Allen Matti D, Stashuk Daniel W, Kimpinski Kurt, Doherty Timothy J, Hourigan Maddison L, Rice Charles L
School of Kinesiology, Faculty of Health Sciences, University of Western Ontario, London, Ontario, Canada.
Systems Design Engineering, University of Waterloo, Canada.
Clin Neurophysiol. 2015 Apr;126(4):794-802. doi: 10.1016/j.clinph.2014.07.018. Epub 2014 Aug 18.
To assess the degree of neuromuscular transmission variability and motor unit (MU) remodelling in patients with diabetic polyneuropathy (DPN) using decomposition-based quantitative electromyography (DQEMG) and near fibre (NF) motor unit potential (MUP) parameters.
The tibialis anterior (TA) muscle was tested in 12 patients with DPN (65 ± 15 years) and 12 controls (63 ± 15 years). DQEMG was used to analyze electromyographic (EMG) signals collected during voluntary contractions. MUP and NF MUP parameters were analyzed. NF MUPs were obtained by high-pass filtering MUP template waveforms, which isolates contributions of fibres that are close to the needle detection surface. NF MUP parameters provided assessment of motor unit size (NF area), fibre density (NF fibre count) and contribution dispersion (NF dispersion) and neuromuscular transmission instability (NF jiggle).
DPN patients had larger (+45% NF area), more complex (+30% NF fibre count), and less stable (+30% NF jiggle) NF MUPs (p<0.05). No significant relationships were found between NF MUP stability and denervation, or strength; however NF MUP complexity was positively related to TA denervation in the DPN group (r=0.63; p<0.05). NF MUP complexity and instability were positively related in DPN patients (r=0.46; p<0.05).
DPN is associated with neuromuscular transmission instability and MU remodelling that can be assessed using DQEMG.
DQEMG-derived NF MUP parameters may be useful in identifying patients in early stages of neuromuscular dysfunction related to DPN.
使用基于分解的定量肌电图(DQEMG)和近纤维(NF)运动单位电位(MUP)参数,评估糖尿病性多发性神经病(DPN)患者神经肌肉传递变异性程度和运动单位(MU)重塑情况。
对12例DPN患者(65±15岁)和12例对照者(63±15岁)的胫前肌(TA)进行检测。使用DQEMG分析自主收缩期间采集的肌电图(EMG)信号。分析MUP和NF MUP参数。通过对MUP模板波形进行高通滤波获得NF MUP,这可分离靠近针检测表面的纤维的贡献。NF MUP参数可评估运动单位大小(NF面积)、纤维密度(NF纤维计数)、贡献离散度(NF离散度)和神经肌肉传递不稳定性(NF抖动)。
DPN患者的NF MUP更大(NF面积增加45%)、更复杂(NF纤维计数增加30%)且稳定性更低(NF抖动增加30%)(p<0.05)。未发现NF MUP稳定性与失神经或力量之间存在显著关系;然而,DPN组中NF MUP复杂性与TA失神经呈正相关(r=0.63;p<0.05)。DPN患者中NF MUP复杂性和不稳定性呈正相关(r=0.46;p<0.05)。
DPN与神经肌肉传递不稳定性和MU重塑相关,可使用DQEMG进行评估。
DQEMG衍生的NF MUP参数可能有助于识别与DPN相关的神经肌肉功能障碍早期阶段的患者。