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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Vydané v:	Magnetic resonance imaging Ročník 33; číslo 10; s. 1314 - 1323
Hlavní autori:	Bush, Keith, Cisler, Josh, Bian, Jiang, Hazaroglu, Gokce, Hazaroglu, Onder, Kilts, Clint
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier Inc 01.12.2015
Predmet:	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
On-line prístup:	Získať plný text
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