The DOI matches its Crossref record; 118 of the 118 references it cites were found in a registry or an index.
The global signal in fMRI: Nuisance or Information?
Open accessAbstract
Abstract The global signal is widely used as a regressor or normalization factor for removing the effects of global variations in the analysis of functional magnetic resonance imaging (fMRI) studies. However, there is considerable controversy over its use because of the potential bias that can be introduced when it is applied to the analysis of both task‐related and resting‐state fMRI studies. In this paper we take a closer look at the global signal, examining in detail the various sources that can contribute to the signal. For the most part, the global signal has been treated as a nuisance term, but there is growing evidence that it may also contain valuable information. We also examine the various ways that the global signal has been used in the analysis of fMRI data, including global signal regression, global signal subtraction, and global signal normalization. Furthermore, we describe new ways for understanding the effects of global signal regression and its relation to the other approaches.
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Cites
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Cited by
Li, J., Kong, R., Liégeois, R., Orban, C., Tan, Y., Sun, N., Holmes, A. J., Sabuncu, M. R., Ge, T., & Yeo, B. T. T. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.016 · Cited by 380
Glasser, M. F., Coalson, T. S., Bijsterbosch, J. D., Harrison, S. J., Harms, M. P., Anticevic, A., Van Essen, D. C., & Smith, S. M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.076 · Cited by 257
Functional brain connectivity changes across the human life span: From fetal development to old age
Edde, M., Leroux, G., Altena, E., & Chanraud, S. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24669 · Cited by 143
van Duijvenvoorde, A. C. K., Westhoff, B., de Vos, F., Wierenga, L. M., & Crone, E. A. (2019) · Human Brain Mapping · doi:10.1002/hbm.24630 · Cited by 115
Autonomic arousals contribute to brain fluid pulsations during sleep
Picchioni, D., Özbay, P. S., Mandelkow, H., de Zwart, J. A., Wang, Y., van Gelderen, P., & Duyn, J. H. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118888 · Cited by 104
Metadata
- Authors
- Liu, T. T., Nalci, A., & Falahpour, M.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 150
- Pages
- 213-229
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2588517580
- Cited by
- 411
- References
- 118
- FWCI
- 15.46
- Type
- journal article
- Language
- en
- Open access
- green
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