Methods to detect, characterize, and remove motion artifact in resting state fMRI

• Published in: NeuroImage (Orlando, Fla.) Vol. 84; pp. 320 - 341
• Main Authors: Power, Jonathan D., Mitra, Anish, Laumann, Timothy O., Snyder, Abraham Z., Schlaggar, Bradley L., Petersen, Steven E.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Inc 01.01.2014; Elsevier; Elsevier Limited
• Subjects: Adolescent; Adult; Algorithms; Biological and medical sciences; Brain - physiology; Brain Mapping - methods; Conflicts of interest; Female; Functional connectivity; Fundamental and applied biological sciences. Psychology; Head Movements - physiology; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Male; Methods; Motion; Movement; MRI; Pattern Recognition, Automated - methods; Reproducibility of Results; Rest - physiology; Resting state; Sensitivity and Specificity; Subtraction Technique; Vertebrates: nervous system and sense organs; Young Adult; Functional connectivity; Motion; Resting state; Movement; MRI; Artifact; Nuclear magnetic resonance imaging; Functional imaging

Head motion systematically alters correlations in resting state functional connectivity fMRI (RSFC). In this report we examine impact of motion on signal intensity and RSFC correlations. We find that motion-induced signal changes (1) are often complex and variable waveforms, (2) are often shared acr...