title: Functional MRI Preprocessing in Lesioned Brains: Manual Versus Automated Region of Interest Analysis.
abstract: Functional magnetic resonance imaging (fMRI) has significant potential in the study and treatment of neurological disorders and stroke. Region of interest (ROI) analysis in such studies allows for testing of strong a priori clinical hypotheses with improved statistical power. A commonly used automated approach to ROI analysis is to spatially normalize each participant's structural brain image to a template brain image and define ROIs using an atlas. However, in studies of individuals with structural brain lesions, such as stroke, the gold standard approach may be to manually hand-draw ROIs on each participant's non-normalized structural brain image. Automated approaches to ROI analysis are faster and more standardized, yet are susceptible to preprocessing error (e.g., normalization error) that can be greater in lesioned brains. The manual approach to ROI analysis has high demand for time and expertise, but may provide a more accurate estimate of brain response. In this study, commonly used automated and manual approaches to ROI analysis were directly compared by reanalyzing data from a previously published hypothesis-driven cognitive fMRI study, involving individuals with stroke. The ROI evaluated is the pars opercularis of the inferior frontal gyrus. Significant differences were identified in task-related effect size and percent-activated voxels in this ROI between the automated and manual approaches to ROI analysis. Task interactions, however, were consistent across ROI analysis approaches. These findings support the use of automated approaches to ROI analysis in studies of lesioned brains, provided they employ a task interaction design.
authors.affiliation: Department of Psychiatry, Yale School of Medicine , New Haven, CT , USA ; Division of Biokinesiology and Physical Therapy, University of Southern California , Los Angeles, CA , USA ; Brain and Creativity Institute, University of Southern California , Los Angeles, CA , USA.
authors.forename: Kathleen A
authors.initials: KA
authors.lastname: Garrison
authors.affiliation: Brain and Creativity Institute, University of Southern California , Los Angeles, CA , USA ; Department of Speech and Hearing Science, Arizona State University , Tempe, AZ , USA.
authors.forename: Corianne
authors.initials: C
authors.lastname: Rogalsky
authors.affiliation: Brain and Creativity Institute, University of Southern California , Los Angeles, CA , USA ; Palo Alto VA Medical Center , Palo Alto, CA , USA ; Stanford University School of Medicine , Palo Alto, CA , USA.
authors.forename: Tong
authors.initials: T
authors.lastname: Sheng
authors.affiliation: Department of Biomedical Engineering, University of Southern California , Los Angeles, CA , USA.
authors.forename: Brent
authors.initials: B
authors.lastname: Liu
authors.affiliation: Brain and Creativity Institute, University of Southern California , Los Angeles, CA , USA ; Department of Psychology, University of Southern California , Los Angeles, CA , USA.
authors.forename: Hanna
authors.initials: H
authors.lastname: Damasio
authors.affiliation: Division of Biokinesiology and Physical Therapy, University of Southern California , Los Angeles, CA , USA.
authors.forename: Carolee J
authors.initials: CJ
authors.lastname: Winstein
authors.affiliation: Brain and Creativity Institute, University of Southern California , Los Angeles, CA , USA ; Department of Psychology, University of Southern California , Los Angeles, CA , USA ; Division of Occupational Science and Occupational Therapy, University of Southern California , Los Angeles, CA , USA.
authors.forename: Lisa S
authors.initials: LS
authors.lastname: Aziz-Zadeh
keywords: inferior frontal gyrus; lesion; region of interest analysis; spatial normalization; stroke