The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods

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1. 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
2. Linking GABA and glutamate levels to cognitive skill acquisition during development
   Cohen Kadosh, Kathrin, Krause, Beatrix, King, Andrew J., Near, Jamie, Cohen Kadosh, Roi · 2015 · Human Brain Mapping
3. Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer’s disease cohorts
   Lin Tan, Hui-Fu Wang, Meng‐Shan Tan, Chen‐Chen Tan, Xi‐Chen Zhu, Dan Miao, Wan-Jiang Yu, Teng Jiang, Lan Tan, Jin‐Tai Yu et al. · 2016 · Scientific Reports
4. 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
5. Fronto-Striatal Glutamate in Autism Spectrum Disorder and Obsessive Compulsive Disorder
   Jilly Naaijen, Marcel P. Zwiers, Houshang Amiri, Steven Williams, Sarah Durston, Bob Oranje, Daniel Brandeis, Regina Boecker-Schlier, Matthias Ruf, Isabella Wolf et al. · 2016 · Neuropsychopharmacology
6. A spatio-temporal reference model of the aging brain
   Wyke Huizinga, Dirk H. J. Poot, Meike Willemijn Vernooij, Gennady V. Roshchupkin, Esther E. Bron, M. Arfan Ikram, Daniel Rueckert, Wiro J. Niessen, Stefan Klein · 2017 · NeuroImage
7. The utility of multivariate outlier detection techniques for data quality evaluation in large studies: an application within the ONDRI project
   ONDRI Investigators, Kelly M. Sunderland, Derek Beaton, Julia Fraser, Donna T. Kwan, Paula M. McLaughlin, Manuel Montero‐Odasso, Alicia J. Peltsch, Frederico Pieruccini‐Faria, Demetrios J. Sahlas et al. · 2019 · BMC Medical Research Methodology
8. Alliance for aging research AD biomarkers work group: structural MRI
   Jack, Clifford R. · 2011 · Neurobiology of Aging
9. Revisiting rodent models: Octodon degus as Alzheimer’s disease model?
   Steffen, Johannes, Krohn, Markus, Paarmann, Kristin, Schwitlick, Christina, Brüning, Thomas, Marreiros, Rita, Müller-Schiffmann, Andreas, Korth, Carsten, Braun, Katharina, Pahnke, Jens · 2016 · Acta Neuropathologica Communications
10. Influence of APOE Genotype on Hippocampal Atrophy over Time - An N=1925 Surface-Based ADNI Study
    Bolun Li, Jie Shi, Boris A. Gutman, Leslie C. Baxter, Paul M. Thompson, Richard J. Caselli, Yalin Wang, Alzheimer’s Disease Neuroimaging Initiative · 2016 · PLoS ONE
11. Understanding brain resilience in superagers: a systematic review
    Laiz Laura de Godoy, Cesar Alves, Juan Sebastian Martin Saavedra, Adalberto Studart‐Neto, Ricardo Nitríni, Cláudia da Costa Leite, Sotirios Bisdas · 2020 · Neuroradiology
12. DTI based Alzheimer’s disease classification with rank modulated fusion of CNNs and random forest
    Arijit De, Ananda Shankar Chowdhury · 2020 · Expert Systems with Applications
13. Specific cognitive functions and depressive symptoms as predictors of activities of daily living in older adults with heterogeneous cognitive backgrounds
    Jonas Jardim de Paula, Breno Satler Diniz, Maria Aparecida Camargos Bicalho, Maicon Rodrigues Albuquerque, Rodrigo Nicolato, Edgar Nunes de Moraes, Marco Aurélio Romano‐Silva, Leandro Fernandes Malloy‐Diniz · 2015 · Frontiers in Aging Neuroscience
14. 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
15. Structural MRI in Frontotemporal Dementia: Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry
    Miguel Ángel Muñoz‐Ruiz, Päivi H. Hartikainen, Juha R. Koikkalainen, Robin Wolz, Valtteri Julkunen, Eini I. Niskanen, Sanna‐Kaisa Herukka, Miia Kivipelto, Ritva L. Vanninen, Daniel Rueckert et al. · 2012 · PLoS ONE
16. Man Versus Machine: Comparison of Radiologists’ Interpretations and NeuroQuant® Volumetric Analyses of Brain MRIs in Patients With Traumatic Brain Injury
    David E. Ross, Alfred L. Ochs, Jan M. Seabaugh, Carole R. Shrader, the Alzheimer's Disease Neuroimaging Initiative · 2013 · Journal of Neuropsychiatry
17. Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features
    Boris A. Gutman, Xue Hua, Priya Rajagopalan, Yi‐Yu Chou, Yalin Wang, Igor Yanovsky, Arthur W. Toga, Clifford R. Jack, Michael Walter Weiner, Paul M. Thompson · 2013 · NeuroImage
18. Greater regional brain atrophy rate in healthy elderly subjects with a history of cigarette smoking
    Timothy C. Durazzo, Philip S. Insel, Michael Walter Weiner, Alzheimer Disease Neuroimaging Initiative · 2012 · Alzheimer s & Dementia
19. Update on amyloid imaging: From healthy aging to Alzheimer’s disease
    David A. Wolk, William Edward Klunk · 2009 · Current Neurology and Neuroscience Reports
20. The Brain in Kidney Disease (BRINK) Cohort Study: Design and Baseline Cognitive Function
    Anne M. Murray, Elizabeth J. Bell, David E. Tupper, Cynthia S. Davey, Sarah L. Pederson, Elizabeth Amiot, Kathleen M. Miley, Lauren E. McPherson, Brooke M. Heubner, David T. Gilbertson et al. · 2015 · American Journal of Kidney Diseases
21. Automated quality assessment of structural magnetic resonance images in children: Comparison with visual inspection and surface‐based reconstruction
    Tonya J.H. White, Philip R. Jansen, Ryan L. Muetzel, Gustavo P. Sudre, Hanan El Marroun, Henning W. Tiemeier, Anqi Qiu, Philip Shaw, Andrew M. Michael, Frank C. Verhulst · 2017 · Human Brain Mapping
22. Limited agreement between biomarkers of neuronal injury at different stages of Alzheimer's disease
    Alexopoulos, Panagiotis, Kriett, Laura, Haller, Bernhard, Klupp, Elisabeth, Gray, Katherine, Grimmer, Timo, Laskaris, Nikolaos, Förster, Stefan, Perneczky, Robert, Kurz, Alexander et al. · 2014 · Alzheimer's & Dementia
23. Understanding Placebo Responses in Alzheimer's Disease Clinical Trials from the Literature Meta-Data and CAMD Database
    Ito, Kaori, Corrigan, Brian, Romero, Klaus, Anziano, Richard, Neville, Jon, Stephenson, Diane, Lalonde, Richard · 2013 · Journal of Alzheimer's Disease
24. Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation
    Rongguang Wang, Pratik Chaudhari, Christos A. Davatzikos · 2021 · Medical Image Analysis
25. Diagnosis of Alzheimer's disease based on regional attention with sMRI gray matter slices
    Yanteng Zhang, Qizhi Teng, Yuyang Liu, Yan Liu, Xiaohai He · 2021 · Journal of Neuroscience Methods
26. The spectrum of data sharing policies in neuroimaging data repositories
    Anita S. Jwa, Russell Alan Poldrack · 2022 · Human Brain Mapping
27. Federated Learning for Enhanced Cybersecurity and Trustworthiness in 5G and 6G Networks: A Comprehensive Survey
    Afroditi Blika, Stefanos Palmos, George S. Doukas, Vangelis Lamprou, Sotiris Pelekis, Michael Kontoulis, Christos Ntanos, Dimitris Askounis · 2024 · IEEE Open Journal of the Communications Society
28. Beta amyloid, tau, neuroimaging, and cognition: sequence modeling of biomarkers for Alzheimer’s Disease
    Alzheimer’s Disease Neuroimaging Initiative, S. Duke Han, Jonathan Gruhl, Laurel A. Beckett, Hiroko Hayama Dodge, Nikki H. Stricker, Sarah Tomaszewski Farias, Dan Mungas · 2012 · Brain Imaging and Behavior
29. Clinical Amyloid Imaging
    Atul K. Mallik, Alexander E. Drzezga, Satoshi Minoshima · 2016 · Seminars in Nuclear Medicine
30. The role of fMRI in drug development
    Owen Thomas Carmichael, Adam James Schwarz, Christopher Hughes Chatham, David Scott, Jessica A. Turner, Jaymin Upadhyay, Alexandre Coimbra, James A Goodman, Richard Baumgartner, Brett A. English et al. · 2017 · Drug Discovery Today
31. Neuroimaging modality fusion in Alzheimer’s classification using convolutional neural networks
    Arjun Punjabi, Adam Martersteck, Yanran Wang, Todd B. Parrish, Aggelos K. Katsaggelos, and the Alzheimer’s Disease Neuroimaging Initiative · 2019 · PLoS ONE
32. Elevated rates of mild cognitive impairment in HIV disease
    David P. Sheppard, Jennifer E. Iudicello, Mark William Bondi, Katie L. Doyle, Erin E. Morgan, Paul J. Massman, Paul E. Gilbert, Steven Paul Woods · 2015 · Journal of NeuroVirology
33. A ready-to-use machine learning tool for symmetric multi-modality registration of brain MRI
    Iglesias, Juan Eugenio · 2023 · Scientific Reports
34. Mindboggling morphometry of human brains
    Arno Klein, Satrajit Ghosh, Forrest Sheng Bao, Joachim Giard, Yrjö Häme, Eliezer Stavsky, Lee, Noah, B Rossa, Elias Chaibub Neto, Anisha Keshavan et al. · 2017 · PLoS eBooks
35. Metabolic and structural connectivity within the default mode network relates to working memory performance in young healthy adults
    Igor Y. Yakushev, Gaël Chételat, Florian Udo Fischer, Brigitte Landeau, Christine Bastin, Armin Scheurich, Audrey Perrotin, Mohamed Ali Bahri, Alexander E. Drzezga, Francis Eustache et al. · 2013 · NeuroImage
36. Morphometricity as a measure of the neuroanatomical signature of a trait
    Mert Rory Sabuncu, Tian Ge, Avram J. Holmes, Jordan W. Smoller, Randy L. Buckner, Bruce R. Fischl, the Alzheimer's Disease Neuroimaging Initiative, Michael Walter Weiner, Paul Aisen, Michael Walter Weiner et al. · 2016 · Proceedings of the National Academy of Sciences
37. Therapeutic Strategies and Drug Development for Vascular Cognitive Impairment
    Eric Edward Smith, Alicja Cieślak, Philip A. Barber, Jerry Yongqiang Chen, Yu‐Wei Chen, Ida Donnini, Jodi D. Edwards, Richard Frayne, Thalia S. Field, Janka Hegedus et al. · 2017 · Journal of the American Heart Association
38. Standardization of hippocampus volumetry using automated brain structure volumetry tool for an initial Alzheimer’s disease imaging biomarker
    Jill Abrigo, Lin Shi, Yishan Luo, Qianyun Chen, Chiu‐Wing Winnie Chu, Vincent Mok, Alzheimer’s Disease Neuroimaging Initiative · 2018 · Acta Radiologica
39. Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks
    Snehashis Roy, John A. Butman, Daniel S. Reich, Peter A. Calabresi, Dzung L. Pham · 2018 · arXiv (Cornell University)
40. M4Raw: A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI research
    Mengye Lyu, Lifeng Mei, Shoujin Huang, Sixing Liu, Yi Li, Kexin Yang, Yilong Liu, Yu Dong, Linzheng Dong, Edward X. Wu · 2023 · Scientific Data
41. Cross-modality Synthesis from MRI to PET Using Adversarial U-Net with Different Normalization
    Shengye Hu, Jianpeng Yuan, Shuqiang Wang · 2019 · IEEE International Conference on Medical Imaging Physics and Engineering (ICMIPE)
42. Inflammation, negative affect, and amyloid burden in Alzheimer’s disease: Insights from the kynurenine pathway
    Auriel A. Willette, Colleen A. Pappas, Nathan J. Hoth, Qian Wang, Brandon Skylar Klinedinst, Sara A. Willette, Brittany A. Larsen, Amy Pollpeter, Tianqi Li, Scott T. Le et al. · 2020 · Brain Behavior and Immunity
43. Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow
    Kurt G. Schilling, Chantal M. W. Tax, François Rheault, Colin B. Hansen, Qi Yang, Fang-Cheng F. Yeh, Leon Y. Cai, Adam W. Anderson, Bennett A. Landman · 2021 · NeuroImage
44. Longitudinal brain atrophy and CSF biomarkers in early-onset Alzheimer’s disease
    José Contador, Agnès Pérez‐Millan, Adrià Tort‐Merino, Mircea Balasa, Neus Falgàs, Jaume Olives, Magdalena Castellví, Sergi Borrego‐Écija, Beatríz Bosch, Guadalupe Fernández‐Villullas et al. · 2021 · NeuroImage Clinical
45. Diagnosis of Alzheimer's disease via optimized lightweight convolution-attention and structural MRI
    Uttam Khatri, Goo‐Rak Kwon · 2024 · Computers in Biology and Medicine
46. Physiological fluctuations in white matter are increased in Alzheimer's disease and correlate with neuroimaging and cognitive biomarkers
    Ilia Makedonov, J. Jean Chen, Mario Masellis, Bradley J. MacIntosh · 2015 · Neurobiology of Aging
47. Detection of Alzheimer's disease signature in MR images seven years before conversion to dementia: Toward an early individual prognosis
    P. Coupé, Vladimir S Fonov, Charlotte Bernard, Azar Zandifar, S. Eskildsen, C. Helmer, J. Manjón, H. Amieva, J. Dartigues, M. Allard et al. · 2015 · Human Brain Mapping
48. 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
49. Normal-appearing cerebral white matter in healthy adults: mean change over 2 years and individual differences in change
    Andrew R. Bender, Naftali Raz · 2015 · Neurobiology of Aging
50. Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation
    Anand D. Sarwate, Sergey Plis, Jessica A. Turner, Mohammad R. Arbabshirani, Vince D. Calhoun · 2014 · Frontiers in Neuroinformatics
51. Task-Induced Brain Activity Patterns in Type 2 Diabetes: A Potential Biomarker for Cognitive Decline
    Thomas J. Marder, Veronica L. Flores, Nicolas R. Bolo, Wouter S. Hoogenboom, Donald C. Simonson, Alan M. Jacobson, Sarah Foote, Martha Elizabeth Shenton, Reisa Anne Sperling, Gail Musen · 2014 · Diabetes
52. Reflections on the Future of Pharmaceutical Public-Private Partnerships: From Input to Impact
    Remco L.A. de Vrueh, Daan J.A. Crommelin · 2017 · Pharmaceutical Research
53. Gaussian process uncertainty in age estimation as a measure of brain abnormality
    Benjamin Becker, Tassilo Klein, Christian Wachinger · 2018 · NeuroImage
54. Receptors for pro‐resolving mediators are increased in Alzheimer's disease brain
    Emre, Ceren, Hjorth, Erik, Bharani, Krishna, Carroll, Steven, Granholm, Ann‐Charlotte, Schultzberg, Marianne · 2020 · Brain Pathology
55. Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages
    Yunbi Liu, Ling Yue, Shifu Xiao, Wei Yang, Dinggang G. Shen, Mingxia Liu · 2021 · Medical Image Analysis
56. CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs
    Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary · 2022 · IEEE Transactions on Medical Imaging
57. Resting-state global brain activity affects early β-amyloid accumulation in default mode network
    Feng Han, Xufu Liu, Richard B. Mailman, Xuemei Huang, Xiao Liu, the Alzheimer’s Disease Neuroimaging Initiative · 2023 · Nature Communications
58. The AD-CSF-Index Discriminates Alzheimer's Disease Patients from Healthy Controls: A Validation Study
    José Luís Molinuevo, Juan Domingo Gispert, Bruno Dubois, Michael Thomas Heneka, Alberto Lleó, Sebastiaan Engelborghs, Jesús Pujol, Leonardo Cruz de Souza, Daniel Andres Alcolea, Frank Jessen et al. · 2013 · Journal of Alzheimer s Disease
59. A direct morphometric comparison of five labeling protocols for multi-atlas driven automatic segmentation of the hippocampus in Alzheimer's disease
    Sean M. Nestor, Erin Gibson, Fuqiang Gao, Alex Kiss, Sandra E. Black · 2012 · NeuroImage
60. The Genetic and Environmental Determinants of the Association Between Brain Abnormalities and Schizophrenia: The Schizophrenia Twins and Relatives Consortium
    Neeltje E.M. van Haren, Frühling Vesta Rijsdijk, Hugo Gerard Schnack, Marco Picchioni, Timothea Toulopoulou, Matthias Weisbrod, Heinrich Sauer, Theo GM van Erp, Tyrone D. Cannon, MATTI O. HUTTUNEN et al. · 2012 · Biological Psychiatry
61. Voxel‐based morphometry in patients with obsessive‐compulsive behaviors in behavioral variant frontotemporal dementia
    David C. Perry, Jennifer Louise Whitwell, Bradley F. Boeve, V. Shane Pankratz, David S. Knopman, Ronald Carl Petersen, Clifford R. Jack, Keith A. Josephs · 2012 · European Journal of Neurology
62. Associations Between Elevated Homocysteine, Cognitive Impairment, and Reduced White Matter Volume in Healthy Old Adults
    Lei Feng, Vivian Isaac, Sam K.Y. Sim, Tze Pin Ng, K. Ranga Krishnan, Michael W.L. Chee · 2013 · American Journal of Geriatric Psychiatry
63. Cerebral Amyloid and Hypertension are Independently Associated with White Matter Lesions in Elderly
    Julia A. Scott, Meredith N. Braskie, Duygu Tosun, Paul M. Thompson, Michael Walter Weiner, Charles S DeCarli, Owen Thomas Carmichael · 2015 · Frontiers in Aging Neuroscience
64. Cognitive complaints in older adults at risk for Alzheimer's disease are associated with altered resting‐state networks
    Joey Annette Contreras, Joaquín Goñi, Shannon L. Risacher, Enrico Amico, Karmen K. Yoder, Mario Džemidžić, John D. West, Brenna C. McDonald, Martin Rhys Farlow, Olaf Sporns et al. · 2016 · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
65. Dynamic Spectral Graph Convolution Networks with Assistant Task Training for Early MCI Diagnosis
    Xiaodan Xing, Qingfeng Li, Hao Wei, Minqing Zhang, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Feng Shi · 2019 · Lecture notes in computer science
66. Is There Any Evidence of Premature, Accentuated and Accelerated Aging Effects on Neurocognition in People Living with HIV? A Systematic Review
    Htein Linn Aung, Maral N. Aghvinian, Hetta Gouse, Reuben N. Robbins, Bruce James Brew, Limin Mao, Lucette A. Cysique · 2020 · AIDS and Behavior
67. Increased CSF-BACE1 activity associated with decreased hippocampus volume in Alzheimer’s disease
    Ewers, Michael, Cheng, Xin, Zhong, Zhenyu, Nural, Hikmet F., Walsh, Cathal, Meindl, Thomas, Teipel, Stefan J., Buerger, Katharina, He, Ping, Shen, Yong et al. · 2011 · Journal of Alzheimer s Disease
68. Modulatory effects of brain-derived neurotrophic factor Val66Met polymorphism on prefrontal regions in major depressive disorder
    Rebecca MacGregor Legge, Shahbaz Sendi, James Howard Cole, Sarah Cohen‐Woods, Sergi G. Costafreda, Andrew Simmons, ANNE E. FARMER, Katherine Jean Aitchison, Peter McGuffin, Cynthia H.Y. Fu · 2015 · The British Journal of Psychiatry
69. Using neuroimaging to help predict the onset of psychosis
    George Gifford, Nicolas Andres Crossley, Paolo Fusar‐Poli, Hugo Gerard Schnack, René S. Kahn, Nikolaos Koutsouleris, Tyrone D. Cannon, Philip K. McGuire · 2016 · NeuroImage
70. Automatic Recognition of Mild Cognitive Impairment and Alzheimers Disease Using Ensemble based 3D Densely Connected Convolutional Networks
    Shuqiang Wang, Hongfei Wang, Yanyan Shen, Xiangyu Wang · 2018 · International Conference on Machine Learning and Applications
71. Deep Reinforcement Learning Techniques in Diversified Domains: A Survey
    Surbhi Gupta, Gaurav Singal, Deepak Garg · 2021 · Archives of Computational Methods in Engineering
72. Dynamic PET Image Denoising Using Deep Image Prior Combined With Regularization by Denoising
    Hao Sun, Lihong Peng, Hongyan Zhang, Yuru He, Shuangliang Cao, Lijun Lu · 2021 · IEEE Access
73. Amygdalar Atrophy in Early Alzheimer’s Disease
    Yanica Klein, Rolf A. Heckemann, Kylee T. Ramdeen, Olivier Moreaud, Sandrine Keignart, Alexandre Krainik, Alexander Hammers, Monica Baciu, Pascal Hot, Alzheimer’s Disease Neuroimaging Initiative · 2014 · Current Alzheimer Research
74. The existence of Aβ strains and their potential for driving phenotypic heterogeneity in Alzheimer’s disease
    Heather H. C. Lau, Martin Ingelsson, Joel C. Watts · 2020 · Acta Neuropathologica
75. The Canadian Biomarker Integration Network in Depression (CAN-BIND): magnetic resonance imaging protocols
    MacQueen, Glenda M., Hassel, Stefanie, Arnott, Stephen R., Addington, Jean, Bowie, Christopher R., Bray, Signe L., Davis, Andrew D., Downar, Jonathan, Foster, Jane A., Frey, Benicio N. et al. · 2019 · Journal of Psychiatry and Neuroscience
76. Neuromarkers for Mental Disorders: Harnessing Population Neuroscience
    Jollans, Lee, Whelan, Robert · 2018 · Frontiers in Psychiatry
77. Design and Methodology of the Longitudinal Aging Study in India‐Diagnostic Assessment of Dementia ( LASI‐DAD )
    Jinkook Lee, Pranali Yogiraj Khobragade, Joyita Banerjee, Sandy Chien, Marco Angrisani, Arokiasamy Perianayagam, David E. Bloom, Aparajit Ballav Dey · 2020 · Journal of the American Geriatrics Society
78. Alzheimer Disease Detection Techniques and Methods: A Review.
    Sitara Afzal, Muazzam Maqsood, Umair Mateen Khan, Irfan Mehmood, Hina Nawaz, Farhan Aadil, Oh-Young Song, Yunyoung Nam · 2021 · International Journal of Interactive Multimedia and Artificial Intelligence
79. Temporal and spatial evolution of grey matter atrophy in primary progressive multiple sclerosis
    Arman Eshaghi, Benedetta Bodini, Gerard R. Ridgway, Daniel García-Lorenzo, Daniel J. Tozer, Mohammad Ali Sahraian, Alan J. Thompson, Olga Ciccarelli · 2013 · NeuroImage
80. Tools for multiple granularity analysis of brain MRI data for individualized image analysis
    Aigerim Djamanakova, Xiaoying Tang, Xin Li, Andreia Vasconcellos Faria, Can Ceritoglu, Kenichi Oishi, Argye Elizabeth Hillis, Marilyn Albert, Constantine George Lyketsos, Michael I. Miller et al. · 2014 · NeuroImage
81. Anatomical Correlates of the Neuropsychiatric Symptoms in Alzheimer's Disease
    Xiaochen Hu, Dix U. Meiberth, Beate Newport, Frank Jessen · 2015 · Current Alzheimer Research
82. Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status
    Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang G. Shen · 2017 · Lecture notes in computer science
83. Predicting functional decline in behavioural variant frontotemporal dementia
    Josephs, K. A., Whitwell, J. L., Weigand, S. D., Senjem, M. L., Boeve, B. F., Knopman, D. S., Smith, G. E., Ivnik, R. J., Jack, C. R., Petersen, R. C. · 2011 · Brain
84. Highly Elevated Cerebrospinal Fluid Total Tau Level Reflects Higher Likelihood of Non-Amnestic Subtype of Alzheimer’s Disease
    Jagan A. Pillai, Aaron Bonner‐Jackson, Lynn M. Bekris, Jiri Safar, Jim Bena, James B. Leverenz · 2019 · Journal of Alzheimer s Disease
85. Alzheimer's vulnerable brain region relies on a distinct retromer core dedicated to endosomal recycling
    Simoes, Sabrina, Guo, Jia, Buitrago, Luna, Qureshi, Yasir H., Feng, Xinyang, Kothiya, Milankumar, Cortes, Etty, Patel, Vivek, Kannan, Suvarnambiga, Kim, Young-Hyun et al. · 2021 · Cell Reports
86. A critical guide to the automated quantification of perivascular spaces in magnetic resonance imaging
    William Pham, Miranda Lynch, Gershon Spitz, Terence John O'Brien, Lucy E. Vivash, Benjamin Sinclair, Meng Law · 2022 · Frontiers in Neuroscience
87. Identification of Novel Candidate Genes for Alzheimer's Disease by Autozygosity Mapping using Genome Wide SNP Data
    Richard Sherva, Clinton T. Baldwin, Rivka Inzelberg, Badri Narayan Vardarajan, L. Adrienne Cupples, Kathryn L. Lunetta, Abdalla Bowirrat, Adam Christian Naj, Margaret Ann Pericak‐Vance, Robert Paul Friedland et al. · 2011 · Journal of Alzheimer s Disease
88. 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
89. Optimized high‐resolution mapping of magnetization transfer (MT) at 3 Tesla for direct visualization of substructures of the human thalamus in clinically feasible measurement time
    Tabea Gringel, Walter Schulz‐Schaeffer, Erck Elolf, Andreas Maximilian Frölich, Peter Dechent, Gunther Helms · 2009 · Journal of Magnetic Resonance Imaging
90. Effects of study design in multi-scanner voxel-based morphometry studies
    Hidemasa Takao, Naoto Hayashi, Kuni Ohtomo · 2013 · NeuroImage
91. Functional magnetic resonance imaging as a dynamic candidate biomarker for Alzheimer's disease
    David Prvulovic, Arun L.W. Bokde, Frank Faltraco, Harald Juergen Hampel · 2011 · Progress in Neurobiology
92. Optimization of white-matter-nulled magnetization prepared rapid gradient echo (MP-RAGE) imaging
    Manojkumar Saranathan, Thomas Tourdias, Ersin Bayram, Pejman Ghanouni, Brian K. Rutt · 2014 · Magnetic Resonance in Medicine
93. Resting State BOLD Variability in Alzheimer’s Disease: A Marker of Cognitive Decline or Cerebrovascular Status?
    Vanessa Scarapicchia, Erin L. Mazerolle, John D. Fisk, Lesley J. Ritchie, Jodie R. Gawryluk · 2018 · Frontiers in Aging Neuroscience
94. Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment
    Yueying Zhou, Lishan Qiao, Weikai Li, Limei Zhang, Dinggang G. Shen · 2018 · Frontiers in Neuroinformatics
95. A hybrid computational approach for efficient Alzheimer’s disease classification based on heterogeneous data
    Xuemei Ding, Magda Bucholc, Haiying Wang, David H. Glass, Hui Wang, Dave H. Clarke, Anthony J. Bjourson, Le Roy C. Dowey, Maurice O’Kane, Girijesh Prasad et al. · 2018 · Scientific Reports
96. Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases
    Ramon Casanova, Ryan Barnard, Sarah A. Gaussoin, Santiago J. Saldana, Kathleen M. Hayden, JoAnn Elisabeth Manson, Robert B. Wallace, Stephen R. Rapp, Susan M. Resnick, Mark Andrew Espeland et al. · 2018 · NeuroImage
97. Classification of Early and Late Mild Cognitive Impairment Using Functional Brain Network of Resting-State fMRI
    Tingting Zhang, Zanzan Zhao, Chao Zhang, Junjun Zhang, Zhenlan Jin, Ling Li · 2019 · Frontiers in Psychiatry
98. Structural Neuroimaging in the Detection and Prognosis of Pre-Clinical and Early AD
    Christine Fennema‐Notestine, Linda K. McEvoy, Donald J. Hagler, Mark W. Jacobson, Anders Martin Dale, the Alzheimer’s Disease Neuroimaging Initiative · 2009 · Behavioural Neurology
99. Tackling variability: a multicenter study to provide a gold-standard network approach for frontotemporal dementia
    Sedeño, Lucas, Piguet, Olivier, Abrevaya, Sofía, Desmaras, Horacio, García‐Cordero, Indira, Baez, Sandra, Alethia de la Fuente, Laura, Reyes, Pablo, Tu, Sicong, Moguilner, Sebastian et al. · 2017 · Human Brain Mapping
100. Bridging Integrator 1 (BIN1) Genotypes Mediate Alzheimer’s Disease Risk by Altering Neuronal Degeneration
     Hui-Fu Wang, Disease Neuroimaging Initiative Alzheimer’s, Yu Wan, Xiaoke Hao, Lei Cao, Xi‐Chen Zhu, Teng Jiang, Meng‐Shan Tan, Lin Tan, Daoqiang Zhang et al. · 2016 · Journal of Alzheimer s Disease