Assessment of dynamic functional connectivity in resting‐state fMRI using the sliding window technique
Brain and Behavior2019Vol. 9(4), pp. e01255–e01255
Citations Over TimeTop 10% of 2019 papers
Abstract
In the case of MI and VI, a window size of at least 120 s was found to be necessary for detecting dFC for some of the previously identified dynamically connected regions.
Related Papers
- → Single-scale time-dependent window-sizes in sliding-window dynamic functional connectivity analysis: A validation study(2020)35 cited
- → Comparative analysis of false discovery rate methods in constructing metabolic association networks(2014)9 cited
- General correlation and partial correlation analysis in finding interactions: with Spearman rank correlation and proportion correlation as correlation measures(2015)
- → Validating Dynamicity in Resting State fMRI with Activation-Informed Temporal Segmentation(2020)2 cited
- → Comparing sliding window correlation and instantaneous phase coherence in fMRI dynamic functional connectivity analysis(2023)