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1. Brocklehurst's textbook of geriatric medicine and gerontology
by Fillit, Howard, editor and Rockwood, Kenneth, editor and Young, John, 1953- editor
2017, Eighth edition., ISBN 9780702061851, xvii, 1143 pages
Aging | Gerontology | Geriatrics
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2. Brocklehurst's textbook of geriatric medicine and gerontology
by Fillit, Howard and Rockwood, Kenneth and Woodhouse, K. W and Brocklehurst, J. C. 1924-2013 (John Charles)
2010, 7th ed., ISBN 9781416062318, xxviii, 1119
Popular with generations of practitioners, "Brocklehurst's Textbook of Geriatric Medicine and Gerontology" has been the definitive reference of choice in the... 
Aging | Geriatrics | Clinical & internal medicine | Gerontology
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3. Editorial [ Drug Discovery for Alzheimer's Disease: Filling the Pipeline Guest Editors: Antony R. Horton and Howard M. Fillit ]
by Horton, Antony R and Fillit, Howard M
Current Alzheimer Research, ISSN 1567-2050, 12/2007, Volume 4, Issue 5, pp. 501 - 502
Full Text Available 
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4. Full Text Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
by Young, Alexandra L and Marinescu, Razvan V and Oxtoby, Neil P and Bocchetta, Martina and Yong, Keir and Firth, Nicholas C and Cash, David M and Thomas, David L and Dick, Katrina M and Cardoso, Jorge and van Swieten, John and Borroni, Barbara and Galimberti, Daniela and Masellis, Mario and Tartaglia, Maria Carmela and Rowe, James B and Graff, Caroline and Tagliavini, Fabrizio and Frisoni, Giovanni B and Laforce, Robert and Finger, Elizabeth and de Mendonça, Alexandre and Sorbi, Sandro and Warren, Jason D and Crutch, Sebastian and Fox, Nick C and Ourselin, Sebastien and Schott, Jonathan M and Rohrer, Jonathan D and Alexander, Daniel C and Andersson, Christin and Archetti, Silvana and Arighi, Andrea and Benussi, Luisa and Binetti, Giuliano and Black, Sandra and Cosseddu, Maura and Fallström, Marie and Ferreira, Carlos and Fenoglio, Chiara and Freedman, Morris and Fumagalli, Giorgio G and Gazzina, Stefano and Ghidoni, Roberta and Grisoli, Marina and Jelic, Vesna and Jiskoot, Lize and Keren, Ron and Lombardi, Gemma and Maruta, Carolina and Meeter, Lieke and Mead, Simon and van Minkelen, Rick and Nacmias, Benedetta and Öijerstedt, Linn and Padovani, Alessandro and Panman, Jessica and Pievani, Michela and Polito, Cristina and Premi, Enrico and Prioni, Sara and Rademakers, Rosa and Redaelli, Veronica and Rogaeva, Ekaterina and Rossi, Giacomina and Rossor, Martin and Scarpini, Elio and Tang-Wai, David and Thonberg, Hakan and Tiraboschi, Pietro and Verdelho, Ana and Weiner, Michael W and Aisen, Paul and Petersen, Ronald and Jack, Clifford R and Jagust, William and Trojanowki, John Q and Toga, Arthur W and Beckett, Laurel and Green, Robert C and Saykin, Andrew J and Morris, John and Shaw, Leslie M and Khachaturian, Zaven and Sorensen, Greg and Kuller, Lew and Raichle, Marc and Paul, Steven and Davies, Peter and Fillit, Howard and Hefti, Franz and Holtzman, Davie and Mesulam, M Marcel and Potter, William and Snyder, Peter and Schwartz, Adam and Montine, Tom and Thomas, Ronald G and Donohue, Michael and Walter, Sarah and ... and Genetic FTD Initiative GENFI and Alzheimer's Dis Neuroimaging Initi and Alzheimer’s Disease Neuroimaging Initiative (ADNI) and Genetic FTD Initiative (GENFI) and The Genetic FTD Initiative (GENFI) and The Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Nature Communications, ISSN 2041-1723, 12/2018, Volume 9, Issue 1, pp. 4273 - 16
The heterogeneity of neurodegenerative diseases is a key confound to disease understanding and treatment development, as study cohorts typically include... 
COGNITIVE DECLINE | REPEAT EXPANSIONS | DEMENTIA | DEFINED SUBTYPES | MULTIDISCIPLINARY SCIENCES | SPORADIC ALZHEIMERS-DISEASE | ATROPHY PATTERNS | BIOMARKER CHANGES | MODEL | FRONTOTEMPORAL LOBAR DEGENERATION | HUNTINGTONS-DISEASE | Frontotemporal Dementia - genetics | Phenotype | Reproducibility of Results | Neurodegenerative Diseases - pathology | Time Factors | Humans | Genotype | Models, Neurological | Alzheimer Disease - genetics | Alzheimer Disease - pathology | Frontotemporal Dementia - pathology | Neurodegenerative Diseases - classification | Phenotypes | Medical imaging | Disease | Neurodegenerative diseases | Medical treatment | Inference | Trajectories | Patients | Subgroups | Complexity | Diseases | Neurological diseases | Heterogeneity | Learning algorithms | Neurodegeneration | Machine learning | Dementia disorders | Diagnostic systems | Frontotemporal dementia | Genotypes
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5. Full Text The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory
by Franzmeier, Nicolai and Rubinski, Anna and Neitzel, Julia and Ewers, Michael and Weiner, Michael W and Aisen, Paul and Petersen, Ronald and Jack, Clifford R and Jagust, William and Trojanowski, John Q and Toga, Arthur W and Beckett, Laurel and Green, Robert C and Saykin, Andrew J and Morris, John and Shaw, Leslie M and Khachaturian, Zaven and Sorensen, Greg and Kuller, Lew and Raichle, Marcus and Paul, Steven and Davies, Peter and Fillit, Howard and Hefti, Franz and Holtzman, David and Mesulam, Marek M and Potter, William and Snyder, Peter and Schwartz, Adam and Montine, Tom and Thomas, Ronald G and Donohue, Michael and Walter, Sarah and Gessert, Devon and Sather, Tamie and Jiminez, Gus and Harvey, Danielle and Bernstein, Matthew and Thompson, Paul and Schuff, Norbert and Borowski, Bret and Gunter, Jeff and Senjem, Matt and Vemuri, Prashanthi and Jones, David and Kantarci, Kejal and Ward, Chad and Koeppe, Robert A and Foster, Norm and Reiman, Eric M and Chen, Kewei and Mathis, Chet and Landau, Susan and Cairns, Nigel J and Householder, Erin and Taylor-Reinwald, Lisa and Lee, Virginia and Korecka, Magdalena and Figurski, Michal and Crawford, Karen and Neu, Scott and Foroud, Tatiana M and Potkin, Steven G and Shen, Li and Faber, Kelley and Kim, Sungeun and Nho, Kwangsik and Thal, Leon and Buckholtz, Neil and Albert, Marylyn and Frank, Richard and Hsiao, John and Kaye, Jeffrey and Quinn, Joseph and Lind, Betty and Carter, Raina and Dolen, Sara and Schneider, Lon S and Pawluczyk, Sonia and Beccera, Mauricio and Teodoro, Liberty and Spann, Bryan M and Brewer, James and Vanderswag, Helen and Fleisher, Adam and Heidebrink, Judith L and Lord, Joanne L and Mason, Sara S and Albers, Colleen S and Knopman, David and Johnson, Kris and Doody, Rachelle S and Villanueva-Meyer, Javier and Chowdhury, Munir and Rountree, Susan and Dang, Mimi and Stern, Yaakov and Honig, Lawrence S and Bell, Karen L and Ances, Beau and ... and Alzheimers Dis Neuroimaging Initia and Alzheimer’s Disease Neuroimaging Initiative (ADNI) and The Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Nature Communications, ISSN 2041-1723, 12/2019, Volume 10, Issue 1, pp. 1766 - 12
The single nucleotide polymorphism (SNP) rs744373 in the bridging integrator-1 gene (BIN1) is a risk factor for Alzheimer's disease (AD). In the brain, BIN1 is... 
COGNITIVE RESERVE | PROTEIN | CONNECTIVITY | ALZHEIMERS-DISEASE | MULTIDISCIPLINARY SCIENCES | GENE-EXPRESSION | RISK | NEURODEGENERATION | PATHOLOGY | BRAIN | DECLINE | Brain - diagnostic imaging | Humans | Memory | Risk Factors | tau Proteins - metabolism | Male | Cognition | Positron-Emission Tomography | Genetic Variation | Magnetic Resonance Imaging | Endocytosis | Tumor Suppressor Proteins - genetics | Adaptor Proteins, Signal Transducing - genetics | Alleles | Alzheimer Disease - metabolism | Aged, 80 and over | Cytoskeleton - metabolism | Female | Aged | Polymorphism, Single Nucleotide | Alzheimer Disease - genetics | Nuclear Proteins - genetics | Brain | Cognitive ability | Health risks | Single-nucleotide polymorphism | Risk analysis | Gene polymorphism | Risk factors | Pathology | Tau protein | Autopsy | Dementia disorders | β-Amyloid | Cytoskeleton | Positron emission tomography | Alzheimer's disease | Polymorphism
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6. Full Text Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics
by Varatharajah, Yogatheesan and Ramanan, Vijay K and Iyer, Ravishankar and Vemuri, Prashanthi and Weiner, Michael W and Aisen, Paul and Petersen, Ronald and Jack, Clifford R and Saykin, Andrew J and Jagust, William and Trojanowki, John Q and Toga, Arthur W and Beckett, Laurel and Green, Robert C and Morris, John and Shaw, Leslie M and Khachaturian, Zaven and Sorensen, Greg and Carrillo, Maria and Kuller, Lew and Raichle, Marc and Paul, Steven and Davies, Peter and Fillit, Howard and Hefti, Franz and Holtzman, David and Mesulam, M. Marcel and Potter, William and Snyder, Peter and Schwartz, Adam and Montine, Tom and Thomas, Ronald G and Donohue, Michael and Walter, Sarah and Gessert, Devon and Sather, Tamie and Jiminez, Gus and Balasubramanian, Archana B and Mason, Jennifer and Sim, Iris and Harvey, Danielle and Bernstein, Matthew and Fox, Nick and Thompson, Paul and Schuff, Norbert and DeCArli, Charles and Borowski, Bret and Gunter, Jeff and Senjem, Matt and Jones, David and Kantarci, Kejal and Ward, Chad and Koeppe, Robert A and Foster, Norm and Reiman, Eric M and Chen, Kewei and Mathis, Chet and Landau, Susan and Cairns, Nigel J and Franklin, Erin and Taylor-Reinwald, Lisa and Lee, Virginia and Korecka, Magdalena and Figurski, Michal and Crawford, Karen and Neu, Scott and Foroud, Tatiana M and Potkin, Steven and Faber, Kelley and Kim, Sungeun and Nho, Kwangsik and Thal, Leon and Buckholtz, Neil and Albert, Marilyn and Frank, Richard and Hsiao, John and Kaye, Jeffrey and Quinn, Joseph and Silbert, Lisa and Lind, Betty and Carter, Raina and Dolen, Sara and Schneider, Lon S and Pawluczyk, Sonia and Beccera, Mauricio and Teodoro, Liberty and Spann, Bryan M and Brewer, James and Vanderswag, Helen and Fleisher, Adam and Heidebrink, Judith L and Lord, Joanne L and Mason, Sara S and Albers, Colleen S and Knopman, David and Johnson, Kris and Doody, Rachelle S and Villanueva-Meyer, Javier and Pavlik, Valory and Shibley, Victoria and ... and Alzheimers Dis Neuroimaging Initia and Alzheimer’s Disease Neuroimaging Initiative and For the Alzheimer’s Disease Neuroimaging Initiative
Scientific Reports, ISSN 2045-2322, 12/2019, Volume 9, Issue 1, pp. 2235 - 15
In the Alzheimer's disease (AD) continuum, the prodromal state of mild cognitive impairment (MCI) precedes AD dementia and identifying MCI individuals at risk... 
MICROGLIAL ACTIVATION | F-18-FLORBETAPIR PET | DEMENTIA | VARIANTS | ALZHEIMERS-DISEASE | MULTIDISCIPLINARY SCIENCES | CR-1 | ASSOCIATION | CLU | IMPAIRMENT | DECLINE | Neuroimaging | Complement receptors | Learning algorithms | Demography | Tau protein | Cognitive ability | Dementia disorders | Amyloid | Genetic factors | Cerebrospinal fluid | Alzheimer's disease
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7. Full Text Performing Sparse Regularization and Dimension Reduction Simultaneously in Multimodal Data Fusion
by Yang, ZS and Zhuang, XW and Bird, C and Sreenivasan, K and Mishra, V and Banks, S and Cordes, D and Alzheimers Dis Neuroimaging Initia and Alzheimer's Disease Neuroimaging Initiative and the Alzheimer's Disease Neuroimaging Initiative
FRONTIERS IN NEUROSCIENCE, ISSN 1662-453X, 07/2019, Volume 13, p. 642
Collecting multiple modalities of neuroimaging data on the same subject is increasingly becoming the norm in clinical practice and research. Fusing multiple... 
CCA | data fusion | GRAY-MATTER LOSS | PRINCIPAL COMPONENT ANALYSIS | ALZHEIMERS-DISEASE | FUNCTIONAL CONNECTIVITY | NETWORKS | canonical correlation analysis | sparse principal component analysis | NEUROSCIENCES | PCA | VOXEL-BASED MORPHOMETRY | MCI | CINGULATE CORTEX | mild cognitive impairment | SNP DATA | CANONICAL CORRELATION-ANALYSIS | Neuroimaging | Nuclear magnetic resonance--NMR | Medical imaging | Image processing | Cognitive ability | Schizophrenia | Principal components analysis | Datasets | Algorithms | Sparsity | Magnetic resonance imaging | Correlation analysis | Functional magnetic resonance imaging | Random variables | Alzheimers disease | Bioinformatics | Methods | Structure-function relationships
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8. Full Text Predicting Alzheimer’s disease progression using multi-modal deep learning approach
by Lee, Garam and Nho, Kwangsik and Kang, Byungkon and Sohn, Kyung-Ah and