Multi-Task fMRI Data Fusion Using IVA and PARAFAC2

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1466 - 1470
• Main Authors: Lehmann, Isabell, Acar, Evrim, Hasija, Tanuj, Akhonda, M.A.B.S., Calhoun, Vince D., Schreier, Peter J., Adali, Tulay
• Format: Conference Proceeding
• Language: English
• Published: IEEE 23.05.2022
• Subjects: data fusion; Functional magnetic resonance imaging; Independent component analysis; independent vector analysis; Knowledge discovery; multi-task fMRI; Multitasking; PARAFAC2; Reliability; Signal processing; tensor decompositions; Tensors

Data fusion-the joint analysis of multiple datasets-through coupled factorizations has the promise to enable enhanced knowledge discovery, and hence is an active area. Various formulations of coupled matrix factorizations have been proposed, each with its own modeling assumptions. In this paper, we...