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Partner‐matching for the automated identification of reproducible ICA components from fMRI datasets: Algorithm and validation

The analysis of functional magnetic resonance imaging (fMRI) data is complicated by the presence of a mixture of many sources of signal and noise. Independent component analysis (ICA) can separate these mixtures into independent components, each of which contains maximal information from a single, i...

詳細記述

保存先:
書誌詳細
主要な著者: Wang, Zhishun, Peterson, Bradley S.
フォーマット: Artigo
言語:Inglês
出版事項: Wiley Subscription Services, Inc., A Wiley Company 2007
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2574809/
https://ncbi.nlm.nih.gov/pubmed/18058813
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20434
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