Optimizing preprocessing and analysis pipelines for single-subject fMRI: 2. Interactions with ICA, PCA, task contrast and inter-subject heterogeneity

A variety of preprocessing techniques are available to correct subject-dependant artifacts in fMRI, caused by head motion and physiological noise. Although it has been established that the chosen preprocessing steps (or "pipeline") may significantly affect fMRI results, it is not well unde...

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Veröffentlicht in:	PloS one 2012-02, Vol.7 (2), p.e31147-e31147
Hauptverfasser:	Churchill, Nathan W, Yourganov, Grigori, Oder, Anita, Tam, Fred, Graham, Simon J, Strother, Stephen C
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Adults Analysis Biology Biophysics Brain Mapping - methods Brain research Cognitive ability Computer Simulation Design factors Discriminant analysis Engineering Experimental design Female Food quality Fourier Analysis Functional magnetic resonance imaging Head movement Heterogeneity Humans Hypotheses Image Processing, Computer-Assisted - methods Independent component analysis Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Mathematics Medical imaging Medical research Motion Multivariate analysis Neurosciences NMR Noise Noise reduction Normal Distribution Nuclear magnetic resonance Optimization Oxygen - blood Physiological aspects Physiology Pipelines Preprocessing Principal Component Analysis Principal components analysis Regression Analysis Reproducibility Reproducibility of Results Respiration Sparsity Time Factors Young Adult
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