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