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Disambiguating brain functional connectivity

Eugene P. Duff, View ORCID ProfileTamar Makin, View ORCID ProfileStephen M. Smith, Mark W. Woolrich
doi: https://doi.org/10.1101/103002
Eugene P. Duff
aFMRIB Centre, University of Oxford, Oxford, United Kingdom, OX3 9DU
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Tamar Makin
aFMRIB Centre, University of Oxford, Oxford, United Kingdom, OX3 9DU
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  • ORCID record for Tamar Makin
Stephen M. Smith
aFMRIB Centre, University of Oxford, Oxford, United Kingdom, OX3 9DU
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Mark W. Woolrich
aFMRIB Centre, University of Oxford, Oxford, United Kingdom, OX3 9DU
bOxford Centre of Human Brain Activity, University of Oxford, Oxford, United Kingdom, OX3 7JX
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Abstract

Functional connectivity (FC) analyses of correlations of neural activity are used extensively in neuroimaging and electrophysiology to gain insights into neural interactions. However, correlation fails to distinguish sources as different as changes in neural signal amplitudes or noise levels. This ambiguity substantially diminishes the value of FC for inferring system properties and clinical states. Network modelling approaches may avoid ambiguities, but require specific assumptions. We present an enhancement to FC analysis with improved specificity of inferences, minimal assumptions and no reduction in flexibility. The Additive Signal Change (ASC) approach characterises FC changes into certain prevalent classes involving additions of signal. With FMRI data, the approach reveals a rich diversity of signal changes underlying measured changes in FC, bringing into question standard interpretations. The ASC method can also be used to disambiguate other measures of dependency, such as regression and coherence, providing a flexible tool for the analysis of neural data.

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Posted January 25, 2017.
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Disambiguating brain functional connectivity
Eugene P. Duff, Tamar Makin, Stephen M. Smith, Mark W. Woolrich
bioRxiv 103002; doi: https://doi.org/10.1101/103002
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Disambiguating brain functional connectivity
Eugene P. Duff, Tamar Makin, Stephen M. Smith, Mark W. Woolrich
bioRxiv 103002; doi: https://doi.org/10.1101/103002

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