rdf:type |
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lifeskim:mentions |
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pubmed:issue |
11
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pubmed:dateCreated |
2008-11-12
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pubmed:abstractText |
In neuroimaging, connectivity refers to the correlations between signals in different brain regions. Although fMRI measures of connectivity have been widely explored, the methods used have varied. This complicates the interpretation of existing literature in cases when different techniques have been used with fMRI data to measure the single concept of "connectivity." Additionally the optimum choice of method for future analyses is often unclear.
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pubmed:grant |
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/19002252-11034865,
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1932-6203
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pubmed:author |
|
pubmed:issnType |
Electronic
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pubmed:volume |
3
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
e3708
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pubmed:dateRevised |
2010-12-3
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pubmed:meshHeading |
|
pubmed:year |
2008
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pubmed:articleTitle |
Empirical comparison of sources of variation for FMRI connectivity analysis.
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pubmed:affiliation |
Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA. baxter.rogers@vanderbilt.edu
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, N.I.H., Extramural
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