The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Towards a consensus regarding global signal regression for resting state functional connectivity MRI
Open accessAbstract
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.
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The brain’s default network: updated anatomy, physiology and evolving insights
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Psychedelic drugs: neurobiology and potential for treatment of psychiatric disorders
Vollenweider, F. X., & Preller, K. H. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0367-2 · Cited by 570
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Metadata
- Authors
- Murphy, K., & Fox, M. D.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 154
- Pages
- 169-173
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2557111525
- Cited by
- 1,048
- References
- 62
- FWCI
- 43.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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