Improving the precision of fMRI BOLD signal deconvolution with implications for connectivity analysis

An important, open problem in neuroimaging analyses is developing analytical methods that ensure precise inferences about neural activity underlying fMRI BOLD signal despite the known presence of confounds. Here, we develop and test a new meta-algorithm for conducting semi-blind (i.e., no knowledge...

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Veröffentlicht in:	Magnetic resonance imaging Jg. 33; H. 10; S. 1314 - 1323
Hauptverfasser:	Bush, Keith, Cisler, Josh, Bian, Jiang, Hazaroglu, Gokce, Hazaroglu, Onder, Kilts, Clint
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier Inc 01.12.2015
Schlagworte:	Adult Algorithms BOLD Bootstrapping Brain - physiology Brain Mapping - methods Deconvolution Female fMRI Functional connectivity Humans Image Processing, Computer-Assisted - methods Imaging analysis Magnetic Resonance Imaging - methods Male Radiology Reproducibility of Results Bootstrapping Functional connectivity fMRI Deconvolution BOLD Imaging analysis
ISSN:	0730-725X, 1873-5894, 1873-5894
Online-Zugang:	Volltext
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