Effect of respiration on heartbeat-evoked potentials during sleep in children with sleep-disordered breathing

Baumert, Mathias; Pamula, Yvonne; Köhler, Manfred; Martin, James; Kennedy, Declan; Nalivaiko, Eugene; Immanuel, Sarah A.

doi:10.1016/j.sleep.2015.02.528

Cited by 15 publications

(6 citation statements)

References 12 publications

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“…The HEP is an EEG potential that reflects the cortical processing of afferent cardiac signals, and is quantified by averaging the scalp EEG potentials time-locked to the R-peak of the individual heartbeats [ 28 ]. The amplitude of the HEP is positively correlated with the ability to perceive one’s own heartbeats [ 27 , 30 , 31 ]; however, it is also observed during rest, when individuals are not instructed to focus on their heartbeats [ 32 , 33 ], or in sleep [ 34 , 35 ], in particular, during the REM stage [ 36 , 37 ]. On the other hand, the amplitude of the HEP is slightly modified in conditions of increased arousal and vigilance in a state-and trait-like manner.…”

Section: Introductionmentioning

confidence: 99%

Cortical monitoring of cardiac activity during rapid eye movement sleep: the heartbeat evoked potential in phasic and tonic rapid-eye-movement microstates

Simor

Bogdány

Bódizs

et al. 2021

Sleep

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Sleep is a fundamental physiological state that facilitates neural recovery during periods of attenuated sensory processing. On the other hand, mammalian sleep is also characterized by the interplay between periods of increased sleep depth and environmental alertness. Whereas the heterogeneity of microstates during non-rapid-eye-movement (NREM) sleep was extensively studied in the last decades, transient microstates during REM sleep received less attention. REM sleep features two distinct microstates: phasic and tonic. Previous studies indicate that sensory processing is largely diminished during phasic REM periods, whereas environmental alertness is partially reinstated when the brain switches into tonic REM sleep. Here, we investigated interoceptive processing as quantified by the heartbeat evoked potential (HEP) during REM microstates. We contrasted the HEPs of phasic and tonic REM periods using two separate databases that included the nighttime polysomnographic recordings of healthy young individuals (N = 20 and N = 19). We find a differential HEP modulation of a late HEP component (after 500 ms post-R-peak) between tonic and phasic REM. Moreover, the late tonic HEP component resembled the HEP found in resting wakefulness. Our results indicate that interoception with respect to cardiac signals is not uniform across REM microstates, and suggest that interoceptive processing is partially reinstated during tonic REM periods. The analyses of the HEP during REM sleep may shed new light on the organization and putative function of REM microstates.

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Section: Introductionmentioning

confidence: 99%

Cortical monitoring of cardiac activity during rapid eye movement sleep: the heartbeat evoked potential in phasic and tonic rapid-eye-movement microstates

Simor

Bogdány

Bódizs

et al. 2021

Sleep

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“… 74 However, it is unclear whether these findings reflect an overall change in HEP activity or a change limited to a particular respiratory phase. An interesting exception is the study by Baumert and colleagues, 75 who reported a decrease in HEP amplitude during exhalation compared to inhalation in children with sleep-disordered breathing. Notably, after therapy (adenotonsillectomy), they observed an increase in HEP amplitude during exhalation and no changes during inhalation.…”

Section: Discussionmentioning

confidence: 99%

Attention to cardiac sensations enhances the heartbeat-evoked potential during exhalation

Zaccaro,

della Penna,

Mussini

et al. 2024

iScience

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“…Eliran Dafna et al classified sleep stages using microphone sensors to detect breathing sounds and to classify if a patient were awake or asleep, but sound data themselves were not enough to determine non-rapid eye movement (NREM) and rapid eye movement (REM) sleep. In a previous study, [ 11 ] used a single Doppler radar sensor to determine sleep stage by extracting sleep-related vital signals including breathing rate, heart rate and body motions [ 12 , 13 , 14 , 33 ]. However, the experiments were held in an environment in which the reference devices and their manuals were not certified by professional doctors or sleep technologists.…”

Section: Discussion and Limitationmentioning

confidence: 99%

Noncontact Sleep Study by Multi-Modal Sensor Fusion

Chung

Song

Shin³

et al. 2017

Sensors

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Polysomnography (PSG) is considered as the gold standard for determining sleep stages, but due to the obtrusiveness of its sensor attachments, sleep stage classification algorithms using noninvasive sensors have been developed throughout the years. However, the previous studies have not yet been proven reliable. In addition, most of the products are designed for healthy customers rather than for patients with sleep disorder. We present a novel approach to classify sleep stages via low cost and noncontact multi-modal sensor fusion, which extracts sleep-related vital signals from radar signals and a sound-based context-awareness technique. This work is uniquely designed based on the PSG data of sleep disorder patients, which were received and certified by professionals at Hanyang University Hospital. The proposed algorithm further incorporates medical/statistical knowledge to determine personal-adjusted thresholds and devise post-processing. The efficiency of the proposed algorithm is highlighted by contrasting sleep stage classification performance between single sensor and sensor-fusion algorithms. To validate the possibility of commercializing this work, the classification results of this algorithm were compared with the commercialized sleep monitoring device, ResMed S+. The proposed algorithm was investigated with random patients following PSG examination, and results show a promising novel approach for determining sleep stages in a low cost and unobtrusive manner.

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Effect of respiration on heartbeat-evoked potentials during sleep in children with sleep-disordered breathing

Cited by 15 publications

References 12 publications

Cortical monitoring of cardiac activity during rapid eye movement sleep: the heartbeat evoked potential in phasic and tonic rapid-eye-movement microstates

Cortical monitoring of cardiac activity during rapid eye movement sleep: the heartbeat evoked potential in phasic and tonic rapid-eye-movement microstates

Attention to cardiac sensations enhances the heartbeat-evoked potential during exhalation

Noncontact Sleep Study by Multi-Modal Sensor Fusion

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