Topographical EEG changes and the hypnagogic experience.

Hori, Tadao; Hayashi, Mitsuo; Morikawa, Toshio

doi:10.1037/10166-014

Cited by 121 publications

(161 citation statements)

References 10 publications

(9 reference statements)

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“…While the more precise EEG criterion of stage 2 sleep is often used to define sleep onset, it is apparent there is actually a sleep onset period beginning while awake and extending to at least stage 2 (Ogilvie, 2001). Some have tried to expand the staging of this sleep onset period by including up to 9 substages (2 awake, 6 stage 1, 1 stage 2 (Hori et al, 1994)). However the temporal pattern of EEG changes is not uniform across all subjects (Santamaria and Chiappa, 1987b) so this classification based on many patterns is often difficult to implement accurately.…”

Section: Conditions Associated With Changes In Alertness and Sustainementioning

confidence: 99%

“…Subjects are often still able to respond and may, in fact, not report being asleep when awakened from stage 1 or even stage 2 sleep (Ogilvie and Wilkinson, 1984). In one study, 25% of subjects awakened from clear stage 2 sleep reported they had been awake (Hori, 1994) while another study reported the threshold of subjective sleep (50% reporting being asleep) was 2-4 min after stage 2 onset (Bonnet and Moore, 1982). Also, self-reports of sleep may be altered in clinical situations: insomniacs were more likely to report themselves as awake when actually awoken from stage 2 sleep than controls (Moore et al, 1981).…”

Section: Subjective Measuresmentioning

confidence: 99%

“…Also, self-reports of sleep may be altered in clinical situations: insomniacs were more likely to report themselves as awake when actually awoken from stage 2 sleep than controls (Moore et al, 1981). In terms of subjective experiences, arousals during this sleep onset period can produce self-reports of sensory experiences that would appear to represent dreaming (Foulkes and Vogel, 1965;Hori, 1994).…”

Section: Subjective Measuresmentioning

confidence: 99%

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Vigilance, alertness, or sustained attention: physiological basis and measurement

Oken

Salinsky

Elsas

2006

Clinical Neurophysiology

658

463

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Vigilance is a term with varied definitions but the most common usage is sustained attention or tonic alertness. This usage of vigilance implies both the degree of arousal on the sleep-wake axis and the level of cognitive performance. There are many interacting neural and neurotransmitter systems that affect vigilance. Most studies of vigilance have relied on states where the sleep-wake state is altered, e.g. drowsiness, sleep-deprivation, and CNS-active drugs, but there are factors ranging from psychophysics to motivation that may impact vigilance. While EEG is the most commonly studied physiologic measure of vigilance, various measures of eye movement and of autonomic nervous system activity have also been used. This review paper discusses the underlying neural basis of vigilance and its assessment using physiologic tools. Since, assessment of vigilance requires assessment of cognitive function this aspect is also discussed.

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Section: Conditions Associated With Changes In Alertness and Sustainementioning

confidence: 99%

Section: Subjective Measuresmentioning

confidence: 99%

Section: Subjective Measuresmentioning

confidence: 99%

See 1 more Smart Citation

Vigilance, alertness, or sustained attention: physiological basis and measurement

Oken

Salinsky

Elsas

2006

Clinical Neurophysiology

658

463

View full text Add to dashboard Cite

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“…1,2 The SOP is neurophysiologically complex. 3 When the topographical behavior of EEG in SOP is of interest, however, the standard sleep stage criteria 4 are somewhat vague, especially for stage 1. Therefore, the present authors have used nine EEG stage criteria 3,5 developed for the analysis of the SOP.…”

Section: Introductionmentioning

confidence: 99%

“…3 When the topographical behavior of EEG in SOP is of interest, however, the standard sleep stage criteria 4 are somewhat vague, especially for stage 1. Therefore, the present authors have used nine EEG stage criteria 3,5 developed for the analysis of the SOP. Recently, we examined the topographical characteristics of nine EEG stages during the hypnagogic state.…”

Section: Introductionmentioning

confidence: 99%

Topographic mapping of EEG spectral power and coherence in delta activity during the transition from wakefulness to sleep

Tanaka

Hayashi

Hori

1999

Psychiatry Clin Neurosci

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The present study examined the topographic characteristics in delta band activity during the transition from wakefulness to sleep, using topographic mapping of electroencephalogram (EEG) power and coherence corresponding to nine EEG stages. The dominant topographic components of delta band activity increased clearly from the vertex sharp-wave stage EEG stage 6) in the anterior-central area. Principal component maps revealed the scalp distribution of EEG. Delta activity in the sleep onset period were composed of two covariant components. One is a diffuse component widely distributed on the scalp and the other is a local component at the temporo-occipital area.

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Losing the struggle to stay awake: Divergent thalamic and cortical activity during microsleeps

et al. 2012

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Maintaining alertness is critical for safe and successful performance of most human activities. Consequently, microsleeps during continuous visuomotor tasks, such as driving, can be very serious, not only disrupting performance but sometimes leading to injury or death due to accidents. We have investigated the neural activity underlying behavioral microsleeps--brief (0.5-15 s) episodes of complete failure to respond accompanied by slow eye-closures--and EEG theta activity during drowsiness in a continuous task. Twenty healthy normally-rested participants performed a 50-min continuous tracking task while fMRI, EEG, eye-video, and responses were simultaneously recorded. Visual rating of performance and eye-video revealed that 70% of the participants had frequent microsleeps. fMRI analysis revealed a transient decrease in thalamic, posterior cingulate, and occipital cortex activity and an increase in frontal, posterior parietal, and parahippocampal activity during microsleeps. The transient activity was modulated by the duration of the microsleep. In subjects with frequent microsleeps, power in the post-central EEG theta was positively correlated with the BOLD signal in the thalamus, basal forebrain, and visual, posterior parietal, and prefrontal cortices. These results provide evidence for distinct neural changes associated with microsleeps and with EEG theta activity during drowsiness in a continuous task. They also suggest that the occurrence of microsleeps during an active task is not a global deactivation process but involves localized activation of fronto-parietal cortex, which, despite a transient loss of arousal, may constitute a mechanism by which these regions try to restore responsiveness.

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Topographical EEG changes and the hypnagogic experience.

Cited by 121 publications

References 10 publications

Vigilance, alertness, or sustained attention: physiological basis and measurement

Vigilance, alertness, or sustained attention: physiological basis and measurement

Topographic mapping of EEG spectral power and coherence in delta activity during the transition from wakefulness to sleep

Losing the struggle to stay awake: Divergent thalamic and cortical activity during microsleeps

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