Toward a neurometric foundation for probabilistic independent component analysis of fMRI data

Improved fMRI data analysis methods hold promise for breakthroughs in cognitive and affective neuroscience. Group probabilistic independent component analysis (pICA), such as that implemented by MELODIC (Beckmann & Smith IEEE Transactions on Medical Imaging 23:137–152, 2004 ), is one popular tec...

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Veröffentlicht in:	Cognitive, affective, & behavioral neuroscience affective, & behavioral neuroscience, 2013-09, Vol.13 (3), p.641-659
Hauptverfasser:	Poppe, Andrew B., Wisner, Krista, Atluri, Gowtham, Lim, Kelvin O., Kumar, Vipin, MacDonald, Angus W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Algorithms Behavioral Science and Psychology Biometry Brain - physiology Brain Mapping - methods Cognitive Psychology Female Humans Magnetic Resonance Imaging - methods Male Neurosciences Probability Psychology Reproducibility of Results Rest - physiology Statistics as Topic - methods Young Adult
Online-Zugang:	Volltext
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