Low-resolution brain electromagnetic tomography revealed simultaneously active frontal and parietal sleep spindle sources in the human cortex

Anderer, P.; Klösch, Gerhard; Gruber, Georg; Trenker, E.; Pascual-Marqui, Roberto D.; Zeitlhofer, J.; Barbanoj, Manel J.; Rappelsberger, Peter; Saletu, B.

doi:10.1016/s0306-4522(01)00028-8

Cited by 206 publications

(206 citation statements)

References 52 publications

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“…Although we applied different methods and a real head model (reconstructed using individual MRIs) for MEG source reconstruction to spindle amplitude, several aspects of our findings are consistent with studies using EEG (Anderer et al, 2001;Zeitlhofer et al, 1997;Zygierewicz et al, 1999). Similar to their findings, our results show frontal and parietal lobe activation (precentral and postcentral gyri), although some other regions (superior frontal gyrus and middle frontal gyrus) of activation for maximal source amplitude spindle activity were observed.…”

Section: Discussionsupporting

confidence: 90%

“…The present study used wholehead MEG to examine the cortical regions involved in maxima of spindle amplitude activity in healthy, normal sleeping individual subjects during a morning nap. Despite the fact that in the present study spindles were obtained from stage 2 sleep during morning nap, our results show that sleep spindles have multiple cortical sources that are seen in frontal, temporal and parietal brain regions that correspond to the previous EEG and ⁄ or MEG findings (Anderer et al, 2001;Broughton and Hasan, 1995;Gibbs and Gibbs, 1950;Ishii et al, 2003;Lu et al, 1992;Manshanden et al, 2002;Shih et al, 2000;Urakami, 2008;Zeitlhofer et al, 1997;Zygierewicz et al, 1999). In addition, a new approach for spindle localization used in this study, such as averaging spindle amplitude and localizing the source of the maximal activity, showed specific locations for the maximal spindle activity centered at precentral and postcentral gyri.…”

Section: Discussioncontrasting

confidence: 71%

“…Our findings also show that this maximal activity probably reflects a unifying network for both slow and fast spindles within these regions. The complex nature of the spindle activity, especially slowand fast-frequency spindle activity was revealed by topographic EEG studies (Anderer et al, 2001;Zeitlhofer et al, 1997;Zygierewicz et al, 1999;for a review, De Gennaro and Ferrara, 2003). The findings from these studies show that the neuronal network underlying these two types of spindles is topographically distinct.…”

Section: Discussionmentioning

confidence: 99%

“…Multiple widespread generators for sleep spindles were suggested by human studies using whole-head EEG (Anderer et al, 2001;Zeitlhofer et al, 1997;Zygierewicz et al, 1999) and magnetoencephalography (MEG) (Ishii et al, 2003;Lu et al, 1992;Manshanden et al, 2002;Shih et al, 2000;Urakami, 2008). In humans, attempts to localize spindle activation were performed and studies have found common brain regions that are active during the occurrence of sleep spindles (Brazier, 1968;Montplaisir et al, 1981) and that the amplitude of sleep spindles is the highest in the frontal-central regions (Caderas et al, 1982).…”

Section: Introductionmentioning

confidence: 99%

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Cortical locations of maximal spindle activity: magnetoencephalography (MEG) study

Gumenyuk

Roth

Moran

et al. 2009

Journal of Sleep Research

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SUMMAR Y The aim of this study was to determine the main cortical regions related to maximal spindle activity of sleep stage 2 in healthy individual subjects during a brief morning nap using magnetoencephalography (MEG). Eight volunteers (mean age: 26.1 ± 8.7, six women) all right handed, free of any medical psychiatric or sleep disorders were studied. Whole-head 148-channel MEG and a conventional polysomnography montage (EEG; C3, C4, O1 and O2 scalp electrodes and EOG, EMG and ECG electrodes) were used for data collection. Sleep MEG ⁄ EEG spindles were visually identified during 15 min of stage 2 sleep for each participant. The distribution of brain activity corresponding to each spindle was calculated using a combination of independent component analysis and a current source density technique superimposed upon individual MRIs. The absolute maximum of spindle activation was localized to frontal, temporal and parietal lobes. However, the most common cortical regions for maximal source spindle activity were precentral and ⁄ or postcentral areas across all individuals. The present study suggests that maximal spindle activity localized to these two regions may represent a single event for two types of spindle frequency: slow (at 12 Hz) and fast (at 14 Hz) within global thalamocortical coherence.k e y w o r d s magnetoencephalography, MR-FOCUSS, sleep spindle, source localization

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Section: Discussionsupporting

confidence: 90%

Section: Discussioncontrasting

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cortical locations of maximal spindle activity: magnetoencephalography (MEG) study

Gumenyuk

Roth

Moran

et al. 2009

Journal of Sleep Research

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“…In addition to our main results, our data show that the average power level of the SPTCs differ between topographical sites, being highest in the frontal and lowest in the posterior regions. A lthough not a primar y concern here, this is in line with a number of studies that have focused on the issue of regional differences in average spectral power (Jobert et al, 1992;Kattler et al, 1994;Werth et al, 1996;Cajochen et al, 1999;Vyazovskiy et al, 2000;Achermann et al, 2001;Anderer et al, 2001;Finelli et al, 2001;Ferrara et al, 2002b;Knoblauch et al, 2002). The question that arises is: what is (are) the brain structure(s) that could give rise to these two distinct types of obser vation, one on similarity of shape and timing of power time-courses and the other on differences in the average power of the time-courses?…”

Section: Discussionsupporting

confidence: 78%

A Unique Pattern of Sleep Structure is Found to be Identical at all Cortical Sites: a Neurobiological Interpretation

Merica

Fortune²

2003

Cerebral Cortex

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There is substantial evidence both at the cellular and at the electroencephalogram (EEG) level to support the view that the brainstem activating systems control the sleep-state (stage) progression over time that constitutes the overall sleep structure as seen at the EEG. We argue here that the brainstem therefore modulates the time-courses of spectral power in the different EEG frequency bands. These show during non-rapid eye movement (NREM) sleep a very particular interrelationship the origin of which has received little attention and for which the neuronal transition probability model for sleep structure has proposed a physiological explanation. We advance the hypothesis that if the brainstem is modulating these time-courses then they should show a marked similarity in shape and timing at all sites. Using data from 10 healthy subjects, we measure the degree of similarity of the time-courses over each of the first four NREM episodes at the frontal, central and parietal sites, for each of the frequency bands beta, sigma and delta, and also the cortically generated slow oscillation. All the crosscorrelation coefficients are high and statistically significant, indicating that the shape and timing of these time-courses are practically identical at different sites despite regional differences in their average power levels. These results tend to suggest that two processes may operate concurrently: the brainstem controls the shape and timing of the power time-courses while cortical-thalamic interaction controls their site-dependent average power.

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Principal component analysis of electroencephalographic activity during sleep and wakefulness in the spider monkey (Ateles geoffroyi)

Cruz‐Aguilar

Hernández‐Arteaga

Hernández‐González

et al. 2020

American J Primatol

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The study of electroencephalographic (EEG) activity during sleep in the spider monkey has provided new insights into primitive arboreal sleep physiology and behavior in anthropoids. Nevertheless, studies conducted to date have maintained the frequency ranges of the EEG bands commonly used with humans. The aim of the present work was to determine the EEG broad bands that characterize sleep and wakefulness in the spider monkey using principal component analysis (PCA). The EEG activity was recorded from the occipital, central, and frontal EEG derivations of six young‐adult male spider monkeys housed in a laboratory setting. To determine which frequencies covaried and which were orthogonally independent during sleep and wakefulness, the power EEG spectra and interhemispheric and intrahemispheric EEG correlations from 1 to 30 Hz were subjected to PCA. Findings show that the EEG bands detection differed from those reported previously in both spider monkeys and humans, and that the 1–3 and 2–13 Hz frequency ranges concur with the oscillatory activity elucidated by cellular recordings of subcortical regions. Results show that applying PCA to the EEG spectrum during sleep and wakefulness in the spider monkey led to the identification of frequencies that covaried with, and were orthogonally independent of, other frequencies in each behavioral vigilance state. The new EEG bands differ from those used previously with both spider monkeys and humans. The 1–3 and 2–13 Hz frequency ranges are in accordance with the oscillatory activity elucidated by cellular recordings of subcortical regions in other mammals.

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Low-resolution brain electromagnetic tomography revealed simultaneously active frontal and parietal sleep spindle sources in the human cortex

Cited by 206 publications

References 52 publications

Cortical locations of maximal spindle activity: magnetoencephalography (MEG) study

Cortical locations of maximal spindle activity: magnetoencephalography (MEG) study

A Unique Pattern of Sleep Structure is Found to be Identical at all Cortical Sites: a Neurobiological Interpretation

Principal component analysis of electroencephalographic activity during sleep and wakefulness in the spider monkey (Ateles geoffroyi)

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