Search Existing Data Requests

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.


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Investigator: Guorong Wu

Project Title: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation

Date: [153]

Request ID: D2302

Aim 1: Developing machine learning approch to uncover the spreading pathway of tau aggregates.

Aim 2: Evaluate the prediction accuracy and replicability on exising public datasets

Aim 3: Explore the population sub-stratification on AD/ADRD cohorts

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Investigator: John Morris

Project Title: Evaluating tau microtubule binding region (MTBR) and tau phosphorylation as indicators of tau PET burden and spreading

Date: [153]

Request ID: D2303

Aim 1: Test whether CSF MTBR-tau and tau phosphorylation more closely relate to estimates of tau PET burden or spatial spread

Aim 2: Test whether CSF MTBR-tau and tau phosphorylation increase with advanced tau staging based on spatial patterns of tau PET

Aim 3: Test whether CSF MTBR-tau and tau phosphorylation relate to network-based indicators of tau PET spreading

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Investigator: Andrew Aschenbrenner

Project Title: Comparing the sensitivity of different attentional control tasks and outcomes in preclinical Alzheimer disease

Date: [153]

Request ID: D2304

Aim 1: Compare three different attentional control tasks and 7+ outcomes to determine which task and outcome is most sensitive to preclinical AD

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Investigator: Sarah Hartz

Project Title: Prediction of AD development and progression using AD8

Date: [153]

Request ID: D2305

Aim 1: Confirm that the ability of the AD8 to discriminate between CDR=0 and CDR=0.5 does not vary by gender, race, or other demographics

Aim 2: Modify 5-year AD risk prediction models to be based on AD8 rather than CDR

Aim 3: Develop 5-year AD symptom progression model based on AD8

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Investigator: Joana B. Pereira

Project Title: Predicting Tau Pathology and Brain Atrophy with Deep Learning

Date: [153]

Request ID: D2306

Aim 1: Impute tau-PET images

Aim 2: Impute T1-weighted images

Aim 3: Perform cross-modal imputations

Aim 4: Assess relationship between imputations with diagnosis, cognitive scores and other imaging modality measures


Investigator: Paul Brewster

Project Title: Evaluating practice effects with burst cognitive testing and standard cognitive measures

Date: [153]

Request ID: D2307

Aim 1: The primary aim of this research is to evaluate whether individual differences in performance variability and practice effects on mobile phone-based burst cognitive testing predict Alzheimer disease (AD) biomarkers independently of performance level.

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Investigator: John Morris

Project Title: Predicting continuous PET values with pTau isoforms (extension to include MTBR)

Date: [153]

Request ID: D2308

Aim 1: Test whether CSF pTau isoforms and/or MTBR can predict regional amyloid burden

Aim 2: Test whether CSF pTau isoforms and/or MTBR can predict regional tau burden

Aim 3: Assess the relative predictive ranges of each CSF pTau isoform and MTBR value for cortical amyloid burden and tauopathy

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Investigator: Ahmad Imam

Project Title: A Mixed Distributed Deep Learning Approach for Blood Sample-Based Early Detection of Alzheimer’s Disease

Date: [153]

Request ID: D2309

Aim 1: AI-based model for early detection of Dementia.

Aim 2: AI-base model to observe multiple internal and external factor that might contribute in the development of Dementia

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Investigator: Fumie Costen

Project Title: Correlation between CSF biomarkers and plasma biomarkers

Date: [153]

Request ID: D2310

Aim 1: We would like to produce an AI system to predict plasma biomarkers from CSF biomarkers

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Investigator: Ellen Grober

Project Title: Associations of Stages of Objective Memory Impairment (SOMI) with plasma biomarkers of Alzheimer disease

Date: [153]

Request ID: D2311

Aim 1: To explore the association of SOMI and FR with plasma biomarkers

Aim 2: To determine whether the associations are affected by APOE e4 carrier status

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