Sensorimotor cortex beta oscillations reflect motor skill learning ability after stroke.
Sensorimotor cortex beta oscillations reflect motor skill learning ability after stroke.
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DOI：
10.1093/braincomms/fcaa161
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发表时间：
2020
影响因子：
4.8
通讯作者：
Ward NS
中科院分区：
文献类型：
--
作者：
Espenhahn S;Rossiter HE;van Wijk BCM;Redman N;Rondina JM;Diedrichsen J;Ward NS
中风后熟练运动的恢复被认为依赖于运动学习。然而，运动学习的能力和影响运动学习的因素，脑卒中后很少受到关注。在这项研究中，我们首先比较了恢复良好的中风患者和年龄和性能匹配的健康对照组之间的运动技能获得和保留。然后，我们测试了感觉运动皮层的β振荡（15-30 Hz）是否有助于预测与训练相关的运动表现。18名恢复良好的慢性卒中幸存者（平均年龄64 ± 8岁，范围：50-74岁）和20名年龄和性别匹配的健康对照者接受了持续跟踪任务的训练，并在初始训练后（45-60分钟和24小时后）进行了重新测试。在每次训练和重测之前，在执行简单运动任务期间记录头皮脑电图。中风患者表现出运动技能学习的能力，但与年龄和表现匹配的健康对照组相比，这种能力有所减弱。此外，尽管中风患者和健康对照组在训练前的β振荡特性相当，但中风患者在运动学习中的β测量值变化较小。最后，虽然β振荡没有帮助预测运动性能立即训练后，对侧（同侧）感觉运动皮层后运动β反弹测量训练后有助于预测未来的运动性能，24小时后训练。这一发现表明，神经生理学指标，如β振荡，可以帮助预测慢性中风患者对运动训练的反应，并可能为治疗干预提供新的目标。Espenhahn等人报告称，中风后运动技能学习能力得以保留，但与健康对照组相比有所下降。训练后与运动相关的β动力学有助于预测未来的运动表现，这表明β振荡可能有价值作为中风后运动系统（dys）功能的标志。
Recovery of skilled movement after stroke is assumed to depend on motor learning. However, the capacity for motor learning and factors that influence motor learning after stroke have received little attention. In this study, we first compared motor skill acquisition and retention between well-recovered stroke patients and age- and performance-matched healthy controls. We then tested whether beta oscillations (15–30 Hz) from sensorimotor cortices contribute to predicting training-related motor performance. Eighteen well-recovered chronic stroke survivors (mean age 64 ± 8 years, range: 50–74 years) and 20 age- and sex-matched healthy controls were trained on a continuous tracking task and subsequently retested after initial training (45–60 min and 24 h later). Scalp electroencephalography was recorded during the performance of a simple motor task before each training and retest session. Stroke patients demonstrated capacity for motor skill learning, but it was diminished compared to age- and performance-matched healthy controls. Furthermore, although the properties of beta oscillations prior to training were comparable between stroke patients and healthy controls, stroke patients did show less change in beta measures with motor learning. Lastly, although beta oscillations did not help to predict motor performance immediately after training, contralateral (ipsilesional) sensorimotor cortex post-movement beta rebound measured after training helped predict future motor performance, 24 h after training. This finding suggests that neurophysiological measures such as beta oscillations can help predict response to motor training in chronic stroke patients and may offer novel targets for therapeutic interventions. Espenhahn et al. report that motor skill learning ability is preserved after stroke, but diminished compared to healthy controls. Movement-related beta dynamics after training helped predict future motor performance, suggesting that beta oscillations may have value as markers of motor system (dys)function after stroke.
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影响因子：
4.2
作者：
Blicher JU;Near J;Næss-Schmidt E;Stagg CJ;Johansen-Berg H;Nielsen JF;Østergaard L;Ho YC
通讯作者：
Ho YC
影响因子：
3.4
作者：
Al-Sharman A;Siengsukon CF
通讯作者：
Siengsukon CF
使用药物脑磁图确定人类皮质中 GABA 能调节的神经网络药效学。
影响因子：
4.8
作者：
Hall, Stephen D.;Barnes, Gareth R.;Furlong, Paul L.;Seri, Stefano;Hillebrand, Arjan
通讯作者：
Hillebrand, Arjan
影响因子：
22.4
作者：
ADAMS, JA
通讯作者：
ADAMS, JA
影响因子：
--
作者：
Carmichael, S. Thomas
通讯作者：
Carmichael, S. Thomas