Literature DB >> 35477906

Human Spindle Variability.

Christopher Gonzalez1,2, Xi Jiang3,4, Jorge Gonzalez-Martinez5,6, Eric Halgren7,8.   

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.SIGNIFICANCE STATEMENT Sleep spindles are 10- to 16-Hz neural oscillations generated by cortico-thalamic circuits that promote memory consolidation. Spindles are often dichotomized into slow-anterior and fast-posterior categories for cognitive and clinical studies. Here, we show that the anterior-posterior difference in spindle frequency is comparable to that observed between different cycles of individual spindles, between spindles from a given site, or from different sites within a region. Further, we show that spindles vary on other dimensions such as duration, amplitude, spread, primacy and consistency, and that these multiple dimensions vary continuously and largely independently across cortical regions. These findings suggest that multiple continuous variables rather than a strict frequency dichotomy may be more useful biomarkers for memory consolidation or psychiatric disorders.
Copyright © 2022 the authors.

Entities:  

Keywords:  cortex; hippocampus; intracranial; sleep; slow oscillation; spindle

Mesh:

Year:  2022        PMID: 35477906      PMCID: PMC9172080          DOI: 10.1523/JNEUROSCI.1786-21.2022

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  71 in total

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Authors:  Damien Gervasoni; Shih-Chieh Lin; Sidarta Ribeiro; Ernesto S Soares; Janaina Pantoja; Miguel A L Nicolelis
Journal:  J Neurosci       Date:  2004-12-08       Impact factor: 6.167

Review 2.  The visual scoring of sleep in adults.

Authors:  Michael H Silber; Sonia Ancoli-Israel; Michael H Bonnet; Sudhansu Chokroverty; Madeleine M Grigg-Damberger; Max Hirshkowitz; Sheldon Kapen; Sharon A Keenan; Meir H Kryger; Thomas Penzel; Mark R Pressman; Conrad Iber
Journal:  J Clin Sleep Med       Date:  2007-03-15       Impact factor: 4.062

3.  Assessing EEG sleep spindle propagation. Part 2: experimental characterization.

Authors:  Christian O'Reilly; Tore Nielsen
Journal:  J Neurosci Methods       Date:  2013-08-30       Impact factor: 2.390

4.  Quantifying chirp in sleep spindles.

Authors:  Suzana V Schönwald; Diego Z Carvalho; Guilherme Dellagustin; Emerson L de Santa-Helena; Günther J L Gerhardt
Journal:  J Neurosci Methods       Date:  2011-02-01       Impact factor: 2.390

5.  Topographical frequency dynamics within EEG and MEG sleep spindles.

Authors:  Nima Dehghani; Sydney S Cash; Eric Halgren
Journal:  Clin Neurophysiol       Date:  2010-07-15       Impact factor: 3.708

Review 6.  About sleep's role in memory.

Authors:  Björn Rasch; Jan Born
Journal:  Physiol Rev       Date:  2013-04       Impact factor: 37.312

7.  Differential effects on fast and slow spindle activity, and the sleep slow oscillation in humans with carbamazepine and flunarizine to antagonize voltage-dependent Na+ and Ca2+ channel activity.

Authors:  Amr Ayoub; Dominic Aumann; Anne Hörschelmann; Atossa Kouchekmanesch; Pia Paul; Jan Born; Lisa Marshall
Journal:  Sleep       Date:  2013-06-01       Impact factor: 5.849

8.  The influence of learning on sleep slow oscillations and associated spindles and ripples in humans and rats.

Authors:  Matthias Mölle; Oxana Eschenko; Steffen Gais; Susan J Sara; Jan Born
Journal:  Eur J Neurosci       Date:  2009-02-24       Impact factor: 3.386

9.  The human K-complex represents an isolated cortical down-state.

Authors:  Sydney S Cash; Eric Halgren; Nima Dehghani; Andrea O Rossetti; Thomas Thesen; Chunmao Wang; Orrin Devinsky; Ruben Kuzniecky; Werner Doyle; Joseph R Madsen; Edward Bromfield; Loránd Eross; Péter Halász; George Karmos; Richárd Csercsa; Lucia Wittner; István Ulbert
Journal:  Science       Date:  2009-05-22       Impact factor: 47.728

10.  Rotating waves during human sleep spindles organize global patterns of activity that repeat precisely through the night.

Authors:  Lyle Muller; Giovanni Piantoni; Dominik Koller; Sydney S Cash; Eric Halgren; Terrence J Sejnowski
Journal:  Elife       Date:  2016-11-15       Impact factor: 8.140

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