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 81 - 90 of 294

Investigator:Anna Dieffenbacher


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

Date of Request:08/30/2020

Status:approved

ID:DIAN-D2016




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:Suman Jayadev


Title:Investigating microRNA and immune gene regulation in fAD gene carriers

Date of Request:07/30/2020

Status:approved

ID:DIAN-D2015




Aim 1:To determine if AD pathogenesis involves altered gene regulation of peripheral macrophage function, we will profile miRNA/mRNA expression in monocytes isolated from ADAD gene carriers or age-matched controls. We hypothesize that dysregulated peripheral immune cells in ADAD further contribute to disease. In collaboration with the Wash U DIAN site, we have collected CD14 cells from DIAN participants. We will use computational approaches to characterize the impact of ADAD mutations on peripheral cells. We include DIAN collected variables for analyses.










Investigator:Disha Shah


Title:Functional connectivity disruptions at early stages in Alzheimer’s Disease: a comparison of brain networks in mouse models and humans.

Date of Request:07/20/2020

Status:approved

ID:DIAN-D2014




Aim 1:We would like to access rsfMRI data from APP and PSEN1/2 carriers versus non carriers to compare functional connectivity disruptions in human AD with functional connectivity disruptions we observe in mouse models of Alzheimer's pathology. We would like to compare whether the same brain regions are involved, to study the extent to which our findings in mice can be translated to humans.










Investigator:n.a.


Title:Neurological examination findings in Alzheimer disease

Date of Request:06/22/2020

Status:approved

ID:DIAN-D2013




Aim 1:to determine a muster of neurological examination findings in AD and to investigate their prevalences over the disease course




Aim 2:evaluate the capability of neurological examinations findings in Alzheimer disease to distinguish mutation carriers from non mutation carriers among mildly cognitive symptomatic at risk individuals




Aim 3:to analyze cross-sectional and




Aim 4longitudinal associations between cognitive performance and neurological examination findings in Alzheimer disease

Investigator:Jeremy Strain


Title:Functional and Structural Correlates of Genetics in ADAD

Date of Request:06/15/2020

ID:DIAN-D2012




Aim 1:Does connectivity strength change based on APOE status or associate with the polygenetic risk score in an ADAD cohort.




Aim 2:Does structural connectivity change based on APOE status or associate with the polygenetic risk score in an ADAD cohort.




Aim 3:Does structural or functional connectivity temporally associate with proteomic data.




Investigator:NA


Title:Changes in personality in DIAN

Date of Request:05/08/2020

Status:Approved

ID:DIAN-D2011




Aim 1:To evaluate the magnitude of within person personality change in DIAN.




Aim 2:To establish a causal link between personality change and AD biomarkers




Aim 3:Evaluate which specific “facets” of personality shown the most reliable change in preclinical ADAD.




Investigator:Patrick Luckett


Title:Effects of HIV and Aging on Resting-state Networks

Date of Request:05/06/2020

ID:DIAN-2010




Aim 1:Combine data from numerous studies to investigate changes in resting state networks and volumetrics that occur over the lifespan in healthy controls and people living with HIV with machine learning.




Aim 2:Utilize data driven machine learning based feature selection methods to search for complex relationships among volumetrics, resting state, and genetic data.







Investigator:Ruth Peters


Title:Blood pressure and Alzheimer's pathology, the next step in understanding the relationship

Date of Request:05/04/2020

Status:Approved

ID:DIAN-D2009




Aim 1:To examine the impact of blood pressure on cognitive function in the well characterised DIAN population




Aim 2:To evaluate the relationship between BP and Aß accumulation







Investigator:Xiaolei Shi


Title:The investigation of cerebral small vessel disease in The Dominantly Inherited Alzheimer Network

Date of Request:05/03/2020

Status:Approved

ID:DIAN-D2008




Aim 1:To study the burden of cerebral small vessel disease in DIAN




Aim 2:To study the associations of cerebral small vessel disease neuroimaging markers with PSEN1, PSEN2, or APP gene mutations




Aim 3:To investigate the longitudinal changes of cerebral small vessel disease in DIAN




Investigator:Prof. dr. G.J. Biessels


Title:Critical white matter connections in AD: unraveling their sensitivity to AD pathology and functional relevance

Date of Request:04/06/2020

Status:Approved

ID:DIAN-D2007




Aim 1:To examine if critical and non-critical white matter connections are differentially affected by AD in mutation carriers as compared to non-carriers, also considering burden of AD pathology and disease stage.




Aim 2:To explore if critical and non-critical white matter connections differentially affect cognition in AD mutation carriers, again also considering disease stage.