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Human Spindle Variability.

Authors :
Gonzalez, Christopher
Xi Jiang
Gonzalez-Martinez, Jorge
Halgren, Eric
Source :
Journal of Neuroscience. 6/1/2022, Vol. 42 Issue 22, p4517-4537. 21p.
Publication Year :
2022

Abstract

In humans, sleep spindles are 10- to 16-Hz oscillations lasting approximately 0.5–2 s. Spindles, along with cortical slow oscillations, may facilitate memory consolidation by enabling synaptic plasticity. Early recordings of spindles at the scalp found anterior channels had overall slower frequency than central-posterior channels. This robust, topographical finding led to dichotomizing spindles as “slow” versus “fast,” modeled as two distinct spindle generators in frontal versus posterior cortex. Using a large dataset of intracranial stereoelectroencephalographic (sEEG) recordings from 20 patients (13 female, 7 male) and 365 bipolar recordings, we show that the difference in spindle frequency between frontal and parietal channels is comparable to the variability in spindle frequency within the course of individual spindles, across different spindles recorded by a given site, and across sites within a given region. Thus, fast and slow spindles only capture average differences that obscure a much larger underlying overlap in frequency. Furthermore, differences in mean frequency are only one of several ways that spindles differ. For example, compared with parietal, frontal spindles are smaller, tend to occur after parietal when both are engaged, and show a larger decrease in frequency within-spindles. However, frontal and parietal spindles are similar in being longer, less variable, and more widespread than occipital, temporal, and Rolandic spindles. These characteristics are accentuated in spindles which are highly phase-locked to posterior hippocampal spindles. We propose that rather than a strict parietal-fast/frontal-slow dichotomy, spindles differ continuously and quasi-independently in multiple dimensions, with variability due about equally to within-spindle, within-region, and between-region factors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02706474
Volume :
42
Issue :
22
Database :
Academic Search Index
Journal :
Journal of Neuroscience
Publication Type :
Academic Journal
Accession number :
157290140
Full Text :
https://doi.org/10.1523/JNEUROSCI.1786-21.2022