Variance decomposition for single-subject task-based fMRI activity estimates across many sessions

scientific article published on 20 October 2016

Variance decomposition for single-subject task-based fMRI activity estimates across many sessions is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/neuroimage/Gonzalez-Castillo17
P356DOI10.1016/J.NEUROIMAGE.2016.10.024
P932PMC publication ID5398961
P698PubMed publication ID27773827

P50authorPeter A. BandettiniQ42180855
P2093author name stringGang Chen
Javier Gonzalez-Castillo
Thomas E Nichols
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P407language of work or nameEnglishQ1860
P921main subjectfunctional magnetic resonance imagingQ903809
P304page(s)206-218
P577publication date2016-10-20
P1433published inNeuroImageQ1981225
P1476titleVariance decomposition for single-subject task-based fMRI activity estimates across many sessions
P478volume154

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cites work (P2860)
Q91819965Graph theory approaches to functional network organization in brain disorders: A critique for a brave new small-world
Q47345927Intraclass correlation: Improved modeling approaches and applications for neuroimaging
Q47905035Is the statistic value all we should care about in neuroimaging?
Q62649542Methods for computing the maximum performance of computational models of fMRI responses
Q38646445Task-based dynamic functional connectivity: Recent findings and open questions
Q91866864Whole-Brain Exploratory Analysis of Functional Task Response Following Erythropoietin Treatment in Mood Disorders: A Supervised Machine Learning Approach

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