The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Quasi-periodic patterns (QPP): Large-scale dynamics in resting state fMRI that correlate with local infraslow electrical activity
Open accessAbstract
Functional connectivity measurements from resting state blood-oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) are proving a powerful tool to probe both normal brain function and neuropsychiatric disorders. However, the neural mechanisms that coordinate these large networks are poorly understood, particularly in the context of the growing interest in network dynamics. Recent work in anesthetized rats has shown that the spontaneous BOLD fluctuations are tightly linked to infraslow local field potentials (LFPs) that are seldom recorded but comparable in frequency to the slow BOLD fluctuations. These findings support the hypothesis that long-range coordination involves low frequency neural oscillations and establishes infraslow LFPs as an excellent candidate for probing the neural underpinnings of the BOLD spatiotemporal patterns observed in both rats and humans. To further examine the link between large-scale network dynamics and infraslow LFPs, simultaneous fMRI and microelectrode recording were performed in anesthetized rats. Using an optimized filter to isolate shared components of the signals, we found that time-lagged correlation between infraslow LFPs and BOLD is comparable in spatial extent and timing to a quasi-periodic pattern (QPP) found from BOLD alone, suggesting that fMRI-measured QPPs and the infraslow LFPs share a common mechanism. As fMRI allows spatial resolution and whole brain coverage not available with electroencephalography, QPPs can be used to better understand the role of infraslow oscillations in normal brain function and neurological or psychiatric disorders.
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Cites
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Cited by
Questions and controversies in the study of time-varying functional connectivity in resting fMRI
Lurie, D. J., Kessler, D., Bassett, D. S., Betzel, R. F., Breakspear, M., Kheilholz, S., Kucyi, A., Liégeois, R., Lindquist, M. A., McIntosh, A. R., et al. (2020) · Network Neuroscience · doi:10.1162/netn_a_00116 · Cited by 648
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Self-citationQuasi-periodic patterns contribute to functional connectivity in the brain
Abbas, A., Belloy, M., Kashyap, A., Billings, J., Nezafati, M., Schumacher, E. H., & Keilholz, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.076 · Cited by 81
Self-citationCognitive and Physiologic Impacts of the Infraslow Oscillation
Watson, B. O. (2018) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2018.00044 · Cited by 74
Infraslow Electroencephalographic and Dynamic Resting State Network Activity
Grooms, J. K., Thompson, G. J., Pan, W.-J., Billings, J., Schumacher, E. H., Epstein, C. M., & Keilholz, S. D. (2017) · Brain Connectivity · doi:10.1089/brain.2017.0492 · Cited by 74
Self-citationLeong, S. L., Vanneste, S., Lim, J., Smith, M., Manning, P., & De Ridder, D. (2018) · Scientific Reports · doi:10.1038/s41598-018-30181-7 · Cited by 46
Metadata
- Authors
- Thompson, G. J., Pan, W.-J., Magnuson, M. E., Jaeger, D., & Keilholz, S. D.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 84
- Pages
- 1018-1031
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2075583786
- Cited by
- 158
- References
- 20
- FWCI
- 3.87
- Type
- journal article
- Language
- en
- Open access
- green
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