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通过丘脑底核深部脑刺激提高序列学习能力:治疗特异性网络调节的证据。

Improved sequence learning with subthalamic nucleus deep brain stimulation: evidence for treatment-specific network modulation.

机构信息

Center for Neurosciences, The Feinstein Institute for Medical Research, NY, USA

出版信息

J Neurosci. 2012 Feb 22;32(8):2804-13. doi: 10.1523/JNEUROSCI.4331-11.2012.

Abstract

We used a network approach to study the effects of anti-parkinsonian treatment on motor sequence learning in humans. Eight Parkinson's disease (PD) patients with bilateral subthalamic nucleus (STN) deep brain stimulation underwent H(2)(15)O positron emission tomography (PET) imaging to measure regional cerebral blood flow (rCBF) while they performed kinematically matched sequence learning and movement tasks at baseline and during stimulation. Network analysis revealed a significant learning-related spatial covariance pattern characterized by consistent increases in subject expression during stimulation (p = 0.008, permutation test). The network was associated with increased activity in the lateral cerebellum, dorsal premotor cortex, and parahippocampal gyrus, with covarying reductions in the supplementary motor area (SMA) and orbitofrontal cortex. Stimulation-mediated increases in network activity correlated with concurrent improvement in learning performance (p < 0.02). To determine whether similar changes occurred during dopaminergic pharmacotherapy, we studied the subjects during an intravenous levodopa infusion titrated to achieve a motor response equivalent to stimulation. Despite consistent improvement in motor ratings during infusion, levodopa did not alter learning performance or network activity. Analysis of learning-related rCBF in network regions revealed improvement in baseline abnormalities with STN stimulation but not levodopa. These effects were most pronounced in the SMA. In this region, a consistent rCBF response to stimulation was observed across subjects and trials (p = 0.01), although the levodopa response was not significant. These findings link the cognitive treatment response in PD to changes in the activity of a specific cerebello-premotor cortical network. Selective modulation of overactive SMA-STN projection pathways may underlie the improvement in learning found with stimulation.

摘要

我们采用网络方法研究了抗帕金森病治疗对人类运动序列学习的影响。8 名双侧丘脑底核(STN)深部脑刺激的帕金森病(PD)患者在基线和刺激期间进行运动序列学习和运动任务时进行 H(2)(15)O 正电子发射断层扫描(PET)成像,以测量局部脑血流(rCBF)。网络分析显示出一种与学习相关的显著空间协方差模式,其特征是在刺激期间个体表达一致增加(p = 0.008,置换检验)。该网络与外侧小脑、背侧运动前皮质和海马旁回的活动增加有关,同时与辅助运动区(SMA)和眶额皮质的活动减少有关。网络活动的刺激介导增加与学习表现的同时改善相关(p < 0.02)。为了确定在多巴胺能药物治疗期间是否发生类似的变化,我们在静脉内左旋多巴输注期间研究了这些患者,该输注被滴定以达到与刺激相当的运动反应。尽管在输注过程中运动评分持续改善,但左旋多巴并未改变学习表现或网络活动。对网络区域与学习相关的 rCBF 的分析显示,STN 刺激可改善基线异常,但左旋多巴则不能。这些影响在 SMA 中最为明显。在该区域,尽管左旋多巴的反应不显著,但在跨个体和试验中观察到对刺激的一致 rCBF 反应(p = 0.01)。这些发现将 PD 中的认知治疗反应与特定小脑-运动皮质网络活动的变化联系起来。过度活跃的 SMA-STN 投射途径的选择性调制可能是刺激改善学习的基础。

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