Potential pitfalls when denoising resting state fMRI data using nuisance regression

Research article (NeuroImage, 2016) · cited 127× · AI/ML
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Potential pitfalls when denoising resting state fMRI data using nuisance regression

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Potential pitfalls when denoising resting state fMRI data using nuisance regression is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Potential pitfalls when denoising resting state fMRI data using nuisance regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/potential-pitfalls-when-denoising-resting-state-fmri-data-using-nuisance-regression
MLA “Potential pitfalls when denoising resting state fMRI data using nuisance regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/potential-pitfalls-when-denoising-resting-state-fmri-data-using-nuisance-regression.
BibTeX @misc{4ortxyz_potential-pitfalls-when-denoising-resting-state-fmri-data-using-nuisance-regression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Potential pitfalls when denoising resting state fMRI data using nuisance regression}}, year = {2026}, url = {https://4ort.xyz/entity/potential-pitfalls-when-denoising-resting-state-fmri-data-using-nuisance-regression}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Potential pitfalls when denoising resting state fMRI data using nuisance regression — https://4ort.xyz/entity/potential-pitfalls-when-denoising-resting-state-fmri-data-using-nuisance-regression (retrieved 2026-05-24)

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