Evaluation of noise regression techniques in resting-state fMRI studies using data of 434 older adults

Evaluation of noise regression techniques in resting-state fMRI studies using data of 434 older adults

Subject motion is a well-known confound in resting-state functional MRI (rs-fMRI) and the analysis of functional connectivity. Consequently, several clean-up strategies have been established to minimize the impact of subject motion. Physiological signals in response to cardiac activity and respirati...

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Bibliographic Details
Main Authors: Norman Scheel, Jeffrey N. Keller, Ellen F. Binder, Eric D. Vidoni, Jeffrey M. Burns, Binu P. Thomas, Ann M. Stowe, Linda S. Hynan, Diana R. Kerwin, Wanpen Vongpatanasin, Heidi Rossetti, C. Munro Cullum, Rong Zhang, David C. Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Neuroscience
Subjects:
resting-state fMRI
aging
preprocessing
noise regression
multi-site studies
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.1006056/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.1006056/full

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