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 1 - 10 of 224

Investigator:Pete Millar


Title:Modeling brain-predicted age in autosomal dominant Alzheimer disease

Date of Request:11/24/2020




Aim 1:Generate machine learning based model predictions of brain age from multimodal structural and functional neuroimaging data.




Aim 2:Test whether brain-predicted age is elevated in autosomal dominant AD and if it is associated with years to expected onset in mutation carriers.







Investigator:Zahinoor Ismail


Title:Neuropsychiatric Symptoms in Dementia

Date of Request:11/24/2020




Aim 1:Explore and detect associations between neuropsychiatric symptoms and ATN biomarkers in dementia paitents










Investigator:Yasamin Salimi


Title:Exploring the Dataset Landscape in Alzheimer's Disease and Building Progression Models

Date of Request:10/28/2020




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. Using machine learning and artificial intelligence




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




Investigator:NA


Title:The role of soluble β-amyloid peptide-42 in cognition and brain tropism: sub-analysis of the Dominantly Inherited Alzheimer Network

Date of Request:10/23/2020




Aim 1:To determine the extent to which the levels of soluble CSFAβ42 are higher in subjects with normal cognition compared with amyloid-positive subjects with cognitive impairment or dementia.




Aim 2:To evaluate whether the conversion from normal cognition to cognitive impairment is associated with a specific threshold of CSF Aβ42 and whether that threshold is dependent or independent from the levels of brain amyloid burden.




Aim 3:To evaluate whether levels of soluble CSFAβ42 are associated with hippocampal volume and PET-FDG uptake, and whether that association is dependent or independently from the brain amyloid burden.




Aim 4To examine whether the severity of cognitive impairment is affected to a greater extent by changes in soluble Aβ42 or amyloid burden.

Investigator:Carlos Cruchaga


Title:Using quantitative traits to identify new genes, biomarkers and drug targets for ADAD and LOAD

Date of Request:09/08/2020




Aim 1:To identify genetic variants associated with biomarker levels and quantitative traits in ADAD




Aim 2:To identify novel variants and genes associated with onset and progression by using multi-omics QTL data




Aim 3:To identify novel molecular biomarkers and drug targets by combining multi-omic QTL and Mendelian randomization analysis




Investigator:Patrick Lao


Title:Imaging White matter hyperintensities and Tau in Autosomal Dominant Alzheimer’s Disease

Date of Request:09/04/2020




Aim 1:To determine the difference in the relationship among tau and WMH, independent or dependent on amyloid, between mutation carriers and controls.




Aim 2:To characterize the timing of the relationship among tau and WMH in mutation carriers compared to controls.




Aim 3:To characterize any added benefit to incorporating spatial information from tau PET in Aims 1 and 2.




Aim 4To determine the difference in the relationship among baseline WMH and tau accumulation between mutation carriers and controls.

Investigator:Anna Dieffenbacher


Title:Specific facets of Personality traits in Autosomal Dominant Alzheimer disease

Date of Request:08/30/2020




Aim 1:1) to determine the different baseline differences between mutation carriers and non-mutation carriers in respect to the facets within each Personality Factor (OCEAN: openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism). 2) to analyze longitudinal changes of facets within mutation-carriers and non-carriers.










Investigator:Ronald Hawley


Title:TEST DATA REQUEST

Date of Request:08/07/2020




Aim 1:test the form




Aim 2:test the form 2




Aim 3:test the form 3




Aim 4test the form 4