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: Joana B. Pereira

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

Date: February 8, 2023

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: Sarah Hartz

Project Title: Prediction of AD development and progression using AD8

Date: January 17, 2023

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: Andrew Aschenbrenner

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

Date: January 12, 2023

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: John Morris

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

Date: January 10, 2023

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: Guorong Wu

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

Date: January 5, 2023

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: Predicting continuous PET values with pTau isoforms

Date: January 4, 2023

Request ID: D2301

Aim 1: Test whether CSF pTau isoforms can predict regional amyloid burden

Aim 2: Test whether CSF pTau isoforms can predict regional tau burden

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

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Investigator: Gemma Salvadó

Project Title: Validation of a CSF biomarker-based staging model

Date: December 5, 2022

Request ID: D2221

Aim 1: To test whether there is a unique ordering on the abnormality of different CSF tau fragments

Aim 2: To assess the ordering of abnormality of several CSF tau fragments

Aim 3: To assess whether this ordering is associated with other relevant AD-related measures

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Investigator: Jonathan Jackson

Project Title: Foundations of Representative Engagement, Valid & Effective Recruitment (FOREVER) in AD Research

Date: October 5, 2022

Request ID: D2220

Aim 1: Overall our goal is to better understand practices and principles of recruitment, engagement, and retention at the Knight ADRC, particularly for minoritized and marginalized populations.

Aim 2: We will use the data to build a data dashboard looking at dynamic catchment modeling to aid Knight ADRC in understanding its strengths and opportunities in recruiting and retaining certain populations to research studies.

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Investigator: Marta Stojanovic

Project Title: Physical activity, navigation, and Alzheimer disease biomarkers

Date: September 23, 2022

Request ID: D2219

Aim 1: Examine whether physical activity engagement moderates the association of Alzheimer disease biomarkers with spatial navigation performance cross-sectionally

Aim 2: Investigate whether physical activity and navigation performance interact to predict later levels of biomarkers

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Investigator: Dr. Randall Bateman

Project Title: Determining Changes in Cerebrospinal Fluid (CSF) Protein Composition as Humans Age to Search for Factors Contributing to Cognitive Health in Older Individuals

Date: August 25, 2022

Request ID: D2218

Aim 1: Define a set of proteins in cerebrospinal fluid that vary with normal human aging.

Aim 2: Use machine learning to generate predictive models of clinical assessment scores based on proteins in the CSF that vary with age.

Aim 3: Use differential expression analysis to determine abundance differences in age related proteins in the CSF between young cognitively normal individuals, aged cognitively normal individuals, and aged pathogenic individuals.

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