Open AccessFrequency Analysis of Heart Rate Variability: A Useful Assessment Tool of Linearly Polarized Near‐Infrared Irradiation to Stellate Ganglion Area for Burning Mouth Syndrome
Author(s) -
Momota Yukihiro,
Takano Hideyuki,
Kani Koichi,
Matsumoto Fumihiro,
Motegi Katsumi,
Aota Keiko,
Yamamura Yoshiko,
Omori Mayuko,
Tomioka Shigemasa,
Azuma Masayuki
Publication year - 2013
Publication title -
pain medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.893
H-Index - 97
eISSN - 1526-4637
pISSN - 1526-2375
DOI - 10.1111/pme.12008
Subject(s) - burning mouth syndrome , abnormality , heart rate variability , medicine , stellate ganglion , tongue , autonomic nervous system , autonomic ganglion , ganglion , anesthesia , heart rate , cardiology , pathology , anatomy , psychiatry , blood pressure , alternative medicine
Background. Burning mouth syndrome ( BMS ) is characterized by the following subjective complaints without distinct organic changes: burning sensation in mouth or chronic pain of tongue. BMS is also known as glossodynia; both terms are used equivalently in J apan. Although the real cause of BMS is still unknown, it has been pointed out that BMS is related to some autonomic abnormality, and that stellate ganglion near‐infrared irradiation ( SGR ) corrects the autonomic abnormality. Frequency analysis of heart rate variability ( HRV ) is expected to be useful for assessing autonomic abnormality. Objectives. This study investigated whether frequency analysis of HRV could reveal autonomic abnormality associated with BMS , and whether autonomic changes were corrected after SGR . Subjects and Methods. Eight subjects received SGR ; the response to SGR was assessed by frequency analysis of HRV . Results. No significant difference of autonomic activity concerning low‐frequency ( LF ) norm, high‐frequency ( HF ) norm, and low‐frequency/high‐frequency ( LF / HF ) was found between SGR effective and ineffective groups. Therefore, we proposed new parameters: differential normalized low frequency ( D LF norm), differential normalized high frequency ( D HF norm), and differential low‐frequency/high‐frequency ( D LF / HF ), which were defined as differentials between original parameters just before and after SGR . These parameters as indexes of responsiveness of autonomic nervous system ( ANS ) revealed autonomic changes in BMS , and BMS seems to be related to autonomic instability rather than autonomic imbalance. Conclusions. Frequency analysis of HRV revealed the autonomic instability associated with BMS and enabled tracing of autonomic changes corrected with SGR . It is suggested that frequency analysis of HRV is very useful in follow up of BMS and for determination of the therapeutic efficacy of SGR .