The Knight ADRC has supported many investigators at Washington University and at other institutions over the years. We wish to avoid the situation where two investigators study the same research question to avoid duplication of effort and potential conflict. To determine if your topic has already been studied with our resources, please search our database. If you find that your topic or a related topic has been submitted, you may wish to contact the investigator to inquire about their findings to determine how you might proceed. You may wish to collaborate or modify your request to avoid overlap. The results below reflect requests made since online requests have been accepted. As such, not all fields will have data as certain information, such as aims, were not collected until recently. If an entry has been assigned an ID number (e.g. T1004), the full request has been submitted and is either approved, disapproved or in process. If an entry has no ID number, then it represents a submission that has not yet been reviewed. Search terms are applied across an entire requests application including variables not displayed below. A more specific, detailed search may yield better results depending upon your needs.
Search Terms:
Investigator: Marta Stojanovic
Project Title: Exercise engagement and longitudinal structural and AD biomarker decline
Date: [153]
Request ID: D1615
Aim 1: Examine the effect of exercise engagement on longitudinal changes in brain structure and AD biomarkers, specifically amyloid and tau deposition
Aim 2: Examine whether APOE status moderates the effects of exercise on longitudinal changes
Aim 3: Examine whether BDNF genotype moderates exercise effects on longitudinal changes
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Investigator: Liana Apostolova
Project Title: Validation of AD risk genes effect on brain amyloidosis
Date: [153]
Request ID: D1614
Aim 1: Using CSF abeta as a proxy for amyloid PET SUVR validate the efefcts of sevral AD risk genes on brain amyloidosis
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Investigator: Andrew Aschenbrenner
Project Title: Interactive influences of tau and amyloid on cognition
Date: [153]
Request ID: D1613
Aim 1: Examine retrospective longtiduinal congitive trajectories as a function of tau and amyloid burden
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Investigator: Jason Hassenstab
Project Title: An Evaluation of the use of �Run-In� data in an Alzheimer�s disease secondary prevention trial
Date: [153]
Request ID: D1612
Aim 1: To evaluate the utility of including �run-in� data to increase power to detect a treatment effect.
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Investigator: farzaneh farahani
Project Title: Functional connectivity and graph theory in preclinical Alzheimer’s disease
Date: [153]
Request ID: D1611
Aim 1: lack of facilities and time available in my country
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Investigator: Brian Gordon
Project Title: PET tau results sharing
Date: [153]
Request ID: D1610
Aim 1: Share data images from a publication with NeuroVault.org
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Investigator: Jason Hassenstab
Project Title: Reliability and reproducibility of preclinical Alzheimer�s disease cognitive composites: The Super-PACC study.
Date: [153]
Request ID: D1609
Aim 1: Develop a consensus set of cognitive composites and statistical methods for investigation in Knight ADRC, AIBL, and MCSA
Aim 2: 2. Compare and contrast the nature and magnitude of Aβ related cognitive change in the different cohorts.
Aim 3: Determine which inclusion/exclusion criteria, trial duration, and covarites will enhance detection of cognitive change.
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Investigator: John C Morris
Project Title: Prognosis for CDR 0.5/uncertain dementia participants
Date: [153]
Request ID: D1608
Aim 1: Measure predictors of transition from CDR 0.5/uncertain designation to stable AD designation
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Investigator: Ahmed Enayetallah
Project Title: Predicting elevated cerebral amyloid beta using Bayesian and non-Bayesian classification
Date: [153]
Request ID: D1607
Aim 1: The aim of the proposed project is to analyze develop, validate, and make freely available, a brief computerized screening tool that can identify individuals at higher probability of having high levels of brain amyloid beta.
Aim 2: The study team and collaborators will analyze the requested ADRC dataset simultaneously to conducting comparable analyses in other data sets including ADNI, and then to conduct prospective validation of the ability of the tool to predict a-beta positivity in the clinic.
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Investigator: Brian Gordon
Project Title: Relating medication usage to Alzheimer pathology and cognition
Date: [153]
Request ID: D1606
Aim 1: To see if medication usage predicts longitudinal risk of becoming demented
Aim 2: To see if medication usage predicts cross-sectional levels of Alzheimer pathology
Aim 3: to see if medication usage predicts severity of pathology observed at autopsy.
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