ASSESSMENT OF MULTIDIMENSIONAL FUNCTIONAL NEUROIMAGING DATA MODEL BY STATISTICAL RESAMPLING

作者：Mutihac Radu^*

来源：Romanian Reports in Physics, 2010, 62(2): 263-274.

• statistical analysis
• independent component analysis (ICA)
• functional magnetic resonance imaging (fMRI)

Artificially generated functional magnetic resonance imaging (fMRI) data drawn from a block-based visual stimulation paradigm were analyzed by the stochastic neuromorphic extended BS Infomax algorithm [1] implementing spatial independent component analysis (ICA) [2] Variance estimate based on bootstrap resampling [3] was employed as model selection criterion and reliability assessment of ICA decomposition of neuroimaging data

• 出版日期2010