Tracing spatial dynamics during a task

Written By Evrim Acar Ataman

In the TrACEr project, we use tensor factorizations to reveal interpretable patterns from (dynamic, heterogeneous) data sets. While our main focus is omics data analysis, in parallel, we also work on neuroimaging data analysis and demonstrate how different analysis approaches (tensor methods vs. ICA-based approaches) perform under different settings. Here are two recent applications:

Tracing spatial dynamics during a task

E. Acar, M. Roald, K. M. Hossain, V. D. Calhoun, T. Adali. Tracing Evolving Networks Using Tensor Factorizations vs. ICA-Based Approaches, Frontiers In Neuroscience, 16: 861402, 2022

Joint analysis of fMRI data from multiple tasks

I. Lehmann, E. Acar, T. Hasija, M.A.B.S. Akhonda, V. D. Calhoun, P. J. Schreier, T. Adali. Multi-task fMRI Data Fusion, ICASSP, 2022

Evrim Acar Ataman
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