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1. Full Text Qualification of the analytical and clinical performance of CSF biomarker analyses in ADNI
by Shaw, Leslie M and Vanderstichele, Hugo and Knapik-Czajka, Malgorzata and Figurski, Michal and Coart, Els and Blennow, Kaj and Soares, Holly and Simon, Adam J and Lewczuk, Piotr and Dean, Robert A and Siemers, Eric and Potter, William and Lee, Virginia M.-Y and Trojanowski, John Q and Alzheimer's Dis Neuroimaging Initi and Alzheimer's Disease Neuroimaging Initiative and the Alzheimer’s Disease Neuroimaging Initiative and Sahlgrenska akademin and Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi and Göteborgs universitet and Gothenburg University and Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry and Sahlgrenska Academy
Acta Neuropathologica, ISSN 0001-6322, 5/2011, Volume 121, Issue 5, pp. 597 - 609
The close correlation between abnormally low pre-mortem cerebrospinal fluid (CSF) concentrations of amyloid-β1-42 (Aβ1–42) and plaque burden measured by... 
Interlaboratory study | Pathology | Neurosciences | Medicine & Public Health | Cerebrospinal fluid | p-tau 181 | Amyloid-β1-42 | Total tau | Alzheimer’s Disease Neuroimaging Initiative | Mixed-effects modeling | Alzheimer's Disease Neuroimaging Initiative | p-tau | BETA-AMYLOID((1-42)) | DIAGNOSIS | Amyloid-beta 1-42 | DEMENTIA | MARKERS | PATHOLOGY | MILD COGNITIVE IMPAIRMENT | NEUROSCIENCES | CLINICAL NEUROLOGY | NEUROIMAGING INITIATIVE SUBJECTS | PHOSPHORYLATED-TAU | CEREBROSPINAL-FLUID BIOMARKERS | INCIPIENT ALZHEIMER-DISEASE | PROTEINS | Predictive Value of Tests | Reproducibility of Results | Peptide Fragments - cerebrospinal fluid | Prognosis | Humans | Middle Aged | tau Proteins - cerebrospinal fluid | Cognitive Dysfunction - cerebrospinal fluid | Alzheimer Disease - cerebrospinal fluid | Alzheimer Disease - diagnosis | Alzheimer Disease - mortality | Sensitivity and Specificity | Aged, 80 and over | Amyloid beta-Peptides - cerebrospinal fluid | Aged | Cognitive Dysfunction - diagnosis | Biomarkers - cerebrospinal fluid | Cognitive Dysfunction - mortality | p-tau181 | Psykiatri | Psychiatry
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2. Full Text Qualification of a surrogate matrix-based absolute quantification method for amyloid-β₄₂ in human cerebrospinal fluid using 2D UPLC-tandem mass spectrometry
by Korecka, Magdalena
Journal of Alzheimer's disease : JAD, ISSN 1387-2877, 2014, Volume 41, Issue 2, pp. 441 - 451
The primary aims of this work were to: 1) establish a calibrator surrogate matrix for quantification of amyloid-β (Aβ)42 in human cerebrospinal fluid (CSF) and... 
mass spectrometry | Alzheimer's disease | cerebrospinal fluid | amyloid-$\beta_{42} | Immunoassay | Peptide Fragments - cerebrospinal fluid | Guanidine - chemistry | Humans | Middle Aged | Linear Models | Calibration | Alzheimer Disease - cerebrospinal fluid | Alzheimer Disease - diagnosis | Acetonitriles - chemistry | Aged, 80 and over | Amyloid beta-Peptides - cerebrospinal fluid | Chromatography, Liquid | Adult | ROC Curve | Aged | Biomarkers - cerebrospinal fluid | Tandem Mass Spectrometry - methods | Quality Control | Alzheimer’s disease | amyloid-β42
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3. Full Text VALIDATION STUDIES OF NEUROFILAMENT LIGHT AND Aβ-40 AND Aβ-42 ASSAYS IN HUMAN PLASMA USING THE SIMOA PLATFORM
by Waligorska, Teresa and Figurski, Michal J and Jeromin, Andreas and Chen-Plotkin, Alice and Trojanowski, John Q and Shaw, Leslie M
Alzheimer's & Dementia: The Journal of the Alzheimer's Association, ISSN 1552-5260, 07/2019, Volume 15, Issue 7, pp. P1022 - P1022
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4. Full Text STANDARDIZATION OF AMYLOID BETA 42 IN-HOUSE CALIBRATORS FOR A REFERENCE LC-MS-MS METHOD FOR ANALYSIS OF AMYLOID BETA 42 IN HUMAN CSF, USING THREE AVAILABLE CERTIFIED REFERENCE MATERIALS
by Korecka, Magdalena and Figurski, Michal J and Trojanowski, John Q and Shaw, Leslie M
Alzheimer's & Dementia: The Journal of the Alzheimer's Association, ISSN 1552-5260, 07/2019, Volume 15, Issue 7, pp. P341 - P341
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5. Full Text ASSAY PERFORMANCE MONITORING FOR AD BIOMARKERS USING POOLED CEREBROSPINAL FLUID
by Figurski, Michal J and Waligorska, Teresa and Korecka, Magdalena and Brylska, Magdalena and Alexander, Jacob and Shaw, Leslie M
Alzheimer's & Dementia: The Journal of the Alzheimer's Association, ISSN 1552-5260, 07/2018, Volume 14, Issue 7, pp. P702 - P703
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6. Full Text ASSAY PERFORMANCE MONITORING FOR AD BIOMARKERS USING POOLED CEREBROSPINAL FLUID
by Figurski, Michal J and Waligorska, Teresa and Korecka, Magdalena and Brylska, Magdalena and Alexander, Jacob and Shaw, Leslie M
Alzheimer's & Dementia, ISSN 1552-5260, 07/2018, Volume 14, Issue 7, pp. P702 - P703
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7. Full Text Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
by Young, A.L and Marinescu, R.V and Oxtoby, N.P and Bocchetta, Martina and Yong, K and Firth, N.C and Cash, D.M and Thomas, David L and Dick, K.M and Cardoso, J and Swieten, John and Borroni, Barbara and Galimberti, Daniela and Masellis, Mario and Tartaglia, Maria Carmela and Rowe, James and Graff, C and Tagliavini, Fabrizio and Frisoni, Giovanni B and Laforce, Robert and Finger, Elizabeth and De Mendonça, Alexane and Sorbi, Sano and Warren, Jason and Crutch, S and Fox, Nick and Ourselin, Sebastien and Schott, J.M and Rohrer, Jonathan and Alexander, D.C 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, 10/2018, Volume 9, Issue 1, pp. 4273 - 16
textabstractThe heterogeneity of neurodegenerative diseases is a key confound to disease understanding and treatment development, as study cohorts typically... 
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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8. Full Text DERIVING A CUT-OFF FOR THE ELECSYS® β-AMYLOID (1–42) IMMUNOASSAY FOR USE IN CLINICAL TRIALS SUPPORTED BY ELI LILLY FOR PATIENTS WITH CLINICALLY DEFINED ALZHEIMER’S DISEASE (AD)
by Shaw, Leslie M and Waligorska, Teresa and Fields, Leona and Korecka, Magdalena and Figurski, Michal J and Trojanowski, John Q and Eichenlaub, Udo and Wahl, Simone and Quan, Marian and Lachno, David Richard and Talbot, Jayne A and Andersen, Scott W and Siemers, Eric R and Dean, Robert A
Alzheimer's & Dementia: The Journal of the Alzheimer's Association, ISSN 1552-5260, 07/2017, Volume 13, Issue 7, pp. P1317 - P1318
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9. Full Text Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis
by Iturria-Medina, Y and Sotero, R.C and Toussaint, P.J and Mateos-Pérez, J.M and Evans, A.C 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 Gessert, Devon and Sather, Tamie and Jiminez, Gus and Harvey, Danielle and Bernstein, Matthew and Fox, Nick 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 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 ... and Alzheimer's Dis Neuroimaging and Alzheimer’s Disease Neuroimaging Initiative
Nature Communications, ISSN 2041-1723, 06/2016, Volume 7, p. 11934
Multifactorial mechanisms underlying late-onset Alzheimer's disease (LOAD) are poorly characterized from an integrative perspective. Here spatiotemporal... 
BIOMARKERS | PATHOLOGIES | MATRIX METALLOPROTEINASES | METABOLISM | MULTIDISCIPLINARY SCIENCES | ACID-BINDING PROTEIN | HYPOTHETICAL MODEL | HYPOMETABOLISM | CEREBROSPINAL-FLUID | BLOOD-BRAIN-BARRIER | PROGRESSION | Neuroimaging | Multivariate Analysis | Brain - diagnostic imaging | Humans | Middle Aged | Image Interpretation, Computer-Assisted | Male | Positron-Emission Tomography | Blood Proteins - metabolism | Amyloid beta-Peptides - blood | Brain - metabolism | Brain - blood supply | Amyloid beta-Peptides - cerebrospinal fluid | Female | Cognitive Dysfunction - diagnostic imaging | Alzheimer Disease - physiopathology | Brain - physiopathology | Cerebrovascular Circulation | Cognitive Dysfunction - blood | tau Proteins - cerebrospinal fluid | Biomarkers - blood | Cognitive Dysfunction - cerebrospinal fluid | Models, Statistical | Alzheimer Disease - cerebrospinal fluid | Cognitive Dysfunction - physiopathology | Disease Progression | tau Proteins - blood | Magnetic Resonance Imaging | Brain Mapping | Glucose - metabolism | Aged | Alzheimer Disease - diagnostic imaging | Biomarkers - cerebrospinal fluid | Alzheimer Disease - blood
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10. 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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11. Full Text ANALYTICAL AND CLINICAL PERFORMANCE OF AMYLOID BETA PEPTIDES: MEASUREMENT IN CSF OF ADNI2 AND GO PARTICIPANTS BY A LC-MS-MS REFERENCE METHOD
by Korecka, Magdalena and Figurski, Michal J and Brylska, Magdalena and Alexander, Jackob and Trojanowski, John Q and Zetterberg, Henrik and Blennow, Kaj and Shaw, Leslie M
Alzheimer's & Dementia: The Journal of the Alzheimer's Association, ISSN 1552-5260, 07/2018, Volume 14, Issue 7, pp. P378 - P378
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12. Full Text Non-coding variability at the APOE locus contributes to the Alzheimer’s risk
by Zhou, Xiaopu and Chen, Yu and Mok, Kin Y and Kwok, Timothy C. Y and Mok, Vincent C. T and Guo, Qihao and Ip, Fanny C and Chen, Yuewen and Mullapudi, Nandita and Giusti-Rodríguez, Paola and Sullivan, Patrick F and Hardy, John and Fu, Amy K. Y and Li, Yun and Ip, Nancy Y and Alzheimer’s Disease Neuroimaging Initiative
Nature Communications, ISSN 2041-1723, 12/2019, Volume 10, Issue 1, pp. 1 - 16
Alzheimer’s disease (AD) is a leading cause of mortality in the elderly. While the coding change of APOE-ε4 is a key risk factor for late-onset AD and has been... 
Haplotypes | Brain | Chromatin | Pathogenesis | Cognitive ability | Health risks | Genomes | Gene expression | Risk analysis | Loci | Risk factors | Apolipoprotein E | Coding | Chromosomes | Alzheimer's disease | Conformation | Geriatrics
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13. 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 Kim, Dokyoon 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 Carrillo, Maria 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 Montine, Tom and Thomas, Ronald G and Donohue, Michael and Walter, Sarah 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 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 and Shen, Li and Faber, Kelley and Kim, Sungeun and Tha, Lean 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 Ances, Beau and Carroll, Maria and Creech, Mary L and Franklin, Erin and Mintun, Mark A and Schneider, Stacy and Oliver, Angela 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 Marson, Daniel and Griffith, Randall and Clark, David and Geldmacher, David and Brockington, John and ... and for Alzheimer’s Disease Neuroimaging Initiative
Scientific Reports, ISSN 2045-2322, 12/2019, Volume 9, Issue 1, pp. 1 - 12
Alzheimer’s disease (AD) is a progressive neurodegenerative condition marked by a decline in cognitive functions with no validated disease modifying treatment.... 
Learning | Neuroimaging | Medical imaging | Prediction models | Neural networks | Cognitive ability | Clinical trials | Biomarkers | Cerebrospinal fluid | Alzheimer's disease
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