Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/17893
Title: On the relationship between instantaneous phase synchrony and correlation-based sliding windows for time-resolved fMRI connectivity analysis.
Authors: Pedersen, Mangor;Omidvarnia, Amir;Zalesky, Andrew;Jackson, Graeme D
Affiliation: The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne, VIC, Australia
Melbourne School of Engineering, The University of Melbourne, VIC, Australia
Department of Neurology, Austin Health, Heidelberg, Victoria, Australia
Issue Date: 8-Jun-2018
EDate: 2018-06-08
Citation: NeuroImage 2018; online first: 8 June
Abstract: Correlation-based sliding window analysis (CSWA) is the most commonly used method to estimate time-resolved functional MRI (fMRI) connectivity. However, instantaneous phase synchrony analysis (IPSA) is gaining popularity mainly because it offers single time-point resolution of time-resolved fMRI connectivity. We aim to provide a systematic comparison between these two approaches, on both temporal and topological levels. For this purpose, we used resting-state fMRI data from two separate cohorts with different temporal resolutions (45 healthy subjects from Human Connectome Project fMRI data with repetition time of 0.72 s and 25 healthy subjects from a separate validation fMRI dataset with a repetition time of 3 s). For time-resolved functional connectivity analysis, we calculated tapered CSWA over a wide range of different window lengths that were temporally and topologically compared to IPSA. We found a strong association in connectivity dynamics between IPSA and CSWA when considering the absolute values of CSWA. The association between CSWA and IPSA was stronger for a window length of ∼20 s (shorter than filtered fMRI wavelength) than ∼100 s (longer than filtered fMRI wavelength), irrespective of the sampling rate of the underlying fMRI data. Narrow-band filtering of fMRI data (0.03-0.07 Hz) yielded a stronger relationship between IPSA and CSWA than wider-band (0.01-0.1 Hz). On a topological level, time-averaged IPSA and CSWA nodes were non-linearly correlated for both short (∼20 s) and long (∼100 s) windows, mainly because nodes with strong negative correlations (CSWA) displayed high phase synchrony (IPSA). IPSA and CSWA were anatomically similar in the default mode network, sensory cortex, insula and cerebellum. Our results suggest that IPSA and CSWA provide comparable characterizations of time-resolved fMRI connectivity for appropriately chosen window lengths. Although IPSA requires narrow-band fMRI filtering, we recommend the use of IPSA given that it does not mandate a (semi-)arbitrary choice of window length and window overlap. A code for calculating IPSA is provided.
URI: http://ahro.austin.org.au/austinjspui/handle/1/17893
DOI: 10.1016/j.neuroimage.2018.06.020
PubMed URL: 29890326
Type: Journal Article
Subjects: Instantaneous phase synchrony
Sliding-windows
Time-resolved functional connectivity
fMRI
Appears in Collections:Journal articles

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