rsfmri

An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment

Fast and easy visualization of fMRI data quality using carpet plots.

Project A06 - PI: Stefanie Brassen (Universität Hamburg)

Minimal test data for unit-testing PUMI (n=1)

Project A04 - PI: Sigrid Elsenbruch (Universität Duisburg-Essen)

Project A01 - PI: Ulrike Bingel (Universität Duisburg-Essen)

TRR289 Mega-dataset

Benchmarking 256 resting-state fMRI connectivity pipelines for Eyes Open vs Eyes Closed classification. Compares denoising strategies, atlases, and connectivity metrics across cross-site validation scenarios.

Code for the paper "Low-intensity focused ultrasound to human amygdala reveals a causal role in ambiguous emotion processing and alters local and network activity"

Project A02 - PI: Christian Büchel (UKE Hamburg)

Project A01 - PI: Ulrike Bingel (Universität Duisburg-Essen)

"Bochum-sample", resting state data, QST, psychometrics, raw+rpn+freesurfer (N=40)

BEP035 example data: Resting state fMRI studies of pain from OpenNeuro (n=212)

Derivative data from the Human Connectome Project, PTN-release, cleaned, extended (n=1003)

Project A01 - PI: Ulrike Bingel (Universität Duisburg-Essen)

Project A01 - PI: Ulrike Bingel (Universität Duisburg-Essen)

"Essen-sample", resting state data, QST, psychometrics, N=44, raw+rpn+freesurfer (N=44))

Project A03 - PI: Michael Rose (Universität Hamburg)

Test data of three example subjects for PUMI (n=3)

Project A11 - PI: Sven Benson (Universität Duisburg-Essen), Hana Rohn (Universität Duisburg-Essen)