期刊
HUMAN BRAIN MAPPING
卷 20, 期 4, 页码 220-226出版社
WILEY-LISS
DOI: 10.1002/hbm.10144
关键词
functional connectivity; BOLD; model-free analysis; pattern recognition; clustering; functional MRI
资金
- NINDS NIH HHS [NS32756] Funding Source: Medline
- NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS032756] Funding Source: NIH RePORTER
Low-frequency oscillations (<0.08 Hz) have been detected in functional MRI studies, and appear to be synchronized between functionally related areas. A current challenge is to detect these patterns without using an external reference. Self-organizing maps (SOMs) offer a way to automatically group data without requiring a user-biased reference function or region of interest. Resting state functional MRI data was classified using a self-organizing map (SOM). Functional connectivity between the left and right motor cortices was detected in five subjects, and was comparable to results from a reference-based approach. SOMs are shown to be an attractive option in detecting functional connectivity using a model-free approach. (C) 2003 Wiley-Liss, Inc.
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