Examination (ACE), Conventional Neuropsychological Assessment, and Simple MRI-Based Medial Temporal Lobe Evaluation in the Early Diagnosis of Alzheimer's Disease
    Clare J. Galton, Sharon Erzinçlioğlu, Barbara Jacquelyn Sahakian, Nagui M. Antoun, John R. Hodges · 2005 · Cognitive and Behavioral Neurology
54. Searching for Primary Predictors of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease: A Multivariate Follow-Up Study
    M. E. López, A. Turrero, P. Cuesta, D. López-Sanz, R. Bruña, A. Marcos, P. Gil, M. Yus, A. Barabash, J. Cabranes et al. · 2016 · Journal of Alzheimer's Disease
55. A support vector machine-based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imaging
    Zhuqing Long, Bin Jing, Huagang Yan, J Z Dong, Han Liu, Xiao Mo, Ying Han, Jing Li · 2016 · Neuroscience
56. Single-Domain Amnestic Mild Cognitive Impairment Identified by Cluster Analysis Predicts Alzheimer's Disease in the European Prospective DESCRIPA Study
    Damian, Marinella, Hausner, Lucrezia, Jekel, Katrin, Richter, Melany, Froelich, Lutz, Almkvist, Ove, Boada, Merce, Bullock, Roger, De Deyn, Peter Paul, Frisoni, Giovanni B. et al. · 2013 · Dementia and Geriatric Cognitive Disorders
57. Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer’s Disease and Mild Cognitive Impairment
    Mohammed Goryawala, Qi Zhou, Warren Barker, David Loewenstein, Ranjan Duara, Malek Adjouadi · 2015 · Computational Intelligence and Neuroscience
58. Multimodal Prediction of Dementia with up to 10 Years Follow Up: The Gothenburg MCI Study
    Carl Eckerström, Erik Olsson, Niklas Klasson, Josef Berge, Arto Nordlund, Maria Bjerke, Anders Wallin · 2015 · Journal of Alzheimer s Disease
59. [11C]PIB, [18F]FDG and MR imaging in patients with mild cognitive impairment
    Anna Brück, Jere R. Virta, Jaana Koivunen, Juha R. Koikkalainen, Noora M. Scheinin, Hans Ylermi Matias Helenius, Kjell Någren, Semi Helin, Riitta K Parkkola, Matti H. Viitanen et al. · 2013 · European Journal of Nuclear Medicine and Molecular Imaging
60. Rates of diagnostic transition and cognitive change at 18-month follow-up among 1,112 participants in the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing (AIBL)
    Kathryn A. Ellis, Cassandra E. I. Szoeke, Ashley Ian Bush, David Darby, Petra L. Graham, Nicola T. Lautenschlager, S. Lance Macaulay, Ralph Nigel Martins, Paul T. Maruff, Colin Louis Masters et al. · 2013 · International Psychogeriatrics
61. Whole brain atrophy rate predicts progression from MCI to Alzheimer’s disease
    Gabriela Spulber, Eini I. Niskanen, Stuart W. S. MacDonald, Oded Smilovici, Kewei Chen, Eric M. Reiman, Anne M. Jauhiainen, Merja Hallikainen, Susanna Tervo, Lars‐Olof Wahlund et al. · 2008 · Neurobiology of Aging
62. Usefulness of data from magnetic resonance imaging to improve prediction of dementia: population based cohort study
    Blossom C. M. Stephan, Christophe Tzourio, Sophie Auriacombe, Hélène Amieva, Carole Dufouil, Annick Alpérovitch, Tobias Kurth · 2015 · BMJ
63. Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using MRI and Structural Network Features
    Rizhen Wei, Chuhan Li, Noa Fogelson, Ling Li · 2016 · Frontiers in Aging Neuroscience
64. Cognition, Brain Atrophy, and Cerebrospinal Fluid Biomarkers Changes from Preclinical to Dementia Stage of Alzheimer's Disease and the Influence of Apolipoprotein E
    Thomas Adi Kurnia Susanto, Alzheimer’s Disease Neuroimaging Initiative, Emmanuel Peng Kiat Pua, Juan Helen Zhou · 2015 · Journal of Alzheimer s Disease
65. Thickness network features for prognostic applications in dementia
    Pradeep Reddy Raamana, Michael Walter Weiner, Lei Wang, Mirza Faisal Beg · 2014 · Neurobiology of Aging
66. The Value of PET in Mild Cognitive Impairment, Typical and Atypical/Unclear Dementias: A Retrospective Memory Clinic Study
    Robert Jr Laforce, James Patrick Buteau, Nancy Paquet, Louis Verret, Michèle Houde, Rémi W. Bouchard · 2010 · American Journal of Alzheimer s Disease & Other Dementias®
67. Prognostic classification of mild cognitive impairment and Alzheimer׳s disease: MRI independent component analysis
    Auriel A. Willette, Vince D. Calhoun, Josephine Mary Egan, Dimitrios Kapogiannis · 2014 · Psychiatry Research Neuroimaging
68. Allocentric Spatial Memory Testing Predicts Conversion from Mild Cognitive Impairment to Dementia: An Initial Proof-of-Concept Study
    Ruth A. Wood, Kuven K Moodley, Colin Lever, Ludovico Minati, Dennis Chan · 2016 · Frontiers in Neurology
69. The Value of Hippocampal and Temporal Horn Volumes and Rates of Change in Predicting Future Conversion to AD
    Kate Eloise Macdonald, Jonathan W. Bartlett, Kelvin K. Leung, Sebastien Ourselin A, Josephine Barnes · 2012 · Alzheimer Disease & Associated Disorders
70. White matter signal abnormality quality differentiates mild cognitive impairment that converts to Alzheimer's disease from nonconverters
    Emily Lindemer, David H. Salat, Eric Edward Smith, Khoa Nguyen, Bruce R. Fischl, Douglas N. Greve · 2015 · Neurobiology of Aging
71. CSF Aβ42, Tau and Phosphorylated Tau Correlate with Medial Temporal Lobe Atrophy
    Herukka, Sanna-Kaisa, Pennanen, Corina, Soininen, Hilkka, Pirttilä, Tuula · 2008 · Journal of Alzheimer's Disease
72. Is radiological evaluation as good as computer-based volumetry to assess hippocampal atrophy in Alzheimer’s disease?
    And the Alzheimer’s Disease Neuroimaging Initiative, Claire Boutet, Marie Chupin A, Olivier Colliot, Marie Sarazin, Gurkan Mutlu, Aurélie Drier, Audrey Pellot, Didier Dormont, Stéphane Lehéricy · 2012 · Neuroradiology
73. Head-to-Head Comparison of Two Popular Cortical Thickness Extraction Algorithms: A Cross-Sectional and Longitudinal Study
    Alberto Redolfi, David Manset, Frederik Barkhof, Lars‐Olof Wahlund, Tristan Glatard, Jean‐François Mangin, Giovanni Battista Frisoni · 2015 · PLoS ONE
74. Visual ratings of atrophy in MCI: prediction of conversion and relationship with CSF biomarkers
    Manja Lehmann, Esther Koedam, Josephine Barnes, Jonathan W. Bartlett, Frederik Barkhof, Mike Peter Wattjes, Jonathan M. Schott, Philip Scheltens, Nick C. Fox · 2012 · Neurobiology of Aging
75. Brain volume loss in MCI predicts dementia
    Deniz Erten‐Lyons, Diane B. Howieson, Milar M. Moore, Joseph F. Quinn, Gary J. Sexton, Lisa C. Silbert, Jeffrey Alan Kaye · 2006 · Neurology
76. Longer-Term Investigation of the Value of 18F-FDG-PET and Magnetic Resonance Imaging for Predicting the Conversion of Mild Cognitive Impairment to Alzheimer’s Disease: A Multicenter Study
    Yoshitaka Inui, SEAD-J Study Group, Kengo Ito, Takashi Kato · 2017 · Journal of Alzheimer s Disease
77. Baseline Shape Diffeomorphometry Patterns of Subcortical and Ventricular Structures in Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease
    Xiaoying Tang, Alzheimer’s Disease Neuroimaging Initiative, Dominic Holland, Anders Martin Dale, Laurent Younes B, Michael I. Miller · 2015 · Journal of Alzheimer s Disease
78. Depressive Symptoms and Small Hippocampal Volume Accelerate the Progression to Dementia from Mild Cognitive Impairment
    Jun Ku Chung, Alzheimer’s Disease Neuroimaging Initiative, Eric Plitman, Shinichiro Nakajima, M. Mallar Chakravarty, Fernando Caravaggio, Hiroyoshi Takeuchi, Philip Gerretsen, Yusuke Iwata, Raihaan Patel et al. · 2015 · Journal of Alzheimer s Disease
79. Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer’s Disease
    Biao Jie, Daoqiang Zhang, Bo Cheng, Dinggang G. Shen · 2013 · Lecture notes in computer science
80. Novel Cortical Thickness Pattern for Accurate Detection of Alzheimer’s Disease
    Weihao Zheng, Zhijun Yao, Bin Hu, Xiang Gao, Hanshu Cai, Philip T. Moore, and for the Alzheimer’s Disease Neuroimaging Initiative · 2015 · Journal of Alzheimer s Disease
81. Hierarchical Interactions Model for Predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) Conversion
    Han Li, Yashu Liu, Pinghua Gong, Changshui Zhang, Jieping Ye, Alzheimer’s Disease Neuroimaging Initiative · 2014 · PLoS ONE
82. An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients
    Yaman Aksu, David Jonathan Miller, George Kesidis, Don C. Bigler, Qing X. Yang · 2011 · PLoS ONE
83. BFLCRM: A Bayesian functional linear Cox regression model for predicting time to conversion to Alzheimer’s disease
    Eunjee Lee, Hongtu Zhu B, Dehan Kong, Yalin Wang, Kelly S. Giovanello, Joseph G. Ibrahim, Alzheimer’s Disease Neuroimaging Initiative · 2015 · The Annals of Applied Statistics
84. Improved reliability of hippocampal atrophy rate measurement in mild cognitive impairment using fluid registration
    Laura A. van de Pol, Josephine Barnes, Rachael I. Scahill, Chris D Frost, Emma B Lewis, Richard G. Boyes, Ronald A. van Schijndel, Philip Scheltens, Nick C. Fox, Frederik Barkhof · 2006 · NeuroImage
85. CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade
    Xianfeng Yang, Mingzhen Tan, Anqi Qiu · 2012 · PLoS ONE
86. Five-year retrospective changes in hippocampal atrophy and cognitive screening test performances in very mild Alzheimer's disease: the Tajiri Project
    Satoshi Yamaguchi, Kenichi Meguro, Masako Shimada, Junichi Ishizaki, Atsushi Yamadori, Yasuyoshi Sekita · 2002 · Neuroradiology
87. Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer’s Disease in AIBL Data: Group and Individual Analyses
    Vahab Youssofzadeh, Bernadette McGuinness, Liam Maguire, KongFatt Wong‐Lin · 2017 · Frontiers in Human Neuroscience
88. Predicting Alzheimer's disease development: a comparison of cognitive criteria and associated neuroimaging biomarkers
    Brandy L. Callahan, Joel Ramirez, Courtney Berezuk, Simon Duchesne, Sandra E. Black, Alzheimer’s Disease Neuroimaging Initiative · 2015 · Alzheimer s Research & Therapy
89. Dynamics of brain structure and cognitive function in the Alzheimer's disease neuroimaging initiative
    Xiaowei Song, Arnold Mitnitski, Ningnannan Zhang, Wei Chen, Kenneth J. Rockwood · 2012 · Journal of Neurology Neurosurgery & Psychiatry
90. Enriching Amnestic Mild Cognitive Impairment Populations for Clinical Trials: Optimal Combination of Biomarkers to Predict Conversion to Dementia
    Peng Yu, Alzheimer’s Disease Neuroimaging Initiative, Robert A. Dean, Stephen David Hall, Yuan Qi, Gopalan Sethuraman, Brian A. Willis, Eric Siemers, Ferenc Martényi, Johannes T. Tauscher et al. · 2012 · Journal of Alzheimer s Disease
91. Generalizability of the Disease State Index Prediction Model for Identifying Patients Progressing from Mild Cognitive Impairment to Alzheimer's Disease
    Anette Hall, Alzheimer’s Disease Neuroimaging Initiative, Miguel Ángel Muñoz‐Ruiz, Jussi Mattila, Juha R. Koikkalainen, Magda Tsolaki, Patrizia Mecocci, Iwona Kłoszewska, Bruno J. Vellas, Simon Lovestone et al. · 2015 · Journal of Alzheimer s Disease
92. A Nonparametric Approach for Mild Cognitive Impairment to AD Conversion Prediction: Results on Longitudinal Data
    Sidra Minhas, Aasia Khanum, Farhan Riaz, Atif Alvi, Shoab Ahmed Khan · 2016 · IEEE Journal of Biomedical and Health Informatics
93. Comparison of feature representations in MRI-based MCI-to-AD conversion prediction
    Marta Gómez-Sancho, Jussi Tohka, Vanessa Gómez-Verdejo, for the Alzheimer’s Disease Neuroimaging Initiative · 2017 · Magnetic Resonance Imaging
94. Early Prediction of Alzheimer’s Disease Using Null Longitudinal Model-Based Classifiers
    Giovana Gavidia‐Bovadilla, Samir Kanaan-Izquierdo, María Mataró, Alexandre Perera-Lluna, Alzheimer’s Disease Neuroimaging Initiative · 2017 · PLoS ONE
95. MRI measures and progression of cognitive decline in nondemented elderly attending a memory clinic
    Wiesje M. van der Flier, Annelies E. van der Vlies, Annelies W. E. Weverling‐Rijnsburger, Nel L. de Boer, Faiza Behloul, Eduard L. E. M. Bollen, Rudi G. J. Westendorp, Mark A. van Buchem, Huub A. M. Middelkoop · 2005 · International Journal of Geriatric Psychiatry
96. Minimal Atrophy of the Entorhinal Cortex and Hippocampus: Progression of Cognitive Impairment
    Daniel Varón, David Loewenstein, Elizabeth Potter, Maria T. Greig, Joscelyn Agrón, Qian Shen, Weizhao Zhao, Maria Celeste M. Ramirez, Isael Santos, Warren Barker et al. · 2011 · Dementia and Geriatric Cognitive Disorders
97. Application of a MRI based index to longitudinal atrophy change in Alzheimer disease, mild cognitive impairment and healthy older individuals in the AddNeuroMed cohort
    Aguilar, Carlos, Muehlboeck, J-Sebastian, Mecocci, Patrizia, Vellas, Bruno, Tsolaki, Magda, Kloszewska, Iwona, Soininen, Hilkka, Lovestone, Simon, Wahlund, Lars-Olof, Simmons, Andrew et al. · 2014 · Frontiers in Aging Neuroscience
98. Predicting AD Conversion: Comparison between Prodromal AD Guidelines and Computer Assisted PredictAD Tool
    Yawu Liu, Jussi Mattila, Miguel Ángel Muñoz‐Ruiz, Teemu I. Paajanen, Juha R. Koikkalainen, Mark van Gils, Sanna‐Kaisa Herukka, Gunhild Waldemar, Jyrki M. P. Lötjönen, Hilkka S. Soininen et al. · 2013 · PLoS ONE
99. Brain region’s relative proximity as marker for Alzheimer’s disease based on structural MRI
    Alzheimer’s Disease Neuroimaging Initiative, Lene Lillemark, Lauge Sørensen, Akshay Pai, Erik B. Dam, Mads Nielsen · 2014 · BMC Medical Imaging
100. A six-month longitudinal evaluation significantly improves accuracy of predicting incipient Alzheimer's disease in mild cognitive impairment
     Asim M. Mubeen, Ali Asaei, Alvin H. Bachman, John J. Sidtis, Babak Assai Ardekani · 2017 · Journal of Neuroradiology
101. Asynchronous regional brain volume losses in presymptomatic to moderate AD
     Jeffrey Alan Kaye, Milar M. Moore, A. Dame, Joseph F. Quinn, Richard M. Camicioli, Diane B. Howieson, E. Corbridge, B. Care, Gary M. Nesbit, Gary J. Sexton · 2005 · Journal of Alzheimer s Disease
102. Visual rating and volumetric measurement of medial temporal atrophy in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort: baseline diagnosis and the prediction of MCI outcome
     Daniel Varón, Warren Barker, David Loewenstein, Maria T. Greig, Adriana Patricia Bohórquez Peñaranda, Isael Santos, Qian Shen, Molly Harper, Tatiana Vallejo-Luces, Ranjan Duara et al. · 2014 · International Journal of Geriatric Psychiatry
103. Apolipoprotein E ε4 Allele Is Associated with Increased Atrophy in Progressive Mild Cognitive Impairment: A Voxel-Based Morphometric Study
     Anne Hämäläinen, Marta Grau-Olivares, Susanna Tervo, Eini I. Niskanen, Corina Pennanen, J. Huuskonen, Miia Kivipelto, Tuomo Hänninen, Mia Tapiola, Matti Vanhanen et al. · 2008 · Neurodegenerative Diseases
104. Atrophy of amygdala and abnormal memory-related alpha oscillations over posterior cingulate predict conversion to Alzheimer’s disease
     Laura Prieto del Val, José Luis Cantero, Mercedes Atienza · 2016 · Scientific Reports
105. A Subset of Cerebrospinal Fluid Proteins from a Multi-Analyte Panel Associated with Brain Atrophy, Disease Classification and Prediction in Alzheimer’s Disease
     Wasim Khan, Carlos Aguilar, Steven John Kiddle, Orla Doyle, Madhav Thambisetty, Sebastian Muehlboeck, Martina Sattlecker, Stephen Newhouse, Simon Lovestone, Richard Dobson et al. · 2015 · PLoS ONE
106. Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis
     the Alzheimer’s Disease Neuroimaging Initiative, Manhua Liu, Daoqiang Zhang, Dinggang G. Shen · 2013 · Neuroinformatics
107. Coevolution of brain structures in amnestic mild cognitive impairment
     Owen Thomas Carmichael, Donald G. McLaren, Douglas Tommet, Dan Mungas, Richard Norman Jones · 2012 · NeuroImage
108. Neural and behavioral substrates of disorientation in mild cognitive impairment and Alzheimer's disease
     Amber Sousa, Jesús J. Gomar, Terry E. Goldberg, Alzheimer’s Disease Neuroimaging Initiative · 2015 · Alzheimer s & Dementia Translational Research & Clinical Interventions
109. Identify the Atrophy of Alzheimer’s Disease, Mild Cognitive Impairment and Normal Aging Using Morphometric MRI Analysis
     Xiangyu Ma, Zhaoxia Li, Bin Jing, Han Liu, Dan Li, Jing Li, the Alzheimer’s Disease Neuroimaging Initiative · 2016 · Frontiers in Aging Neuroscience
110. Amyloid-independent atrophy patterns predict time to progression to dementia in mild cognitive impairment
     Mara ten Kate, Frederik Barkhof, Pieter Jelle Visser, Charlotte Elisabeth Teunissen, Philip Scheltens, Wiesje M. van der Flier, Betty Marije Tijms · 2017 · Alzheimer s Research & Therapy
111. Fully Automated Atlas-Based Hippocampal Volumetry for Detection of Alzheimer's Disease in a Memory Clinic Setting
     Per Suppa, Ulrich Anker, Lothar Spies, Irene Bopp-Kistler, Brigitte Rüegger‐Frey, Richard Klaghofer, Carola Gocke, Harald Juergen Hampel, Sacha Beck, Ralph Buchert · 2015 · Journal of Alzheimer s Disease
112. Hippocampal Subfield Atrophies in Converted and Not-Converted Mild Cognitive Impairments Patients by a Markov Random Fields Algorithm
     Roberta Vasta, Antonio Augimeri, Antonio Cerasa, Salvatore Lo Nigro, Vera Gramigna, Matteo Nonnis, Federico Rocca, Giancarlo Zito, Aldo Quattrone, for the Alzheimer's Disease Neuroimaging · 2016 · Current Alzheimer Research
113. Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images
     Shengwen Guo, Chunren Lai, Congling Wu, Guiyin Cen, The Alzheimer's Disease Neuroimaging Initiative · 2017 · Frontiers in Aging Neuroscience
114. Contourlet-based hippocampal magnetic resonance imaging texture features for multivariant classification and prediction of Alzheimer’s disease
     Ni Gao, Lixin Tao, Jian Huang, Feng Zhang, Xia Li, Finbarr O’Sullivan, Sipeng Chen, Si-Jia Tian, Gehendra Mahara, Yanxia Luo et al. · 2018 · Metabolic Brain Disease
115. Fully Automated Atlas-Based Hippocampus Volumetry for Clinical Routine: Validation in Subjects with Mild Cognitive Impairment from the ADNI Cohort
     Per Suppa, and Alzheimer’s Disease Neuroimaging Initiative, Harald Juergen Hampel, Lothar Spies, Jochen B. Fiebach, Bruno Dubois, Ralph Buchert · 2015 · Journal of Alzheimer s Disease
116. Varying Strength of Cognitive Markers and Biomarkers to Predict Conversion and Cognitive Decline in an Early-Stage-Enriched Mild Cognitive Impairment Sample
     Simone C. Egli, Daniela I. Hirni, Kirsten I. Taylor, Manfred Berres, Axel Regeniter, Achim Gass, Andreas Urs Monsch, Marc A. Sollberger · 2015 · Journal of Alzheimer s Disease
117. The role of MRI in the early diagnosis of Alzheimer’s disease or other dementias in persons with mild cognitive impairment (MCI)
     Graziella Filippini, Giovanni Casazza, Alessandro-Giacco Bellatorre, Chiara Lista, Piergiorgio Duca, Deirdre Beecher, Giorgio Costantino, Chiara Falcone, Giovanna Zamboni, Enrica Cavedo et al. · 2012 · Cochrane Database of Systematic Reviews
118. Is there an MCI reversion to cognitively normal? Analysis of Alzheimer's disease biomarkers profiles
     Moon Ho Park, Changsu Han · 2014 · International Psychogeriatrics
119. Discriminating Alzheimer's disease progression using a new hippocampal marker from T1‐weighted MRI: The local surface roughness
     Carlos A. Platero, María Eugenia López, M. Carmen Tobar, Miguel Yus, Fernando Maestú · 2018 · Human Brain Mapping
120. Sensitivity of Different MRI-Techniques to Assess Gray Matter Atrophy Patterns in Alzheimer’s Disease is Region-Specific
     Lies Clerx, Heidi I.L. Jacobs, Saartje Burgmans, E. H. B. M. Gronenschild, Harry B. M. Uylings, Carmen Echávarri, Pieter Jelle Visser, Frans R.J. Verhey, Pauline Aalten · 2013 · Current Alzheimer Research
121. Improved Diagnostic Multimodal Biomarkers for Alzheimer’s Disease and Mild Cognitive Impairment
     Antonio Martínez‐Torteya, Víctor Treviño, José G. Tamez‐Peña · 2015 · BioMed Research International
122. Cognitive impairments associated with medial temporal atrophy and white matter hyperintensities: an MRI study in memory clinic patients
     Eduard J. Overdorp, Roy P. C. Kessels, Jurgen A.H.R. Claassen, Joukje M. Oosterman · 2014 · Frontiers in Aging Neuroscience
123. Correlations between atrophy of the entorhinal cortex and cognitive function in patients with A lzheimer's disease and mild cognitive impairment
     Xudong Li, Jinsong Jiao, Satoru Shimizu, Itsuki Jibiki, Kenichiro Watanabe, Takashi Kubota · 2012 · Psychiatry and Clinical Neurosciences
124. MRI identifies MCI subtypes: vascular versus neurodegenerative
     John Stirling Meyer, Minh Quach, John Albert Thornby, Munir H. Chowdhury, Juebin Huang · 2004 · Journal of the Neurological Sciences
125. Multimodal Discrimination of Alzheimer’s Disease Based on Regional Cortical Atrophy and Hypometabolism
     Hyuk Jin Yun, Kichang Kwak, Jong‐Min Lee, Alzheimer’s Disease Neuroimaging Initiative · 2015 · PLoS ONE
126. Predictors of Progression from Mild Cognitive Impairment to Dementia in the Placebo-Arm of a Clinical Trial Population
     Niels D. Prins, Wiesje M. van der Flier, H. Robert Brashear, Dirk L. Knol, Laura A. van de Pol, Frederik Barkhof, Philip Scheltens · 2013 · Journal of Alzheimer s Disease
127. Predicting the conversion of mild cognitive impairment to Alzheimer's disease based on the volumetric measurements of the selected brain structures in magnetic resonance imaging
     Marta Nesteruk, Tomasz Nesteruk, Maria Styczyńska, Anna K. Barczak, Monika Mandecka, Jerzy Michał Walecki, Maria Barcikowska · 2015 · Neurologia i Neurochirurgia Polska
128. Dimensionality reduced cortical features and their use in predicting longitudinal changes in Alzheimer's disease
     Hyunjin Park, Jin-Ju Yang, Jongbum Seo, Jong‐Min Lee · 2013 · Neuroscience Letters
129. Predicting Progression from Cognitive Impairment to Alzheimer’s Disease with the Disease State Index
     Anette Hall, Jussi Mattila, Juha R. Koikkalainen, Jyrki M. P. Lötjönen, Robin Wolz, Philip Scheltens, Giovanni Battista Frisoni, Magda Tsolaki, Flavio Mariano Nobili, Yvonne Freund‐Levi et al. · 2015 · Current Alzheimer Research
130. Quantitative Evaluation of Disease Progression in a Longitudinal Mild Cognitive Impairment Cohort
     Hilkka Liedes, Alzheimer’s Disease Neuroimaging Initiative, Jussi Mattila, Mark van Gils, Juha R. Koikkalainen, Hilkka S. Soininen, Jyrki M. P. Lötjönen · 2014 · Journal of Alzheimer s Disease
131. Alterations in Regional Brain Volume and Individual MRI-Guided Perfusion in Normal Control, Stable Mild Cognitive Impairment, and MCI-AD Converter
     Huali Wang, Edward J. Golob, Alberto Bert, Ke Nie, Yong Chu, Malcolm B. Dick, Mark A. Mandelkern, Min‐Ying Su · 2008 · Journal of Geriatric Psychiatry and Neurology
132. ON THE DISTRIBUTION OF THE UNPAIRED t-STATISTIC WITH PAIRED DATA
     Michael A. Proschan · 1996 · Statistics in Medicine
133. An Efficient Approach for Differentiating Alzheimer's Disease from Normal Elderly Based on Multicenter MRI Using Gray-Level Invariant Features
     Muwei Li, Kenichi Oishi, Xiaohai He, Yuanyuan Qin, Fei Gao, Susumu Mori, Alzheimer’s Disease Neuroimaging Initiative · 2014 · PLoS ONE
134. Alzheimer's disease progression model based on integrated biomarkers and clinical measures
     Alzheimer’s Disease Neuroimaging Initiative, Yue Qiu, Liang Li, Tianyan Zhou, Wei Lü · 2014 · Acta Pharmacologica Sinica
135. The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
     Dennis Chan, Laura Marie Gallaher, Kuven K Moodley, Ludovico Minati, Neil Burgess, Tom Hartley · 2016 · Journal of Visualized Experiments
136. Automatic temporal lobe atrophy assessment in prodromal AD: Data from the DESCRIPA study
     Chincarini, Andrea, Bosco, Paolo, Gemme, Gianluca, Esposito, Mario, Rei, Luca, Squarcia, Sandro, Bellotti, Roberto, Minthon, Lennart, Frisoni, Giovanni, Scheltens, Philip et al. · 2014 · Alzheimer's & Dementia
137. Classifying late-onset dementia with MRI: Is arteriosclerotic brain degeneration the most common cause of Alzheimer′s syndrome?
     Henry Feugeas · 2008 · Clinical Interventions in Aging
138. Multi-Task Linear Programming Discriminant Analysis for the Identification of Progressive MCI Individuals
     Guan Yu, Yufeng Liu, Kim‐Han Thung, Dinggang G. Shen · 2014 · PLoS ONE
139. Abnormal global functional network connectivity and its relationship to medial temporal atrophy in patients with amnestic mild cognitive impairment
     Can Sheng, Mingrui Xia, Haikuo Yu, Yue Ming Huang, Yan Lu, Fang Liu, Yong He A, Ying Han · 2017 · PLoS ONE
140. A comparison of measurement methods of hippocampal atrophy rate for predicting Alzheimer's dementia in the Aberdeen Birth Cohort of 1936
     Arnab K. Rana, Anca‐Larisa Sandu, Kenna L. Robertson, Christopher J. McNeil, Lawrence J. Whalley, Roger T. Staff, Alison D. Murray · 2016 · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
141. Combining Structural Brain Changes Improves the Prediction of Alzheimer’s Disease and Mild Cognitive Impairment
     Ningnannan Zhang, Xiaowei Song, Yunting Zhang · 2012 · Dementia and Geriatric Cognitive Disorders
142. Quantitative SPECT leads to improved performance in discrimination tasks related to prodromal Alzheimer's disease.
     Georges El Fakhri, Marie Foley Kijewski, Marilyn Albert, Keith A. Johnson, Steven C. Moore · 2004 · PubMed
143. Combined use of biochemical and volumetric biomarkers to assess the risk of conversion of mild cognitive impairment to Alzheimer’s disease
     Marta Nesteruk, Tomasz Nesteruk, Maria Styczyńska, Monika Mandecka, Anna K. Barczak, Maria Barcikowska · 2016 · Folia Neuropathologica
144. Combining Cognitive, Genetic, and Structural Neuroimaging Markers to Identify Individuals with Increased Dementia Risk
     Nicola Maria Payton, Grégoria Kalpouzos, Debora Rizzuto, Laura Fratiglioni, Miia Kivipelto, Lars Bäckman, Erika J. Laukka · 2018 · Journal of Alzheimer s Disease
145. Critical Comparison of Different Biomarkers for Alzheimer’s Disease in a Clinical Setting
     David Weise, Solveig Tiepolt, Carolin Awissus, Karl‐Titus Hoffmann, Donald Lobsien, Thorsten Kaiser, Henryk Barthel, Osama Sabri, Hermann‐Josef Gertz · 2015 · Journal of Alzheimer s Disease
146. Fuzzy Computer-Aided Alzheimer's Disease Diagnosis Based on MRI Data
     Igor Krashenyi, Javier Ramı́rez, Anton Oleksandrovych Popov, J. M. Górriz · 2016 · Current Alzheimer Research
147. Memory complaints and increased rates of brain atrophy: risk factors for mild cognitive impairment and Alzheimer's disease
     Hilary Anne Archer, Jonathan Kennedy, Josephine Barnes, Tracey Pepple, Richard G. Boyes, Katy Randlesome, Shona Clegg, Kelvin K. Leung, Sebastien Ourselin A, Chris D Frost et al. · 2010 · International Journal of Geriatric Psychiatry
148. Integrating Biomarkers for Underlying Alzheimer’s Disease in Mild Cognitive Impairment in Daily Practice: Comparison of a Clinical Decision Support System with Individual Biomarkers
     Hanneke F. M. Rhodius‐Meester, Juha R. Koikkalainen, Jussi Mattila, Charlotte Elisabeth Teunissen, Frederik Barkhof, Afina Willemina Lemstra, Philip Scheltens, Jyrki M. P. Lötjönen, Wiesje M. van der Flier · 2016 · Journal of Alzheimer s Disease
149. Visual Evaluation of Medial Temporal Lobe Atrophy as a Clinical Marker of Conversion from Mild Cognitive Impairment to Dementia and for Predicting Progression in Patients with Mild Cognitive Impairment and Mild Alzheimer's Disease
     Karin Persson, Maria Lage Barca, Rannveig Sakshaug Eldholm, Lena Cavallin, Jūratė Šaltytė Benth, Geir Selbæk, Anne Brækhus, Ingvild Tina Saltvedt, Knut Engedal · 2017 · Dementia and Geriatric Cognitive Disorders
150. Increasing the Diagnostic Accuracy of Medial Temporal Lobe Atrophy in Alzheimer's Disease
     Heidi I.L. Jacobs, Martin P.J. van Boxtel, Wim Van der Elst, Saartje Burgmans, Floortje Smeets, E. H. B. M. Gronenschild, Frans R.J. Verhey, Harry B. M. Uylings, Jelle Jolles · 2011 · Journal of Alzheimer s Disease
151. Association between Global Brain Volume and the Rate of Cognitive Change in Elderly Humans without Dementia
     Anke Hensel, Henrike Wolf, A. Busse, Thomas Arendt, H.-J. Gertz · 2005 · Dementia and Geriatric Cognitive Disorders
152. MRI Abnormalities Associated with Mild Cognitive Impairments of Vascular (VMCI) Versus Neurodegenerative (NMCI) Types Prodromal for Vascular and Alzheimers Dementias
     John Stirling Meyer, Juebin Huang, Munir H. Chowdhury · 2005 · Current Alzheimer Research
153. Relationship of Hippocampal Volume to Amyloid Burden across Diagnostic Stages of Alzheimer's Disease
     Paula T. Trzepacz, Helen M. Hochstetler, Peng Yu, Peter Castelluccio, Michael M. Witte, Grazia Dell’Agnello, Elisabeth K. Degenhardt, Alzheimer’s Disease Neuroimaging Initiative · 2015 · Dementia and Geriatric Cognitive Disorders
154. Prediction of Alzheimer’s Disease in Amnestic Mild Cognitive Impairment Subtypes: Stratification Based on Imaging Biomarkers
     Kenichi Ota, Naoya Oishi, Kengo Ito, Hidenao Fukuyama, and SEAD-J Study Group, Alzheimer’s Disease Neuroimaging Initiative · 2016 · Journal of Alzheimer s Disease
155. Medial temporal lobe atrophy scores translated to clinical practice: Editorial comment on ‘Influence of age, disease onset and ApoE4 on visual medial temporal lobe atrophy cut‐offs'
     Laura A. van de Pol, Philip Scheltens · 2013 · Journal of Internal Medicine
156. Comparison of Regional Gray Matter Atrophy, White Matter Alteration, and Glucose Metabolism as a Predictor of the Conversion to Alzheimer's Disease in Mild Cognitive Impairment
     Bo Kyung Sohn, Dahyun Yi, Eun Hyun Seo, Young Min Choe, Jee Wook Kim, Shin Gyeom Kim, Hyo Jung Choi, Min Soo Byun, Jin Hyeong Jhoo, Jong Inn Woo et al. · 2015 · Journal of Korean Medical Science
157. Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference
     Marcela Ines Cespedes, Jürgen Fripp, James M. McGree, Christopher Drovandi, Kerrie Lee Mengersen, James D. Doecke · 2017 · BMJ Open
158. Predicting Imminent Progression to Clinically Significant Memory Decline Using Volumetric MRI and FDG PET
     Cynthia M. Stonnington, Yinghua Chen, Cary R. Savage, Wendy Lee, Robert J. Bauer III, Sameen Sharieff, Pradeep Thiyyagura, Gene E. Alexander, Richard J. Caselli, Dona E.C. Locke et al. · 2018 · Journal of Alzheimer s Disease
159. Alzheimer Disease Biomarkers as Outcome Measures for Clinical Trials in MCI
     Anna Caroli, Annapaola Prestia, Sara Wade, Kewei Chen, Napatkamon Ayutyanont, Susan M. Landau, Cindee M. Madison, Cathleen Haense, Karl Herholz, Eric M. Reiman et al. · 2014 · Alzheimer Disease & Associated Disorders
160. Hippocampal volume and CDR-SB can predict conversion to dementia in MCI patients
     João Guilherme Fiorani Borgio, Leonardo Baldaçara, Walter André dos Santos Moraes, Acioly L.T. Lacerda, Maria Beatriz Marcondes Macedo Montaño, Andrea Parolin Jackowski, Sergio Brasil Tufik, Luiz Roberto Ramos, Rodrigo A. Bressan · 2012 · Arquivos de Neuro-Psiquiatria
161. The National Institute on Aging and Alzheimer's Association research framework: A commentary from the Cochrane Dementia and Cognitive Improvement Group
     Jenny M. McCleery, Leon A Flicker, Edo Richard, Terence J. Quinn · 2019 · Alzheimer s & Dementia
162. A ‘Comprehensive Visual Rating Scale’ for predicting progression to dementia in patients with mild cognitive impairment
     Jae‐Won Jang, Jeong Hoon Park, Seongheon Kim, Young Ho Park, Jung‐Min Pyun, Jae‐Sung Lim, Young‐Ho Kim, Young Chul Youn, SangYun Kim, the Alzheimer’s Disease Neuroimaging Initiative · 2018 · PLoS ONE
163. Prognosis of mild cognitive impairment syndrome: Data from a two-year clinical follow-up study
     Gavrilova Si, Ya. B. Fedorova, Roshchina If, Г. И. Коровайцева · 2008 · Neuroscience and Behavioral Physiology
164. Understanding early dementia: EEG, MRI, SPECT and memory evaluation
     Davide Vito Moretti · 2015 · Translational Neuroscience
165. Combination of Structural MRI and FDG-PET of the Brain Improves Diagnostic Accuracy in Newly Manifested Cognitive Impairment in Geriatric Inpatients
     Kerstin Ritter, Catharina Lange, Martin Weygandt, Anja Maeurer, Anna Roberts, Melanie Estrella, Per Suppa, Lothar Spies, Vikas Prasad, Ingo Günter Steffen et al. · 2016 · Journal of Alzheimer s Disease
166. Comparación de la capacidad diagnóstica precoz de los biomarcadores de la enfermedad de Alzheimer en resonancia magnética cerebral y líquido cefalorraquídeo
     J.A. Monge-Argilés, M.A. Blanco Cantó, Carlos Leiva‐Salinas, Lucía Flors, Carlos Muñoz Ruiz, José Sánchez Payá, Ruth Gasparini‐Berenguer, Carlos Leiva Santana · 2013 · Neurología
167. Single time point high-dimensional morphometry in Alzheimer's disease: group statistics on longitudinally acquired data
     Simon Duchesne, Fernando Valdivia, Abderazzak Mouiha, Nicolas Robitaille · 2014 · Neurobiology of Aging
168. The Relational and Item-Specific Encoding Task in Mild Cognitive Impairment and Alzheimer Disease
     Amber Sousa, Jesús J. Gomar, John Daniel Ragland, Concepcion Conejero‐Goldberg, Justin J. Buthorn, Lynda Keehlisen, Ted E. Huey, Jeremy L. Koppel, Marc L. Gordon, Erica Christen et al. · 2016 · Dementia and Geriatric Cognitive Disorders
169. A comparison of early diagnostic utility of Alzheimer disease biomarkers in magnetic resonance and cerebrospinal fluid
     J.A. Monge-Argilés, M.A. Blanco Cantó, Carlos Leiva‐Salinas, Lucía Flors, Carlos Muñoz Ruiz, José Sánchez Payá, Ruth Gasparini‐Berenguer, Carlos Leiva Santana · 2014 · Neurología (English Edition)
170. Visual Rating of Posterior Atrophy as a Marker of Progression to Dementia in Mild Cognitive Impairment Patients
     Hang-Rai Kim, Young Ho Park, Jae‐Won Jang, Young Ho Park, Min Jeong Wang, Min Jae Baek, Beom Joon Kim, Soyeon Ahn, SangYun Kim · 2016 · Journal of Alzheimer s Disease
171. Utility of Molecular and Structural Brain Imaging to Predict Progression from Mild Cognitive Impairment to Dementia
     Martin J. Lan, Robert Todd Ogden, Dileep J.S. Kumar, Yaakov Stern, Ramin V. Parsey, Gregory H. Pelton, Harry Rubin‐Falcone, Gnanavalli Pradhaban, Francesca Zanderigo, Jeffrey Morris Miller et al. · 2017 · Journal of Alzheimer s Disease
172. Subjective cognitive impairment and Alzheimer's disease: a two year follow up of 51 subjects during two years
     Nathalie Sambuchi, Isabelle Muraccioli, Béatrice Alescio‐Lautier, Véronique Paban, Roland Sambuc, Élisabeth Jouve, Yonas E. Geda, Ronald Carl Petersen, Bernard François Michel · 2015 · Gériatrie et Psychologie Neuropsychiatrie du Viellissement
173. A Biomarker Combining Imaging and Neuropsychological Assessment for Tracking Early Alzheimer's Disease in Clinical Trials
     Nishant Verma, S. Natasha Beretvas, Belén Pascual, Joseph C. Masdeu, Mia K. Markey, The Alzheimer′s Disease Neuroimaging Initiative · 2017 · Current Alzheimer Research
174. Prevalence and prognosis of prodromal A lzheimer's disease as assessed by magnetic resonance imaging and 18 F ‐fluorodeoxyglucose‐positron emission tomography in a community: reanalysis from the O saki‐ T ajiri P roject
     Kenichi Meguro, Kyoko Akanuma, Mitsue Meguro, Satoshi Yamaguchi, Hiroshi Ishii, Manabu Tashiro · 2015 · Psychogeriatrics
175. T2 signal intensity and volume abnormalities of hippocampal subregions in patients with amnestic mild cognitive impairment by magnetic resonance imaging
     Yifeng Luo, Zhihong Cao, Yu Liu, Li‐Wei Wu, Hairong Shan, Yiwen Liu, Tieliang Ma, Xuee Zhu, Dan Zhou, Binghu Jiang et al. · 2015 · International Journal of Neuroscience
176. P1‐072: Comparison of measurements of medial temporal lobe atrophy in the prediction of Alzheimer's Disease in subjects with MCI
     Lies Clerx, Laura A. van de Pol, Daniel Rueckert, Remco de Jong, Ronald A. van Schijndel, Descripa Study Group, Frans R.J. Verhey, Frederik Barkhof, Robin Wolz, Philip Scheltens et al. · 2011 · Alzheimer s & Dementia
177. Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images
     Shengwen Guo, Chunren Lai, Congling Wu, Guiyin Cen, The Alzheimer's Disease Neuroimaging Initiative · 2017 · Frontiers in Aging Neuroscience
178. Neuroimaging tools to rate cognitive impairment
     Tomoki Kaneko, Mitsuhiro Momose, Masumi Kadoya · 2005 · Psychogeriatrics
179. High-Dimensional Medial Lobe Morphometry: An Automated MRI Biomarker for the New AD Diagnostic Criteria
     S. Duchesne, F. Valdivia, A. Mouiha, N. Robitaille · 2014 · International Journal of Alzheimer's Disease
180. O5‐04‐04: MRI traits identify several loci influencing degeneration of the hippocampus lobe atrophy in the prediction of Alzheimer's disease in subjects with MCI
     Lies Clerx, Ineke van Rossum, Leah C. Burns, Dirk Lucas Knol, Philip Scheltens, Frans R.J. Verhey, Pauline Aalten, Pablo Lapuerta, Laura A. van de Pol, Ronald A. van Schijndel et al. · 2012 · Alzheimer s & Dementia
181. IC‐02‐02: Predicting progression to Alzheimer's Disease in MCI using combined structural imaging and CSF biomarkers
     Linda K. McEvoy, David S. Heister, Kaj Blennow, James B. Brewer, Anders Martin Dale · 2011 · Alzheimer s & Dementia
182. O4‐07‐05: ADDED VALUE OF MRI BIOMARKERS TO NEUROPSYCHOLOGICAL TEST PERFORMANCE FOR PREDICTION OF AD IN SUBJECTS WITH MCI
     Lies Clerx, Eva Dierckx, Laura A. van de Pol, Ineke van Rossum, Frans R.J. Verhey, Pauline Aalten, Frederik Barkhof, Robin Wolz, Daniel Rueckert, Giovanni Battista Frisoni et al. · 2014 · Alzheimer s & Dementia
183. Low MT ratio in hippocampus of amnestic MCI patients who will progress to AD
     Mario Mascalchi, Valentina Bessi, Andrea Ginestroni, Nicola Toschi, Stefano Ciulli, Sonia Padiglioni, Laura Bracco, Stefano Diciotti · 2016 · Journal of Neurology
184. O5‐07‐02: Personalized Risk Estimates for Mci Patients: Taking Biomarkers Into the Clinic
     Ingrid S. van Maurik, Femke H. Bouwman, Charlotte Elisabeth Teunissen, Philip Scheltens, Frederik Barkhof, Mike Peter Wattjes, Johannes Hans Berkhof, Wiesje M. van der Flier · 2016 · Alzheimer s & Dementia
185. [O1–12–01]: [18F]FLUTEMETAMOL AMYLOID SCANNING IN A PHASE III AMNESTIC MILD COGNITIVE IMPAIRMENT STUDY: ADDITIONAL INFLUENCE OF OTHER BIOMARKERS IN ESTIMATING RISK OF CONVERSION TO PROBABLE ALZHEIMERS DISEASE
     Christopher J. Buckley, Fraser Inglis, Andrea Cherubini, Michelle Zanette, Gill Farrar, David James Brooks, David A. Wolk · 2017 · Alzheimer s & Dementia
186. Untitled work
     2000 · 10.1002/1098-1063(2000)10:6
187. Untitled work
     1950 · 10.1002/1097-0142(1950)3:1