AI Article Synopsis
- Intrinsically driven neural activity at rest shows complex patterns of synchronization across various brain regions, with notable fluctuations and nonstationarity at different time scales.
- Resting-state EEG recordings from 12 young adults revealed continuous rapid transitions between stable states, indicating dynamic brain activity even when not engaged in specific tasks.
- The analysis found that most states could be grouped into three main families, suggesting a limited set of core states that are frequently revisited and shared among participants, highlighting the brain’s intricate synchronization patterns.
Article Abstract
Intrinsically driven neural activity generated at rest exhibits complex spatiotemporal dynamics characterized by patterns of synchronization across distant brain regions. Mounting evidence suggests that these patterns exhibit fluctuations and nonstationarity at multiple time scales. Resting-state electroencephalographic (EEG) recordings were examined in 12 young adults for changes in synchronization patterns on a fast time scale in the range of tens to hundreds of milliseconds. Results revealed that EEG dynamics continuously underwent rapid transitions between intermittently stable states. Numerous approximate recurrences of states were observed within single recording epochs, across different epochs separated by longer times, and between participants. For broadband (4-30 Hz) data, a majority of states could be grouped into three families, suggesting the existence of a limited repertoire of core states that is continually revisited and shared across participants. Our results document the existence of fast synchronization dynamics iterating amongst a small set of core networks in the resting brain, complementing earlier findings of nonstationary dynamics in electromagnetic recordings and transient EEG microstates.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3460532 | PMC |
| http://dx.doi.org/10.3389/fncom.2012.00074 | DOI Listing |
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