Optimizing preprocessing and analysis pipelines for single‐subject fMRI. I. Standard temporal motion and physiological noise correction methods

W. Churchill, Nathan; Oder, Anita; Abdi, Hervé; Tam, Fred; Lee, Wayne; G. Thomas, Christopher; Erik Ween, Jon; J. Graham, Simon; C. Strother, Stephen

doi:10.1002/hbm.21238

Public

Optimizing preprocessing and analysis pipelines for single‐subject fMRI. I. Standard temporal motion and physiological noise correction methods

Published in Human Brain Mapping • Mar 31, 2011

Authors:

Nathan W. Churchill

Anita Oder

Hervé Abdi

Abstract

Subject-specific artifacts caused by head motion and physiological noise are major confounds in BOLD fMRI analyses. However, there is little consensus on the optimal choice of data preprocessing steps to minimize these effects. To evaluate the effects of various preprocessing strategies, we present ...

Subject

Preprocessor

Artificial intelligence

Computer science

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