Kruger Eric S, Hoopes Josh A, Cordial Rory J, Li Sheng
Motor Control Laboratory, School of Physical Therapy and Rehabilitation Science, University of Montana, Missoula, MT 59812, USA.
Exp Brain Res. 2007 Aug;181(3):461-8. doi: 10.1007/s00221-007-0942-z. Epub 2007 Apr 19.
The effect of muscle fatigue on error compensation strategies during multi-finger ramp force production tasks was investigated. Thirteen young, healthy subjects were instructed to produce a total force with four fingers of the right hand to accurately match a visually displayed template. The template consisted of a 3-s waiting period, a 3-s ramp force production [from 0 to 30% maximal voluntary contraction (MVC)], and a 3-s constant force production. A series of 12 ramp trials was performed before and after fatigue. Fatigue was induced by a 60-s maximal isometric force production with either the index-finger only or with all four fingers during two separate testing sessions. The average percent of drop was 38.2% in the MVC of the index finger after index-finger fatiguing exercise and 38.3% in the MVC of all fingers after four-finger fatiguing exercise. The ability of individual fingers to compensate for each other's errors in order for the total force to match the preset template was quantified as the error compensation index (ECI), i.e., the ratio of the sum of variances of individual finger forces and the variance of the total force. By comparing pre- and post-fatigue performance during four-finger ramp force production, we observed that the variance of the total force was not significantly changed after one- or four-finger fatiguing exercise. The ECI significantly decreased after four-finger fatiguing exercise, especially during the last second of the ramp; while the ECI remained unchanged after index finger single-finger fatiguing exercise. These results suggest that the central nervous system is able to utilize the abundant degrees of freedom to compensate for partial impairment of the motor apparatus induced by muscle fatigue to maintain the desired performance. However, this ability is significantly decreased when all elements of the motor apparatus are impaired.
研究了肌肉疲劳对多手指斜坡力产生任务中错误补偿策略的影响。13名年轻健康受试者被要求用右手的四根手指产生总力,以精确匹配视觉显示的模板。该模板包括3秒的等待期、3秒的斜坡力产生阶段(从0到30%最大自主收缩力(MVC))以及3秒的恒力产生阶段。在疲劳前后各进行了一系列12次斜坡试验。在两个单独的测试环节中,通过仅用食指或四根手指进行60秒的最大等长力产生来诱发疲劳。食指疲劳运动后,食指MVC的平均下降百分比为38.2%;四根手指疲劳运动后,所有手指MVC的平均下降百分比为38.3%。将单个手指相互补偿误差以使总力匹配预设模板的能力量化为误差补偿指数(ECI),即单个手指力方差之和与总力方差的比值。通过比较四根手指斜坡力产生过程中疲劳前后的表现,我们观察到在单指或四指疲劳运动后,总力的方差没有显著变化。四指疲劳运动后ECI显著降低,尤其是在斜坡的最后一秒;而食指单指疲劳运动后ECI保持不变。这些结果表明,中枢神经系统能够利用丰富的自由度来补偿肌肉疲劳引起的运动装置部分损伤,以维持期望的表现。然而,当运动装置的所有元件都受损时,这种能力会显著下降。