Spectral characteristics of resting state networks
Abstract
Resting state networks (RSNs), as imaged by functional MRI, are distributed maps of areas believed to be involved in the function of the "resting" brain, which appear in both resting and task data. The current dominant view is that such networks are associated with slow (∼0.015Hz), spontaneous fluctuations in the BOLD signal. To date, limited work has investigated the frequency characteristics of RSNs; here we investigate a range of issues relating to their spectral and phase characteristics. Our results indicate that RSNs, although dominated by low frequencies in the raw BOLD signal, are in fact broadband processes that show temporal coherences across a wide frequency spectrum. In addition, we show that RSNs exhibit different levels of phase synchrony at different frequencies. These findings challenge the notion that FMRI resting signals are simple "low frequency" spontaneous signal fluctuations.
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There is increasing evidence that there is useful signal at relatively high frequencies in resting-state data.
“there is increasing evidence that there is useful signal at relatively high frequencies [47].”
From Functional connectomics from resting-state fMRI (2013) · cites this paper as [47]
Recent evidence indicates that resting-state network signals occur up to at least 0.2Hz in good quality data.
“Recent evidence [47] indicates that resting-state network signals occur up to at least 0.2Hz in good quality data;”
From Functional connectomics from resting-state fMRI (2013) · cites this paper as [47]
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“A slightly higher upper frequency cut off of 0.15 Hzwas chosen instead of typical 0.08 or 0.1 Hz for the bandpassfiltering as some recent studies have demonstrated the broadband nature of neuronal signals underlying BOLD time courses (Niazy et al., 2011).”
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- Authors
- Niazy, R. K., Xie, J., Miller, K., Beckmann, C. F., & Smith, S. M.
- Affiliations
- King Faisal Specialist Hospital & Research Centre (SA)
- University of Oxford (GB)
- Corresponding author
- Smith, Stephen M.
- Venue
- Progress in brain research
- Publisher
- Elsevier
- Published
- 2011
- Volume
- 193
- Pages
- 259-276
- ISSN
- 0079-6123 (ISSN-L)
- OpenAlex
- W152769478
- Cited by
- 175
- References
- 33
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 3 · 2023: 4 · 2022: 9 · 2021: 12 · 2020: 12 · 2019: 6 · 2018: 11 · 2017: 11 · 2016: 20 · 2015: 19 · 2014: 25 · 2013: 27 · 2012: 6
- FWCI
- 40.45
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Progress in brain research (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Engineering and Physical Sciences Research Council
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- resting-state networks, functional MRI, BOLD signal, spectral properties, phase synchronization, temporal coherence, spontaneous fluctuations, broadband oscillation, frequency spectrum
- MeSH terms
- Adult, Algorithms, Brain, Brain Mapping, Humans, Magnetic Resonance Imaging, Models, Neurological, Nerve Net, Young Adult
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