… the application of the sliding window technique to detect dFC in experimental rs-fMRI data,
focusing on the choice of the FC metric and the size of the window used. In particular, we …

… That is to say, fluctuations that can be detected by sliding-window techniques, since … detection
power of the sliding-window estimator κ upon low pass-filtering fMRI time series is entirely …

… We also simulated realistic resting state fMRI time series including multiple fluctuation …
analysis in this study, and since the sliding window technique operates as a low pass filter with the …

… However, in the context of a simulation study it allows us to compute how well the sliding
window technique can theoretically do if we were to always choose the optimal …

… In addition, a sliding-window correlation procedure identified … Sliding window correlation
was performed to complement the … Whole-brain sliding window calculations were implemented …

… the dynamic analysis of resting-state functional MRI scans, which can … the need for new
adaptive window analysis techniques. … Dynamic analysis of resting state FC holds the potential to …

… Recently, the fMRI community has 11 realized the limitation of assuming static connec- 12
… 13 in the resting state fMRI (rs-fMRI) analysis. The 14 sliding window technique has been …

… The sliding window method is relatively straightforward: the correlation matrix is … the resting
state time series, and this is repeatedly recalculated as the starting point of the window shifts …

… techniques can shorten the acquisition time for a whole-brain image to sub-second scale. In
this study we chose to measure resting-state fMRI using MREG technique, … sliding window; …

… range of resting state measures in combination with machine learning techniques to classify
… In order to determine the FC states, we clustered the sliding window FC matrices using k-…