Smith Beth A, Teulier Caroline, Sansom Jennifer, Stergiou Nicholas, Ulrich Beverly D
Balance Disorders Laboratory, Department of Neurology, Oregon Health & Science University, Portland, Oregon, USA.
Pediatr Phys Ther. 2011 Fall;23(3):241-7. doi: 10.1097/PEP.0b013e3182289ae4.
One obstacle to providing early intervention to infants with myelomeningocele (MMC) is the challenge of quantifying impaired neuromotor control of movements early in life.
We used the nonlinear analysis tool Approximate Entropy (ApEn) to analyze periodicity and complexity of supine spontaneous lower extremity movements of infants with MMC and typical development (TD) at 1, 3, 6, and 9 months of age.
Movements of infants with MMC were more regular and repeatable (lower ApEn values) than movements of infants with TD, indicating less adaptive and flexible movement patterns. For both groups ApEn values decreased with age, and the movements of infants with MMC were less complex than movements of infants with TD. Further, for infants with MMC, lesion level and age of walking onset correlated negatively with ApEn values.
Our study begins to demonstrate the feasibility of ApEn to identify impaired neuromotor control in infants with MMC.
为患有脊髓脊膜膨出(MMC)的婴儿提供早期干预的一个障碍是在生命早期量化运动中神经运动控制受损的挑战。
我们使用非线性分析工具近似熵(ApEn)来分析患有MMC和发育正常(TD)的婴儿在1、3、6和9个月大时仰卧位自发下肢运动的周期性和复杂性。
与TD婴儿的运动相比,MMC婴儿的运动更规律且可重复(ApEn值更低),表明其运动模式的适应性和灵活性较差。两组的ApEn值均随年龄降低,且MMC婴儿的运动比TD婴儿的运动更简单。此外,对于MMC婴儿,病变水平和开始行走的年龄与ApEn值呈负相关。
我们的研究开始证明ApEn用于识别MMC婴儿神经运动控制受损的可行性。