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- W2557111525 endingPage "173" @default.
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- W2557111525 abstract "The number of resting state functional connectivity MRI studies continues to expand at a rapid rate along with the options for data processing. Of the processing options, few have generated as much controversy as global signal regression and the subsequent observation of negative correlations (anti-correlations). This debate has motivated new processing strategies and advancement in the field, but has also generated significant confusion and contradictory guidelines. In this article, we work towards a consensus regarding global signal regression. We highlight several points of agreement including the fact that there is not a single “right” way to process resting state data that reveals the “true” nature of the brain. Although further work is needed, different processing approaches likely reveal complementary insights about the brain's functional organisation." @default.
- W2557111525 created "2016-11-30" @default.
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- W2557111525 date "2017-07-01" @default.
- W2557111525 modified "2023-10-18" @default.
- W2557111525 title "Towards a consensus regarding global signal regression for resting state functional connectivity MRI" @default.
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- W2557111525 doi "https://doi.org/10.1016/j.neuroimage.2016.11.052" @default.
- W2557111525 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5489207" @default.
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