Locally low-rank (LLR) regularization is extended to a multi-echo tensor framework for resting-state fMRI, building on previous generalizations of LLR frameworks. We demonstrate substantial increases in temporal SNR with improved robustness in mapping default mode, auditory, and sensorimotor resting-state connectivity networks in a preliminary seed-based analysis.
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