Search DIAN Data Resource Requests

In order to avoid the situation where two investigators study the same research question, please search our database to determine if your topic has already been studied. If you find that your topic or a related topic has already been submitted, you may wish to contact the investigator to inquire about his/her 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 # (e.g. DIAN-D1004), the full request has been submitted and is either approved, disapproved or in process.

Displaying 61 - 70 of 254

Investigator:Jason Hassenstab

Title:Optimizing Cognitive Assessment in DIAN with Smartphone-Based Burst Testing

Date of Request:11/22/2019

Aim 1:Determine if ARC burst assessments will better characterize the nature and magnitude of cognitive decline in DIAD mutation carriers than traditional in-clinic cognitive assessments

Aim 2:Compare cross-sectional and longitudinal associations between ARC assessments and neuroimaging and fluid biomarkers in DIAD

Aim 3:Examine the role of environment, mood, fatigue, and sleep patterns on cognition in DIAD

Investigator:Jane Osbourn

Title:Protective autoantibodies in Alzheimer's disease

Date of Request:11/01/2019

Aim 1:To evaulate the DIAN database for individuals with unexpected protection form a genetic predisposition to Alzheimer's

Investigator:Prof. Dr. Martin Hofmann-Apitius

Title:The Virtual Brain Cloud

Date of Request:10/29/2019

Aim 1:Provide an overview on all accessible AD/dementia clinical cohort datasets. Systematically compare them by looking at the actual data and not only meta-data. Assess the state of data sharing in the dementia field.

Aim 2:Multi-study comparative modeling of longitudinal patient trajectories.

Aim 3:Include longitudinal models into The Virtual Brain platform to allow for individual patient brain simulations.

Investigator:Sheng Luo

Title:Integrative modeling and dynamic prediction of Alzheimer’s disease

Date of Request:10/24/2019

Aim 1:To develop a novel integrative modeling framework for clinical studies of AD that collect longitudinal clinical data.

Aim 2:To generalize the integrative modeling framework for the joint analysis of longitudinal clinical data and high-dimensional MRI data.

Aim 3:To advance the integrative modeling framework to incorporate relevant genetic markers from genome-wide association studies

Investigator:Victoria Fernandez

Title:Functional evaluation of a novel Alzheimer disease candidate gene, AGFG2.

Date of Request:10/06/2019

Aim 1:Evaluation of AGFG2 as a potential disease driver in Alzheimer Disease

Investigator:Victoria Fernandez

Title:Identification of common pathways across Alzheimer Disease phenotypes.

Date of Request:10/06/2019

Aim 1:Transcriptomic profiling of AD brains

Aim 2:eQTL profiling of AD brains

Investigator:Colin L Masters

Title:Alzheimer's dementia onset and progression in international cohorts

Date of Request:09/23/2019

Aim 1:Using unsupervised machine learning techniques (latent Gaussian processes, auto encoders, disentanglement) in order to identify ‘pure’ (and potentially highly non-linear) Alzheimer factors using DIAN cohort.

Aim 2:Study the utility of the resulting latent structure for progression prediction of the late-onset patients.

Investigator:LD Sibley

Title:Role of toxoplasmosis in AD

Date of Request:09/09/2019

Aim 1:Evaluate differences in amyloid PET based on Toxoplasma serological status

Aim 2:Evaluate differences in cognative function based on Toxoplasma serological status

Investigator:Belinda Brown

Title:The effect of exercise participation on Aβ accumulation, CSF biomarkers and brain atrophy and age at onset

Date of Request:08/27/2019

Aim 1:1. Compare the rates of brain Aβ accumulation between exercising and sedentary asymptomatic mutation carriers.

Aim 2:2. Compare longitudinal changes in CSF levels of Aβ and tau between exercising and sedentary asymptomatic mutation carriers.

Aim 3:3. Compare rates of hippocampal and prefrontal cortex atrophy between exercising and sedentary asymptomatic mutation carriers.

Aim 44. Examine the relationship between baseline exercise levels and age at onset in symptomatic mutation carriers.

Investigator:Anne Fagan

Title:Head to head comparison of CSF assay platforms for identifying amyloid positivity

Date of Request:08/20/2019

Aim 1:To compare the analytic performance of the two automated assay platforms (Elecsys and Lumipulse) for measurement of CSF AB40, AB42, total tau and ptau181 in a common sub-cohort of DIAN samples

Aim 2:To define the best-performing CSF biomarker cut-point(s) for amyloid PET positivity for each of the assay platforms