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一种使用 MRI 检测自行车运动中肌肉激活的时间序列的方法。

A method for detecting the temporal sequence of muscle activation during cycling using MRI.

机构信息

Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, USA.

出版信息

J Appl Physiol (1985). 2011 Mar;110(3):826-33. doi: 10.1152/japplphysiol.00185.2010. Epub 2010 Dec 16.

Abstract

Surface electromyography (EMG) can assess muscle recruitment patterns during cycling, but has limited applicability to studies of deep muscle recruitment and electrically stimulated contractions. We determined whether muscle recruitment timing could be inferred from MRI-measured transverse relaxation time constant (T(2)) changes and a cycle ergometer modified to vary power as a function of pedal angle. Six subjects performed 6 min of single-leg cycling under two conditions (E0°-230° and E90°-230°), which increased the power from 0°-230° and 90-230° of the pedal cycle, respectively. The difference condition produced a virtual power output from 0-180° (V0°-180°). Recruitment was assessed by integrating EMG over the pedal cycle (IEMG) and as the (post-pre) exercise T(2) change (ΔT(2)). For E0°-230°, the mean IEMG for vastus medialis and lateralis (VM/VL; 49.3 ± 3.9 mV·s; mean ± SE) was greater (P < 0.05) than that for E90°-230° (17.9 ± 1.9 mV·s); the corresponding ΔT(2) values were 8.7 ± 1.0 and 1.4 ± 0.5 ms (P < 0.05). For E0°-230° and E90°-230°, the IEMG values for biceps femoris/long head (BF(L)) were 37.7 ± 5.4 and 27.1 ± 5.6 mV·s (P > 0.05); the corresponding ΔT(2) values were 0.9 ± 0.9 and 1.5 ± 0.9 ms (P > 0.05). MRI data indicated activation of the semitendinosus and BF/short head for E0°-230° and E90°-230°. For V0°-180°, ΔT(2) was 7.2 ± 0.9 ms for VM/VL and -0.6 ± 0.6 ms for BF(L); IEMG was 31.5 ± 3.7 mV·s for VM/VL and 10.6 ± 7.0 mV·s for BF(L). MRI and EMG data indicate VM/VL activity from 0 to 180° and selected hamstring activity from 90 to 230°. Combining ΔT(2) measurements with variable loading allows the spatial and temporal patterns of recruitment during cycling to be inferred from MRI data.

摘要

表面肌电图(EMG)可评估骑行过程中的肌肉募集模式,但在研究深部肌肉募集和电刺激收缩方面的应用有限。我们确定肌肉募集时间是否可以从 MRI 测量的横向弛豫时间常数(T2)变化和修改后的循环测功机推断出来,该测功机可根据踏板角度的变化来改变功率。六名受试者在两种情况下(E0°-230°和 E90°-230°)进行了 6 分钟的单腿骑行,这分别增加了 0°-230°和 90-230°踏板周期的功率。差条件从 0-180°产生了虚拟功率输出(V0°-180°)。通过在踏板周期内整合肌电图(IEMG)和作为(运动后-运动前)T2 变化(ΔT2)来评估募集情况。对于 E0°-230°,股直肌和外侧肌(VM/VL)的平均 IEMG(49.3 ± 3.9 mV·s;均值 ± SE)大于 E90°-230°(17.9 ± 1.9 mV·s)(P < 0.05);相应的 ΔT2 值分别为 8.7 ± 1.0 和 1.4 ± 0.5 ms(P < 0.05)。对于 E0°-230°和 E90°-230°,股二头肌/长头(BF(L))的 IEMG 值分别为 37.7 ± 5.4 和 27.1 ± 5.6 mV·s(P > 0.05);相应的 ΔT2 值分别为 0.9 ± 0.9 和 1.5 ± 0.9 ms(P > 0.05)。MRI 数据表明 E0°-230°和 E90°-230°时半腱肌和 BF/短头被激活。对于 V0°-180°,VM/VL 的 ΔT2 为 7.2 ± 0.9 ms,BF(L)为-0.6 ± 0.6 ms;VM/VL 的 IEMG 为 31.5 ± 3.7 mV·s,BF(L)为 10.6 ± 7.0 mV·s。MRI 和 EMG 数据表明 VM/VL 从 0 到 180°的活动和 90 到 230°的选定腿筋活动。通过将 ΔT2 测量值与可变负载相结合,可以从 MRI 数据中推断出骑行过程中募集的空间和时间模式。

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