Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, University College London, London, England.
Neuropsychology. 2011 May;25(3):286-94. doi: 10.1037/a0021753.
Evidence from functional imaging and clinical studies on patients with Parkinson's disease (PD) or Huntington's disease (HD) suggests that the basal ganglia play a crucial role in learning on the weather prediction task (WPT). Using deep brain stimulation (DBS) on versus off methodology, the aim of this study was to investigate the effect of altering the output from the basal ganglia to the prefrontal cortex on implicit probabilistic classification learning on the WPT by patients with PD.
Eleven PD patients with bilateral DBS of the subthalamic nucleus (STN) and 13 matched controls completed 200 trials of the WPT on 2 separate occasions, with the patients tested with DBS of the STN on or off.
DBS of the STN had no effect on overall WPT learning. However, STN DBS selectively improved implicit learning of cue combinations that were weakly (implicitly), rather than strongly (explicitly), associated with the WPT outcome.
Results suggest that the STN plays a role in implicit probabilistic classification learning by altering basal ganglia output to the frontal cortex.
来自帕金森病（PD）或亨廷顿病（HD）患者的功能成像和临床研究证据表明，基底神经节在天气预报任务（WPT）的学习中起着至关重要的作用。本研究采用深部脑刺激（DBS）开与关的方法，旨在通过 PD 患者研究改变基底神经节到前额叶皮层的输出对 WPT 内隐概率分类学习的影响。
11 名接受双侧丘脑底核（STN）DBS 的 PD 患者和 13 名匹配的对照者在 2 个不同的场合完成了 200 次 WPT 试验，在试验中患者的 STN 接受 DBS 开或关。
STN 的 DBS 对 WPT 的整体学习没有影响。然而，STN 的 DBS 选择性地改善了与 WPT 结果弱（内隐地）相关而不是强（外显地）相关的线索组合的内隐学习。
结果表明，STN 通过改变基底神经节到前额叶皮层的输出，在隐式概率分类学习中发挥作用。
