Coherent neural oscillations inform early stroke motor recovery.
Coherent neural oscillations inform early stroke motor recovery.
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DOI：
10.1002/hbm.25643
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发表时间：
2021-12-01
影响因子：
4.8
通讯作者：
Cramer SC
中科院分区：
文献类型：
--
作者：
Cassidy JM;Wodeyar A;Srinivasan R;Cramer SC
神经振荡可能包含有关中风康复的重要信息。本研究使用数据驱动方法检查了脑卒中后脑电图衍生神经振荡的预测性能。住院康复机构收治的卒中患者在入院时完成了静息态脑电图记录和结构神经成像，并在入院和出院时进行了运动测试。使用交叉验证的套索回归模型，我们根据脑电图、基线运动状态和皮质脊髓束损伤确定了运动恢复程度（功能独立性测量运动子量表评分的入院至出院变化）预测。在27名参与者中，在1-30 Hz频带之间的一致性，覆盖同侧初级运动皮层和16个导联的双侧半球预测运动恢复的方差的61.8%。高β（20-30 Hz）和α（8-12 Hz）频率对模型的贡献最大，证明了与运动恢复的正相关和负相关，包括补充运动区和同病灶腹侧运动前区和顶叶区的高β导联以及覆盖对侧病灶颞顶叶和同病灶顶叶区的α导联。脑电图功率、基线运动状态和皮质脊髓束损伤不能显著预测住院期间的运动恢复（R2 = 0-6.2%）。研究结果强调了振荡同步在早期中风康复中的相关性，同时强调了传统假设驱动预测模型忽略的β和α频带以及额叶、顶叶和颞顶叶区域的贡献。这项研究使用数据驱动的方法检查了中风后脑电描记术衍生的神经振荡的预测性能。在27名参与者中，EEG相干性在1-30 Hz频带之间的铅覆盖同侧初级运动皮层和16个铅超过双侧半球预测运动恢复的方差的61.8%。
Neural oscillations may contain important information pertaining to stroke rehabilitation. This study examined the predictive performance of electroencephalography‐derived neural oscillations following stroke using a data‐driven approach. Individuals with stroke admitted to an inpatient rehabilitation facility completed a resting‐state electroencephalography recording and structural neuroimaging around the time of admission and motor testing at admission and discharge. Using a lasso regression model with cross‐validation, we determined the extent of motor recovery (admission to discharge change in Functional Independence Measurement motor subscale score) prediction from electroencephalography, baseline motor status, and corticospinal tract injury. In 27 participants, coherence in a 1–30 Hz band between leads overlying ipsilesional primary motor cortex and 16 leads over bilateral hemispheres predicted 61.8% of the variance in motor recovery. High beta (20–30 Hz) and alpha (8–12 Hz) frequencies contributed most to the model demonstrating both positive and negative associations with motor recovery, including high beta leads in supplementary motor areas and ipsilesional ventral premotor and parietal regions and alpha leads overlying contralesional temporal–parietal and ipsilesional parietal regions. Electroencephalography power, baseline motor status, and corticospinal tract injury did not significantly predict motor recovery during hospitalization (R 2 = 0–6.2%). Findings underscore the relevance of oscillatory synchronization in early stroke rehabilitation while highlighting contributions from beta and alpha frequency bands and frontal, parietal, and temporal–parietal regions overlooked by traditional hypothesis‐driven prediction models. This study examined the predictive performance of electroencephalography‐derived neural oscillations following stroke using a data‐driven approach. In 27 participants, EEG coherence in a 1–30 Hz band between leads overlying ipsilesional primary motor cortex and 16 leads over bilateral hemispheres predicted 61.8% of the variance in motor recovery.
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影响因子：
5.7
作者：
Bunea F;She Y;Ombao H;Gongvatana A;Devlin K;Cohen R
通讯作者：
Cohen R
影响因子：
8.3
作者：
Cramer, SC;Nelles, G;Rosen, BR
通讯作者：
Rosen, BR
DOI：
10.1016/0013-4694(80)90011-5
发表时间：
1980-01-01
期刊：
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY
影响因子：
--
作者：
DASILVA, FHL;VOS, JE;VANROTTERDAM, A
通讯作者：
VANROTTERDAM, A
影响因子：
4.2
作者：
Boenstrup, M.;Schulz, R.;Gerloff, C.
通讯作者：
Gerloff, C.
影响因子：
4.2
作者：
Guggisberg, Adrian G.;Nicolo, Pierre;Buch, Ethan R.
通讯作者：
Buch, Ethan R.