Topographical Analysis of Sleep Spindle Activity

Jobert, Marc; Poiseau, Eric; Jähnig, Peter; Schulz, Hartmut; Kubicki, S

doi:10.1159/000118923

Cited by 141 publications

(78 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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: 76%

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

Merica

Fortune²

2003

Cerebral Cortex

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionsupporting

confidence: 76%

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

Merica

Fortune²

2003

Cerebral Cortex

View full text Add to dashboard Cite

show abstract

“…Here, we confirmed that spindles less than 0.2 sec were not included in the analyses. Spindles were categorized so that they were orthogonal at the scalp locations where they predominate topographically Werth, Achermann, Dijk, & Borbely, 1997;Zeitlhofer et al, 1997;Jobert, Poiseau, Jahnig, Schulz, & Kubicki, 1992) as slow spindles (11-13.5 Hz) at Fz and fast spindles (13.5-16 Hz) at Pz (Table 1).…”

Section: Psg Recording and Analysismentioning

confidence: 99%

Sleep Spindles and Intellectual Ability: Epiphenomenon or Directly Related?

Fang

Sergeeva

Ray

et al. 2017

Journal of Cognitive Neuroscience

View full text Add to dashboard Cite

Abstract■ Sleep spindles-short, phasic, oscillatory bursts of activity that characterize non-rapid eye movement sleep-are one of the only electrophysiological oscillations identified as a biological marker of human intelligence (e.g., cognitive abilities commonly assessed using intelligence quotient tests). However, spindles are also important for sleep maintenance and are modulated by circadian factors. Thus, the possibility remains that the relationship between spindles and intelligence quotient may be an epiphenomenon of a putative relationship between good quality sleep and cognitive ability or perhaps modulated by circadian factors such as morningness-eveningness tendencies. We sought to ascertain whether spindles are directly or indirectly related to cognitive abilities using mediation analysis. Here, we show that fast (13.5-16 Hz) parietal but not slow (11-13.5 Hz) frontal spindles in both non-rapid eye movement stage 2 sleep and slow wave sleep are directly related to reasoning abilities (i.e., cognitive abilities that support "fluid intelligence," such as the capacity to identify complex patterns and relationships and the use of logic to solve novel problems) but not verbal abilities (i.e., cognitive abilities that support "crystalized intelligence"; accumulated knowledge and experience) or cognitive abilities that support STM (i.e., the capacity to briefly maintain information in an available state). The relationship between fast spindles and reasoning abilities is independent of the indicators of sleep maintenance and circadian chronotype, thus suggesting that spindles are indeed a biological marker of cognitive abilities and can serve as a window to further explore the physiological and biological substrates that give rise to human intelligence. ■

show abstract

“…Recordings from leads placed centrally reflect EEG activity summed from both frontal and parietal regions and are considered the most sensitive for recording sleep related activity. [28][29][30][31] Sleep power spectral analysis was performed on all NREM and REM stages. Each 30-sec epoch was visually screened for artifacts (EMG, temporary disconnect spikes, sweating, body movements), and epochs with artifacts were removed from further analysis.…”

Section: Power Spectral Analysesmentioning

confidence: 99%

Polysomnographic Findings in a Cohort of Chronic Insomnia Patients with Benzodiazepine Abuse

Mazza

Losurdo

Testani

et al. 2014

Journal of Clinical Sleep Medicine

View full text Add to dashboard Cite

Regarding the microstructure of sleep, BDZs lead to a reduction of slow frequencies and an increase of fast frequencies in the EEG. [7][8][9][10][11][12] It has been demonstrated that BDZ users have less delta and theta activity than good sleepers.7 When compared to drug-free insomniacs, chronic BDZ users have less delta and theta activity only within the second sleep cycle. 7 The effect of BDZs on sleep microstructure have been tested in a model of situational insomnia, i.e., a condition in which sleep is disrupted by exposing normal subjects to variable levels of noise.3 In this

show abstract

Topographical Analysis of Sleep Spindle Activity

Cited by 141 publications

References 13 publications

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

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

Sleep Spindles and Intellectual Ability: Epiphenomenon or Directly Related?

Polysomnographic Findings in a Cohort of Chronic Insomnia Patients with Benzodiazepine Abuse

Contact Info

Product

Resources

About