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疼痛对无先兆偏头痛和紧张型头痛患者在开-闭-紧咬循环过程中咬肌活动时间模式的影响。

Effect of pain on the timing pattern of masseter muscle activity during the open-close-clench cycle in the migraine without aura and tension type headaches.

作者信息

Hatef Boshra, Talebian Saeed, Hashemirad Fahimeh, Ghaffarpour Majid

机构信息

PhD Candidate, Physical Therapy Department, Medical School, Tarbiat Modares University, Tehran, Iran.

出版信息

Iran J Neurol. 2012;11(4):146-50.

Abstract

BACKGROUND

The existence of a pathophysiological link between headaches and muscle activity pattern is still being debated. The purpose of this study was to investigate the effect of pain on the timing pattern of the masseter muscle in patients with tension-type headache (TTH) and migraine without aura (MOA).

METHODS

57 women (22 controls, 19 MOA and 16 TTH) participated in the study. The electromyographic (EMG) activity of masseter during the open-close-clench cycle (OCC) was recorded in the interictal and ictal stages.

RESULTS

In the interictal stage, the results showed no significant difference in EMG activity between patients and control groups. However, masseter muscles in subjects with TTH (both sides) and in MOA patients (left side) activated significantly earlier than the control in the ictal stage. The duration of left masseter was also significantly greater in the TTH than in the control group (P < 0.05).

CONCLUSION

The findings of this study showed that activity pattern of masticatory muscles in headaches patients were affected by existence of pain. Furthermore, this study confirmed that temporal variables of EMG such as onset and duration rather than amplitude could be more reliable to identify altered activity pattern of muscles.

摘要

背景

头痛与肌肉活动模式之间病理生理联系的存在仍存在争议。本研究的目的是调查疼痛对紧张型头痛(TTH)和无先兆偏头痛(MOA)患者咬肌时间模式的影响。

方法

57名女性(22名对照者、19名MOA患者和16名TTH患者)参与了本研究。在发作间期和发作期记录了咬肌在开-闭-紧咬循环(OCC)期间的肌电图(EMG)活动。

结果

在发作间期,结果显示患者组与对照组之间的EMG活动无显著差异。然而,在发作期,TTH患者(双侧)和MOA患者(左侧)的咬肌比对照组激活明显更早。TTH患者左侧咬肌的持续时间也显著长于对照组(P < 0.05)。

结论

本研究结果表明,头痛患者咀嚼肌的活动模式受疼痛存在的影响。此外,本研究证实,EMG的时间变量如起始和持续时间而非幅度可能更可靠地识别肌肉活动模式的改变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/786c/3829263/fb76e1b1b7f9/IJNL-11-146-g001.jpg

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