Biomarker-based signature of alzheimer's disease in pre-MCI individuals

Chipi, Elena; Salvadori, Nicola; Farotti, Lucia; Parnetti, Lucilla

doi:10.3390/brainsci9090213

Cited by 27Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

Biomarker-based signature of alzheimer's disease in pre-MCI individuals

Open access

Chipi, Elena, Salvadori, Nicola, Farotti, Lucia, Parnetti, Lucilla·2019·Brain Sciences

DOI 10.3390/brainsci9090213PMC PMC6769621

Open this paper in CoChat — free account Open PDF

Abstract

Alzheimer's disease (AD) pathology begins decades before the onset of clinical symptoms. It is recognized as a clinicobiological entity, being detectable in vivo independently of the clinical stage by means of pathophysiological biomarkers. Accordingly, neuropathological studies that were carried out on healthy elderly subjects, with or without subjective experience of cognitive decline, reported evidence of AD pathology in a high proportion of cases. At present, mild cognitive impairment (MCI) represents the only clinically diagnosed pre-dementia stage. Several attempts have been carried out to detect AD as early as possible, when subtle cognitive alterations, still not fulfilling MCI criteria, appear. Importantly, pre-MCI individuals showing the positivity of pathophysiological AD biomarkers show a risk of progression similar to MCI patients. In view of successful treatment with disease modifying agents, in a clinical setting, a timely diagnosis is mandatory. In clinical routine, biomarkers assessment should be taken into consideration whenever a subject with subtle cognitive deficits (pre-MCI), who is aware of his/her decline, requests to know the cause of such disturbances. In this review, we report the available neuropsychological and biomarkers data that characterize the pre-MCI patients, thus proposing pre-MCI as the first clinical manifestation of AD.

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 · 10.3390/brainsci9090213

Cites

154 of 154 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.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Increased sensitivity in detection of cognitive decline comes at the expense of reduced specificity, and numerous other causes than neurodegeneration or Alzheimer's disease can be responsible for observed changes.
“However, this increased sensitivity in the detection of cognitive decline comes at the expense of a reduced specificity, and numerous other causes than neurodegeneration or Alzheimer’s disease can be responsible for the observed changes, such as metabolic disorders, psychiatric disorders, or sleep apnoea.72”
From Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group (2021) · cites this paper as [72]

Self-check

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

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

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 · see citing works
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · see citing works
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
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 · cited 1× · see citing works
“In the biomarker era, the NIA-AA research group defined MCI as “due to AD” in the presence of biomarkers positivity [9].”
Method
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
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 · see citing works
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358 · see citing works
Mild cognitive impairment – Beyond controversies, towards a consensus: Report of the International Working Group on Mild Cognitive Impairment.
Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L. ‐., Nordberg, A., Bäckman, L., Albert, M., Almkvist, O., et al. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01380.x · Cited by 4,946 · see citing works
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781 · see citing works
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 · see citing works
Neuropathological alterations in Alzheimer disease
Serrano-Pozo, A., Frosch, M. P., Masliah, E., & Hyman, B. T. (2011) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006189 · Cited by 3,345 · see citing works
Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria
Dubois, B., Feldman, H. H., Jacova, C., Hampel, H., Molinuevo, J. L., Blennow, K., DeKosky, S. T., Gauthier, S., Selkoe, D., Bateman, R., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70090-0 · Cited by 3,321 · see citing works
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 · see citing works
A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease
Jessen, F., Amariglio, R. E., van Boxtel, M., Breteler, M., Ceccaldi, M., Chételat, G., Dubois, B., Dufouil, C., Ellis, K. A., van der Flier, W. M., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.01.001 · Cited by 3,014 · see citing works
National Institute on Aging–Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease: a practical approach
Montine, T. J., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., Mirra, S. S., et al. (2012) · Acta Neuropathologica · doi:10.1007/s00401-011-0910-3 · Cited by 2,992 · cited 1× · see citing works
“Autoptic confirmation of AD pathology has been associated with in vivo evidences of subtle longitudinal decline in different cognitive domains [38,39].”
Background
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 · see citing works
Revising the definition of Alzheimer's disease: a new lexicon
Dubois, B., Feldman, H. H., Jacova, C., Cummings, J. L., DeKosky, S. T., Barberger-Gateau, P., Delacourte, A., Frisoni, G., Fox, N. C., Galasko, D., et al. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70223-4 · Cited by 1,869 · see citing works
A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Feldman, H. H., Frisoni, G. B., Hampel, H., Jagust, W. J., Johnson, K. A., Knopman, D. S., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002923 · Cited by 1,864 · see citing works
Prevalence of Cerebral Amyloid Pathology in Persons Without Dementia: A Meta-analysis
Jansen, W. J., Ossenkoppele, R., Knol, D. L., Tijms, B. M., Scheltens, P., Verhey, F. R. J., Visser, P. J., Aalten, P., Aarsland, D., Alcolea, D., et al. (2015) · JAMA · doi:10.1001/jama.2015.4668 · Cited by 1,610 · see citing works
Self-citation
Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: meta-analysis
Mitchell, A. J., Beaumont, H., Ferguson, D. Y., Yadegarfar, M., & Stubbs, B. (2014) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12336 · Cited by 1,171 · see citing works
The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals
Dickerson, B. C., Bakkour, A., Salat, D. H., Feczko, E., Pacheco, J., Greve, D. N., Grodstein, F., Wright, C. I., Blacker, D., Rosas, H. D., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn113 · Cited by 1,153 · see citing works
The Preclinical Alzheimer Cognitive Composite: Measuring Amyloid-Related Decline
Donohue, M. C., Sperling, R. A., Salmon, D. P., Rentz, D. M., Raman, R., Thomas, R. G., Weiner, M., & Aisen, P. S. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.803 · Cited by 860 · see citing works
Longitudinal assessment of Aβ and cognition in aging and Alzheimer disease
Villemagne, V. L., Pike, K. E., Chételat, G., Ellis, K. A., Mulligan, R. S., Bourgeat, P., Ackermann, U., Jones, G., Szoeke, C., Salvado, O., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22248 · Cited by 833 · see citing works
Prediction of Dementia by Subjective Memory Impairment Effects of Severity and Temporal Association With Cognitive Impairment Dementia and Subjective Memory Impairment
Jessen, F. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.30 · Cited by 681 · see citing works
A COMPARATIVE STUDY OF VISUOSPATIAL MEMORY AND LEARNING IN ALZHEIMER-TYPE DEMENTIA AND PARKINSON'S DISEASE
SAHAKIAN, B. J., MORRIS, R. G., EVENDEN, J. L., HEALD, A., LEVY, R., PHILPOT, M., & ROBBINS, T. W. (1988) · Brain · doi:10.1093/brain/111.3.695 · Cited by 666 · see citing works
Neuropathology of nondemented aging: presumptive evidence for preclinical Alzheimer disease
Price, J. L., McKeel, D. W., Buckles, V. D., Roe, C. M., Xiong, C., Grundman, M., Hansen, L. A., Petersen, R. C., Parisi, J. E., Dickson, D. W., et al. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.04.002 · Cited by 661 · see citing works
Development and assessment of a composite score for memory in the Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Initiative, A. D. N., Crane, P. K., Carle, A. C., Gibbons, L. E., Insel, P. S., Mackin, R. S., Gross, A. L., Jones, R. N., Mukherjee, S., Curtis, S. M., et al. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9186-z · Cited by 615 · see citing works
Prevalence and prognostic value of CSF markers of Alzheimer's disease pathology in patients with subjective cognitive impairment or mild cognitive impairment in the DESCRIPA study: a prospective cohort study
Visser, P. J., Verhey, F., Knol, D. L., Scheltens, P., Wahlund, L.-O., Freund-Levi, Y., Tsolaki, M., Minthon, L., Wallin, Å. K., Hampel, H., et al. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70139-5 · Cited by 614 · see citing works
Implementation of subjective cognitive decline criteria in research studies
Molinuevo, J. L., Rabin, L. A., Amariglio, R., Buckley, R., Dubois, B., Ellis, K. A., Ewers, M., Hampel, H., Klöppel, S., Rami, L., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.09.012 · Cited by 575 · see citing works
Outcome over seven years of healthy adults with and without subjective cognitive impairment
Reisberg, B., Shulman, M. B., Torossian, C., Leng, L., & Zhu, W. (2010) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2009.10.002 · Cited by 568 · see citing works
Association of Adherence to a Healthy Diet with Cognitive Decline in European and American Older Adults: A Meta-Analysis within the CHANCES Consortium
Berendsen, A. A. M., Kang, J. H., van de Rest, O., Jankovic, N., Kampman, E., Jong, J. C. K., Franco, O. H., Ikram, M. A., Pikhart, H., Nilsson, L. M., et al. (2017) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000464269 · Cited by 565 · see citing works
Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study
Vos, S. J., Xiong, C., Visser, P. J., Jasielec, M. S., Hassenstab, J., Grant, E. A., Cairns, N. J., Morris, J. C., Holtzman, D. M., & Fagan, A. M. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70194-7 · Cited by 564 · see citing works
Subjective cognitive complaints and amyloid burden in cognitively normal older individuals
Amariglio, R. E., Becker, J. A., Carmasin, J., Wadsworth, L. P., Lorius, N., Sullivan, C., Maye, J. E., Gidicsin, C., Pepin, L. C., Sperling, R. A., et al. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.08.011 · Cited by 472 · see citing works
Subjective Cognitive Decline in Older Adults: An Overview of Self-Report Measures Used Across 19 International Research Studies
Rabin, L. A., Initiative, T. A. D. N., Smart, C. M., Crane, P. K., Amariglio, R. E., Berman, L., Boada, M., Buckley, R. F., Chételat, G., Dubois, B., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150154 · Cited by 472 · see citing works
Association Between Elevated Brain Amyloid and Subsequent Cognitive Decline Among Cognitively Normal Persons
Donohue, M. C., Sperling, R. A., Petersen, R., Sun, C.-K., Weiner, M. W., Aisen, P. S., & Initiative, F. T. A. D. N. (2017) · JAMA · doi:10.1001/jama.2017.6669 · Cited by 452 · see citing works
Subjective cognitive decline and rates of incident Alzheimer's disease and non-Alzheimer's disease dementia
Slot, R. E. R., Sikkes, S. A. M., Berkhof, J., Brodaty, H., Buckley, R., Cavedo, E., Dardiotis, E., Guillo‐Benarous, F., Hampel, H., Kochan, N. A., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.10.003 · Cited by 428 · see citing works
Alzheimer-signature MRI biomarker predicts AD dementia in cognitively normal adults
Dickerson, B. C., Stoub, T. R., Shah, R. C., Sperling, R. A., Killiany, R., Albert, M., Hyman, B. T., Blacker, D., & deToledo‐Morrell, L. (2011) · Neurology · doi:10.1212/wnl.0b013e3182166e96 · Cited by 380 · see citing works
Relationship between atrophy and β‐amyloid deposition in Alzheimer disease
Chételat, G., Villemagne, V. L., Bourgeat, P., Pike, K. E., Jones, G., Ames, D., Ellis, K. A., Szoeke, C., Martins, R. N., O'Keefe, G. J., et al. (2010) · Annals of Neurology · doi:10.1002/ana.21955 · Cited by 373 · see citing works
The Dynamics of Cortical and Hippocampal Atrophy in Alzheimer Disease
Sabuncu, M. R. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.167 · Cited by 360 · see citing works
Amyloid‐β associated cortical thinning in clinically normal elderly
Becker, J. A., Hedden, T., Carmasin, J., Maye, J., Rentz, D. M., Putcha, D., Fischl, B., Greve, D. N., Marshall, G. A., Salloway, S., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22333 · Cited by 342 · see citing works
Meta-analysis of amyloid-cognition relations in cognitively normal older adults
Hedden, T., Oh, H., Younger, A. P., & Patel, T. A. (2013) · Neurology · doi:10.1212/wnl.0b013e31828ab35d · Cited by 320 · see citing works
Cerebrospinal fluid markers for differential dementia diagnosis in a large memory clinic cohort
Schoonenboom, N. S. M., Reesink, F. E., Verwey, N. A., Kester, M. I., Teunissen, C. E., van de Ven, P. M., Pijnenburg, Y. A. L., Blankenstein, M. A., Rozemuller, A. J., Scheltens, P., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31823ed0f0 · Cited by 302 · see citing works
Subjective Cognition and Amyloid Deposition Imaging: A Pittsburgh Compound B Positron Emission Tomography Study in Normal Elderly Individuals
Perrotin, A. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.666 · Cited by 300 · see citing works
A Review of Fluid Biomarkers for Alzheimer’s Disease: Moving from CSF to Blood
Blennow, K. (2017) · Neurology and Therapy · doi:10.1007/s40120-017-0073-9 · Cited by 295 · see citing works
Longitudinal Cerebrospinal Fluid Biomarker Changes in Preclinical Alzheimer Disease During Middle Age
Sutphen, C. L., Jasielec, M. S., Shah, A. R., Macy, E. M., Xiong, C., Vlassenko, A. G., Benzinger, T. L. S., Stoops, E., Vanderstichele, H., Brix, B., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.1285 · Cited by 294 · see citing works
Longitudinal course and neuropathologic outcomes in original vs revised MCI and in pre-MCI
Storandt, M., Grant, E., Miller, J. P., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228231.26111.6e · Cited by 285 · see citing works
Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment
Scheef, L., Spottke, A., Daerr, M., Joe, A., Striepens, N., Kölsch, H., Popp, J., Daamen, M., Gorris, D., Heneka, M. T., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826c1a8d · Cited by 277 · see citing works
Cerebrospinal Fluid Aβ 42/40 Corresponds Better than Aβ 42 to Amyloid PET in Alzheimer’s Disease
Lewczuk, P., Matzen, A., Blennow, K., Parnetti, L., Molinuevo, J. L., Eusebi, P., Kornhuber, J., Morris, J. C., & Fagan, A. M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160722 · Cited by 263 · see citing works
Self-citation
Structural MRI changes detectable up to ten years before clinical Alzheimer's disease
Tondelli, M., Wilcock, G. K., Nichelli, P., de Jager, C. A., Jenkinson, M., & Zamboni, G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.05.018 · Cited by 251 · see citing works
Short-term clinical outcomes for stages of NIA-AA preclinical Alzheimer disease
Knopman, D. S., Jack, C. R., Wiste, H. J., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182563bbe · Cited by 243 · see citing works
MRI cortical thickness biomarker predicts AD-like CSF and cognitive decline in normal adults
Dickerson, B. C., & Wolk, D. A. (2011) · Neurology · doi:10.1212/wnl.0b013e31823efc6c · Cited by 243 · see citing works
Cognitive and neuroimaging features and brain β-amyloidosis in individuals at risk of Alzheimer's disease (INSIGHT-preAD): a longitudinal observational study
Dubois, B., Epelbaum, S., Nyasse, F., Bakardjian, H., Gagliardi, G. P., Uspenskaya, O., Houot, M., Lista, S., Cacciamani, F., Potier, M., et al. (2018) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30029-2 · Cited by 239 · see citing works
Hypometabolism and Altered Cerebrospinal Fluid Markers in Normal Apolipoprotein E E4 Carriers with Subjective Memory Complaints
Mosconi, L., De Santi, S., Brys, M., Tsui, W. H., Pirraglia, E., Glodzik-Sobanska, L., Rich, K. E., Switalski, R., Mehta, P. D., Pratico, D., et al. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.05.030 · Cited by 238 · see citing works
Design and first baseline data of the DZNE multicenter observational study on predementia Alzheimer’s disease (DELCODE)
Jessen, F., Spottke, A. E., Boecker, H., Brosseron, F., Büerger, K., Catak, C., Fließbach, K., Franke, C., Fuentes, M., Heneka, M. T., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-017-0314-2 · Cited by 233 · see citing works
Amyloid imaging and CSF biomarkers in predicting cognitive impairment up to 7.5 years later
Roe, C. M., Fagan, A. M., Grant, E. A., Hassenstab, J., Moulder, K. L., Maue Dreyfus, D., Sutphen, C. L., Benzinger, T. L. S., Mintun, M. A., Holtzman, D. M., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182918ca6 · Cited by 222 · see citing works
Effect of amyloid on memory and non-memory decline from preclinical to clinical Alzheimer’s disease
Lim, Y. Y., Maruff, P. T., Pietrzak, R. H., Ames, D. J., Ellis, K. A., Harrington, K., Lautenschlager, N. T., Szoeke, C. E. I., Martins, R. N., Masters, C. L., et al. (2013) · Brain · doi:10.1093/brain/awt286 · Cited by 207 · see citing works
Free and Cued Selective Reminding Identifies Very Mild Dementia in Primary Care
Grober, E. H., Sanders, A. E., Hall, C. B., & Lipton, R. B. (2010) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e3181cfc78b · Cited by 205 · see citing works
Cognitive impairment and decline in cognitively normal older adults with high amyloid‐β: A meta‐analysis
Baker, J. E., Lim, Y. Y., Pietrzak, R. H., Hassenstab, J. J., Snyder, P. J., Masters, C. L., & Maruff, P. T. (2016) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.09.002 · Cited by 203 · see citing works
Tracking Early Decline in Cognitive Function in Older Individuals at Risk for Alzheimer Disease Dementia
Amariglio, R. E., Donohue, M., Marshall, G. A., Rentz, D. M., Salmon, D. P., Ferris, S. H., Karantzoulis, S., Aisen, P. S. S., & Sperling, R. A. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.3375 · Cited by 201 · see citing works
Early and late change on the preclinical Alzheimer's cognitive composite in clinically normal older individuals with elevated amyloid β
Mormino, E. C., Papp, K. V., Rentz, D. M., Donohue, M., Amariglio, R. E., Quiroz, Y. T., Chhatwal, J. P., Marshall, G. A., Donovan, N. J., Jackson, J., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.01.018 · Cited by 200 · see citing works
The clinical use of cerebrospinal fluid biomarker testing for Alzheimer's disease diagnosis: A consensus paper from the Alzheimer's Biomarkers Standardization Initiative
Molinuevo, J. L., Blennow, K., Dubois, B., Engelborghs, S., Lewczuk, P., Perret‐Liaudet, A., Teunissen, C. E., & Parnetti, L. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.03.003 · Cited by 198 · see citing works
Self-citation
Subjective memory decline predicts greater rates of clinical progression in preclinical Alzheimer's disease
Buckley, R. F., Maruff, P. T., Ames, D. J., Bourgeat, P., Martins, R. N., Masters, C. L., Rainey‐Smith, S. R., Lautenschlager, N. T., Rowe, C. C., Savage, G. R., et al. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.12.013 · Cited by 198 · see citing works
Cerebrospinal fluid Aβ42 is the best predictor of clinical progression in patients with subjective complaints
van Harten, A. C., Visser, P. J., Pijnenburg, Y. A. L., Teunissen, C. E., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.08.004 · Cited by 197 · see citing works
Promising developments in neuropsychological approaches for the detection of preclinical Alzheimer’s disease: a selective review
Rentz, D. M., Parra, M. A., Amariglio, R. E., Stern, Y., Sperling, R. A., & Ferris, S. H. (2013) · Alzheimer s Research & Therapy · doi:10.1186/alzrt222 · Cited by 196 · see citing works
Association of Elevated Amyloid Levels With Cognition and Biomarkers in Cognitively Normal People From the Community
Petersen, R. C., Wiste, H. J., Weigand, S. D., Rocca, W. A., Roberts, R. O., Mielke, M. M., Lowe, V. J., Knopman, D. S., Pankratz, V. S., Machulda, M. M., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2015.3098 · Cited by 196 · see citing works
Subtle Cognitive Decline and Biomarker Staging in Preclinical Alzheimer’s Disease
Edmonds, E. C., Initiative, A. D. N., Delano‐Wood, L., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150128 · Cited by 195 · see citing works
Prevalence and risk of progression of preclinical Alzheimer’s disease stages: a systematic review and meta-analysis
Parnetti, L., Chipi, E., Salvadori, N., D’Andrea, K., & Eusebi, P. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0459-7 · Cited by 194 · see citing works
Self-citation
Subjective cognitive complaints and longitudinal changes in memory and brain function.
Hohman, T. J., Beason‐Held, L. L., Lamar, M., & Resnick, S. M. (2010) · Neuropsychology · doi:10.1037/a0020859 · Cited by 193 · see citing works
Memory complaints are related to Alzheimer disease pathology in older persons
Barnes, L. L., Schneider, J. A., Boyle, P. A., Bienias, J. L., & Bennett, D. A. (2006) · Neurology · doi:10.1212/01.wnl.0000242734.16663.09 · Cited by 192 · see citing works
Self-reported memory complaints
Kryscio, R. J., Abner, E. L., Cooper, G. E., Fardo, D. W., Jicha, G. A., Nelson, P. T., Smith, C. D., Eldik, L. J. V., Wan, L., & Schmitt, F. A. (2014) · Neurology · doi:10.1212/wnl.0000000000000856 · Cited by 191 · see citing works
Increased Functional Connectivity and Brain Atrophy in Elderly with Subjective Memory Complaints
Hafkemeijer, A., Altmann‐Schneider, I., Oleksik, A. M., van de Wiel, L., Middelkoop, H. A. M., van Buchem, M. A., van der Grond, J., & Rombouts, S. A. R. B. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0144 · Cited by 169 · see citing works
Cognitive performance before and after the onset of subjective cognitive decline in old age
Koppara, A., Wagner, M., Lange, C., Ernst, A., Wiese, B., König, H., Brettschneider, C., Riedel-Heller, S. G., Luppa, M., Weyerer, S. B., et al. (2015) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2015.02.005 · Cited by 167 · see citing works
Subjective cognitive concerns, amyloid-β, and neurodegeneration in clinically normal elderly
Amariglio, R. E., Mormino, E. C., Pietras, A., Marshall, G. A., Vannini, P., Johnson, K. A., Sperling, R. A., & Rentz, D. M. (2015) · Neurology · doi:10.1212/wnl.0000000000001712 · Cited by 166 · see citing works
Gray matter atrophy pattern in elderly with subjective memory impairment
Peter, J., Scheef, L., Abdulkadir, A., Boecker, H., Heneka, M., Wagner, M., Koppara, A., Klöppel, S., Jessen, F., & Initiative, A. D. N. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.05.1764 · Cited by 165 · see citing works
Biochemical stages of amyloid-β peptide aggregation and accumulation in the human brain and their association with symptomatic and pathologically preclinical Alzheimer’s disease
Upadhaya, A. R., Kosterin, I., Kumar, S., Arnim, C. A. F. V., Yamaguchi, H., Fändrich, M., Walter, J., & Thal, D. R. (2014) · Brain · doi:10.1093/brain/awt362 · Cited by 165 · see citing works
Hippocampal dysfunction in patients with mild cognitive impairment: A functional neuroimaging study of a visuospatial paired associates learning task
de Rover, M., Pironti, V. A., McCabe, J. A., Acosta‐Cabronero, J., Arana, F. S., Morein‐Zamir, S., Hodges, J. R., Robbins, T. W., Fletcher, P. C., Nestor, P. J., et al. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.03.037 · Cited by 163 · see citing works
[ 18 F]flutemetamol amyloid positron emission tomography in preclinical and symptomatic Alzheimer's disease: Specific detection of advanced phases of amyloid‐β pathology
Thal, D. R., Beach, T. G., Zanette, M., Heurling, K., Chakrabarty, A., Ismail, A., Smith, A. P. L., & Buckley, C. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.05.018 · Cited by 159 · see citing works
Independent contribution of temporal β-amyloid deposition to memory decline in the pre-dementia phase of Alzheimer’s disease
Chételat, G., Villemagne, V. L., Pike, K. E., Ellis, K. A., Bourgeat, P., Jones, G. R., O'Keefe, G. J., Salvado, O., Szoeke, C. E. I., Martins, R. N., et al. (2011) · Brain · doi:10.1093/brain/awq383 · Cited by 153 · see citing works
Regional amyloid burden and intrinsic connectivity networks in cognitively normal elderly subjects
Lim, H. K., Nebes, R. D., Snitz, B. E., Cohen, A. D., Mathis, C. A., Price, J. C., Weissfeld, L. A., Klunk, W. E., & Aizenstein, H. J. (2014) · Brain · doi:10.1093/brain/awu271 · Cited by 148 · see citing works
Trajectories of the Hippocampal Subfields Atrophy in the Alzheimer’s Disease: A Structural Imaging Study
Zhao, W., Wang, X., Yin, C., He, M., Li, S., & Han, Y. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00013 · Cited by 145 · see citing works
Preclinical AD predicts decline in memory and executive functions in subjective complaints
van Harten, A. C., Smits, L. L., Teunissen, C. E., Visser, P. J., Koene, T., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2013) · Neurology · doi:10.1212/wnl.0b013e3182a8418b · Cited by 143 · see citing works
Association of Cerebral Amyloid-β Aggregation With Cognitive Functioning in Persons Without Dementia
Jansen, W. J., Ossenkoppele, R., Tijms, B. M., Fagan, A. M., Hansson, O., Klunk, W. E., van der Flier, W. M., Villemagne, V. L., Frisoni, G. B., Fleisher, A., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.3391 · Cited by 140 · see citing works
Self-citation
Pre-MCI and MCI: Neuropsychological, Clinical, and Imaging Features and Progression Rates
Duara, R., Loewenstein, D., Potter, E., Barker, W., Raj, A., Schoenberg, M. R., Wu, Y., Banko, J. L., Potter, H., Greig, M. T., et al. (2011) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3182107c69 · Cited by 137 · see citing works
Alzheimer's disease cerebrospinal fluid biomarker in cognitively normal subjects
Toledo, J. B., Zetterberg, H., van Harten, A. C., Glodzik, L., Martinez-Lage, P., Bocchio-Chiavetto, L., Rami, L., Hansson, O., Sperling, R., Engelborghs, S., et al. (2015) · Brain · doi:10.1093/brain/awv199 · Cited by 136 · see citing works
An empirically derived composite cognitive test score with improved power to track and evaluate treatments for preclinical Alzheimer's disease
Langbaum, J. B. S., Hendrix, S. B., Ayutyanont, N., Chen, K., Fleisher, A., Shah, R. C., Barnes, L. L., Bennett, D. A., Tariot, P. N., & Reiman, E. M. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.02.002 · Cited by 128 · see citing works
Amyloid-β associated volume loss occurs only in the presence of phospho-tau
Desikan, R., McEvoy, L., Thompson, W., Holland, D., Roddey, J., Blennow, K., Aisen, P., Brewer, J., Hyman, B., & Dale, A. (2011) · Annals of Neurology · doi:10.1002/ana.22509 · Cited by 123 · see citing works
Metabolic Networks Underlying Cognitive Reserve in Prodromal Alzheimer Disease: A European Alzheimer Disease Consortium Project
Morbelli, S. D., Perneczky, R., Drzezga, A. E., Frisoni, G. B., Caroli, A., van Berckel, B. N. M., Ossenkoppele, R., Guedj, É., Didic, M., Brugnolo, A., et al. (2013) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.113928 · Cited by 120 · see citing works
Hippocampal Subfield Volumetry and 3D Surface Mapping in Subjective Cognitive Decline
Perrotin, A., de Flores, R., Lamberton, F., Poisnel, G., La Joie, R., de la Sayette, V., Mézenge, F., Tomadesso, C., Landeau, B., Desgranges, B., et al. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150087 · Cited by 119 · see citing works
Subjective memory complaints, cortical thinning, and cognitive dysfunction in middle‐age adults at risk of AD
Schultz, S. A., Oh, J. M., Koscik, R. L., Dowling, N. M., Gallagher, C. L., Carlsson, C. M., Bendlin, B. B., LaRue, A., Hermann, B. P., Rowley, H. A., et al. (2015) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2014.11.010 · Cited by 117 · see citing works
Cerebrospinal Fluid Biomarkers and Clinical Progression in Patients with Subjective Cognitive Decline and Mild Cognitive Impairment
Wolfsgruber, S., Polcher, A., Koppara, A., Kleineidam, L., Frölich, L., Peters, O., Hüll, M., Rüther, E., Wiltfang, J., Maier, W., et al. (2017) · Journal of Alzheimer's Disease · doi:10.3233/jad-161252 · Cited by 114 · see citing works
Alzheimer’s disease CSF biomarkers: clinical indications and rational use
Niemantsverdriet, E., Valckx, S., Bjerke, M., & Engelborghs, S. (2017) · Acta Neurologica Belgica · doi:10.1007/s13760-017-0816-5 · Cited by 113 · see citing works
Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects
Ewers, M., Brendel, M., Rizk‐Jackson, A., Rominger, A., Bartenstein, P., Schuff, N. W., & Weiner, M. W. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.10.018 · Cited by 111 · see citing works
Cognitively Preserved Subjects with Transitional Cerebrospinal Fluid ß-Amyloid 1-42 Values Have Thicker Cortex in Alzheimer's Disease Vulnerable Areas
Fortea, J., Sala‐Llonch, R., David Bartrés-faz, A., Lladó, A., Solé‐Padullés, C., Bosch, B., Antonell, A., Olives, J., Sánchez‐Valle, R., Molinuevo, J. L., et al. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.02.017 · Cited by 111 · see citing works
Inferring changepoint times of medial temporal lobe morphometric change in preclinical Alzheimer's disease
Laurent Younes, B., Albert, M., & Miller, M. I. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.04.009 · Cited by 110 · see citing works
Longitudinal brain structural changes in preclinical Alzheimer's disease
Pegueroles, J., Vilaplana, E., Montal, V., Sampedro, F., Alcolea, D. A., Carmona‐Iragui, M., Clarimón, J., Blesa, R., Lleó, A., Fortea, J., et al. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.08.010 · Cited by 109 · see citing works
Executive Function Changes before Memory in Preclinical Alzheimer’s Pathology: A Prospective, Cross-Sectional, Case Control Study
Harrington, M. G., Chiang, J., Pogoda, J. M., Gomez, M. E., Thomas, K., Marion, S., Miller, K. J., Siddarth, P., Yi, X., Zhou, F., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079378 · Cited by 107 · see citing works
Sensitivity of composite scores to amyloid burden in preclinical Alzheimer's disease: Introducing the Z-scores of Attention, Verbal fluency, and Episodic memory for Nondemented older adults composite score
Lim, Y., Snyder, P., Pietrzak, R., Ukiqi, A., Villemagne, V., Ames, D., Salvado, O., Bourgeat, P., Martins, R., Masters, C., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.dadm.2015.11.003 · Cited by 107 · see citing works
Phosphorylation of the amyloid β-peptide at Ser26 stabilizes oligomeric assembly and increases neurotoxicity
Kumar, S., Wirths, O., Stüber, K., Wunderlich, P., Koch, P., Theil, S., Rezaei‐Ghaleh, N., Zweckstetter, M., Bayer, T. A., Brüstle, O., et al. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1546-0 · Cited by 106 · see citing works
Relation of neuropathology with cognitive decline among older persons without dementia
Boyle, P. A., Yu, L., Wilson, R. S., Schneider, J. A., & Bennett, D. A. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2013.00050 · Cited by 105 · see citing works
CSF biomarker changes precede symptom onset of mild cognitive impairment
Moghekar, A., Li, S., Lu, Y., Li, M., Wang, M.-C., Albert, M., O’Brien, R., & For the BIOCARD Research Team (2013) · Neurology · doi:10.1212/01.wnl.0000435558.98447.17 · Cited by 103 · see citing works
Detectable Neuropsychological Differences in Early Preclinical Alzheimer’s Disease: A Meta-Analysis
Han, D.-K. S., Nguyen, C. P., Stricker, N., & Nation, D. (2017) · Neuropsychology Review · doi:10.1007/s11065-017-9345-5 · Cited by 103 · see citing works
Applicability of the CANTAB-PAL Computerized Memory Test in Identifying Amnestic Mild Cognitive Impairment and Alzheimer’s Disease
Junkkila, J., Oja, S., Laine, M., & Karrasch, M. (2012) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000342116 · Cited by 93 · see citing works
Amyloid-β Imaging in Older Adults Presenting to a Memory Clinic with Subjective Cognitive Decline: A Pilot Study
Snitz, B. E., Lopez, O. L., McDade, E., Becker, J. T., Cohen, A. D., Price, J. C., Mathis, C. A., & Klunk, W. E. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150113 · Cited by 93 · see citing works
Neuropathological approaches to cerebral aging and neuroplasticity
Jellinger, K. A., & Attems, J. (2013) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2013.15.1/kjellinger · Cited by 90 · see citing works
Neocortical and hippocampal amyloid-β and tau measures associate with dementia in the oldest-old
Robinson, J. L., Geser, F., Corrada, M. M., Berlau, D. J., Arnold, S. E., Lee, V. M.-Y., Kawas, C. H., & Trojanowski, J. Q. (2011) · Brain · doi:10.1093/brain/awr308 · Cited by 88 · see citing works
Alzheimer’s Disease Biomarkers and Future Decline in Cognitive Normal Older Adults
Dumurgier, J., Hanseeuw, B. J., Hatling, F. B., Judge, K. A., Schultz, A. P., Chhatwal, J. P., Blacker, D., Sperling, R. A., Johnson, K. A., Hyman, B. T., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170511 · Cited by 86 · see citing works
Cortical Thinning in Individuals with Subjective Memory Impairment
Meiberth, D., Scheef, L., Wolfsgruber, S., Boecker, H., Block, W., Träber, F., Erk, S., Heneka, M. T., Jacobi, H., Spottke, A., et al. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-142322 · Cited by 84 · see citing works
Selective Disruption of the Cerebral Neocortex in Alzheimer's Disease
Desikan, R. S., Sabuncu, M. R., Schmansky, N. J., Reuter, M., Cabral, H., Hess, C. P., Weiner, M. W., Biffi, A., Anderson, C. D., Rosand, J. M., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012853 · Cited by 83 · see citing works
Association of Gray Matter Atrophy with Age, β-Amyloid, and Cognition in Aging
Oh, H., Madison, C. M., Villeneuve, S., Markley, C., & Jagust, W. J. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht017 · Cited by 81 · see citing works
Amyloid‐associated increases in longitudinal report of subjective cognitive complaints
Amariglio, R. E., Buckley, R. F., Mormino, E. C., Marshall, G. A., Johnson, K. A., Rentz, D. M., & Sperling, R. A. (2018) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.08.005 · Cited by 80 · see citing works
Biomarker Validation of a Decline in Semantic Processing in Preclinical Alzheimer's Disease
Papp, K., Mormino, E., Amariglio, R., Munro, C. E., Dagley, A. S., Schultz, A., Johnson, K. A., Sperling, R., & Rentz, D. (2015) · Neuropsychology · doi:10.1037/neu0000246 · Cited by 79 · see citing works
The Alzheimer’s Prevention Initiative Composite Cognitive Test Score
Ayutyanont, N., Langbaum, J. B. S., Hendrix, S. B., Chen, K., Fleisher, A., Friesenhahn, M. J., Ward, M. E., Aguirre, C., Acosta‐Baena, N., Madrigal, L., et al. (2014) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.13m08927 · Cited by 78 · see citing works
Hippocampal and entorhinal structures in subjective memory impairment: a combined MRI volumetric and DTI study
Ryu, S. Y., Lim, E. Y., Na, S., Shim, Y. S., Cho, J. H., Yoon, B., Hong, Y. J., & Yang, D. W. (2017) · International Psychogeriatrics · doi:10.1017/s1041610216002349 · Cited by 78 · see citing works
Preclinical Alzheimer's disease: A systematic review of the cohorts underlying the concept
Epelbaum, S., Genthon, R., Cavedo, E., Habert, M. O., Lamari, F., Gagliardi, G. P., Lista, S., Teichmann, M., Bakardjian, H., Hampel, H. J., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.12.003 · Cited by 77 · see citing works
Neuropsychological measures that detect early impairment and decline in preclinical Alzheimer disease
Schindler, S. E., Jasielec, M. S., Weng, H., Hassenstab, J. J., Grober, E. H., McCue, L. M., Morris, J. C., Holtzman, D. M., Xiong, C., & Fagan, A. M. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.04.004 · Cited by 77 · see citing works
Cerebrospinal Fluid Biomarkers and Memory Present Distinct Associations along the Continuum from Healthy Subjects to AD Patients
Rami, L., Fortea, J., Bosch, B., Solé‐Padullés, C., Lladó, A., Iranzo, Á., Sánchez‐Valle, R., & Molinuevo, J. L. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-101422 · Cited by 76 · see citing works
Neuropsychological changes in asymptomatic persons with Alzheimer disease neuropathology
Monsell, S. E., Mock, C., Hassenstab, J., Roe, C. M., Cairns, N. J., Morris, J. C., & Kukull, W. (2014) · Neurology · doi:10.1212/wnl.0000000000000650 · Cited by 71 · see citing works
Preclinical AD Workgroup staging: Pathological correlates and potential challenges
Jicha, G. A., Abner, E. L., Schmitt, F. A., Kryscio, R. J., Riley, K. P., Cooper, G. E., Stiles, N., Mendiondo, M. S., Smith, C. D., Van Eldik, L. J., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.02.018 · Cited by 71 · see citing works
Subjective cognitive decline and β-amyloid burden predict cognitive change in healthy elderly
Vogel, J. W., Doležalová, M. V., Joie, R. L., Marks, S. M., Schwimmer, H., Landau, S. M., & Jagust, W. J. (2017) · Neurology · doi:10.1212/wnl.0000000000004627 · Cited by 71 · see citing works
Selective Worsening of Brain Injury Biomarker Abnormalities in Cognitively Normal Elderly Persons With β-Amyloidosis
Knopman, D. S., Jack, C. R., Wiste, H. J., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., Mielke, M. M., et al. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.182 · Cited by 68 · see citing works
Thinner temporal and parietal cortex is related to incident clinical progression to dementia in patients with subjective cognitive decline
Verfaillie, S. C. J., Tijms, B. M., Versteeg, A., Benedictus, M. R., Bouwman, F. H., Scheltens, P., Barkhof, F., Vrenken, H., & van der Flier, W. M. (2016) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.10.007 · Cited by 68 · see citing works
Amyloid-β Related Memory Decline is not Associated with Subjective or Informant Rated Cognitive Impairment in Healthy Adults
Hollands, S., for the AIBL Research Group, Lim, Y. Y., Buckley, R., Pietrzak, R. H., Snyder, P. J., Ames, D., Ellis, K. A., Harrington, K., Lautenschlager, N., et al. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-140678 · Cited by 67 · see citing works
Amyloid PET and cognitive decline in cognitively normal individuals: the SCIENCe project
Timmers, T., Ossenkoppele, R., Verfaillie, S. C. J., van der Weijden, C. W. J., Slot, R. E. R., Wesselman, L. M. P., Windhorst, A. D., Wolters, E. E., Yaqub, M., Prins, N. D., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.02.020 · Cited by 63 · see citing works
Hippocampal hypometabolism in older adults with memory complaints and increased amyloid burden
Vannini, P., Hanseeuw, B., Munro, C. E., Amariglio, R. E., Marshall, G. A., Rentz, D. M., Pascual-Leone, A., Johnson, K. A., & Sperling, R. A. (2017) · Neurology · doi:10.1212/wnl.0000000000003889 · Cited by 61 · see citing works
COMPUTERIZED COGNITIVE TESTING FOR USE IN CLINICAL TRIALS: A COMPARISON OF THE NIH TOOLBOX AND COGSTATE C3 BATTERIES
Buckley, R. F., Sparks, K. P., Papp, K. V., Dekhtyar, M., Martin, C., Burnham, S. C., Sperling, R. A., & Rentz, D. M. (2017) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2017.1 · Cited by 60 · see citing works
Braak staging, plaque pathology, and APOE status in elderly persons without cognitive impairment
Mufson, E. J., Malek‐Ahmadi, M. H., Perez, S. E., & Chen, K. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.10.012 · Cited by 56 · see citing works
An investigation of PreMCI: Subtypes and longitudinal outcomes
Loewenstein, D., Greig, M. T., Schinka, J. A., Barker, W., Shen, Q., Potter, E. L., Raj, A., Brooks, L., Varón, D., Schoenberg, M. R., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.03.002 · Cited by 54 · see citing works
Amyloid-β42 is Associated with Cognitive Impairment in Healthy Elderly and Subjective Cognitive Impairment
Rolstad, S., Berg, A. I., Bjerke, M., Blennow, K., Johansson, B. E. A., Zetterberg, H., & Wallin, A. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110038 · Cited by 53 · see citing works
Early detection of Alzheimer's disease (AD) using the CANTAB paired Associates Learning Test
O'Connell, H. P., Coen, R. F., Kidd, N., Warsi, M. A., Chin, A., & LAWLOR, B. A. (2004) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.1180 · Cited by 53 · see citing works
Cued memory decline in biomarker-defined preclinical Alzheimer disease
Papp, K. V., Rentz, D. M., Mormino, E. C., Schultz, A. P., Amariglio, R. E., Quiroz, Y., Johnson, K. A., & Sperling, R. A. (2017) · Neurology · doi:10.1212/wnl.0000000000003812 · Cited by 52 · see citing works
Correlates of Subjective and Mild Cognitive Impairment: Depressive Symptoms and CSF Biomarkers
Grambaitė, R., Hessen, E., Auning, E., Aarsland, D., Selnes, P., & Fladby, T. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000354188 · Cited by 51 · see citing works
A more randomly organized grey matter network is associated with deteriorating language and global cognition in individuals with subjective cognitive decline
Verfaillie, S. C. J., Slot, R. E. R., Dicks, E., Prins, N. D., Overbeek, J. M., Teunissen, C. E., Scheltens, P., Barkhof, F., van der Flier, W. M., & Tijms, B. M. (2018) · Human Brain Mapping · doi:10.1002/hbm.24065 · Cited by 50 · see citing works
Amyloid imaging in cognitively normal older adults: comparison between 18F-flutemetamol and 11C-Pittsburgh compound B
Adamczuk, K., Schaeverbeke, J. M., Nelissen, N., Neyens, V., Vandenbulcke, M., Goffin, K. E., Lilja, J., Hilven, K., Dupont, P. J., Laere, K. V., et al. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-015-3156-9 · Cited by 48 · see citing works
Prediction of Preclinical Alzheimer's Disease: Longitudinal Rates of Change in Cognition
Riley, K. P., Jicha, G. A., Davis, D. G., Abner, E. L., Cooper, G. E., Stiles, N. J., Smith, C. D., Kryscio, R. J., Nelson, P. T., Eldik, L. J. V., et al. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-102133 · Cited by 47 · see citing works
Longitudinal evaluation of criteria for subjective cognitive decline and preclinical Alzheimer's disease in a memory clinic sample
Eckerström, M., Göthlin, M., Rolstad, S., Hessen, E., Eckerström, C., Nordlund, A., Johansson, B. E. A., Svensson, J., Jonsson, M. A. G., Sacuiu, S. F., et al. (2017) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.04.006 · Cited by 46 · see citing works
Metabolic Correlates of Rey Auditory Verbal Learning Test in Elderly Subjects with Memory Complaints
Brugnolo, A., Morbelli, S. D., Arnaldi, D., Carli, F. D., Accardo, J., Bossert, I., Dessi, B., Famà, F., Ferrara, M., Girtler, N. G., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-121684 · Cited by 43 · see citing works
Longitudinal cerebrospinal fluid biomarker measurements in preclinical sporadic Alzheimer's disease: A prospective 9‐year study
Stomrud, E., Minthon, L., Zetterberg, H., Blennow, K., & Hansson, O. (2015) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2015.09.002 · Cited by 43 · see citing works
Prevalence of abnormal Alzheimer’s disease biomarkers in patients with subjective cognitive decline: cross-sectional comparison of three European memory clinic samples
on behalf of the Euro-SCD working group, Wolfsgruber, S., Molinuevo, J. L., Wagner, M., Teunissen, C. E., Rami, L., Coll‐Padrós, N., Bouwman, F. H., Slot, R. E. R., Wesselman, L. M. P., et al. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0463-y · Cited by 41 · see citing works
Progressive medial temporal lobe atrophy during preclinical Alzheimer's disease
Pettigrew, C. A., Soldan, A., Sloane, K. L., Cai, Q., Wang, J., Wang, M., Moghekar, A., Miller, M. I., & Albert, M. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.08.022 · Cited by 39 · see citing works
The added value of Aβ42/Aβ40 in the CSF signature for routine diagnostics of Alzheimer's disease
Biscetti, L., Salvadori, N., Farotti, L., Cataldi, S., Eusebi, P., Paciotti, S., & Parnetti, L. (2019) · Clinica Chimica Acta · doi:10.1016/j.cca.2019.03.001 · Cited by 38 · see citing works
Self-citation
SELF-REPORTED MEMORY COMPLAINTS: A COMPARISON OF DEMENTED AND UNIMPAIRED OUTCOMES
Kryscio, R. J., Abner, E. L., Jicha, G. A., Nelson, P. T., Smith, C. D., Eldik, L. J. V., Lou, W., Fardo, D. W., Cooper, G. E., & Schmitt, F. A. (2015) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2015.74 · Cited by 35 · see citing works
Cerebral Glucose Metabolism is Associated with Verbal but not Visual Memory Performance in Community-Dwelling Older Adults
Gardener, S. L., Sohrabi, H. R., Shen, K., Rainey‐Smith, S. R., Weinborn, M., Bates, K. A., Shah, T. M., Foster, J. K., Lenzo, N. P., Salvado, O., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-151084 · Cited by 32 · see citing works
Neural Basis of Cognitive Assessment in Alzheimer Disease, Amnestic Mild Cognitive Impairment, and Subjective Memory Complaints
Matías‐Guiu, J. A., Cabrera‐Martín, M. N., Valles‐Salgado, M., Pérez-Pérez, A., Rognoni, T., Moreno‐Ramos, T., Carreras, J. L., & Matías‐Guiu, J. (2017) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2017.02.002 · Cited by 30 · see citing works
A ‘Disease Severity Index’ to identify individuals with Subjective Memory Decline who will progress to mild cognitive impairment or dementia
Ferreira, D., Falahati, F., Linden, C., Buckley, R. F., Ellis, K. A., Savage, G. R., Villemagne, V. L., Rowe, C. C., Ames, D. J., Simmons, A., et al. (2017) · Scientific Reports · doi:10.1038/srep44368 · Cited by 29 · see citing works
Early Detection of Learning Difficulties when Confronted with Novel Information in Preclinical Alzheimer’s Disease Stage 1
Tort‐Merino, A., Valech, N., Peñaloza, C., Grönholm-Nyman, P., León, M., Olives, J., Estanga, A., Ecay‐Torres, M., Fortea, J., Martínez‐Lage, P., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161173 · Cited by 28 · see citing works
Patterns of Cortical and Subcortical Amyloid Burden across Stages of Preclinical Alzheimer’s Disease
Edmonds, E. C., Bangen, K. J., Delano‐Wood, L., Nation, D. A., Furst, A. J., Salmon, D. P., Bondi, M. W., & Initiative, A. D. N. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000928 · Cited by 27 · see citing works
Association between Cerebrospinal Fluid Biomarkers for Alzheimer’s Disease, APOE Genotypes and Auditory Verbal Learning Task in Subjective Cognitive Decline, Mild Cognitive Impairment, and Alzheimer’s Disease
Mandecka, M., Budziszewska, M., Barczak, A. K., Pepłońska, B., Chodakowska-Żebrowska, M., Filipek-Gliszczyńska, A., Nesteruk, M., Styczyńska, M., Barcikowska, M., & Gabryelewicz, T. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160176 · Cited by 26 · see citing works
Neuropsychological Decline Improves Prediction of Dementia Beyond Alzheimer’s Disease Biomarker and Mild Cognitive Impairment Diagnoses
Nation, D. A., Ho, J. K., Dutt, S., Han, S. D., Lai, M. H. C., & Initiative, A. D. N. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180525 · Cited by 26 · see citing works
Computerized Cognitive Tests Are Associated with Biomarkers of Alzheimer’s Disease in Cognitively Normal Individuals 10 Years Prior
Soldan, A., Pettigrew, C. A., Moghekar, A., & Albert, M. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000722 · Cited by 18 · see citing works
Alteration patterns of brain glucose metabolism: comparisons of healthy controls, subjective memory impairment and mild cognitive impairment
Song, I.-U., Choi, E. K., Oh, J. K., Chung, Y.-A., & Chung, S.-W. (2016) · Acta Radiologica · doi:10.1177/0284185114566088 · Cited by 17 · see citing works
CSF Aβ1–42, but not p-Tau181, differentiates aMCI from SCI
Rizzi, L., Portal, M. M., Batista, C. E. A., Missiaggia, L., & Roriz‐Cruz, M. (2017) · Brain Research · doi:10.1016/j.brainres.2017.10.008 · Cited by 12 · see citing works
The Italian version of Cognitive Function Instrument (CFI) for tracking changes in healthy elderly: results at 1-year follow-up
Chipi, E., Montanucci, C., Eusebi, P., D’Andrea, K., Biscetti, L., Calabresi, P., & Parnetti, L. (2019) · Neurological Sciences · doi:10.1007/s10072-019-03960-x · Cited by 12 · see citing works
Self-citation
The Erlangen Score Algorithm in the diagnosis and prediction of the progression from subjective cognitive decline and mild cognitive impairment to Alzheimer-type dementia
Filipek-Gliszczyńska, A., Barczak, A. K., Budziszewska, M., Mandecka, M., Gabryelewicz, T., & Barcikowska, M. (2018) · Folia Neuropathologica · doi:10.5114/fn.2018.76612 · Cited by 7 · see citing works
P1‐114: Self‐reported memory complaints: A comparison of demented and unimpaired outcomes
Kryscio, R. J., Abner, E. L., Jicha, G. A., Nelson, P. T., Smith, C. D., Eldik, L. J. V., Lou, W., Fardo, D. W., Cooper, G. E., & Schmitt, F. A. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.06.312 · Cited by 3 · see citing works

Flagged first, then by citations

1 of the 155 references couldn’t be matched to a known paper.

Sorted by citations

Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group
Dubois, B., Villain, N., Frisoni, G. B., Rabinovici, G. D., Sabbagh, M., Cappa, S., Bejanin, A., Bombois, S., Epelbaum, S., Teichmann, M., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00066-1 · Cited by 1,051 · see citing works
“However, this increased sensitivity in the detection of cognitive decline comes at the expense of a reduced specificity, and numerous other etiologies can be responsible for the observed changes, such as personality traits, psychiatric disorders, and sleep apnea amongst others 46 .”
Background
Practical recommendations for timely, accurate diagnosis of symptomatic Alzheimer’s disease (MCI and dementia) in primary care: a review and synthesis
Liss, J. L., Seleri Assunção, S., Cummings, J., Atri, A., Geldmacher, D. S., Candela, S. F., Devanand, D. P., Fillit, H. M., Susman, J., Mintzer, J., et al. (2021) · Journal of Internal Medicine · doi:10.1111/joim.13244 · Cited by 312 · see citing works
Prevalence and risk of progression of preclinical Alzheimer’s disease stages: a systematic review and meta-analysis
Parnetti, L., Chipi, E., Salvadori, N., D’Andrea, K., & Eusebi, P. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0459-7 · Cited by 194 · see citing works
Self-citation
Spermidine intake is associated with cortical thickness and hippocampal volume in older adults
Schwarz, C., Horn, N., Benson, G. S., Calzado, I. W., Wurdack, K., Pechlaner, R., Grittner, U., Wirth, M., & Flöel, A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117132 · Cited by 52 · see citing works
A/T/(N) Profile in Cerebrospinal Fluid of Parkinson’s Disease with/without Cognitive Impairment and Dementia with Lewy Bodies
Bellomo, G., Paoletti, F. P., Chipi, E., Petricciuolo, M., Simoni, S., Tambasco, N., & Parnetti, L. (2020) · Diagnostics · doi:10.3390/diagnostics10121015 · Cited by 30 · see citing works
Self-citation
Regulation of neuroinflammation in Alzheimer's disease via nanoparticle-loaded phytocompounds with anti-inflammatory and autophagy-inducing properties
Nayak, V., Patra, S., Rout, S., Jena, A. B., Sharma, R., Pattanaik, K. P., Singh, J., Pandey, S. S., Singh, R. P., Majhi, S., et al. (2023) · Phytomedicine · doi:10.1016/j.phymed.2023.155150 · Cited by 25 · see citing works
Validation and Normative Data of the Spanish Version of the Rey Auditory Verbal Learning Test and Associated Long-Term Forgetting Measures in Middle-Aged Adults
Alviarez‐Schulze, V., Cattaneo, G., Pachón‐García, C., Sánchez, J. S., Tormos, J. M., Pascual‐Leone, Á., & David Bartrés-faz, A. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.809019 · Cited by 23 · see citing works
Effects of Combined Physical Activity and Cognitive Training on Cognitive Function in Older Adults with Subjective Cognitive Decline: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Sun, Q., Xu, S., Guo, S., You, Y., Xia, R., & Liu, J. (2021) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2021/8882961 · Cited by 20 · see citing works
Cerebrospinal Fluid Biomarkers for Alzheimer’s Disease in the Era of Disease-Modifying Treatments
Paraskevas, G. P., & Kapaki, E. N. (2021) · Brain Sciences · doi:10.3390/brainsci11101258 · Cited by 18 · see citing works
Objective Criteria for Subtle Cognitive Decline in Aging and Preclinical Alzheimer Disease
Thomas, K. R., & Edmonds, E. C. (2025) · Neurology · doi:10.1212/wnl.0000000000213536 · Cited by 17 · see citing works
Effects of motor-cognitive interaction based on dual-task gait analysis recognition in middle age to aging people with normal cognition and mild cognitive impairment
Zheng, Y., Lang, S., Liang, J., Jiang, Y., Zhao, B., Chen, H., Huang, D., Li, Q., Liu, H., Chen, S., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.969822 · Cited by 12 · see citing works
Abnormal Default-Mode Network Homogeneity in Patients With Mild Cognitive Impairment in Chinese Communities
Cao, Y., Yang, H., Zhou, Z., Cheng, Z., & Zhao, X. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2020.569806 · Cited by 11 · see citing works
The memory binding test can anticipate Alzheimer’s disease diagnosis at an early preclinical stage: a longitudinal study in the INSIGHTpreAD cohort
Pereira, F. R., George, N., Barba, G. D., Dubois, B., & Corte, V. L. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1414419 · Cited by 9 · see citing works
The Memory Binding Test Detects Early Subtle Episodic Memory Decline in Preclinical Alzheimer’s Disease: A Longitudinal Study
Pereira, F. R., George, N., Barba, G. D., Dubois, B., Corte, V. L., & the INSIGHT-preAD study group (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-230921 · Cited by 8 · see citing works
Subtle Cognitive Deficits Are Associated with Amyloid-β Positivity, but Not Severity of Self-Reported Decline: Results from the CoSCo Study
Ryu, S. Y., Hong, Y. J., Ho, S. H., Jeong, J. H., Park, K. H., Kim, S., Wang, M. J., Choi, S. H., & Yang, D. W. (2022) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000523971 · Cited by 6 · see citing works
Association between Neuropsychological Performance and CSF Profile in Subjective Cognitive Decline: Towards the Diagnosis of Preclinical AD
Chipi, E., Bellomo, G., Salvadori, N., Montanucci, C., Gaetani, L., Paoletti, F. P., & Parnetti, L. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.33 · Cited by 6 · see citing works
Self-citation
The Biomarkerization of Alzheimer’s Disease: From (Early) Diagnosis to Anticipation?
Boenink, M., & van der Molen, L. H. (2024) · Philosophy and medicine · doi:10.1007/978-3-031-62241-0_11 · Cited by 6 · see citing works
Kontroverse um die Alzheimer-Frühdiagnostik – eine literaturbasierte Übersicht über die Vor- und Nachteile
Graessel, E., & Lauer, N. (2023) · Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen · doi:10.1016/j.zefq.2023.04.004 · Cited by 4 · see citing works
Advancing diagnostic biomarkers in Alzheimer’s disease: interdisciplinary innovations and technological frontiers
Patwekar, F., Patwekar, M. F., Wei, L. S., Sharma, R., Varghese, R., & Mohammed, A. (2026) · Human Cell · doi:10.1007/s13577-026-01368-2 · Cited by 4 · see citing works
The Biomarker Profile of Alzheimer’s Disease for Disease-Modifying Treatment Eligibility: Questions and Debates
Athanasaki, A., Tsantzali, I., Theodorou, A., Michalopoulou, A., Constantinides, V. C., Boufidou, F., Tzartos, J. S., Tsalouchidou, P., Zompola, C., Paraskevas, S. G., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26199531 · Cited by 3 · see citing works
Repeatable Battery for the Assessment of Neuropsychological Status: Italian Normative Data for Older Adults
Chipi, E., Fruttini, D., Salvadori, N., Montanucci, C., Siena, E., Menculini, G., Mazzeschi, C., & Parnetti, L. (2022) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acac061 · Cited by 3 · see citing works
Self-citation
Alzheimer’s disease: Prevention Strategy
Kitisripanya, B. (2022) · International Journal of Current Science Research and Review · doi:10.47191/ijcsrr/v5-i7-59 · Cited by 2 · see citing works
Recognition memory decline is associated with the progression to prodromal Alzheimer’s disease in asymptomatic at-risk individuals
Pereira, F. R., Chaumon, M., Dubois, B., Bakardjian, H., Bahrami, M., Habert, M., Andrade, K. S., Younsi, N., Corte, V. L., George, N., et al. (2024) · Journal of Neurology · doi:10.1007/s00415-024-12834-y · Cited by 1 · see citing works
Longitudinal Analysis of Objective and Self-Reported Cognitive Functions in Individuals with Subjective Cognitive Decline
Ryu, S. Y., Lee, C., Ho, S. H., Hong, Y. J., Jeong, J. H., Park, K. H., Wang, M. J., Choi, S. H., Kim, S., & Yang, D. W. (2025) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000543230 · Cited by 1 · see citing works
Sensor-Detected Differences in Behaviors of Older Drivers with Pre-MCI and Mild Cognitive Impairment vs. Unimpaired Drivers
Tappen, R. M., Newman, D., Rosselli, M., Conniff, J., Ray, S., Moshfeghi, S., Jang, J., Yang, K., & Furht, B. (2026) · Sensors · doi:10.3390/s26010290 · Cited by 1 · see citing works
Субъективное когнитивное снижение (терминологические и диагностические границы)
Sidenkova, A. P., Тимофеевна, Б. Л., Babushkina, E. I., & Соколова, И. В. (2023) · Сибирский вестник психиатрии и наркологии · doi:10.26617/1810-3111-2023-3(120)-70-79
Deep Learning with Imbalanced Data Identifies Early Mild Cognitive Impairment Amongst Typical Older Adults (Preprint)Preprint
Zapata, R., Albizu, A., Perrin, C., O’Shea, A. M., Hardcastle, C., Kraft, J. N., Alexander, G. E., Marsiske, M., Cohen, R. A., Woods, A. J., et al. (2024) · doi:10.2196/preprints.65411

Combined Biomarkers for Early Alzheimer Disease Diagnosis
Borroni, B., Premi, E., Luca, M. D., & Padovani, A. (2007) · Current Medicinal Chemistry · doi:10.2174/092986707780598005 · Cited by 36 · see citing works
Biomarkers for Preclinical Alzheimer’s Disease
Perneczky, R. (2018) · Neuromethods · doi:10.1007/978-1-4939-7674-4 · Cited by 27 · see citing works
Current development and challenges in biomarkers for early identification of mild cognitive impairment and alzheimer’s disease
Kumar, A., Sıngh, S., & Mishra, V. N. (2018)
Rethinking on the concept of biomarkers in preclinical Alzheimer’s disease
Berti, V., Polito, C., Lombardi, G., Ferrari, C., Sorbi, S., & Pupi, A. (2016) · Neurological Sciences · doi:10.1007/s10072-016-2477-1 · Cited by 51 · see citing works
Measuring clinical progression in MCI and pre-MCI populations: enrichment and optimizing clinical outcomes over time
Hendrix, S. B. (2012) · Alzheimer s Research & Therapy · doi:10.1186/alzrt127 · Cited by 37 · see citing works

Authors: Chipi, E., Salvadori, N., Farotti, L., & Parnetti, L.
Affiliations: University of Perugia (IT)
Corresponding author: Parnetti, Lucilla
ORCID: Chipi, Elena
Farotti, Lucia
Parnetti, Lucilla
Venue: Brain Sciences
Publisher: MDPI AG
Published: 2019-08-23
Volume: 9
Issue: 9
Pages: 213
ISSN: 2076-3425 (ISSN-L)
DOI: 10.3390/brainsci9090213
PMC: PMC6769621
OpenAlex: W2969766245
Cited by: 27
References: 155
Citations by year: 2026: 2 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 5 · 2021: 5 · 2020: 2 · 2019: 1
FWCI: 0.55
Type: journal article
Language: en
Open access: gold
dx.doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Brain Sciences (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
Keywords: Alzheimer's disease, mild cognitive impairment, early detection, subjective cognitive decline, preclinical Alzheimer's disease, neuropsychological assessment, disease-modifying therapy, cognitive decline

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

Biomarker-based signature of alzheimer's disease in pre-MCI individuals

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Self-check

Cites

Cited by

Related

Record

About these checks