Cited by 1,043

The DOI matches its Crossref record; 156 of the 156 references it cites were found in a registry or an index.

Plasma phospholipids identify antecedent memory impairment in older adults

Open access

Mapstone, Mark, Cheema, Amrita K, Fiandaca, Massimo S, Zhong, Xiaogang, Mhyre, Timothy R, MacArthur, Linda H, Hall, William J, Fisher, Susan G, Peterson, Derick R, Haley, James M, Nazar, Michael D, Rich, Steven A, Berlau, Dan J, Peltz, Carrie B, Tan, Ming T, Kawas, Claudia H, Federoff, Howard J·2014·Nature Medicine

DOI 10.1038/nm.3466

Open this paper in CoChat — free account

Abstract

Alzheimer's disease causes a progressive dementia that currently affects over 35 million individuals worldwide and is expected to affect 115 million by 2050 (ref. 1). There are no cures or disease-modifying therapies, and this may be due to our inability to detect the disease before it has progressed to produce evident memory loss and functional decline. Biomarkers of preclinical disease will be critical to the development of disease-modifying or even preventative therapies. Unfortunately, current biomarkers for early disease, including cerebrospinal fluid tau and amyloid-β levels, structural and functional magnetic resonance imaging and the recent use of brain amyloid imaging or inflammaging, are limited because they are either invasive, time-consuming or expensive. Blood-based biomarkers may be a more attractive option, but none can currently detect preclinical Alzheimer's disease with the required sensitivity and specificity. Herein, we describe our lipidomic approach to detecting preclinical Alzheimer's disease in a group of cognitively normal older adults. We discovered and validated a set of ten lipids from peripheral blood that predicted phenoconversion to either amnestic mild cognitive impairment or Alzheimer's disease within a 2–3 year timeframe with over 90% accuracy. This biomarker panel, reflecting cell membrane integrity, may be sensitive to early neurodegeneration of preclinical Alzheimer's disease.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1038/nm.3466

Cites

156 of 156 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Regularization Paths for Generalized Linear Models via Coordinate Descent
Friedman, J., Hastie, T., & Tibshirani, R. (2010) · Journal of Statistical Software · doi:10.18637/jss.v033.i01 · Cited by 19,927
The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
Self-citation
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
Bolstad, B. M., Irizarry, R. A., Åstrand, M., & Speed, T. P. (2003) · Bioinformatics · doi:10.1093/bioinformatics/19.2.185 · Cited by 8,266
Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
Inflamm‐aging: An Evolutionary Perspective on Immunosenescence
FRANCESCHI, C., BONAFÈ, M., VALENSIN, S., OLIVIERI, F., DE LUCA, M., OTTAVIANI, E., & DE BENEDICTIS, G. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06651.x · Cited by 5,358
Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B
Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., Bergström, M., Savitcheva, I., Huang, G., Estrada, S., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20009 · Cited by 4,496
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420
Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria
Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., et al. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70178-3 · Cited by 4,411
Triple-Transgenic Model of Alzheimer’s Disease with Plaques and Tangles
Oddo, S., Caccamo, A., Shepherd, J. D., Murphy, M. P., Golde, T. E., Kayed, R., Metherate, R., Mattson, M. P., Akbari, Y., & LaFerla, F. M. (2003) · Neuron · doi:10.1016/s0896-6273(03)00434-3 · Cited by 4,126
Hearing loss and cognitive decline in older adults
Lin, F. R., Yaffe, K., Xia, J., Xue, Q.-L., Harris, T. B., Purchase-Helzner, E., Satterfield, S., Ayonayon, H. N., Ferrucci, L., Simonsick, E. M., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1868 · Cited by 4,017
Mild cognitive impairment
Gauthier, S., Reisberg, B., Zaudig, M., Petersen, R. C., Ritchie, K., Broich, K., Belleville, S., Brodaty, H., Bennett, D., Chertkow, H., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68542-5 · Cited by 3,850
Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
2013 Alzheimer's disease facts and figures
Alzheimer's Association, Thies, W., & Bleiler, L. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.02.003 · Cited by 3,328
National Institute on Aging–Alzheimer's Association guidelines for the neuropathologic assessment of Alzheimer's disease
Hyman, B. T., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Carrillo, M. C., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., et al. (2012) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.10.007 · Cited by 3,092
The Diagnosis of Mild Cognitive Impairment due to Alzheimer’s Disease: Recommendations from the National Institute on Aging-Alzheimer’s Association Workgroups on Diagnostic Guidelines for Alzheimer’s Disease
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2013) · Focus · doi:10.1176/appi.focus.11.1.96 · Cited by 2,621
Chronic traumatic encephalopathy in athletes: Progressive tauopathy after repetitive head injury
McKee, A. C., Cantu, R. C., Nowinski, C. J., Hedley-Whyte, E. T., Gavett, B. E., Budson, A. E., Santini, V. E., Lee, H.-S., Kubilus, C. A., & Stern, R. A. (2009) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181a9d503 · Cited by 2,295
The clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects
Shaw, L. M., Vanderstichele, H., Knapik‐Czajka, M., Clark, C. M., Aisen, P. S., Petersen, R. C., Blennow, K., Soares, H., Simon, A., Lewczuk, P., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21610 · Cited by 2,065
Practice parameter: Early detection of dementia: Mild cognitive impairment (an evidence-based review) [RETIRED]: Report of the Quality Standards Subcommittee of the American Academy of Neurology
Petersen, R. C., Stevens, J. C., Ganguli, M., Tangalos, E. G., Cummings, J. L., & DeKosky, S. T. (2001) · Neurology · doi:10.1212/wnl.56.9.1133 · Cited by 2,065
Cerebrospinal fluid and plasma biomarkers in Alzheimer disease
Blennow, K., Hampel, H., Weiner, M., & Zetterberg, H. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.4 · Cited by 1,863
Alzheimer disease: Evidence for selective loss of cholinergic neurons in the nucleus basalis
Whitehouse, P. J., Price, D. L., Clark, A. W., Coyle, J. T., & DeLong, M. R. (1981) · Annals of Neurology · doi:10.1002/ana.410100203 · Cited by 1,736
Association between CSF biomarkers and incipient Alzheimer's disease in patients with mild cognitive impairment: a follow-up study
Hansson, O., Zetterberg, H., Buchhave, P., Londos, E., Blennow, K., & Minthon, L. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70355-6 · Cited by 1,700
A Follow-up Study
Zacks, C. M., Abbott, R. L., & Fine, M. (1990) · Cornea · doi:10.1097/00003226-199004000-00002 · Cited by 1,234
CSF Biomarkers and Incipient Alzheimer Disease in Patients With Mild Cognitive Impairment
Mattsson, N. (2009) · JAMA · doi:10.1001/jama.2009.1064 · Cited by 1,176
Global metabolic profiling procedures for urine using UPLC–MS
Want, E. J., Wilson, I. D., Gika, H., Theodoridis, G., Plumb, R. S., Shockcor, J., Holmes, E., & Nicholson, J. K. (2010) · Nature Protocols · doi:10.1038/nprot.2010.50 · Cited by 1,169
ApoE-Directed Therapeutics Rapidly Clear β-Amyloid and Reverse Deficits in AD Mouse Models
Cramer, P. E., Cirrito, J. R., Wesson, D. W., Lee, C. Y. D., Karlo, J. C., Zinn, A. E., Casali, B. T., Restivo, J. L., Goebel, W. D., James, M. J., et al. (2012) · Science · doi:10.1126/science.1217697 · Cited by 1,050
Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins
Ray, S., Britschgi, M., Herbert, C., Takeda-Uchimura, Y., Boxer, A., Blennow, K., Friedman, L. F., Galasko, D. R., Jutel, M., Karydas, A., et al. (2007) · Nature Medicine · doi:10.1038/nm1653 · Cited by 1,048
Specific tau phosphorylation sites correlate with severity of neuronal cytopathology in Alzheimer's disease
Augustinack, J. C., Schneider, A., Mandelkow, E.-M., & Hyman, B. T. (2002) · Acta Neuropathologica · doi:10.1007/s004010100423 · Cited by 998
Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging
Rowe, C. C., Ellis, K. A., Rimajova, M., Bourgeat, P., Pike, K. E., Jones, G., Fripp, J., Tochon-Danguy, H., Morandeau, L., O'Keefe, G., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.007 · Cited by 986
Alzheimer’s Dementia: Dilemmas in Clinical Research
(1985) · Humana Press eBooks · doi:10.1007/978-1-4612-5174-3 · Cited by 981
Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database
Cuingnet, R., Gerardin, E., Tessieras, J., Auzias, G., Lehéricy, S., Habert, M.-O., Chupin, M., Benali, H., & Colliot, O. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.013 · Cited by 959
Chronic Traumatic Encephalopathy in Blast-Exposed Military Veterans and a Blast Neurotrauma Mouse Model
Goldstein, L. E., Fisher, A. M., Tagge, C. A., Zhang, X.-L., Velisek, L., Sullivan, J. A., Upreti, C., Kracht, J. M., Ericsson, M., Wojnarowicz, M. W., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003716 · Cited by 958
Positron Emission Tomography in Evaluation of Dementia: Regional Brain Metabolism and Long-term Outcome
Silverman, D. H. S., Small, G. W., Chang, C. Y., Lu, C. S., de Aburto, M. A. K., Chen, W., Czernin, J., Rapoport, S. I., Pietrini, P., Alexander, G. E., et al. (2001) · JAMA · doi:10.1001/jama.286.17.2120 · Cited by 951
Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers
Wedeen, V. J., Wang, R. P., Schmahmann, J. D., Benner, T., Tseng, W. Y. I., Dai, G., Pandya, D. N., Hagmann, P., D'Arceuil, H., & de Crespigny, A. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.036 · Cited by 941
Cerebrospinal Fluid tau/β-Amyloid42 Ratio as a Prediction of Cognitive Decline in Nondemented Older Adults
Fagan, A. M., Roe, C. M., Xiong, C., Mintun, M. A., Morris, J. C., & Holtzman, D. M. (2007) · Archives of Neurology · doi:10.1001/archneur.64.3.noc60123 · Cited by 897
Documented head injury in early adulthood and risk of Alzheimer’s disease and other dementias
Plassman, B. L., Havlik, R. J., Steffens, D. C., Helms, M. J., Newman, T. N., Drosdick, D., Phillips, C., Gau, B. A., Welsh–Bohmer, K. A., Burke, J. R., et al. (2000) · Neurology · doi:10.1212/wnl.55.8.1158 · Cited by 896
Diabetes and cognitive dysfunction
McCrimmon, R. J., Ryan, C. M., & Frier, B. M. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60360-2 · Cited by 880
-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer's disease
Pike, K. E., Savage, G., Villemagne, V. L., Ng, S., Moss, S. A., Maruff, P., Mathis, C. A., Klunk, W. E., Masters, C. L., & Rowe, C. C. (2007) · Brain · doi:10.1093/brain/awm238 · Cited by 789
Alterations in Memory Networks in Mild Cognitive Impairment and Alzheimer's Disease: An Independent Component Analysis
Celone, K. A., Calhoun, V. D., Dickerson, B. C., Atri, A., Chua, E. F., Miller, S. L., DePeau, K., Rentz, D. M., Selkoe, D. J., Blacker, D., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.2250-06.2006 · Cited by 753
Hippocampal and entorhinal atrophy in mild cognitive impairment: Prediction of Alzheimer disease
Devanand, D. P., Pradhaban, G., Liu, X., Khandji, A., De Santi, S., Segal, S., Rusinek, H., Pelton, G. H., Honig, L. S., Mayeux, R., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000256697.20968.d7 · Cited by 748
Multicenter Standardized 18F-FDG PET Diagnosis of Mild Cognitive Impairment, Alzheimer's Disease, and Other Dementias
Mosconi, L., Tsui, W. H., Herholz, K., Pupi, A., Drzezga, A., Lucignani, G., Reiman, E. M., Holthoff, V., Kalbe, E., Sorbi, S., et al. (2008) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.045385 · Cited by 726
Improved discrimination of AD patients using β-amyloid (1-42) and tau levels in CSF
Hulstaert, F., Blennow, K., Ivanoiu, A., Schoonderwaldt, H. C., Riemenschneider, M., Deyn, P. P. D., Bancher, C., Cras, P., Wiltfang, J., Mehta, P. D., et al. (1999) · Neurology · doi:10.1212/wnl.52.8.1555 · Cited by 724
Analysis of partial volume effects in diffusion‐tensor MRI
Alexander, A. L., Hasan, K. M., Lazar, M., Tsuruda, J. S., & Parker, D. L. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1105 · Cited by 695
Lipid map of the mammalian cell
van Meer, G., & de Kroon, A. I. P. M. (2011) · Journal of Cell Science · doi:10.1242/jcs.071233 · Cited by 694
Assessing sample and miRNA profile quality in serum and plasma or other biofluids
Blondal, T., Jensby Nielsen, S., Baker, A., Andreasen, D., Mouritzen, P., Wrang Teilum, M., & Dahlsveen, I. K. (2013) · Methods · doi:10.1016/j.ymeth.2012.09.015 · Cited by 687
Plasma Phosphatidylcholine Docosahexaenoic Acid Content and Risk of Dementia and Alzheimer Disease: The Framingham Heart Study
Schaefer, E. J., Bongard, V., Beiser, A. S., Lamon-Fava, S., Robins, S. J., Au, R., Tucker, K. L., Kyle, D. J., Wilson, P. W. F., & Wolf, P. A. (2006) · Archives of Neurology · doi:10.1001/archneur.63.11.1545 · Cited by 686
A genome-wide perspective of genetic variation in human metabolism
Illig, T., Gieger, C., Zhai, G., Römisch-Margl, W., Wang-Sattler, R., Prehn, C., Altmaier, E., Kastenmüller, G., Kato, B. S., Mewes, H.-W., et al. (2010) · Nature Genetics · doi:10.1038/ng.507 · Cited by 653
18F‐flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: A phase 2 trial
Vandenberghe, R., Van Laere, K., Ivanoiu, A., Salmon, E., Bastin, C., Triau, E., Hasselbalch, S., Law, I., Andersen, A., Korner, A., et al. (2010) · Annals of Neurology · doi:10.1002/ana.22068 · Cited by 646
Biomarkers for Alzheimer's disease: academic, industry and regulatory perspectives
Hampel, H., Frank, R., Broich, K., Teipel, S. J., Katz, R. G., Hardy, J., Herholz, K., Bokde, A. L. W., Jessen, F., Hoessler, Y. C., et al. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3115 · Cited by 631
Toward a Comprehensive Theory for Alzheimer's Disease. Hypothesis: Alzheimer's Disease Is Caused by the Cerebral Accumulation and Cytotoxicity of Amyloid β‐Protein
SELKOE, D. J. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb05554.x · Cited by 630
FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease
Foster, N. L., Heidebrink, J. L., Clark, C. M., Jagust, W. J., Arnold, S. E., Barbas, N. R., DeCarli, C. S., Scott Turner, R., Koeppe, R. A., Higdon, R., et al. (2007) · Brain · doi:10.1093/brain/awm177 · Cited by 608
Posttraumatic stress disorder and risk of dementia among US veterans
Yaffe, K., Vittinghoff, E., Lindquist, K., Barnes, D., Covinsky, K. E., Neylan, T., Kluse, M., & Marmar, C. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.61 · Cited by 596
Cerebral amyloid-β PET with florbetaben (18F) in patients with Alzheimer's disease and healthy controls: a multicentre phase 2 diagnostic study
Barthel, H., Gertz, H.-J., Dresel, S., Peters, O., Bartenstein, P., Buerger, K., Hiemeyer, F., Wittemer-Rump, S. M., Seibyl, J., Reininger, C., et al. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70077-1 · Cited by 591
Evaluating the comparability of gene expression in blood and brain
Sullivan, P. F., Fan, C., & Perou, C. M. (2006) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30272 · Cited by 580
MUTANT GENES IN FAMILIAL ALZHEIMER'S DISEASE AND TRANSGENIC MODELS
Price, D. L., & Sisodia, S. S. (1998) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.21.1.479 · Cited by 572
Alzheimer's disease versus dementia with Lewy bodies: Cerebral metabolic distinction with autopsy confirmation
Minoshima, S., Foster, N. L., Sima, A. A. F., Frey, K. A., Albin, R. L., & Kuhl, D. E. (2001) · Annals of Neurology · doi:10.1002/ana.1133 · Cited by 560
Evidence for a membrane defect in Alzheimer disease brain.
Nitsch, R. M., Blusztajn, J. K., Pittas, A. G., Slack, B. E., Growdon, J. H., & Wurtman, R. J. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.5.1671 · Cited by 536
A blood based 12-miRNA signature of Alzheimer disease patients
Leidinger, P., Backes, C., Deutscher, S., Schmitt, K., Mueller, S. C., Frese, K., Haas, J., Ruprecht, K., Paul, F., Stähler, C., et al. (2013) · Genome Biology · doi:10.1186/gb-2013-14-7-r78 · Cited by 502
Proteome-based plasma biomarkers for Alzheimer's disease
Hye, A., Lynham, S., Thambisetty, M., Causevic, M., Campbell, J., Byers, H. L., Hooper, C., Rijsdijk, F., Tabrizi, S. J., Banner, S., et al. (2006) · Brain · doi:10.1093/brain/awl279 · Cited by 464
Acylcarnitines: Role in brain
Jones, L. L., McDonald, D. A., & Borum, P. R. (2010) · Progress in Lipid Research · doi:10.1016/j.plipres.2009.08.004 · Cited by 454
Regional Membrane Phospholipid Alterations in Alzheimer's Disease
Prasad, M. R., Lovell, M. A., Yatin, M., Dhillon, H., & Markesbery, W. R. (1998) · Neurochemical Research · doi:10.1023/a:1022457605436 · Cited by 439
Identification of Altered Metabolic Pathways in Plasma and CSF in Mild Cognitive Impairment and Alzheimer’s Disease Using Metabolomics
Trushina, E., Dutta, T., Persson, X.-M. T., Mielke, M. M., & Petersen, R. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063644 · Cited by 438
Metabolomics in Early Alzheimer's Disease: Identification of Altered Plasma Sphingolipidome Using Shotgun Lipidomics
Han, X., Rozen, S., Boyle, S. H., Hellegers, C., Cheng, H., Burke, J. R., Welsh-Bohmer, K. A., Doraiswamy, P. M., & Kaddurah-Daouk, R. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021643 · Cited by 429
Inhibition of N-acetylaspartate production: implications for 1H MRS studies in vivo.
Bates, T. E., Strangward, M., Keelan, J., Davey, G. P., Munro, P., & Clark, J. B. (1996) · PubMed · Cited by 422
Blood-Based Protein Biomarkers for Diagnosis of Alzheimer Disease
Doecke, J. D. (2012) · Archives of Neurology · doi:10.1001/archneurol.2012.1282 · Cited by 421
Inflammatory CNS demyelination: histopathologic correlation with in vivo quantitative proton MR spectroscopy.
Bitsch, A., Bruhn, H., Vougioukas, V. I., Stringaris, A. K., Lassmann, H., Frahm, J., & Brück, W. (1999) · PubMed Central · Cited by 415
A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease
Sexton, C. E., Kalu, U. G., Filippini, N., Mackay, C. E., & Ebmeier, K. P. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.05.019 · Cited by 410
Association of plasma clusterin concentration with severity, pathology, and progression in Alzheimer disease
Thambisetty, M., Simmons, A., Velayudhan, L., Hye, A., Campbell, J., Zhang, Y., Wahlund, L.-O., Westman, E., Kinsey, A., Güntert, A., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.78 · Cited by 405
Circulating miRNA Biomarkers for Alzheimer's Disease
Kumar, P., Dezso, Z., MacKenzie, C., Oestreicher, J., Agoulnik, S., Byrne, M., Bernier, F., Yanagimachi, M., Aoshima, K., & Oda, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069807 · Cited by 381
LC-MS/MS in the Clinical Laboratory - Where to From Here?
Grebe, S. K. G., & Singh, R. J. (2011) · Europe PMC (PubMed Central) · Cited by 368
Differential regional dysfunction of the hippocampal formation among elderly with memory decline and Alzheimer's disease
Small, S. A., Perera, G. M., DeLapaz, R., Mayeux, R., & Stern, Y. (1999) · Annals of Neurology · doi:10.1002/1531-8249(199904)45:4<466::aid-ana8>3.0.co;2-q · Cited by 347
A focus on the synapse for neuroprotection in Alzheimer disease and other dementias
Coleman, P., Federoff, H., & Kurlan, R. (2004) · Neurology · doi:10.1212/01.wnl.0000140626.48118.0a · Cited by 314
Self-citation
The future of blood‐based biomarkers for Alzheimer's disease
Henriksen, K., O'Bryant, S. E., Hampel, H., Trojanowski, J. Q., Montine, T. J., Jeromin, A., Blennow, K., Lönneborg, A., Wyss‐Coray, T., Soares, H., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.01.013 · Cited by 313
What does fluorodeoxyglucose PET imaging add to a clinical diagnosis of dementia?
Jagust, W., Reed, B., Mungas, D., Ellis, W., & DeCarli, C. (2007) · Neurology · doi:10.1212/01.wnl.0000269790.05105.16 · Cited by 298
Brain Membrane Phospholipid Alterations in Alzheimer's Disease
Pettegrew, J. W., Panchalingam, K., Hamilton, R. L., & McClure, R. J. (2001) · Neurochemical Research · doi:10.1023/a:1011603916962 · Cited by 292
Procedure for tissue sample preparation and metabolite extraction for high-throughput targeted metabolomics
Römisch-Margl, W., Prehn, C., Bogumil, R., Röhring, C., Suhre, K., & Adamski, J. (2012) · Metabolomics · doi:10.1007/s11306-011-0293-4 · Cited by 292
Plasma and Brain Fatty Acid Profiles in Mild Cognitive Impairment and Alzheimer's Disease
Cunnane, S. C., Schneider, J. A., Tangney, C., Tremblay-Mercier, J., Fortier, M., Bennett, D. A., & Morris, M. C. (2012) · Journal of Alzheimer's Disease · doi:10.3233/jad-2012-110629 · Cited by 288
Effectiveness and Safety of 18F-FDG PET in the Evaluation of Dementia: A Review of the Recent Literature
Bohnen, N. I., Djang, D. S. W., Herholz, K., Anzai, Y., & Minoshima, S. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.096578 · Cited by 286
Roles for dysfunctional sphingolipid metabolism in Alzheimer's disease neuropathogenesis
Haughey, N. J., Bandaru, V. V. R., Bae, M., & Mattson, M. P. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2010.05.003 · Cited by 273
Lipid Alterations in Lipid Rafts from Alzheimer's Disease Human Brain Cortex
Martín, V., Fabelo, N., Santpere, G., Puig, B., Marín, R., Ferrer, I., & Díaz, M. (2010) · Journal of Alzheimer's Disease · doi:10.3233/jad-2010-1242 · Cited by 271
Biomarkers of Alzheimer disease in plasma
Irizarry, M. C. (2004) · NeuroRX · doi:10.1602/neurorx.1.2.226 · Cited by 268
CSF Total tau, Aβ42 and Phosphorylated tau Protein as Biomarkers for Alzheimer's Disease
Blennow, K., Vanmechelen, E., & Hampel, H. (2001) · Molecular Neurobiology · doi:10.1385/mn:24:1-3:087 · Cited by 267
Visual Assessment Versus Quantitative Assessment of 11C-PIB PET and 18F-FDG PET for Detection of Alzheimer's Disease
Ng, S., Villemagne, V. L., Berlangieri, S., Lee, S.-T., Cherk, M., Gong, S. J., Ackermann, U., Saunder, T., Tochon-Danguy, H., Jones, G., et al. (2007) · Journal of Nuclear Medicine · doi:10.2967/jnumed.106.037762 · Cited by 258
Detection of PCC functional connectivity characteristics in resting-state fMRI in mild Alzheimer’s disease
ZHANG, H., WANG, S., XING, J., LIU, B., MA, Z., YANG, M., ZHANG, Z., & TENG, G. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.08.012 · Cited by 257
MicroRNAs in Plasma and Cerebrospinal Fluid as Potential Markers for Alzheimer's Disease
Kiko, T., Nakagawa, K., Tsuduki, T., Furukawa, K., Arai, H., & Miyazawa, T. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-130932 · Cited by 256
Measurement of basal forebrain atrophy in Alzheimer's disease using MRI
Teipel, S. J., Flatz, W. H., Heinsen, H., Bokde, A. L. W., Schoenberg, S. O., Stöckel, S., Dietrich, O., Reiser, M. F., Möller, H.-J., & Hampel, H. (2005) · Brain · doi:10.1093/brain/awh589 · Cited by 248
Post‐lumbar puncture headaches: Experience in 501 consecutive procedures
Kuntz, K. M., MD, E. K., Stevens, J. C., RN, P. M., Offord, K. P., & Ho, M. M. (1992) · Neurology · doi:10.1212/wnl.42.10.1884 · Cited by 239
A Serum Protein–Based Algorithm for the Detection of Alzheimer Disease
O’Bryant, S. E. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.215 · Cited by 230
Brain Volume Decline in Aging: Evidence for a Relation Between Socioeconomic Status, Preclinical Alzheimer Disease, and Reserve
Fotenos, A. F., Mintun, M. A., Snyder, A. Z., Morris, J. C., & Buckner, R. L. (2008) · Archives of Neurology · doi:10.1001/archneurol.2007.27 · Cited by 224
Recent advances in the application of metabolomics to Alzheimer's Disease
Trushina, E., & Mielke, M. M. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2013.06.014 · Cited by 196
The aged monkey basal forebrain: rescue and sprouting of axotomized basal forebrain neurons after grafts of encapsulated cells secreting human nerve growth factor.
Kordower, J. H., Winn, S. R., Liu, Y. T., Mufson, E. J., Sladek, J. R., Hammang, J. P., Baetge, E. E., & Emerich, D. F. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.23.10898 · Cited by 192
Head-to-Head Comparison of 11C-PiB and 18F-AZD4694 (NAV4694) for β-Amyloid Imaging in Aging and Dementia
Rowe, C. C., Pejoska, S., Mulligan, R. S., Jones, G., Chan, J. G., Svensson, S., Cselényi, Z., Masters, C. L., & Villemagne, V. L. (2013) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.114785 · Cited by 191
Comparison of 11C-PiB and 18F-florbetaben for Aβ imaging in ageing and Alzheimer’s disease
Villemagne, V. L., Mulligan, R. S., Pejoska, S., Ong, K., Jones, G., O’Keefe, G., Chan, J. G., Young, K., Tochon-Danguy, H., Masters, C. L., et al. (2012) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-012-2088-x · Cited by 190
Candidate Blood Proteome Markers of Alzheimer's Disease Onset and Progression: A Systematic Review and Replication Study
Kiddle, S. J., Sattlecker, M., Proitsi, P., Simmons, A., Westman, E., Bazenet, C., Nelson, S. K., Williams, S., Hodges, A., Johnston, C., et al. (2013) · Journal of Alzheimer's Disease · doi:10.3233/jad-130380 · Cited by 189
A Longitudinal Follow-Up of 550 Mild Cognitive Impairment Patients: Evidence for Large Conversion to Dementia Rates and Detection of Major Risk Factors Involved
Espinosa, A., Alegret, M., Valero, S., Vinyes-Junqué, G., Hernández, I., Mauleón, A., Rosende-Roca, M., Ruiz, A., López, O., Tárraga, L., et al. (2013) · Journal of Alzheimer's Disease · doi:10.3233/jad-122002 · Cited by 183
Blood-Based Biomarkers of Alzheimer's Disease: Challenging but Feasible
Thambisetty, M., & Lovestone, S. (2010) · Biomarkers in Medicine · doi:10.2217/bmm.09.84 · Cited by 182
A visuospatial variant of mild cognitive impairment: Getting lost between aging and AD
Mapstone, M., Steffenella, T. M., & Duffy, C. J. (2003) · Neurology · doi:10.1212/01.wnl.0000049471.76799.de · Cited by 182
Self-citation
Decreased lysophosphatidylcholine/phosphatidylcholine ratio in cerebrospinal fluid in Alzheimer?s disease
Mulder, C., Wahlund, L.-O., Teerlink, T., Blomberg, M., Veerhuis, R., van Kamp, G. J., Scheltens, P., & Scheffer, P. G. (2003) · Journal of Neural Transmission · doi:10.1007/s00702-003-0007-9 · Cited by 174
Age and diagnostic performance of Alzheimer disease CSF biomarkers
Mattsson, N., Rosén, E., Hansson, O., Andreasen, N., Parnetti, L., Jonsson, M., Herukka, S.-K., van der Flier, W. M., Blankenstein, M. A., Ewers, M., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182477eed · Cited by 171
Regularized ROC method for disease classification and biomarker selection with microarray data
Ma, S., & Huang, J. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti724 · Cited by 168
Lipidomics of Alzheimer's disease: current status
Wood, P. L. (2012) · Alzheimer's Research & Therapy · doi:10.1186/alzrt103 · Cited by 167
Glycerophosphocholine is elevated in cerebrospinal fluid of Alzheimer patients
Walter, A., Korth, U., Hilgert, M., Hartmann, J., Weichel, O., Hilgert, M., Fassbender, K., Schmitt, A., & Klein, J. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.02.016 · Cited by 165
Identification of a new plasma biomarker of Alzheimer's disease using metabolomics technology
Sato, Y., Suzuki, I., Nakamura, T., Bernier, F., Aoshima, K., & Oda, Y. (2012) · Journal of Lipid Research · doi:10.1194/jlr.m022376 · Cited by 161
Neuroimaging biomarkers for clinical trials of disease-modifying therapies in Alzheimer’s disease
Dickerson, B. C., & Sperling, R. A. (2005) · Neurotherapeutics · doi:10.1602/neurorx.2.2.348 · Cited by 159
Biological Marker Candidates of Alzheimer's Disease in Blood, Plasma, and Serum
Schneider, P., Hampel, H. J., & Büerger, K. (2009) · CNS Neuroscience & Therapeutics · doi:10.1111/j.1755-5949.2009.00104.x · Cited by 154
Cortical Deactivation in Mild Cognitive Impairment: High-Field-Strength Functional MR Imaging
Petrella, J. R., Wang, L., Krishnan, S., Slavin, M. J., Prince, S. E., Tran, T.-T. T., & Doraiswamy, P. M. (2007) · Radiology · doi:10.1148/radiol.2451061847 · Cited by 152
Ushering in the study and treatment of preclinical Alzheimer disease
Langbaum, J. B. S., Fleisher, A., Chen, K., Ayutyanont, N., Lopera, F. J., Quiroz, Y. T., Caselli, R. J., Tariot, P. N., & Reiman, E. M. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.107 · Cited by 149
Attention‐related networks in Alzheimer's disease: A resting functional MRI study
Li, R., Wu, X., Fleisher, A., Reiman, E. M., Chen, K., & Li, Y. (2011) · Human Brain Mapping · doi:10.1002/hbm.21269 · Cited by 146
Five out of 16 plasma signaling proteins are enhanced in plasma of patients with mild cognitive impairment and Alzheimer's disease
Marksteiner, J., Kemmler, G., Weiss, E. M., Knaus, G., Ullrich, C., Mechtcheriakov, S., OBERBAUER, H., Auffinger, S., Hinterhoelzl, J., Hinterhuber, H., et al. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.03.011 · Cited by 143
Development of biomarkers to chart all Alzheimer's disease stages: The royal road to cutting the therapeutic Gordian Knot
Hampel, H. J., Lista, S., & Khachaturian, Z. S. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.05.2116 · Cited by 142
1H Magnetic resonance spectroscopy in dementia
Kantarci, K. (2007) · British Journal of Radiology · doi:10.1259/bjr/60346217 · Cited by 138
Cognitive activity and the cognitive morbidity of Alzheimer disease
Wilson, R. S., Barnes, L. L., Aggarwal, N. T., Boyle, P. A., Hebert, L. E., de Leon, C. F. M., & Evans, D. A. (2010) · Neurology · doi:10.1212/wnl.0b013e3181f25b5e · Cited by 127
Effects of Alzheimer Disease on Fronto-parietal Brain N-acetyl Aspartate and Myo-Inositol Using Magnetic Resonance Spectroscopic Imaging
Zhu, X., Schuff, N. W., Kornak, J., Soher, B. J., Yaffe, K. S., Kramer, J. H., Ezekiel, F., Miller, B. L., Jagust, W. J., & Weiner, M. W. (2006) · Alzheimer Disease & Associated Disorders · doi:10.1097/01.wad.0000213809.12553.fc · Cited by 123
Identifying Early Markers of Alzheimer's Disease using Quantitative Multiplex Proteomic Immunoassay Panels
Soares, H. D., Chen, Y., Sabbagh, M. N., Rohrer, A., Schrijvers, E. M. C., & Breteler, M. M. B. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05066.x · Cited by 112
Low Incidence of Post-Lumbar Puncture Headache in 1,089 Consecutive Memory Clinic Patients
Zetterberg, H., Tullhög, K., Hansson, O., Minthon, L., Londos, E., & Blennow, K. (2010) · European Neurology · doi:10.1159/000311703 · Cited by 109
IN VIVO MR SPECTROSCOPY OF HUMAN DEMENTIA
Ross, B. D., Blüml, S., Cowan, R. P., Danielsen, E. R., Farrow, N. A., & Tan, J. (1998) · Neuroimaging Clinics of North America · doi:10.1016/s1052-5149(25)00541-6 · Cited by 91
Military risk factors for Alzheimer's disease
Weiner, M. W., Friedl, K. E., Pacifico, A., Chapman, J. C., Jaffee, M. S., Little, D. M., Manley, G. T., McKee, A., Petersen, R. C., Pitman, R. K., et al. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.03.005 · Cited by 87
Semi-automated non-target processing in GC × GC–MS metabolomics analysis: applicability for biomedical studies
Koek, M. M., van der Kloet, F. M., Kleemann, R., Kooistra, T., Verheij, E. R., & Hankemeier, T. (2010) · Metabolomics · doi:10.1007/s11306-010-0219-6 · Cited by 86
Explicit and Implicit Memory in Late-Life Depression
Elderkin‐Thompson, V., Moody, T. D., Knowlton, B. J., Hellemann, G., & Kumar, A. A. (2010) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3181e89a5b · Cited by 83
Systematic review of the diagnostic utility of SPECT imaging in dementia
Yeo, J. M., Lim, X., Khan, Z. H., & Pal, S. (2013) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-013-0426-z · Cited by 82
Fluorodeoxyglucose-Positron Emission Tomography in the differential diagnosis of early-onset dementia: a prospective, community-based study
Panegyres, P. K., Rogers, J. M., McCarthy, M., Campbell, A., & Wu, J. S. (2009) · BMC Neurology · doi:10.1186/1471-2377-9-41 · Cited by 81
Circulating microRNAs in Alzheimer’s disease: the search for novel biomarkers
Dorval, V., Nelson, P. T., & Hébert, S. S. (2013) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2013.00024 · Cited by 81
18F-FDG PET Database of Longitudinally Confirmed Healthy Elderly Individuals Improves Detection of Mild Cognitive Impairment and Alzheimer's Disease
Mosconi, L., Tsui, W.-H., Pupi, A., Santi, S. D., Drzezga, A. E., Minoshima, S., & de Leon, M. J. (2007) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.040675 · Cited by 74
The costs of Alzheimer's disease and the value of effective therapies.
Stefanacci, R. G. (2011) · PubMed · Cited by 71
Understanding the pathogenesis of Alzheimer’s disease: will RNA‐Seq realize the promise of transcriptomics?
Sutherland, G. T., Janitz, M., & Kril, J. J. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.07157.x · Cited by 68
Safety of Lumbar Puncture Procedures in Patients with Alzheimers Disease
Peskind, E., Nordberg, A., Darreh-Shori, T., & Soininen, H. (2009) · Current Alzheimer Research · doi:10.2174/156720509788486509 · Cited by 66
High‐resolution 3D proton spectroscopic imaging of the human brain at 3 T: SNR issues and application for anatomy‐matched voxel sizes
Gruber, S., Mlynárik, V., & Moser, E. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10377 · Cited by 65
The impact of pre-analytical variables on the stability of neurofilament proteins in CSF, determined by a novel validated SinglePlex Luminex assay and ELISA
Simmelink, M. J. A., Vennegoor, A., Killestein, J., Blankenstein, M. A., Norgren, N., Korth, C., & Teunissen, C. E. (2013) · Journal of Immunological Methods · doi:10.1016/j.jim.2013.11.008 · Cited by 65
Validation of AclarusDx™, a Blood-Based Transcriptomic Signature for the Diagnosis of Alzheimer's Disease
Fehlbaum, P., on behalf of the EHTAD/002 study group, Sol, O., Désiré, L., Touchon, J., DANTOINE, T. F., Vercelletto, M., Gabelle, A., Jarrige, A.-C., Haddad, R., et al. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-120637 · Cited by 64
An MRI‐based index to measure the severity of Alzheimer's disease‐like structural pattern in subjects with mild cognitive impairment
Spulber, G., Simmons, A., Muehlboeck, J., Mecocci, P., Vellas, B. J., Tsolaki, M., Kłoszewska, I., Soininen, H., Spenger, C., Lovestone, S., et al. (2013) · Journal of Internal Medicine · doi:10.1111/joim.12028 · Cited by 63
Urea‐based two‐dimensional electrophoresis of beta‐amyloid peptides in human plasma: Evidence for novel Aβ species
Maler, J. M., Klafki, H., Paul, S., Spitzer, P., Groemer, T. W., Henkel, A. W., Esselmann, H., Lewczuk, P., Kornhuber, J., & Wiltfang, J. (2007) · PROTEOMICS · doi:10.1002/pmic.200700311 · Cited by 61
Molecular imaging in the diagnosis of Alzheimer's disease: visual assessment of [11C]PIB and [18F]FDDNP PET images
Tolboom, N., van der Flier, W. M., Boverhoff, J., Yaqub, M. M., Wattjes, M. P., Raijmakers, P. G. H. M., Barkhof, F., Scheltens, P., Herholz, K., Lammertsma, A. A., et al. (2010) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2009.194779 · Cited by 59
Biological and methodical challenges of blood-based proteomics in the field of neurological research
Lista, S., Faltraco, F., & Hampel, H. J. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.06.006 · Cited by 58
Metabolomics: a novel approach to identify potential diagnostic biomarkers and pathogenesis in Alzheimer’s disease
Xu, X., Huang, Y. M., Wang, G., & Chen, S. (2012) · Neuroscience Bulletin · doi:10.1007/s12264-012-1272-0 · Cited by 58
Diagnostic Value of FDG-PET and HMPAO-SPET in Patients with Mild Dementia and Mild Cognitive Impairment: Metabolic Index and Perfusion Index
Döbert, N., Pantel, J., Frölich, L., Hamscho, N., Menzel, C., & Grünwald, F. (2005) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000085857 · Cited by 50
Improving CSF biomarker accuracy in predicting prevalent and incident Alzheimer disease
Roe, C. M., Fagan, A. M., Williams, M., Ghoshal, N., Aeschleman, M., Grant, E., Marcus, D. S., Mintun, M. A., Holtzman, D. M., & Morris, J. C. (2011) · Neurology · doi:10.1212/wnl.0b013e31820af900 · Cited by 49
Anisotropic anomalous diffusion assessed in the human brain by scalar invariant indices
Santis, S. D., Gabrielli, A., Bozzali, M., Maraviglia, B., Macaluso, E., & Capuani, S. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22689 · Cited by 49
Pre-Analytical and Analytical Variability in Absolute Quantitative Mrm-Based Plasma Proteomic Studies
Percy, A. J., Parker, C. E., & Borchers, C. H. (2013) · Bioanalysis · doi:10.4155/bio.13.245 · Cited by 46
Effect of sample size for normal database on diagnostic performance of brain FDG PET for the detection of Alzheimer's disease using automated image analysis
Chen, W.-P., Samuraki, M., Yanase, D., Shima, K., Takeda, N., Ono, K., Yoshita, M., Nishimura, S., Yamada, M., & Matsunari, I. (2008) · Nuclear Medicine Communications · doi:10.1097/mnm.0b013e3282f3fa76 · Cited by 39
SPECT imaging in dementia
Pimlott, S. L., & Ebmeier, K. P. (2007) · British Journal of Radiology · doi:10.1259/bjr/89285735 · Cited by 37
Regional Cerebral Glucose Metabolism in Aging and Senile Dementia as Determined by 18F-Deoxyglucose and Positron Emission Tomography
Alavi, A. A., Reivich, M., Ferris, S. H., et al. (1982) · Experimental brain research. Supplementum · doi:10.1007/978-3-642-68507-1_26 · Cited by 35
Advanced MR diffusion characterization of neural tissue using directional diffusion kurtosis analysis
Hui, E. S. K., Cheung, M. M., Qi, L., & Wu, E. X. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4650072 · Cited by 33
An 1H‐MRS framework predicts the onset of Alzheimer's disease symptoms in PSEN1 mutation carriers
Londoño, A. C., Castellanos, F. X., Arbeláez, A., Ruiz‐Rizzo, A. L., Aguirre–Acevedo, D. C., Richardson, A., Easteal, S., Lidbury, B. A., Arcos‐Burgos, M., & Lopera, F. J. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.08.282 · Cited by 30
Response of the monkey cholinergic septohippocampal system to fornix transection: A histochemical and cytochemical analysis
Kordower, J. H., & Fiandaca, M. S. (1990) · The Journal of Comparative Neurology · doi:10.1002/cne.902980406 · Cited by 25
Self-citation
A Two-Study Comparison of Clinical and MRI Markers of Transition from Mild Cognitive Impairment to Alzheimer’s Disease
Devanand, D. P., Liu, X., Brown, P. J., Huey, E. D., Stern, Y., & Pelton, G. H. (2012) · International Journal of Alzheimer s Disease · doi:10.1155/2012/483469 · Cited by 23
Multivariate Spatial Covariance Analysis of 99M Tc-Exametazime SPECT Images in Dementia with Lewy Bodies and Alzheimer'S Disease: Utility in Differential Diagnosis
Colloby, S. J., Taylor, J., Davison, C. M., Lloyd, J. J., Firbank, M., McKeith, I. G., & O'Brien, J. T. (2013) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2013.2 · Cited by 20
ROC‐Based Utility Function Maximization for Feature Selection and Classification with Applications to High‐Dimensional Protease Data
Liu, Z., & Tan, M. T. (2008) · Biometrics · doi:10.1111/j.1541-0420.2008.01015.x · Cited by 19
Self-citation
Progress Towards a Consensus on Biomarkers for Alzheimer‘S Disease: A Review of Peripheral Analytes
Rembach, A., Ryan, T. M., Roberts, B. R., Doecke, J. D., Wilson, W. J., Watt, A. D., Barnham, K. J., & Masters, C. L. (2013) · Biomarkers in Medicine · doi:10.2217/bmm.13.59 · Cited by 18
Collection and Handling of Blood Specimens for Peptidomics
Tammen, H., & Hess, R. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-068-3_9 · Cited by 14
Iatrogenic bacterial meningitis: an unmasked threat
Barnwell, R. M., & Ball, V. L. (2012) · Canadian Journal of Emergency Medicine · doi:10.2310/8000.2011.110316 · Cited by 9

Alzheimer's disease
Scheltens, P., De Strooper, B., Kivipelto, M., Holstege, H., Chételat, G., Teunissen, C. E., Cummings, J., & van der Flier, W. M. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32205-4 · Cited by 5,465
Alzheimer’s Disease
Scheltens, P., Blennow, K., Breteler, M. M. B., de Strooper, B., Frisoni, G. B., Salloway, S., & Van der Flier, W. M. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01124-1 · Cited by 3,125
Preclinical Alzheimer’s Disease: Definition, Natural History, and Diagnostic Criteria
Dubois, B., Hampel, H., Feldman, H. H., Scheltens, P., Aisen, P., Andrieu, S., Bakardjian, H., Benali, H., Bertram, L., Blennow, K., et al. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.02.002 · Cited by 1,925
Defeating Alzheimer's disease and other dementias: a priority for European science and society
Winblad, B., Amouyel, P., Andrieu, S., Ballard, C., Brayne, C., Brodaty, H., Cedazo-Minguez, A., Dubois, B., Edvardsson, D., Feldman, H., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)00062-4 · Cited by 1,676
Identification of preclinical Alzheimer's disease by a profile of pathogenic proteins in neurally derived blood exosomes: A case‐control study
Fiandaca, M. S., Kapogiannis, D., Mapstone, M., Boxer, A., Eitan, E., Schwartz, J. B., Abner, E. L., Petersen, R. C., Federoff, H. J., Miller, B. L., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.06.008 · Cited by 959
Self-citation

See all 1,043

Authors: Mapstone, M., Cheema, A. K., Fiandaca, M. S., Zhong, X., Mhyre, T. R., MacArthur, L. H., Hall, W. J., Fisher, S. G., Peterson, D. R., Haley, J. M., Nazar, M. D., Rich, S. A., Berlau, D. J., Peltz, C. B., Tan, M. T., Kawas, C. H., & Federoff, H. J.
Venue: Nature Medicine
Publisher: Springer Science and Business Media LLC
Published: 2014-03-09
Volume: 20
Issue: 4
Pages: 415-418
ISSN: 1078-8956 (ISSN-L)
1546-170X
DOI: 10.1038/nm.3466
OpenAlex: W1985058290
Cited by: 1,043
References: 156
FWCI: 89.16
Type: journal article
Language: en
Open access: green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.

Plasma phospholipids identify antecedent memory impairment in older adults

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cites

Cited by

Metadata

Record

About these checks

Data sources