Analysis of probabilistic classification learning in patients with Parkinson's disease before and after pallidotomy surgery.
Analysis of probabilistic classification learning in patients with Parkinson's disease before and after pallidotomy surgery.
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DOI：
10.1101/lm.45903
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发表时间：
2003-05
影响因子：
2
通讯作者：
J. Sage;S. Anagnostaras;Shawn Mitchell;J. Bronstein;A. D. De Salles;D. Masterman;B. Knowlton
中科院分区：
文献类型：
--
作者：
J. Sage;S. Anagnostaras;Shawn Mitchell;J. Bronstein;A. D. De Salles;D. Masterman;B. Knowlton
这项研究检查了概率分类学习的特征，这是一种内隐学习的形式，以前在基底神经节功能障碍患者中被证明是受损的（例如，帕金森氏病）。在这项任务中，受试者学习使用在许多试验中逐渐形成的关联来预测天气，因为线索-结果关系的概率性质。帕金森病患者在苍白球切开术前后，以及年龄匹配的对照受试者，在100次训练试验中表现出概率分类学习的证据。然而，苍白球切开术似乎阻碍了自然界中最隐含的联想的学习（即，弱关联线索）。虽然受试者在学习任务时对单一线索关联最敏感，但有证据表明，线索组合对概率学习有显着贡献。多个相关措施的效用进行了讨论。
This study examined the characteristics of probabilistic classification learning, a form of implicit learning previously shown to be impaired in patients with basal ganglia dysfunction (e.g., Parkinson's disease). In this task, subjects learn to predict the weather using associations that are formed gradually across many trials, because of the probabilistic nature of the cue-outcome relationships. Patients with Parkinson's disease, both before and after pallidotomy, and age-matched control subjects, exhibited evidence of probabilistic classification learning across 100 training trials. However, pallidotomy appears to hinder the learning of associations most implicit in nature (i.e., weakly associated cues). Although subjects were most sensitive to single-cue associations when learning the task, there is evidence that cue combinations contribute significantly to probability learning. The utility of multiple dependent measures is discussed.