Effects of motion related outliers in dynamic functional connectivity using the sliding window method

• Published in: Journal of neuroscience methods Vol. 330; p. 108519
• Main Authors: Savva, Antonis D., Kassinopoulos, Michalis, Smyrnis, Nikolaos, Matsopoulos, George K., Mitsis, Georgios D.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.01.2020
• Subjects: Adult; Brain - diagnostic imaging; Brain - physiology; Connectome - methods; Data Interpretation, Statistical; Default mode network; Default Mode Network - diagnostic imaging; Default Mode Network - physiology; Head Movements; Humans; Magnetic Resonance Imaging - methods; Motion; Outliers; Resting-state fMRI; Time Factors; Weighted Kendall correlation; Weighted Pearson correlation; Outliers; Resting-state fMRI; Default mode network; Motion; Weighted Pearson correlation; Weighted Kendall correlation

[Display omitted] •Use of ten window functions, fourteen window sizes and two correlation metrics.•In most cases, longer windows yielded a larger number of dynamic connections.•Window sizes from 60 s to 90 s were mildly affected by motion-related effects.•Subject motion considerably affects the iden...