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: Kirchhoff

Project Title: An Investigation of the Relationships Between Brain Structure and Attentional Control

Date: [153]

Request ID: D1516

Aim 1: To identify brain regions that support successful attentional control processes by examining the relationships between brain structure and performance on attentional control tasks.

Aim 2: To investigate the brain structural changes that lead to attentional control impairments in Alzheimer�s Disease.

Aim 3: To examine whether brain structure at least partially mediates the relationships between AD risk and attentional control.

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Investigator: Angela Curl

Project Title: Psychometric Testing of the CARS Instrument

Date: [153]

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Aim 1: To test the psychometric reliability of the newly developed CARS Instrument

Aim 2: To test the psychometric validity of the newly developed CARS Instrument

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Investigator: Zehra Onen

Project Title: Optimal Population Screening Policies for Alzheimer’s Disease

Date: [153]

Request ID: D1514

Aim 1: To compute optimal population screening policies for Alzheimer�s Disease (AD) using Markov Decision Process (MDP) and Partially Observable MDP models.

Aim 2: To compute annual transition probabilities within AD free and preclinical stage individuals

Aim 3: To build mathematical models for biomarkers’ progression focusing on normal individuals and individuals in preclinical stages of Alzheimer’s Disease

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Investigator: GS Day

Project Title: Evaluating the impact of medications in Alzheimer disease

Date: [153]

Request ID: D1513

Aim 1: 1. Determine whether medications previously associated with cognitive impairment (i.e., offending medications) in cognitively normal individuals, associate with cognitive impairment in Memory and Aging Participants.

Aim 2: 2. Calculate the magnitude of effect of offending medication on participants with normal cognition, preclinical Alzheimer disease (AD) and symptomatic AD.

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Investigator: Brian Gordon

Project Title: Sleep effects on amyloid deposition in preclinical AD

Date: [153]

Request ID: D1512

Aim 1: Sleep quantity and quality to levels of amyloid deposition measured with PET and may be associated with structural atrophy

Aim 2: Sleep measures will predict baseline performance on psychometric testing

Aim 3: Use baseline measures of sleep will predict longitudinal amyloid, atrophy, and cognition

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Investigator: John C. Morris

Project Title: Examining the Relationship Between Depressive Symptoms and Cognitive Deficits in Preclinical Dementia of the Alzheimer Type

Date: [153]

Request ID: D1511

Aim 1: Examine results from a psychometric battery of cognitive tests for patients with no evidience of clinical dementia

Aim 2: Asses the relationship between depression and preclinical AD through CSF samples analyzed for AD markers and PIB-PET amyloid imaging.

Aim 3: Compare antidepressive medication usage (e.g. SSRIs) to imaging data to assess the effect of medication usage on amyloid buildup.

Aim 4: To understand if those with depression and higher amyloid burden have worse cognitive performance.


Investigator: hugo vanderstichele

Project Title: CSF Biomarker analysis for to the Adult Children Study (ACS) of the Knight Alzheimer�s Disease Research Center at Washington (recently published by JAMA NEUROLOGY)

Date: [153]

Request ID: D1510

Aim 1: AD CSF biomarker changes in cognitively normal middle-aged adults

Aim 2: Performance of individual biomarkers or combinations of biomarkers

Aim 3: Comparison of biomarkers with imaging data

Aim 4: Evaluate correlation between CSF biomarkers and cognitive performance


Investigator: Catherine Roe

Project Title: Pilot data for Sleep Aim of Preclinical AD and Driving Continuing Renewal

Date: [153]

Request ID: D1509

Aim 1: To combine data from HASD Project 2 (Sleep study) with data from R01 AG043434-01 (Preclinical AD and Driving) for pilot data to be used in the R01 Continuing Renewal application.

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Investigator: Joan Montaner

Project Title: A NEW CHEMOKINE (CCL23) TO PREDICT MILD COGNITIVE IMPAIRMENT PROGRESSION TO ALZHEIMER DISEASE

Date: [153]

Request ID: D1508

Aim 1: We aimed to evaluate the predictive value of CCL23 in patients with mild cognitive impairment that would develop dementia

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Investigator: Linda Larson-Prior

Project Title: Changes in Brain Network dynamics As An Index of Amyloid Status in Healthy Elders

Date: [153]

Request ID: D1507

Aim 1: Under the hypothesis that cognitively normal individuals with either abnormal CSF protein levels of Ab/tau an imaging evidence of amyloid load will exhibit abnormalities in regional and spectral-band specific neuronal synchronization, we will collect high density electroencephalography (hd-EEG, 256

Aim 2: Under the hypothesis that early markers of impairment in working memory will manifest in frontal synchrony measured in the theta band as well as in network synchrony assessed using phase locking value, we will collect hdEEG as subjects perform a visual N-back working memory task that includes emotio

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