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Updated: Feb 9, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
Published on: July 1, 2014
On the relationship between instantaneous phase synchrony and correlation-based sliding windows for time-resolved
Mangor Pedersen1, Amir Omidvarnia1, Andrew Zalesky2
1The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.
Instantaneous phase synchrony analysis (IPSA) and correlation-based sliding window analysis (CSWA) offer comparable time-resolved functional MRI connectivity insights. IPSA is effective with narrow-band filtering and avoids arbitrary window selection, unlike CSWA.
Area of Science:
- Neuroimaging
- Computational Neuroscience
- Data Analysis
Background:
- Time-resolved functional MRI (fMRI) connectivity analysis is crucial for understanding dynamic brain function.
- Correlation-based sliding window analysis (CSWA) is a common but potentially limited method for this analysis.
- Instantaneous phase synchrony analysis (IPSA) offers single time-point resolution, gaining popularity for time-resolved fMRI connectivity.
Purpose of the Study:
- To systematically compare CSWA and IPSA on temporal, topological, and anatomical levels.
- To evaluate the influence of window length and filtering on the association between CSWA and IPSA.
- To determine the comparability of these methods for characterizing time-resolved fMRI connectivity.
Main Methods:
- Utilized resting-state fMRI data from two cohorts with differing temporal resolutions (TR=0.72s and 3s).
- Calculated tapered CSWA across various window lengths and compared results with IPSA.
- Analyzed connectivity dynamics, topological properties, and anatomical similarities across methods.
Main Results:
- A strong association was found between IPSA and CSWA absolute values, particularly with shorter CSWA window lengths (~20s).
- Narrow-band fMRI filtering (0.03-0.07 Hz) enhanced the relationship between IPSA and CSWA.
- IPSA and CSWA showed anatomical similarities in key brain networks like the default mode network and sensory cortex.
Conclusions:
- IPSA and CSWA provide comparable characterizations of time-resolved fMRI connectivity when window lengths are appropriately chosen.
- IPSA offers advantages by avoiding semi-arbitrary window length and overlap selections, though it requires narrow-band filtering.
- The study provides insights into selecting appropriate methods and parameters for time-resolved fMRI connectivity analysis.
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