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 21 - 30 of 145

Investigator:Eric McDade

Title:Baseline beta-amyloid and longitudinal non-amyloid biomarker changes

Date of Request:02/02/2017



Aim 1:To explore the relantionship of baseline measures of amyloid pathology and subsequent change in non-amyloid biomarkers.

Investigator:Dr. David B. Pushkin

Title:Theoretical Framework Characterizing Onset of Neurodegenerative Conditions

Date of Request:03/08/2017

Status:Not Approved


Aim 1:To generate a mathematical model explaining onset and progression of PD, CTE and other related neurological conditions as a consequence of CNS trauma

Aim 2:Generate a tentative mathematical rubric for analyzing individual CSF protein biomarker concentrations with existing data pool from ongoing and published research studies

Aim 3:Generate a more comprehensive explaination regarding onset and progression of neurodegenerative conditions merging principles of neuroscience, neuropathology, statistical thermodynamics, kinetics and equilibrium

Aim 4Extrapolate pooled and individual data towards determination of potential onset dates for neurodegenerative conditions and correlation with documented CNS trauma events

Investigator:Dr. Pieter Jelle Visser

Title:AD pathology and demographic, lifestyle, and comorbid factors: a subject level meta-analysis

Date of Request:03/09/2017



Aim 1:To develop an amyloid positivity screening score in subjects with normal cognition, subjective cognitive decline (SCD), mild cognitive impairment (MCI) and dementia. The screening score will be based on demographic variables, lifestyle, and comorbidity.

Aim 2:To evaluate the relation between biomarkers of amyloid positivity and other AD biomarkers in participants with normal cognition, SCD, MCI and dementia

Aim 3:To assess the impact of amyloid positivity on the course of cognitive decline in participants with normal cognition, SCD, MCI and dementia, and investigate how this is affected by demographic, lifestyle and comorbid variables.

Investigator:Berislav Zlokovic, Arthur Toga

Title:Vascular Contributions to Dementia and Genetic Risk Factors for Alzheimer�s Disease

Date of Request:03/14/2017



Aim 1:To show that loss of blood-brain barrier (BBB) integrity links vascular injury to neuronal injury in AD, and provide data implicating specific brain regions in the association between BBB damage and cognitive decline as influenced by APOE4 and PSEN1 mutations

Aim 2:Examine temporal relationship between BBB permeability, cerebral blood flow (CBF) and white matter lesions (WML).

Investigator:Thomas Liebmann

Title:Validation of quantitative virtual microscopy as a novel tool for early detection of neurodegeneration and Alzheimer�s disease from magnetic resonance imaging data

Date of Request:5/4/2017


Aim 1:Establish diagnosis accuracy on confirmed Alzheimer�s disease patient MRI scans using quantitative virtual microscopy

Aim 2:Establish early detection accuracy for discriminating pre-symptomatic degeneration from non-degenerating healthy individuals using quantitative virtual microscopy analysis on MRI scans


Title:DIAN Observational Study Exploration

Date of Request:5/15/2017


Aim 1:To carry out longitudinal analysis to understand the disease progression in subjects at different phases (prodromal, mild or moderate AD)

Aim 2:To explore the relationship between EYO and onset of disease

Aim 3:To explore the relationship between biomakers (PET, CSF etc) and disease progression

Aim 4To study the impact of amyloid status and APO-E on onset of disease

Investigator:Suman Jayadev

Title:MicroRNA regulation of central nervous system and systemic inflammation in AD

Date of Request:5/25/2017


Aim 1:To determine if AD pathogenesis involves altered miRNA mediated regulation of peripheral macrophage function, we will profile miRNA expression and function of monocyte derived macrophages (MDMs) isolated from familial AD gene carriers and non-carrier family controls.

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


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


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


Aim 1:Analysis of longitudinal connectome data

Aim 2:Statistical methods

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