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 319

Investigator:Prof Ralph Martins

Title:Temporal ordering of plasma biomarkers and their association with amyloid pathology, cerebral atrophy, cerebral metabolism and cognition in autosomal dominant Alzheimer’s disease

Date of Request:03/08/2023

Status:withdrawn

ID:DIAN-D2304

Aim 1:Investigate the temporal order of AD-related plasma biomarker (abeta42/40 ratio, p-tau181, GFAP and NFL) divergence between ADAD mutation carriers and non-carriers as a function of EYO.

Aim 2:Investigate the association of AD-related plasma biomarkers with Aβ pathology (PiB-PET) and ADAD severity (CDR global) in mutation carriers.

Aim 3:Investigate the cross-sectional association of plasma biomarkers with neurodegeneration (hippocampal volume and precuneus thickness), cognition (MMSE, CDR-SB and composite cognition score) and cerebral metabolism (FDG-PET).

Aim 4Association of plasma biomarkers with subsequent neurodegeneration, cognitive decline, cerebral hypometabolism.

Investigator:Ben Handen

Title:Comparison of plasma NfL in ABC-DS and DIAN

Date of Request:03/03/2023

Status:pending review

ID:DIAN-D2303

Aim 1:Compare plasma NfL in ABC-DS and DIAN as a function of brain structure

Aim 2:Examine how plasma NfL and brain structure vary based on DIAN mutation type and location

Investigator:Chia-Ling Phuah

Title:WMH Spatial Patterns in ADAD

Date of Request:02/21/2023

Status:approved

ID:DIAN-D2302

Aim 1:Evaluate for difference(s) in WMH topographical distributions between AD and CAA

Investigator:Randall J. Bateman

Title:DIAN OBS Data for the DIAN-TU OLE

Date of Request:01/31/2023

Status:approved

ID:DIAN-D2301

Aim 1:Identify participant data to use as external controls for the DIAN-TU OLE

Aim 2:Pull the selected data and analyze as external controls for the DIAN-TU OLE.

Investigator:Nicole McKay

Title:Investigating how white matter integrity and tauopathy underpin cognitive decline in autosomal dominant Alzheimer disease.

Date of Request:10/24/2022

Status:approved

ID:DIAN-D2221

Aim 1:Characterize attentional control in autosomal dominant Alzheimer disease

Aim 2:Examine the relationship between attentional control and biomarkers of white matter health in autosomal dominant Alzheimer disease.

Aim 3:Consider the relationship between attentional control and tau in autosomal dominant Alzheimer disease.

Investigator:Haiyan Liu

Title:Estimated Year of Symptoms at Onset in DIAD-A Systemic Review and Meta-analysis

Date of Request:09/28/2022

Status:approved

ID:DIAN-D2220

Aim 1:1. To identify newly described highly penetrant DIAD variants using data from DIAN-OBS, DIAN-TU and from a literature review.

Aim 2:2. To update the DIAD mutation AAO using data from DIAN-OBS, DIAN-TU and from a literature review

Aim 3:3. To determine the accuracy of the AAO and EYO model to predict the actual symptom onset.

Aim 44. To explore the relationship of EYO with CSF biomarkers, FDG PET, brain MRI, PiB PET and survival duration

Investigator:Peter Millar

Title:Modeling brain-predicted age in autosomal dominant Alzheimer disease

Date of Request:09/14/2022

Status:approved

ID:DIAN-D2219

Aim 1:Generate machine learning model predictions of brain age from functional connectivity MRI and evaluate as a marker of autosomal dominant AD progression

Aim 2:Generate machine learning model predictions of brain age from volumetric MRI and evaluate as a marker of autosomal dominant AD progression

Aim 3:Compare functional and volumetric brain age estimates to existing MRI features in autosomal dominant AD

Investigator:Randall Bateman

Title:Influence of biological sex and gender identity in the spectrum of Autosomal Dominant Alzheimer’s Disease: An Investigation from the Dominantly Inherited Alzheimer’s Network (DIAN)

Date of Request:08/25/2022

Status:approved

ID:DIAN-D2218

Aim 1:To compare age at onset, clinical presentation, neuropsychological performance and rate of cognitive decline between women and men.

Aim 2:To investigate possible differences in the spatial and temporal development of cerebral tau & amyloid-β, brain glucose metabolism, and structural atrophy, as well as their relationships, in women and men.

Aim 3:To compare fluid biomarker levels and rates of change between women and men.

Investigator:Eileen Crimmins

Title:Race/Ethnicity Demographics of Alzheimers Disease Neuroimaging Studies

Date of Request:08/23/2022

Status:pending review

ID:DIAN-D2217

Aim 1:Summarize race/ethnicity demographics of the DIAN observational study, in addition to other neuroimaging studies of Alzheimers Disease and aging

Investigator:Haiyan Liu

Title:Autophagy-Lysosome network proteins and disease staging in DIAN

Date of Request:08/18/2022

Status:approved

ID:DIAN-D2216

Aim 1:To identify autophagy-lysosome pathway protein changes in DIAD compared with control

Aim 2:To determine the relationship of classic AD biomarkers and relationship with autophagy-lysosome pathway proteins

Aim 3:To compare mitochondria functional protein changes in DIAD with control and their relationships with autophagy-lysosome pathway proteins.

Aim 4To identify the protein changes in endosome, ubiquitin-proteasome system and their relationship with lysosome proteins in DIAN compared with control.