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 91 - 100 of 294

Investigator:Bret Bostwick


Title:Biomarker Modeling in Dominantly Inherited Alzheimer's Disease

Date of Request:03/17/2020

Status:Approved

ID:DIAN-D2006




Aim 1:Compare longitudinal changes in CSF biomarkers, serum biomarkers and neuroimaging biomarkers.




Aim 2:Analyze longitudinal changes in CSF biomarkers, serum biomarkers and neuroimaging biomarkers.







Investigator:Nelly Joseph-Mathurin


Title:Genotype in dominantly inherited AD for clinical trial design

Date of Request:03/04/2020

Status:Approved

ID:DIAN-D2005




Aim 1:Describe A/T/N trajectories per mutation type (APP, PS1, and PS2)




Aim 2:Define risk factors for ARIA per mutation type (APP, PS1, and PS2)




Aim 3:Develop and validate a prediction model for positive or adverse outcomes of anti-Aβ disease modifying treatment for DIAD individuals in clinical trials




Investigator:-


Title:Cortical diffusion analysis in Dominantly Inherited Alzheimer’s disease (DIAD)

Date of Request:02/27/2020

Status:Approved

ID:DIAN-D2004




Aim 1:Test a novel MRI analysis tool to investigate the cortical architecture




Aim 2:Identify neural cortical architecture signature in DIAD




Aim 3:Test the discrimination power of the novel cortical diffusivity measures in Alzhiemer's disease groups




Aim 4Test the prediction power of the novel cortical measures in Alzheimer’s disease groups

Investigator:Yakeel T. Quiroz


Title:Sex differences in Alzheimer’s disease pathology, neurodegeneration and cognition in autosomal dominant Alzheimer’s disease

Date of Request:02/18/2020

Status:Approved

ID:DIAN-D2003




Aim 1:1. To extend our study on sex differences to other ADAD mutations and confirm our preliminary findings in a much larger sample of ADAD mutation carriers;




Aim 2:2. To inform power calculations for appropriate sample size, based on estimated effects, for an upcoming 2020 grant submission on sex differences in ADAD (i.e. career development award of postdoctoral fellow, Dr. Vila-Castelar).




Aim 3:3. To examine sex differences in ADAD mutation carriers at different clinical stages, from asymptomatic to symptomatic stages, with available biomarker and imaging data, and compare with age-matched noncarriers, which is not yet available in our group.




Investigator:Ruchika S Prakash


Title:Brain-based model of Alzheimer’s disease pathology

Date of Request:02/05/2020

ID:DIAN-D2002




Aim 1:To externally validate a brain based model of Alzheimer’s disease pathology










Investigator:Prof. Dr. Martin Hofmann-Apitius


Title:The Virtual Brain Cloud

Date of Request:01/20/2020

ID:DIAN-D2001




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




Displaying 91 - 100 of 294