Testing Independent Component Patterns by Inter-Subject or Inter-Session Consistency
نویسندگان
چکیده
منابع مشابه
Testing Independent Component Patterns by Inter-Subject or Inter-Session Consistency
Independent component analysis (ICA) is increasingly used to analyze patterns of spontaneous activity in brain imaging. However, there are hardly any methods for answering the fundamental question: are the obtained components statistically significant? Most methods considering the significance of components either consider group-differences or use arbitrary thresholds with weak statistical just...
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Independent component analysis (ICA) is increasingly used for analyzing brain imaging data. ICA typically gives a large number of components, many of which may be just random, due to insufficient sample size, violations of the model, or algorithmic problems. Few methods are available for computing the statistical significance (reliability) of the components. We propose to approach this problem ...
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ژورنال
عنوان ژورنال: Frontiers in Human Neuroscience
سال: 2013
ISSN: 1662-5161
DOI: 10.3389/fnhum.2013.00094