Search Existing Data Requests

The Knight ADRC has supported many investigators at Washington University and at other institutions over the years. We wish to avoid the situation where two investigators study the same research question to avoid duplication of effort and potential conflict. To determine if your topic has already been studied with our resources, please search our database. If you find that your topic or a related topic has been submitted, you may wish to contact the investigator to inquire about their 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 number (e.g. T1004), the full request has been submitted and is either approved, disapproved or in process. If an entry has no ID number, then it represents a submission that has not yet been reviewed. Search terms are applied across an entire requests application including variables not displayed below. A more specific, detailed search may yield better results depending upon your needs.


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Investigator: Behnaz Jafari

Project Title: Enhancing Alzheimer’s Disease Detection: Fusion of EEG and fMRI Data Using Artificial Neural Networks

Date: [153]

Request ID: D2416

Aim 1: To develop a graph neural network encoder using non-linear Granger causality methods to model effective connectivity in fMRI data, focusing on individual brain regions in both healthy controls and individuals with Alzheimer’s disease.

Aim 2: To construct a recurrent neural network (RNN), such as Long Short-Term Memory (LSTM), encoder for EEG data across different frequency bands, for brain regions, targeting both healthy controls and Alzheimer’s disease cases.

Aim 3: To create a neural network-based decoder framework to integrate features extracted from MEG/EEG and fMRI time series data, leveraging the outputs from the RNN and GNN encoders, respectively.

Aim 4: To apply the developed framework to a datasets obtained from healthy controls and individuals diagnosed with Alzheimer’s disease for comprehensive analysis and validation


Investigator: Robert Schmidt

Project Title: Atlas with annotated neuropathology images

Date: [153]

Request ID: D2417

Aim 1: Free resource to the scientific community

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