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