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.

Wyświetlono 1 - 10 z 196

Investigator:DUC KHANH TO


Title:Estimating ROC surface and selecting an optimal pair of thresholds for CSF markers

Date of Request:12/13/2019




Aim 1:Estimate the ROC surfaces for visualizing the accuracy of CSF biomarkers in the clustered data setting




Aim 2:Obtain the optimal pairs of thresholds that can be used in practice for screening purposes.







Investigator:Colin Masters


Title:Alzheimer’s Dementia Onset and Progression in International Cohorts

Date of Request:12/11/2019




Aim 1:To determine cutpoints for preclinical, prodromal and clinical AD in relation to age, cognition, Aβ, tau and neurodegeneration markers




Aim 2:To determine rates of progression in preclinical, prodromal and clinical AD in relation to age, sex, cognition, Aβ, tau and neurodegeneration markers




Aim 3:To determine moderators of disease in preclinical, prodromal and clinical AD




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