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Clinical validity of increased cortical uptake of amyloid ligands on PET as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework

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Association of Apolipoprotein E ɛ4, Educational Level, and Sex With Tau Deposition and Tau-Mediated Metabolic Dysfunction in Older Adults

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Amyloid-β Related Memory Decline is not Associated with Subjective or Informant Rated Cognitive Impairment in Healthy Adults

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Sex differences in longitudinal tau-PET in preclinical Alzheimer disease: a meta-analysis

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High-level gait and balance disorders in the elderly: a midbrain disease?

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Association between Various Brain Pathologies and Gait Disturbance

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Arterial spin labeling imaging reveals widespread and Aβ-independent reductions in cerebral blood flow in elderly apolipoprotein epsilon-4 carriers

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Amyloid-β Load Is Related to Worries, but Not to Severity of Cognitive Complaints in Individuals With Subjective Cognitive Decline: The SCIENCe Project

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Subjective cognitive decline is related to CSF biomarkers of AD in patients with MCI

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Physical activity, inflammation, and volume of the aging brain

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Qualitative and quantitative assessment of self‐reported cognitive difficulties in nondemented elders: Association with medical help seeking, cognitive deficits, and β‐amyloid imaging

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Characteristics of subjective cognitive decline associated with amyloid positivity

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Influence of Sampling and Recruitment Methods in Studies of Subjective Cognitive Decline

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Clinical Trials in Predementia Stages of Alzheimer Disease

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Practice Effects and Amyloid Deposition

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Evolving Evidence for the Value of Neuroimaging Methods and Biological Markers in Subjects Categorized with Subjective Cognitive Decline

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Subjective Memory Complaints in APOE ɛ 4 Carriers are Associated with High Amyloid-β Burden

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Functional neuroimaging findings in healthy middle-aged adults at risk of Alzheimer’s disease

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Correlations between plasma and PET beta-amyloid levels in individuals with subjective cognitive decline: the Fundació ACE Healthy Brain Initiative (FACEHBI)

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Quantitative Water Permeability Mapping of Blood-Brain-Barrier Dysfunction in Aging

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Assessing risk for preclinical β‐amyloid pathology with <i>APOE</i> , cognitive, and demographic information

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Cross-sectional and longitudinal characterization of SCD patients recruited from the community versus from a memory clinic: subjective cognitive decline, psychoaffective factors, cognitive performances, and atrophy progression over time

Kuhn, E., Moulinet, I., Perrotin, A., La Joie, R., Landeau, B., Tomadesso, C., Bejanin, A., Sherif, S., De La Sayette, V., Desgranges, B., et al. (2019) · Alzheimer's Research &amp; Therapy · doi:10.1186/s13195-019-0514-z · Cited by 51 · see citing works

A Conceptualization of the Utility of Subjective Cognitive Decline in Clinical Trials of Preclinical Alzheimer’s Disease

Buckley, R. F., Villemagne, V. L., Masters, C. L., Ellis, K. A., Rowe, C. C., Johnson, K. A., Sperling, R. A., & Amariglio, R. E. (2016) · Journal of Molecular Neuroscience · doi:10.1007/s12031-016-0810-z · Cited by 50 · see citing works

Emerging biomarkers and screening for cognitive frailty

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Imaging Mild Cognitive Impairment and Dementia in Parkinson's Disease

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Memory Concerns, Memory Performance and Risk of Dementia in Patients with Mild Cognitive Impairment

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A Nomogram for Predicting Amyloid PET Positivity in Amnestic Mild Cognitive Impairment

Kim, S. E., Woo, S., Kim, S. W., Chin, J., Kim, H. J., Lee, B. I., Park, J., Park, K. W., Kang, D., Noh, Y., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180048 · Cited by 49 · see citing works

Amyloid and Tau Biomarkers in Subjective Cognitive Impairment

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Constructing a Local Potential Participant Registry to Improve Alzheimer’s Disease Clinical Research Recruitment

Grill, J. D., Hoang, D. K., Gillen, D. L., Cox, C. G., Gombosev, A., Klein, K. G., O’Leary, S., Witbracht, M. G., & Pierce, A. L. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180069 · Cited by 49 · see citing works

Does amyloid deposition produce a specific atrophic signature in cognitively normal subjects?

Whitwell, J. L., Tosakulwong, N., Weigand, S. D., Senjem, M. L., Lowe, V. J., Gunter, J. L., Boeve, B. F., Knopman, D. S., Dickerson, B. C., Petersen, R. C., et al. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.01.006 · Cited by 47 · see citing works

Exercise interventions do not impact brain volume change in older adults: a systematic review and meta-analysis

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Positron emission tomography with [ 18 F]flutemetamol and [ 11 C] PiB for in vivo detection of cerebral cortical amyloid in normal pressure hydrocephalus patients

Leinonen, V., Rinne, J. O., Virtanen, K. A., Eskola, O., Rummukainen, J., Huttunen, J., zu Fraunberg, M. V. U., Nerg, O., Koivisto, A. M., Rinne, J., et al. (2013) · European Journal of Neurology · doi:10.1111/ene.12102 · 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

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Neuroimaging predictors of brain amyloidosis in mild cognitive impairment

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A machine learning approach to screen for preclinical Alzheimer's disease

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Cardiorespiratory fitness alters the influence of a polygenic risk score on biomarkers of AD

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The Interaction Between Neuroinflammation and β-Amyloid in Cognitive Decline in Parkinson’s Disease

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Pittsburgh Compound B and AV-1451 positron emission tomography assessment of molecular pathologies of Alzheimer's disease in progressive supranuclear palsy

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Reduction of recruitment costs in preclinical AD trials: validation of automatic pre-screening algorithm for brain amyloidosis

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Regional cerebral blood flow estimated by early PiB uptake is reduced in mild cognitive impairment and associated with age in an amyloid-dependent manner

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Using subjective cognitive decline to identify high global amyloid in community‐based samples: A cross‐cohort study

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Deep Learning Prediction of Mild Cognitive Impairment using Electronic Health Records

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A History of Senile Plaques: From Alzheimer to Amyloid Imaging

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Utility of the Cognitive Difficulties Scale and Association With Objective Test Performance

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Applicability of in vivo staging of regional amyloid burden in a cognitively normal cohort with subjective memory complaints: the INSIGHT-preAD study

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Neuroimaging biomarkers for Alzheimer's disease in asymptomatic APOE4 carriers

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PET and CSF amyloid-β status are differently predicted by patient features: information from discordant cases

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Differences in Alzheimer’s Disease and Related Dementias Pathology Among African American and Hispanic Women: A Qualitative Literature Review of Biomarker Studies

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Association between subjective memory assessment and associative memory performance: Role of ad risk factors.

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1 H-MRS metabolites and rate of β-amyloid accumulation on serial PET in clinically normal adults

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Relevance of Minor Neuropsychological Deficits in Patients With Subjective Cognitive Decline

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The influence of demographic factors on subjective cognitive concerns and beta-amyloid

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Sex and Sleep Disruption as Contributing Factors in Alzheimer’s Disease

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Biomarkers for cognitive impairment in alpha-synucleinopathies: an overview of systematic reviews and meta-analyses

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Imaging amyloidopathy in Parkinson disease and parkinsonian dementia syndromes

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Health literacy mediates the relationships of cognitive and physical functions with health-related quality of life in older adults

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Neuroimaging in dementia

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Molecular Imaging of Alzheimer Disease Pathology

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Recruiting to preclinical Alzheimer's disease clinical trials through registries

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Refining the metamemory in adulthood questionnaire: a 20-item version of change and capacity designed for research and clinical settings

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The search for a convenient procedure to detect one of the earliest signs of Alzheimer's disease: A systematic review of the prediction of brain amyloid status

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IC‐P‐038: Identification of noninvasive screening variables for the prediction of amyloid accumulation in a population‐based study of cognitively normal elderly individuals

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O2‐06‐03: Identification of non‐invasive screening variables for the prediction of amyloid accumulation in a population‐based study of cognitively normal elderly individuals

Mielke, M. M., Wiste, H. J., Wiegand, S., Knopman, D. S., Lowe, V. J., Roberts, R. O., Swenson-Dravis, D. M., Boeve, B. F., Geda, Y. E., Senjem, M. L., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.05.656

O4‐07‐01: Amyloid imaging in nondemented oldest‐old

Mathis, C. A., Snitz, B. E., Price, J. C., Klunk, W. E., Saxton, J. A., Weissfeld, L. A., Rosario, B. L., Kuller, L. H., López, O. L., & DeKosky, S. T. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.05.2012

IC‐P‐057: Amyloid imaging in nondemented oldest old

Mathis, C. A., Snitz, B. E., Price, J. C., Klunk, W. E., Saxton, J. A., Weissfeld, L. A., Rosario, B. L., Kuller, L. H., López, O. L., & DeKosky, S. T. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.05.126

A predictive, modeling‐based screening tool to enrich amyloid beta positivity in a cognitively normal sample

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