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尾状核在人类分类学习中的作用。

The roles of the caudate nucleus in human classification learning.

作者信息

Seger Carol A, Cincotta Corinna M

机构信息

Department of Psychology, Colorado State University, Fort Collins, Colorado 80523, USA.

出版信息

J Neurosci. 2005 Mar 16;25(11):2941-51. doi: 10.1523/JNEUROSCI.3401-04.2005.

Abstract

The caudate nucleus is commonly active when learning relationships between stimuli and responses or categories. Previous research has not differentiated between the contributions to learning in the caudate and its contributions to executive functions such as feedback processing. We used event-related functional magnetic resonance imaging while participants learned to categorize visual stimuli as predicting "rain" or "sun." In each trial, participants viewed a stimulus, indicated their prediction via a button press, and then received feedback. Conditions were defined on the bases of stimulus-outcome contingency (deterministic, probabilistic, and random) and feedback (negative and positive). A region of interest analysis was used to examine activity in the head of the caudate, body/tail of the caudate, and putamen. Activity associated with successful learning was localized in the body and tail of the caudate and putamen; this activity increased as the stimulus-outcome contingencies were learned. In contrast, activity in the head of the caudate and ventral striatum was associated most strongly with processing feedback and decreased across trials. The left superior frontal gyrus was more active for deterministic than probabilistic stimuli; conversely, extrastriate visual areas were more active for probabilistic than deterministic stimuli. Overall, hippocampal activity was associated with receiving positive feedback but not with correct classification. Successful learning correlated positively with activity in the body and tail of the caudate nucleus and negatively with activity in the hippocampus.

摘要

当学习刺激与反应或类别之间的关系时,尾状核通常会活跃起来。先前的研究尚未区分尾状核在学习中的作用与其在诸如反馈处理等执行功能中的作用。我们在参与者学习将视觉刺激分类为预测“下雨”或“晴天”时使用了事件相关功能磁共振成像。在每次试验中,参与者观看一个刺激,通过按键表明他们的预测,然后收到反馈。根据刺激 - 结果的偶然性(确定性、概率性和随机性)和反馈(负面和正面)来定义条件。使用感兴趣区域分析来检查尾状核头部、尾状核体/尾以及壳核的活动。与成功学习相关的活动定位于尾状核体/尾以及壳核;随着刺激 - 结果偶然性的习得,这种活动增加。相比之下,尾状核头部和腹侧纹状体的活动与处理反馈最为相关,并且在试验过程中减少。对于确定性刺激,左侧额上回比概率性刺激更活跃;相反,对于概率性刺激,纹外视觉区域比确定性刺激更活跃。总体而言,海马体活动与接收正面反馈相关,但与正确分类无关。成功学习与尾状核体/尾的活动呈正相关,与海马体的活动呈负相关。

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本文引用的文献

1
Cognitive functions and corticostriatal circuits: insights from Huntington's disease.
Trends Cogn Sci. 1998 Oct 1;2(10):379-88. doi: 10.1016/s1364-6613(98)01231-5.
2
Information-integration category learning in patients with striatal dysfunction.
Neuropsychology. 2005 Mar;19(2):212-22. doi: 10.1037/0894-4105.19.2.212.
3
Cortical and subcortical brain regions involved in rule-based category learning.
Neuroreport. 2005 Feb 8;16(2):111-5. doi: 10.1097/00001756-200502080-00007.
4
Separate neural systems value immediate and delayed monetary rewards.
Science. 2004 Oct 15;306(5695):503-7. doi: 10.1126/science.1100907.
5
Motivation-dependent responses in the human caudate nucleus.
Cereb Cortex. 2004 Sep;14(9):1022-30. doi: 10.1093/cercor/bhh062. Epub 2004 Apr 27.
6
Dissociable roles of ventral and dorsal striatum in instrumental conditioning.
Science. 2004 Apr 16;304(5669):452-4. doi: 10.1126/science.1094285.
7
An event-related fMRI study of artificial grammar learning in a balanced chunk strength design.
J Cogn Neurosci. 2004 Apr;16(3):427-38. doi: 10.1162/089892904322926764.
8
Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning.
J Neurophysiol. 2004 Aug;92(2):1144-52. doi: 10.1152/jn.01209.2003. Epub 2004 Mar 10.
9
Cortico-striatal contributions to feedback-based learning: converging data from neuroimaging and neuropsychology.
Brain. 2004 Apr;127(Pt 4):851-9. doi: 10.1093/brain/awh100. Epub 2004 Mar 10.

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