HIGHLIGHTS
- who: Lilianne R. Mujica-Parodi from the Department of Biomedical Engineering, Stony Brook University School of Medicine, Stony Brook, NY, USA, Department of have published the research: Signal Fluctuation Sensitivity: An Improved Metric for Optimizing Detection of Resting-State fMRI Networks, in the Journal: (JOURNAL)
- what: The authors propose a new measure-SFS-that distinguishes between neurobiologically-relevant fluctuations of interest, and nuisance fluctuations due to physiological or scanner artifact. The authors demonstrate that SFS positively-and tSNR negatively- correlates with dynamic fidelity in a dynamic phantom, as well as with the detection power of . . .
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