The impact of T1 versus EPI spatial normalization templates for fMRI data analyses

• Published in: Human brain mapping Vol. 38; no. 11; pp. 5331 - 5342
• Main Authors: Calhoun, Vince D., Wager, Tor D., Krishnan, Anjali, Rosch, Keri S., Seymour, Karen E., Nebel, Mary Beth, Mostofsky, Stewart H., Nyalakanai, Prashanth, Kiehl, Kent
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.11.2017; John Wiley and Sons Inc
• Subjects: Adolescent; Adult; Affine transformations; Autistic Disorder - diagnostic imaging; Autistic Disorder - physiopathology; Brain; Brain - diagnostic imaging; Brain - physiology; Brain - physiopathology; Brain mapping; Brain Mapping - methods; Child; Child, Preschool; coregistration; Data processing; Distortion; echo planar image; fMRI; Functional magnetic resonance imaging; Genetic transformation; Humans; Inhibition, Psychological; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Middle Aged; Motor Activity - physiology; Neuroimaging; Nonlinear Dynamics; Pain - diagnostic imaging; Pain - physiopathology; Rest; Software packages; Spatial analysis; spatial normalization; Young Adult; fMRI; spatial normalization; echo planar image; coregistration

Spatial normalization of brains to a standardized space is a widely used approach for group studies in functional magnetic resonance imaging (fMRI) data. Commonly used template‐based approaches are complicated by signal dropout and distortions in echo planar imaging (EPI) data. The most widely used...