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Electrophysiological correlates of dentate nucleus deep brain stimulation for post-stroke motor recovery

齿状核 神经科学 电生理学 刺激 脑深部刺激 冲程(发动机) 核心 心理学 医学 物理 内科学 小脑 帕金森病 疾病 热力学
作者
Raghavan Gopalakrishnan,David A. Cunningham,Olivia Hogue,Madeleine Schroedel,Brett A. Campbell,Kenneth B. Baker,André G. Machado
出处
期刊:The Journal of Neuroscience [Society for Neuroscience]
卷期号:44 (27): e2149232024-e2149232024
标识
DOI:10.1523/jneurosci.2149-23.2024
摘要

While ipsilesional cortical electroencephalography has been associated with poststroke recovery mechanisms and outcomes, the role of the cerebellum and its interaction with the ipsilesional cortex is still largely unknown. We have previously shown that poststroke motor control relies on increased corticocerebellar coherence (CCC) in the low beta band to maintain motor task accuracy and to compensate for decreased excitability of the ipsilesional cortex. We now extend our work to investigate corticocerebellar network changes associated with chronic stimulation of the dentato-thalamo-cortical pathway aimed at promoting poststroke motor rehabilitation. We investigated the excitability of the ipsilesional cortex, the dentate (DN), and their interaction as a function of treatment outcome measures. Relative to baseline, 10 human participants (two women) at the end of 4–8 months of DN deep brain stimulation (DBS) showed (1) significantly improved motor control indexed by computerized motor tasks; (2) significant increase in ipsilesional premotor cortex event-related desynchronization that correlated with improvements in motor function; and (3) significant decrease in CCC, including causal interactions between the DN and ipsilesional cortex, which also correlated with motor function improvements. Furthermore, we show that the functional state of the DN in the poststroke state and its connectivity with the ipsilesional cortex were predictive of motor outcomes associated with DN-DBS. The findings suggest that as participants recovered, the ipsilesional cortex became more involved in motor control, with less demand on the cerebellum to support task planning and execution. Our data provide unique mechanistic insights into the functional state of corticocerebellar-cortical network after stroke and its modulation by DN-DBS.
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