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 171 - 180 of 318

Investigator:Raquel Sánchez-Valle


Title:Early cortical micro and macrostructural changes in autosomal dominant Alzheimer’s disease

Date of Request:05/30/2018

Status:Pending

ID:DIAN-D1811




Aim 1:Assess the micro and macrostructrure cortical changes in ADAD. We will investigate these changes in relation to the estimated years to symptom onset.




Aim 2:Study the relationship between CSF biomarker levels, plasma NfL levels and the aforementioned cortical micro and macrostructural changes. We will investigate the effect of CSF Aß1-42 and PIB values, t-tau, p-tau, NfL levels and plasma NfL levels on the trajectory of changes.







Investigator:Tammie Benzinger


Title:Aging Independent Detection of Atrophy: Validating A Structural MR-based Diagnostic Tool

Date of Request:05/17/2018

Status:Pending

ID:DIAN-D1810




Aim 1:Improve the Individual Longitudinal Participant Report (clinical tool used to analyze structural MR data currently in use at Barnes-Jewish Hospital) in order to maximize its diagnostic utility.




Aim 2:Determine how effectively the ILP can use structural MR data to distinguish different dementia types in a clinical setting.







Investigator:Marco Duering


Title:Disentangling brain damage due to Alzheimer’s and vascular disease using a novel diffusion bitensor model

Date of Request:04/19/2018

Status:Approved

ID:DIAN-D1809




Aim 1:To determine the diffusion signature in different patient samples, covering the entire spectrum of neurodegenerative and small vessel pathology




Aim 2:To assess the association between the bitensor DTI measures and biomarkers for AD and SVD







Investigator:Corey Bolton


Title:Neuropsychological differentiation of autosomal dominant and sporadic early-onset Alzheimer's disease

Date of Request:03/29/2018

Status:Pending

ID:DIAN-D1808




Aim 1:To describe the typical neurocognitive profile of autosomal-dominant Alzheimer's disease




Aim 2:To distinguish differences in neurocognitive presentation between patients with autosomal-dominant Alzheimer's disease from the DIAN database and those with sporadic, early-onset Alzheimer's disease from the NACC database.







Investigator:Michele Cavallari


Title:Assessing the association between perivascular dysfunction and beta-amyloid burden in subjects with or at risk for dementia

Date of Request:03/21/2018

Status:Approved

ID:DIAN-D1807




Aim 1:To assess group differences in perivascular dysfunction, under the hypothesis that the number of MRI-evident ePVS is: symptomatic carriers > asymptomatic carriers > mutation non-carriers.




Aim 2:To estimate the association between MRI-evident ePVS and PET-derived measures of beta-amyloid load in cross-sectional and longitudinal analyses, under the hypothesis that perivascular dysfunction contributes to the accrual of beta-amyloid.







Investigator:Simone Wahl


Title:DIAN Elecsys CSF and Amyloid Imaging Concordance

Date of Request:02/21/2018

Status:Approved

ID:DIAN-D1806




Aim 1:Determine the concordance between CSF measures obtained via the Elecsys platform




Aim 2:Assess Elecsys CSF measure relative to other clinical and cognitive variables




Aim 3:Assess how well Elecsys measures predict clinical and cognitive progression




Investigator:Viktoria Andreeva


Title:DIAN data analysis in a tranSMART platform

Date of Request:02/16/2018

Status:Pending

ID:DIAN-D1805




Aim 1:Curate the DIAN data and prepare for tranSMART loading




Aim 2:Perform investigation of data in tranSMART platform







Investigator:Dr. Alan C. Evans


Title:Comparing Multifactorial Pathologic Trajectories in Asymptomatic Autosomal Dominant Alzheimer’s Disease Mutation Carriers and Late-Onset Alzheimer’s Disease patients

Date of Request:02/04/2018

Status:Approved

ID:DIAN-D1804




Aim 1:Identify disease triggering events in each DIAN subject, using all the available multimodal neuroimaging data




Aim 2:Subdivide and stage the DIAN subjects based on the identified individual causal pathological mechanisms (from Aim 1)




Aim 3:Compare both the obtained potential triggering events and the subjects’ subdivision/staging (from Aims 1 and 2 respectively) with the equivalent results previously obtained for LOAD patients from ADNI database.




Investigator:Howard Rosen, Brad Boeve, Adam Boxer


Title:Quantification of Longitudinal Volume Change in Familial FTD (fFTD)

Date of Request:01/28/2018

Status:Approved

ID:DIAN-D1803




Aim 1:To quantify rates of change in structural (T1w) imaging in symptomatic fFTD




Aim 2:To quantify rates of change in structural (T1w) imaging in presymptomatic fFTD




Aim 3:To derive subject-specific maps of volumetric change in fFTD




Investigator:Betty Tijms


Title:Linking brain connectivity changes to development of symptoms in autosomal dominant AD

Date of Request:01/27/2018

Status:Approved

ID:DIAN-D1802




Aim 1:To study the association of grey matter connectivity in autosomal dominant AD with estimated year of onset and cognitive decline.




Aim 2:To study associations between grey matter connectivity alterations and AD and injury markers in CSF (aβ42, aβ40, p-tau, t-tau, neurogranin, VLIP-1, SNAP-25, NRGN, YKL-40) and PET (aβ, FDG, and tau) cross-sectionally and longitudinally.




Aim 3:Compare cross-sectional findings in grey matter connectivity with longitudinal changes.