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 61 - 70 of 294

Investigator:Ni Shu


Title:Human brain connectome study with AD biomarkers

Date of Request:12/06/2021




Aim 1:To develop an association analysis method for multi-modal human connectome




Aim 2:To systematically evaluate the damage patterns of the brain network due to AD biomarkers




Aim 3:To establish cross-scale correlation models for different stages of AD




Aim 4To establish an accurate AD prediction model based on features extracted from brain networks that are sensitive to biomarker changes

Investigator:Rawan Tarawneh


Title:Proteomic and Transcriptomic Measures of Vascular Injury Markers in AD

Date of Request:11/23/2021




Aim 1:Compare differences in CSF and brain RNA levels of the vascular injury markers (GDF-15, MCP-1, RAGE, MPO, IL-18, ST2/IL1R1, CDH5 [VE-cadherin], E-selectin, SDC3) between symptomatic ADAD mutation carriers, asymptomatic ADAD mutation carriers, and healthy controls.










Investigator:Rawan Tarawneh


Title:Proteomic analyses of inflammatory pathways in ADAD

Date of Request:11/09/2021




Aim 1:Investigate the association of CSF proteomic signatures with cognition in ADAD




Aim 2:Investigate the associations of CSF proteomic signatures with brain atrophy in ADAD




Aim 3:Investigate the associations of CSF proteomics with amyloid and tau imaging in ADAD




Investigator:Catherine Kaczorowski


Title:Development of imaging-based biomarkers of resilience to assess the effectiveness of interventions in Alzheimer's Disease mouse models

Date of Request:11/01/2021

Status:Approved

ID:DIAN-D2117




Aim 1:develop resilience-based interventions towards promoting cognition resilience in Alzheimer’s Disease patients




Aim 2:identify common image-biomarkers that differentiate both resilient and susceptible AD-BXD mice as well as resilient/susceptible AD patients







Investigator:Jonathan Kipnis


Title:Parenchymal border macrophages regulate brain physiology via CSF flow dynamics

Date of Request:10/25/2021




Aim 1:Identify key mechanisms driving amyloid beta pathology in both mice and humans.










Investigator:Johannes Levin


Title:Correlates of synucleinopathy in DIAN mutation carriers

Date of Request:10/15/2021

Status:Approved

ID:DIAN-D2116




Aim 1:The aim of the project is described in detail in data request DIAN-D1612 and amendment 1 and 2 to DIAN-D1612










Investigator:Beau Ances and Tammie Benzinger


Title:Imaging Tauopathy in the Dominantly Inherited Alzheimer Network

Date of Request:10/13/2021




Aim 1:To use an accelerated failure time model to see if plasma markers predict tau deposition.










Investigator:Bateman


Title:Relationship between CSF sTREM2 and Cognitive Decline in AD

Date of Request:09/30/2021




Aim 1:To characterize the relationship between soluble TREM2 (sTREM2) dynamics and the nature and magnitude of cognitive changes in autosomal dominant Alzheimer Disease (ADAD).










Investigator:Prof. Dr. Johannes Levin


Title:Frequency and longitudinal course of neuropsychiatric symptoms in autosomal dominant Alzheimer’s Disease

Date of Request:09/10/2021

Status:Approved

ID:DIAN-D2115




Aim 1:Describing neuropsychiatric phenotypes in ADAD mutation carriers using a data driven approach by PCA




Aim 2:Examine the occurence of neuropsychiatric symptoms in the course of the disease




Aim 3:Test whether structural and metabolic brain changes are associated with particular neuropsychiatric symptoms




Investigator:zhangjing


Title:Variation and study of dynamic effective connection in default model network of DIAN corhort

Date of Request:08/08/2021

Status:Pending Approval

ID:DIAN-D2114




Aim 1:The dynamic effective connection method was used to study the related brain directed networks in AD patients with autosomal imaging inheritance




Aim 2:Identify relevant effective brain networks, especially the variation of DMN brain network structure, judge their abnormalities within and between networks, and look for specific network image markers