Periodicity of a noninvasive measure of cardiac vagal tone during non-rapid eye movement sleep in non-sleep-deprived and sleep-deprived normal subjects

Citation
Rs. Delamont et al., Periodicity of a noninvasive measure of cardiac vagal tone during non-rapid eye movement sleep in non-sleep-deprived and sleep-deprived normal subjects, J CL NEURPH, 16(2), 1999, pp. 146-153
Citations number
50
Categorie Soggetti
Neurology
Journal title
JOURNAL OF CLINICAL NEUROPHYSIOLOGY
ISSN journal
07360258 → ACNP
Volume
16
Issue
2
Year of publication
1999
Pages
146 - 153
Database
ISI
SICI code
0736-0258(199903)16:2<146:POANMO>2.0.ZU;2-W
Abstract
Cyclic alternating pattern (CAP) of microarousals reported in EEG studies i s now regarded as an integrating mechanism for the different parts of the c entral nervous system including the autonomic system. A recently developed continuous index of cardiac parasympathetic activity (CIPA) can be time loc ked to the EEG allowing the relationship between EEG and autonomic changes to be studied in sleep. Eleven normal subjects were studied for evidence of periodicity in CIPA in non-REM sleep, five of whom had been sleep deprived . Fast Fourier's transformation of the CIPA data confirmed its periodicity with four frequency peaks in the range of 0.015 to 0.3 Hz. The frequency pe aks previously reported as caused by respiration, Mayer waves and vasomotor thermoregulatory activity, were within what we called the alpha and beta r hythms of CIPA. There was an additional very slow peak not previously descr ibed and we called it the gamma rhythm. It covered the frequency range belo w 0.03 Hz. The gamma rhythm was the largest of all peaks in CIPA rhythms an d its magnitude increased further in sleep-deprived subjects, but it invari ably decreased dining stage 4 sleep in both groups. Bursts of alpha waves i n the EEG recorded concomitantly with CIPA in stage I sleep were associated with both peaks and troughs of the gamma rhythm. These results support pre vious proposals that cyclic alternating pattern in the EEG may be an integr ating mechanism associated with functions of the central nervous system, an d we have shown here its relationship with CIPA. Because cyclic alternating pattern can also he-measured in CIPA, clinical exploitation of this phenom enon could include monitoring of epilepsy, studies of the effects of drug t herapy, and assessment of other sleep disorders. All these are known to aff ect cyclic patterns of sleep EEG.