Corticostriatal networks in human categorization

人类分类中的皮质纹状体网络

• 批准号: 7316900
• 负责人: CAROL A SEGER
• 金额: $ 22.05万
• 依托单位: COLORADO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-03 至 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7316900
• 关键词: Accounting; Affect; Area; Attention deficit hyperactivity disorder; Basal Ganglia Diseases; Behavior; Behavioral; Body Regions; Brain imaging; Categories; Cerebral cortex; Classification; Computer Simulation; Corpus striatum structure; Disease; Environment; Event; Feedback; Functional Imaging; Functional Magnetic Resonance Imaging; Gilles de la Tourette syndrome; Goals; Head; Human; Huntington Disease; Image; Impairment; Individual; Knowledge; Learning; Link; Location; Medial; Medical; Memory; Motor; Outcome; Parkinson Disease; Patients; Pharmacologic Substance; Play; Prefrontal Cortex; Procedures; Process; Range; Recruitment Activity; Rehabilitation therapy; Relative (related person); Reliance; Research; Research Personnel; Rewards; Role; Schizophrenia; Stimulus; Structure; System; Tail; Temporal Lobe; Testing; Time; Time Factors; Variant; Ventral Striatum; Visual; Visual Cortex; addiction; base; cognitive neuroscience; executive function; expectation; frontal lobe; fusiform face area; insight; interest; member; prototype; putamen; response; reward processing; visual process; visual processing

DESCRIPTION (provided by applicant): Category learning is learning to classify stimuli into different groups, or categories. Corticostriatal networks connecting the striatum, including the caudate and putamen, with the cerebral cortex play an important role in category learning. The overall aim of this project is to differentiate between the functions that three of these networks, one linking the head of the caudate with frontal cortex, and one linking the body/tail of the caudate to visual cortex, and one linking the putamen with sensorimotor cortex, serve in classification learning using functional Magnetic Resonance Imaging (fMRI). Previous studies have linked the head of the caudate to processing feedback (i.e., being told that a classification response is correct or incorrect). The body and tail of the caudate, along with the putamen, has been linked to learning and executing associations between stimuli and categories. The first aim is to investigate the sensitivity of the head of the caudate to both verbal feedback and monetary reward, and compare how positive and negative associations with stimuli are represented. The second aim is to investigate how the body and tail of the caudate interacts with visual cortex during learning. The third aim is to distinguish between the roles of the body and tail of the caudate and putamen in categorization. The fourth aim is to separate the contributions of the striatum to categorization from those of the medial temporal lobe. The striatum is affected in many disorders, including Parkinson's disease, Huntington's disease, schizophrenia, and Tourette syndrome. Behavioral studies have shown that category learning is impaired in all of these disorders. The proposed studies may provide insight into the types of learning problems seen in patients with these diseases.

描述（由申请人提供）：类别学习是学习将刺激分为不同的组或类别。连接纹状体（包括尾状核和壳核）与大脑皮质的皮质纹状体网络在类别学习中发挥着重要作用。该项目的总体目标是区分其中三个网络的功能，一个连接尾状核头部与额叶皮质，一个连接尾状核体/尾与视觉皮质，一个连接壳核与感觉运动皮质，用于使用功能性磁共振成像（fMRI）进行分类学习。以前的研究已经将尾状核的头部与处理反馈联系起来（即，被告知分类响应是正确的还是不正确的）。尾状核的主体和尾部，连同壳核，沿着与刺激和类别之间的学习和执行关联有关。第一个目的是调查的敏感性的头的尾状核的口头反馈和金钱奖励，并比较如何积极和消极的协会与刺激的代表。第二个目的是研究在学习过程中尾状核的主体和尾部如何与视觉皮层相互作用。第三个目的是区分尾状核和壳核的体和尾在分类中的作用。第四个目标是区分纹状体和内侧颞叶对分类的贡献。纹状体在许多疾病中受到影响，包括帕金森病、亨廷顿病、精神分裂症和图雷特综合征。行为研究表明，类别学习在所有这些障碍中都会受损。拟议的研究可能会深入了解这些疾病患者的学习问题类型。