Quantifying inter-subject agreement in brain-imaging analyses

In brain-imaging research, we are often interested in making quantitative claims about effects across subjects. Given that most imaging data consist of tens to thousands of spatially correlated time series, inter-subject comparisons are typically accomplished with simple combinations of inter-subjec...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2008-02, Vol.39 (3), p.1051-1063
Hauptverfasser:	Wong, Dik Kin, Grosenick, Logan, Uy, E. Timothy, Guimaraes, Marcos Perreau, Carvalhaes, Claudio G., Desain, Peter, Suppes, Patrick
Format:	Artikel
Sprache:	eng
Schlagworte:	Agreements Algorithms Analysis of Variance Brain - anatomy & histology Brain - physiology Brain Mapping Computer Simulation Electroencephalography - statistics & numerical data Humans Hypotheses Hypothesis testing Image Processing, Computer-Assisted - statistics & numerical data Methods Models, Anatomic Random variables
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