4.7 Article

Long-term test-retest reliability of functional MRI in a classification learning task

期刊

NEUROIMAGE
卷 29, 期 3, 页码 1000-1006

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2005.08.010

关键词

probabilistic classification learning; basal ganglia; neurodegenerative disease; longitudinal study; intra-class correlation

资金

  1. NINDS NIH HHS [R01 NS047434] Funding Source: Medline

向作者/读者索取更多资源

Functional MRI is widely used for imaging the neural correlates of psychological processes and how these brain processes change with learning, development and neuropsychiatric disorder. In order to interpret changes in imaging signals over time, for example, in patient studies, the long-term reliability of fMR1 must first be established. Here, eight healthy adult subjects were scanned on two sessions,1 year apart, while performing a classification learning task known to activate frontostriatal circuitry. We show that behavioral performance and frontostriatal activation were highly concordant at a group level at both time-points. Furthermore, intra-class correlation coefficients (ICCs), which index the degree of correlation between subjects at different time-points, were high for behavior and for functional activation. ICC was significantly higher within the network recruited by learning than outside that network. We conclude that FMRI can have high long-term test-retest reliability, making it suitable as a biomarker for brain development and neurodegeneration. (c) 2005 Published by Elsevier Inc.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据