Impaired circadian rhythm of gastric myoelectrical activity in patients with multiple system atrophy

Chiba University, Tiba, Chiba, Japan
Clinical Autonomic Research (Impact Factor: 1.49). 01/2006; 15(6):368-72. DOI: 10.1007/s10286-005-0294-3
Source: PubMed


In order to evaluate gastric motility and its circadian rhythm in patients with multiple system atrophy (MSA) and healthy control subjects, we measured gastric myoelectrical activity (GMA) for 24 hours using a cutaneous electrogastrogram (EGG) recorder in 14 MSA patients and 9 age-matched controls. We analyzed six 10-minute segments of EGG before and after each meal and two 20-minute EGG segments during sleep; three parameters were used for the analysis: dominant frequency (DF), instability coefficient of dominant frequency (ICDF), and dominant power (DP). DF increased during daytime and decreased during sleep in the control, while this circadian variation was blunted in the patients with MSA. The average DF of the eight segments in the MSA patients did not differ from that of the control. Both MSA patients and control subjects did not show the circadian variation of ICDF and DP. The average ICDF of the eight segments in the patients with MSA was significantly decreased when compared with that of the control (p < 0.01). No differences were observed in DP between the two groups. This study indicates that the healthy subjects appear to have a circadian rhythm of DF, and the patients with MSA appear to have impaired circadian rhythm of DF and decreased ICDF possibly due to the degeneration of the central autonomic neurons.

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    • "In previous human studies, the recording interval of GMA during different stages of sleep was limited to 20 min because of the duration of each stage of sleep (Elsenbruch et al., 1999; Orr et al., 1997). With the application of continuous power spectral analysis and semi-automatic sleep staging algorithm, compatible results were obtained in our study with less effort and we believe our methodology of prolonged recording would increase the opportunity of revealing changes that are not evident in recordings of limited length (Familoni et al., 1991; Guo et al., 2001; Kellow et al., 1990; Lin et al., 2000; Suzuki et al., 2005). Although the HRV technique is one of the best non-invasive methods to detect cardiac autonomic regulations, it provides only indirect indicators of the autonomic function. "
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