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 201 - 210 of 318

Investigator:Christoph Laske and Mathias Jucker


Title:Association between cognition and physical activity in autosomal dominant Alzheimer`s disease

Date of Request:6/6/2017

ID:DIAN-D1715




Aim 1:To compare cross-sectional and longitudinal physical activity between mutation carriers (MC) and non-mutation carriers (NC) as a function of estimated years to symptom onset (EYO) and at different clinical stages as assessed with Clinical Dementia Rating (CDR) scale.




Aim 2:To determine the association between cross-sectional and longitudinal physical activity and cognitive parameters (MMSE, CDR global, CDR sum of boxes, Logical Memory, delayed recall).




Aim 3:To determine the minimum and optimum level of physical activity that may have beneficial effects on cognitive functioning and cognitive decline.




Investigator:Tammie Benzinger, M.D. Ph.D.


Title:Development of a multi-modality deep convolutional neural network feature extraction algorithm for prediction of longitudinal biomarker evolution in Alzheimer’s disease.

Date of Request:6/28/2017

ID:DIAN-D1719




Aim 1:Develop and implement an in-lab processing pipeline for using deep neural networks for analysis of cross-sectional and longitudinal MRI, PET, clinical, and psychometric data, with both single and multi-modality implementations.




Aim 2:Replicate findings from previous studies showing successful cross-sectional disease-state classification of subjects using single modality (volumetric MRI) and multi-modality data in the DIAN, Knight ADRC, ADNI reprocessed, and AIBL reprocessed (when available) cohorts.




Aim 3:Utilize the developed platform for deeper exploration of the dynamics of Alzheimer’s biomarkers between ADAD and LOAD cohorts.




Aim 4Explore the utility of deep neural networksfor examining longitudinal relationships between biomarkers and disease progression.

Investigator:William Shannon


Title:DIAN fMRI Longitudinal Data Analysis Proposal

Date of Request:6/28/2017

ID:DIAN-D1718




Aim 1:Analysis of longitudinal connectome data




Aim 2:Statistical methods




Aim 3:Improve tracking of brain deterioration and identify earlier prognostic biomarkers




Investigator:N/A


Title:Factors associated with CDR>0 diagnosis in Non-carriers

Date of Request:7/6/2017

ID:DIAN-D1720




Aim 1:Examine features associatd with a CDR.0 diagnosis in non-carriers










Investigator:Anthony Stevens


Title:Pharmacological chaperones effects on PS1 levels with the specific PS1 mutations

Date of Request:2/21/2011

Status:A

ID:DIAN-D1108




Aim 1:To investigate our pharmacological chaperones effects on PS1 levels with the specific PS1 mutations of patients currently enrolled in the DIAN studies, using our in-house cell based PS1 EOFAD models.




Aim 2:Knowledge of the mutations and pedigree size will help us prioritize which PS1 mutations to test in our models.







Investigator:Nick Fox


Title:Innate Immune System Dysfunction in Neurodegeneration

Date of Request:5/23/2011

Status:A

ID:DIAN-D1103




Aim 1:Registration and subtraction-based methods of volume change.




Aim 2:Use Voxel-based morphometry to look for patterns of difference between gene-positive and gene-negative individuals as well as differences between genetic sub-types.




Aim 3:Tensor-based morphometry. The power of non-linear registration to provide a realistic and very precise matching of serial data.




Investigator:Mark Raichle


Title:Resting Brain Metabolism in Familial Alzheimer's Disease

Date of Request:6/1/2011

Status:IA

ID:DIAN-D1109




Aim 1:Examine the relationship between oxygen and glucose in the brain.










Investigator:John Ringman


Title:Request for individual identifiable data for Case Report

Date of Request:8/3/2011

Status:A

ID:DIAN-D1102




Aim 1:Sole purpose is to write up a case report of a severely demented woman with a novel PSEN1 mutation.










Investigator:John Ringman


Title:Clinical and Imaging Characteristics of the I238M Mutation in Presenilin-1: Report of a New Mutation

Date of Request:8/22/2011

Status:A

ID:DIAN-D1106




Aim 1:The goal of this study is to describe, in depth, the clinical and imaging characteristics of this novel mutation.










Investigator:John Ringman


Title:Identification of cerebral microhemorrhages in persons carrying familial AD mutations

Date of Request:08/22/2011

Status:Pending

ID:DIAN-D1104




Aim 1:Ascertain the prevalence of CAA in FAD using the clinical radiological interpretation of the presence of microhemorrhages on susceptibility-weighted MRI images (SWI)




Aim 2:to relate the location of microhemorrhages to amyloid deposition as measured using PIB scans




Aim 3:explore the relationship of microhemorrhages to FAD mutation type, adjusted age, CDR sum of boxes score, gender, and APOE genotype.




Displaying 201 - 210 of 318