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 231 - 240 of 291

Investigator:Mathias Jucker


Title:Vital signs in the different stages of dominantly inherited Alzheimer`s disease

Date of Request:2/17/2014

Status:A

ID:DIAN-D1403




Aim 1:To compare vital signs between mutation carriers (MC) and non-mutation carriers (NMC) at different clinical stages as assessed with Clinical Dementia Rating (CDR) scale.




Aim 2:To compare vital signs between MC and NMC as a function of estimated years to onset (EYO).




Aim 3:To determine the association between vital signs and clinical parameters (age, gender, EYO, GDS), psychometric parameters (MMSE, CDR global, CDR sum of boxes, Logical Memory, delayed recall), biochemical biomarkers (CSF levels of Abeta 1-42 and tau) and neuro-imaging biomarkers (PiB-PET SUVR).




Investigator:Peter Nestor


Title:QSM analysis of susceptibility weighted imaging data

Date of Request:3/26/2014

Status:A

ID:DIAN-D1404




Aim 1:development of quantitative susceptibility mapping as a novel biomarker in preclinical AD




Aim 2:To examine whether early basal ganglia PIB ligand uptake is associated with altered iron levels







Investigator:Joshua Grill


Title:Understanding attitudes toward clinical trials among persons at risk for autosomal dominant Alzheimer's disease

Date of Request:6/3/2014

Status:IP

ID:DIAN-D1405




Aim 1:To characterize the differences in DIAN participants who do and do not want to know their genetic status




Aim 2:To examine the proportion of at-risk individuals who would change their mind whether to undergo genetic testing in the setting of a clinical trial and to characterize differences in these participants, compared to those continue to refuse genetic testing




Aim 3:To assess the effects of the possibility of receiving placebo and varying drug/placebo ratios on persons’ desire to undergo genetic testing and participate in a clinical trial




Aim 4To assess the effects of the possibility of an open-label extension on persons’ desire to undergo genetic testing and participate in a clinical trial

Investigator:Randall Bateman


Title:Phenotypic Variability in Autosomal Dominant Alzheimer's Disease

Date of Request:6/30/2014

Status:IP

ID:DIAN-D1406




Aim 1:Establish correlations between specific ADAD mutation types and clinical presentation, taking into account the familial genetic background.




Aim 2:Aim 2. Identify groups of mutations which have similarities in both clinical phenotype and biomarker and imaging profiles.







Investigator:Anders Martin Fjell


Title:Patterns and mechanisms of brain atrophy in healthy aging and dementia

Date of Request:8/13/2014

Status:IP

ID:DIAN-D1407




Aim 1:To test the relationship between structural brain measures, amyloid levels and cognitive function










Investigator:Dr Kirsi Kinnunen


Title:Fronto-thalamic effective connectivity in familial Alzheimer?s disease

Date of Request:9/18/2014

ID:DIAN-D1409




Aim 1:To investigate effective connectivity of three anatomically defined fronto-thalamic circuits in the DIAN baseline data. Specifically, we propose to use stochastic dynamic causal modelling (sDCM) of regional time-courses extracted from resting-state functional MRI (rs-fMRI).




Aim 2:To determine whether abnormalities of effective connectivity within these neural circuits can be detected during presymptomatic or early-stage familial Alzheimers disease (FAD), and to evaluate the utility of different metrics as potential imaging biomarkers.




Aim 3:To explore the (cross-sectional) relationships between the imaging metrics and measures of cognitive function and behaviour.




Investigator:Paul Thompson, Ph.D.


Title:Growth factors, neuroinflammation, exercise, and brain integrity

Date of Request:9/18/2014

ID:DIAN-D1408




Aim 1:Determine how inflammation gene risk variants influence inflammation marker TNFα, and how genes and TNFα together relate to brain volume.




Aim 2:Show how growth factors and homocysteine relate ROI (hippocampus, cingulate gyrus, prefrontal cortex) volumes.




Aim 3:Determine (1) how our ROI volumes relate to measures of exercise (2) how growth factors and TNFα modulate any relationship between exercise and these ROIs.




Aim 4Evaluate how baseline serum measures and candidate risk genes together predict changes in ROI volume and cognition over 2 years.

Investigator:Clifford R. Jack, Jr., M.D.


Title:TBM-SyN in DIAN

Date of Request:10/2/2014

ID:DIAN-D1410




Aim 1:Measure atrophy rates in DIAN subjects with a new algorithm called TBM-SyN




Aim 2:Test hypothesis that sample size estimates will be superior with TBM-SyN than with longitudinal freesurfer







Investigator:Dale Bredesen


Title:Self-report and informant report personality change in familial Alzheimer's disease in the Dominantly Inherited Alzheimer Network

Date of Request:10/31/2014

ID:DIAN-D1411




Aim 1:Examine longitudinal change in different domains of personality in carriers and noncarriers of ADAD mutations.




Aim 2:Compare self-report and informant report personality ratings at different CDR levels.




Aim 3:Identify differences in baseline personality traits between entirely presymptomatic ADAD mutation carriers and non-carriers.




Aim 4Compare scores on IPIP sub-items that represent autistic traits between asymptomatic ADAD mutation carriers and non-carriers, separately for persons inheriting PSEN1, APP, and PSEN2 mutations.

Investigator:not applicable


Title:Clinical and cognitive comparison of LOAD and ADAD

Date of Request:11/17/2014

ID:DIAN-D1412




Aim 1:Determine whether change in cognition and clinical measures of the UDS is similar in LOAD and ADAD