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Utility of partial correlation for characterising brain functional connectivity: MVPA-based assessment of regularisation and network selection

Abstract:

Correlation and partial correlation are often used to provide a characterisation of the network properties of the human brain, based on functional brain imaging data. However, for partial correlation, the choice of network nodes (brain regions) and regularisation parameters is crucial and not yet well explored. Here we assess a number of approaches by calculating how each approach performs when used to discriminate different ongoing states of brain activity. We find evidence that partial corr...

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Publication status:
Published

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Publisher copy:
10.1109/PRNI.2013.24

Authors


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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience
Madugula, S More by this author
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Institution:
University of Oxford
Department:
Oxford, MSD, Psychiatry
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Journal:
2013 3RD INTERNATIONAL WORKSHOP ON PATTERN RECOGNITION IN NEUROIMAGING (PRNI 2013)
Pages:
58-61
Publication date:
2013
DOI:
ISSN:
2330-9989
URN:
uuid:0fd52064-2bef-48f0-b139-dfe0525387d4
Source identifiers:
434943
Local pid:
pubs:434943
Language:
English
Keywords:

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