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 11 - 20 of 209

Investigator:Prof. Dr. Martin Hofmann-Apitius


Title:The Virtual Brain Cloud

Date of Request:01/20/2020




Aim 1:Providing an overview on all accessible AD/dementia clinical cohort datasets. Systematically compare them by looking at the actual data, not only metadata. 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:Jae Seung Kim


Title:The effect of resilience related life experiences on individual age-at-symptom onset in Dominantly Inherited Alzheimer’s Disease

Date of Request:12/31/2019




Aim 1:To investigate the effect of resilience related life experiences, such as leisure time physical activity, lifetime cognitive engagement and social gathering, on individual variation in age-at-symptom onset from the age of parental onset in Dominantly Inherited Alzheimer’s Disease.




Aim 2:among the modifiable lifestyle factors including leisure time physical activity, lifetime cognitive engagement and social gathering, we determine which of these behavioral factors may be associated with the brain’s ability to cope with the pathological burden of AD.




Aim 3:we present how lifestyle factors affect the individual variation in age-at-symptom onset through cognitive and brain resilience, despite the presence of adverse heritable and acquired factors.




Investigator:Xenia Kobeleva


Title:Modelling brain dynamics in dominantly inherited Alzheimer’s disease

Date of Request:12/16/2019




Aim 1:1. Modelling the effect of amyloid-beta and tau on neural dynamics in two models (dynamic mean-field model and Hopf model)




Aim 2:2. Modelling the effect of tau and amyloid beta in a model of effective connectivity







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