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 190

Investigator:Daniel C Alexander

Title:Sequencing cognitive decline within familial AD progression

Date of Request:04/09/2019



Aim 1:Construct an event-based model of cognitive decline in dominantly-inherited AD from DIAN data using a similar set of outcomes to those in [Baker–AlzDem:DADM-2017]. This will include separating subscores into cognitive domains which will allow us to validate the new technique against current thinking in neurology and neuropsychology.

Aim 2:Compare different versions of the event-based model to determine which limitations are important to address, which elements of the model are essential, which variants of the model (and its parameters/settings) are feasible, and how much complexity can be supported by different-sized data sets.

Aim 3:Extend the model to include a broader set of biomarker data including tau PET, amyloid PET, CSF (molecular changes), MRI, DTI (atrophy and microstructural changes) and other factors. This will enable cognitive decline to be positioned within the pathophysiological cascade.

Investigator:Only me.

Title:Prediction of AD converter during preclinical stage only using MR brain morphometry.

Date of Request:04/07/2019



Aim 1:I have read the new paper entitled "Staging biomarkers in preclinical autosomal dominant Alzheimer’s disease by estimated years to symptom onset ". For about brain MRI, the study measured hippocampal volume and precnuneus cortical thickness, but I think, ADAD may have advanced cortical atrophy relative to hippocampal volume change. So, let me try to analyze using more advanced AI-drived brain morphometry method, it might prove positive significance at the trasitional stage (EYO 13-7).

Investigator:Professor John Gallacher

Title:Traumatic brain injury, emotional adversity and the long-term effects on adult outcomes and dementia

Date of Request:03/28/2019



Aim 1:Assess the relationship between retrospective self-report ACEs, TBIs and multiple adult biomedical, psychosocial, cognitive, and dementia outcomes in adults age 40-70 years. The consequences of traumatic brain injuries (TBI) on long-term cognitive outcomes is poorly understood however, there is support for evidence which suggests those who have experienced a TBI in younger adulthood experience diminished cognitive reserve which may accelerate cognitive deficits, premature cognitive decline and dementia risk (Wood, 2017). Furthermore, individuals who have experienced traumatic emotional experiences in younger years, also known as adverse childhood experiences (ACEs), a broad construct encompassing overall extreme difficulties and adverse experiences during childhood such as sexual, physical and emotional abuse, deprivation, and family dysfunction (e.g., McLaughlin, 2016) are at risk of adult depression (Liu, 2017), lower adult life satisfaction (Hughes et al., 2016) and dementia (Radford et al., 2017).

Aim 2:Investigate the longitudinal association between ACEs, TBIs and, cognitive decline and dementia outcomes across multiple time points in adults aged 40 to 70 years, testing the hypothesis that there may be an accumulative neurobiological load response associated with ACEs and TBIs. We propose a cross-platform cross-cohort investigation interrogating population cohorts to investigate self-report retrospective TBIs and ACEs as determinants of adult outcomes including cognition and dementia.

Investigator:Perminder S Sachdev

Title:CSF and blood protein biomarkers and APOE genotype status of early-onset Alzheimer’s disease variants: A systematic review and meta-analysis

Date of Request:03/20/2019



Aim 1:We have performed a meta-analysis and systematic review to compare core biomarkers (CSF Aβ42 and tau) across early-onset AD (EOAD) subtypes i.e. autosomal dominant Alzheimer’s disease (ADAD) and early onset sporadic Alzheimer’s disease (EOsAD). Furthermore, we are exploring several other potential markers of neurodegeneration in EOAD, including NFL, IgG and IL-6 which are emerging in the literature. A recent published article from DIAN group “Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease” Nature Medicine volume 25, pages 277–283 (2019)”. This article includes data for measurement of NFL in serum and CSF, provided data in graphical format. We need data in mean and standard deviation format to perform meta-analysis on NFL serum and CSF.

Investigator:Prof. Vijayalakshmi Ravindranath

Title:Sex-specific differences in cognitive decline in AD

Date of Request:03/05/2019



Aim 1:Study differences in trajectory of cognitive decline in males and females from DIAN dataset

Aim 2:Study differences in age of onset in AD between males and females

Investigator:Steven L. Wagner

Title:Dedifferentiation and neuronal lineage repression orchestrated through remodeling of the chromatin landscape define PSEN1 mutation-induced Alzheimer’s Disease

Date of Request:02/27/2019



Aim 1:Compare gene signature profiles and changes in chromatin topology observed in iPSC-derived EOFAD neurons to those reported in EOFAD subject post-mortem brain tissue

Investigator:Ting Ma

Title:Association of morphology and network connectivity of degenerative disease

Date of Request:02/21/2019



Aim 1:Morphological change mechanism of Alzheimer’s continuum

Aim 2:Structural connectivity change mechanism of Alzheimer’s continuum

Aim 3:Brain function connectivity variation of Alzheimer’s continuum

Aim 4Association of morphology and network connectivity in AD development

Investigator:Suman Jayadev

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

Date of Request:05/25/2017


Aim 1:Determine if FAD and SAD brain develop distinct patterns of myeloid cell heterogeneity.

Investigator:Adam L. Boxer, MD, PhD

Title:Individualized prediction of symptom onset in familial AD using structural MRI

Date of Request:02/11/2019



Aim 1:create individualized atrophy maps in patients with fAD

Aim 2:investigate the utility of these maps for predicting the likelihood of developing symptoms of dementia on longitudinal follow-up

Investigator:Randall Bateman MD

Title:Dominantly Inherited Alzheimer's Disease Protective Factor Study

Date of Request:01/29/2019



Aim 1:The overall objective is to identify factors that protect mutation-carriers from AD symptoms.

Aim 2:1. Obtaining the clinical, cognitive, biomarker and genetic results from the DIAN research study .

Aim 3:2. Administering a number of questionnaires assessing health and lifestyle factors to include the following: Current Health Status, Medical Conditions, Physical Functioning, Exposure History Form, Occupational and Environmental Exposure History.