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Spectral Analyses of Heart Rate Variability by Acceleration Plethysmography for Diagnostic Support of Migraine: Clinical Research | OMICS International
ISSN: 2329-6895
Journal of Neurological Disorders
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Spectral Analyses of Heart Rate Variability by Acceleration Plethysmography for Diagnostic Support of Migraine: Clinical Research

Shigeki Edahiro1,2,7, Takahiro Maruta3,4, Masako Negami5,8, Yumi Adachi4,6 and Hiroaki Yoshikawa1,4,7*
1Division of Life Sciences, Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Ishikawa, Japan
2Department of Pharmacology, Kanazawa Red Cross Hospital, Kanazawa, Ishikawa, Japan
3Neurological Center, Kanazawa-Nishi Hospital, Kanazawa, Ishikawa, Japan
4Health Service Center, Kanazawa University, Kanazawa, Ishikawa, Japan
5Health Service Center, Keiju Medical Center, Nanao, Ishikawa, Japan
6Division of School Education, Graduate School of Education, Kanazawa University, Kanazawa, Ishikawa, Japan
7Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Science
8Department of Clinical Health Science, Tokai University School of Medicine, Japan
Corresponding Author : Hiroaki Yoshikawa
Division of Life Sciences
Graduate School of Natural Science
and Technology and Department of Neurology
and Neurobiology of Aging
Kanazawa University, Kanazawa
Ishikawa, Japan
Tel: 81 76 234 6806
E-mail: [email protected]
Received April 22, 2015; Accepted April 28, 2015; Published April 29, 2015
Citation: Edahiro S, Maruta T, Negami M, Adachi Y, Yoshikawa H (2015) Spectral Analyses of Heart Rate Variability by Acceleration Plethysmography for Diagnostic Support of Migraine: Clinical Research. J Neurol Disord 3:229. doi: 10.4172/2329-6895.1000229
Copyright: ©2015 Edahiro S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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It is suspected that the pathophysiology of migraine has a relation to the autonomic dysfunction. We studied to assess the autonomic function in migraine using the spectral analysis of heart rate variability (HRV) by accelerated plethysmography (APG). Five-hundred-twenty-four patients received the health check-ups in an affiliated hospital since September, 2011 to April, 2013. Eighty-three patients with headache and 38 controls were enrolled in this study. The patients were subdivided into 19 with migraine (19 female), 26 with tension-type headache (TTH) (7 male, 19 female) and 31 of other headaches using a questionnaire based on the International Classification of Headache Disorders 2nd Edition. Patients with migraine or tension-type headache underwent examinations using APG with an orthostatic load. Twenty-four controls without headache received same examinations. As a result, the standing/sitting ratio of spectral power of high-frequency (HF) in the migraine group was higher than those of TTH (p=0.0277) and normal controls (p=0.0104). The cut-off value of 1.058 could separate migraine from TTH with sensitivity of 0.632 and specificity of 0.846. The results suggested that the parasympathetic activity accentuated by orthostatic load in patients with migraine, on the contrarily the parasympathetic activities diminished by orthostatic load in patients with TTH or normal controls. This study showed that spectral analysis of HRV by APG is a supportive tool to distinguish migraine from TTH.

Migraine; Heart rate variability; Accelerated plethysmography; Parasympathetic nerve; Sympathetic nerve
The majority of primary headaches are migraines and tensiontype headaches (TTH). Although knowledge about migraine has been accumulated, there are still unclear issues regarding its pathophysiology. The leading explanation of migraine involves the trigeminovascular theory [1,2], which asserts its relationship with the trigeminal nerve and intracranial vessels.
Generally, in the course of migraine attacks, vasoactive substances trigger the cascades of migraine. Then, the processes of degranulation of mast cells, increased permeability of vessels and vasodilatation are induced, which cause nausea and vomiting in patients. After these processes, afferent transmissions are sensed as headache by patients, and the trigeminal nerves secrete neuropeptide at the nerve terminals.
¨Clinical observations that support these hypotheses are nasal congestion, teary eyes and lacrimation, which are also considered to be signs of a hyper-parasympathetic state [3]. These symptoms suggest that autonomic dysfunctions are taking place in patients with migraine [4,5]. Reports have been published regarding fluctuation of blood pressure or heart rate variability (HRV) in patients with migraine, but no general agreement has yet been obtained [6]. On the other hand, autonomic dysfunction is also suspected in the pathophysiology of TTH [6,7].
Recently, HRV has been utilized in research in many fields [8- 10]. HRV contains substantial information about hemodynamics and is utilized as an index of cardiovascular dynamics and autonomic functions [8,10,11].
In this study, we analyzed the HRV obtained from an accelerated plethysmogram (APG) from patients with migraine or TTH to study the effect of the orthostatic alterations.
Materials and Methods
This study was approved by the ethics committees of Kanazawa University and Keiju Medical Center. Patient consent was obtained using a written consent form. We studied patients who underwent health check-ups at Keiju Medical Center from September 2011 to April 2013 (Figure 1).
We enrolled 524 patients received the health check-ups. If patients had experienced headache, they were asked to complete a questionnaire based on the International Classification of Headache Disorders 2nd Edition (ICHD II). All patients who intended to participate in this study underwent an examination involving spectral analysis of HRV using APG [12]. We excluded patients who had diseases or treatments affecting autonomic functions. For instance, we excluded cases of Basedow’s disease, bronchial asthma and diabetes mellitus (hemoglobin A1c ≥ 6.5%). We also excluded patients who had received medicines for diabetes mellitus, and calcium channel blockers, theophylline, corticosteroid, or alpha- or beta-blockers. Smokers were not included in this study because nicotine stimulates the activity of sympathetic nerves.
Analyses of HRV using APG
We used Artett® (U-Medica, Osaka, Japan) to measure the APG and to analyze HRV. The studies were performed at a stable temperature and under quiet conditions in morning without taking breakfast. Patients sat on chairs and put their arms on a table at a position at the same level as their heart. Patients were asked to keep quiet for 5 minutes, and then asked to put their index finger into the sensor. After collection of data in a sitting position for 2 minutes, data with an orthostatic load were collected for 2 minutes. The method of measurement was the similar to our previous report [8]. The acceleration of pulse wave was calculated by software. For spectral analyses, we utilized the maximam entropy method. We set a low-frequency (LF) range from 0.04 to 0.15 Hz and a high-frequency (HF) range from 0.15 to 0.40 Hz. The densities of the power spectrum were calculated from LF and HF, respectively, and then the power ratio of LF/HF was obtained, which was estimated for the sympathetic activities. As an index of parasympathetic activities, we used the power spectrum of HF data. We also estimated the coefficient of variation of A-A intervals (CVa-a, %) as an index of parasympathetic activities, which corresponded to CVr-r of ECG.
To evaluate patients’ mental and sleep statuses, we obtained data using the General Health Questionnaire-28 (GHQ-28) [13], Epworth Sleepiness Scale (ESS) [14] and Athens Insomnia Scale (AIS) [15]. To evaluate the severities of migraine, we utilized the Japanese version of the Migraine Disability Assessment (MIDAS) [16].
Statistical analysis
To test the statistical significance of the parameters, we used analysis of variance (ANOVA) to test the homogeneity of variance of the samples. In the case of the homogeneity of variance in the samples, we performed Tukey’s HSD analysis. If the samples did not exhibit homogeneity of variance, we performed Kruskal-Wallis analysis of the independent samples. To test the correlation between the MIDAS scores and markers of HRV spectroanalyses, we calculated Pearson correlation coefficients. The level of significance was set at less than 5%. We used SPSS Ver. 19 (IBM Inc., USA) for statistical analyses. The cutoff values of indexes were obtained as the values for migraine and TTH with ROC curves.
Characteristics of patients
In total, informed consents were obtained from 138 cases (headache (+); 83, headache (-); 55) in this study. There were 83 patients with headache having no diseases affecting their autonomic functions. These patients neither were not received regular treatments for their headaches nor received regular medication affecting their autonomic functions. According to the criteria of ICHD II, we obtained the data of 23 patients with migraine and 27 patients with TTH. We also obtained the data of 34 age-matched healthy controls without headache. From these patients, we excluded smokers. One patient from TTH was excluded because of incomplete study. Finally, we used the data from 19 migraine patients (male 0, female 19), 26 with TTH (male 7, female 19) and 24 normal controls (male 11, female 13) (Table 1). The process of patient selection is shown in Figure 1.
In terms of the genders of the patients, female predominance was shown in both migraine and TTH groups. The average age of patients with migraine was 48.1 ± 8.11 years old (mean ± SD) and that of patients with TTH was 49.9 ± 8.54 years old (mean ± SD), with no significant difference between them. There were 3 patients suffering from migraine with aura. There were no differences in age and body mass index (BMI) between the migraine and TTH groups (Table 1). The mean score of MIDAS was 4.32 ± 5.52 (mean ± SD) in patients with migraine.
Spectral power analyses of HRV
We performed spectral power analyses of HRV using the data of APG (Table 2). Although the LF power in a standing position in the migraine group was lower than that in the normal controls (p=0.0237), there was no difference between the LF powers in standing position of the migraine group and TTH group. The HF power ratio of standing/sitting in the migraine group was higher than those in the TTH (p=0.0277) and normal groups (p=0.0104). The cut-off value of 1.058 could separate migraine from TTH cases with sensitivity of 0.632 and specificity of 0.846. Furthermore, the LF/HF power ratio of standing/sitting in the migraine group was lower than those in the TTH (p=0.0072) and those in the normal groups (p=0.0102). The MIDAS score did not significantly correlate with the LF/HF power in a standing-position/sitting-position in the migraine group. In terms of the results of the questionnaire survey, there was no difference among the groups (Table 2).
Studies have investigated the pathophysiological mechanisms of headache, focusing on the autonomic functions [5,17]. These evaluations of autonomic functions utilized data on blood pressure or pulse rate. They also tested these data in the head-up tilt test or Valsalva test. Recently, spectral analyses of HRV were introduced in many areas [10,18,19]. It is supposed that the HF component of HRV reflects parasympathetic activity and the LF component represents sympathetic and parasympathetic activities [20]. In many studies, the LF/HF power ratio has been utilized as an index of sympathovagal balance [8,20]. Autonomic activities are usually influenced by the body’s position. In a supine or sitting position, parasympathetic activity is dominant. In contrast, sympathetic activity surpasses parasympathetic activity upon being subjected to an orthostatic load.
We studied whether there were any differences in spectral power of HRV in patients with migraine, TTH, and normal control. We focused on the phenomenon that orthostatic load increased sympathetic activities [19], and attempted to evaluate dynamic autonomic responses in patients. We showed that the HF ratio of standing/sitting position in migraine patients were significantly larger than those of TTH or normal control. It suggested that the parasympathetic activity of patients with migraine increased by orthostatic loads but it decreased in patients with TTH and normal controls (Table 2). We also noticed that an orthostatic load increased the ratio of LF/HF in TTH and normal controls, but it did not cause alterations in patients with migraine. These observations might be brought by the HF elevation by orthostatic load in patients with migraine. The elevation of parasympathetic activity by orthostatic load is unusual phenomenon in normal controls. Besides, no alterations of sympathetic activity (LF/HF) followed by an orthostatic load in patients with migraine is a unique finding compared to TTH and normal control (Table 2). This finding is compatible with a report by Gotoh et al., studied by other methods [4]. They tested patients with migraine using the head-up tilt test and the Valsalva test, and found that sympathetic activities were decreased because the blood pressure declined in patients. Barloese et al., studied patients with cluster headache with the head-up tilt table test and recorded the LF, HF and LF/HF. They found decreased response of these indexes by the head-up tilt in patients with cluster headache [21]. We collected the data of LF, HF and LF/HF, and found HF ratio by orthostatic load as a supportive diagnostic measure for migraine. Because diagnoses of headache according to ICHD-II alone might have some difficulties in daily clinical settings [22], our method will be a helpful tool for differential diagnoses. According to Task Force of the European Society of Cardiology and the North American Society of Pacing and Eliectophysiology, the data collection required at least two minutes to obtain reliable results [23]. We followed this guideline and collected data.
In the course of spectral analyses of HRV, the factors affecting autonomic nervous function should be excluded. We designed our study using health check-ups. We carefully excluded diseases and condition affecting patients’ autonomic functions. Our patients with headache did not receive regular medication for their headaches. In our study, there were no male patients with migraine, so the influence of gender was unclear. An influence of age was not observed in both migraine and TTH cases. Stress, anxiety, sleeplessness and fatigue are also factors affecting autonomic tone [9,11]. Therefore, we focused on these factors, and the conditions of testing were kept uniform.
It is well known that migraine patients experience difficulties in the activities of daily living and social activities [24,25]. However, we could find no difference in the scores of GHQ-28, AIS and ESS. It is known that patients with TTH have sleep disturbances [26,27]. Additionally, there was no correlation between the indexes of HRV and GHQ-28, ESS points or MIDAS scores. Further studies with a larger number of patients should be considered.
The current study, to our knowledge, provided the first objective diagnostic method of migraine. The elevation of the HF ratio (standing/sitting) might be a supportive tool for differential diagnosis of migraine from TTH and normal controls. The method is easy to perform at the daily clinical settings.
The work was supported by Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research <KAKENHI> Grant Number 24591253.
We thank Prof. M. Yamada and Associate Prof. K. Iwasa of the Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, and Dr. M. Kanno, Chief Director of Keiju Medical Center, for their kind support in this work.

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