A semi-supervised method for multi-subject FMRI functional alignment

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1098 - 1102
• Main Authors: Turek, Javier S., Willke, Theodore L., Po-Hsuan Chen, Ramadge, Peter J.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2017
• Subjects: Computational modeling; Data models; Feature extraction; fMRI; functional alignment; Linear programming; Mathematical model; semi-supervised method; shared response model; Surfaces; Training

Practical limitations on the duration of individual fMRI scans have led neuroscientist to consider the aggregation of data from multiple subjects. Differences in anatomical structures and functional topographies of brains require aligning data across subjects. Existing functional alignment methods s...