The efficiency of fMRI region of interest analysis methods for detecting group differences

•Transformation into standard space affected structural and functional analysis results and group difference determinations.•Surface-based analyses using functional ROIs yielded the most group differences.•Native-space volumetric analyses generated significant group differences and would be appropri...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of neuroscience methods Vol. 226; pp. 57 - 65
Main Authors:	Hutchison, Joanna L., Hubbard, Nicholas A., Brigante, Ryan M., Turner, Monroe, Sandoval, Traci I., Hillis, G. Andrew J., Weaver, Travis, Rypma, Bart
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 15-04-2014
Subjects:	Adult Aged Brain - anatomy & histology Brain - physiology Brain Mapping - methods Cerebrovascular Circulation - physiology Decision Making - physiology Female Functional Laterality Functional magnetic resonance imaging (fMRI) Group differences Humans Image Processing, Computer-Assisted - methods Magnetic Resonance Imaging - methods Male Middle Aged Military Personnel Motor Activity - physiology Motor Cortex - anatomy & histology Motor Cortex - physiology Native space Neuropsychological Tests Prefrontal Cortex - anatomy & histology Prefrontal Cortex - physiology Region-of-interest (ROI) Standard space Students Veterans Young Adult Standard space Native space Functional magnetic resonance imaging (fMRI) Group differences Region-of-interest (ROI)
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	•Transformation into standard space affected structural and functional analysis results and group difference determinations.•Surface-based analyses using functional ROIs yielded the most group differences.•Native-space volumetric analyses generated significant group differences and would be appropriate when time is limited. Using a standard space brain template is an efficient way of determining region-of-interest (ROI) boundaries for functional magnetic resonance imaging (fMRI) data analyses. However, ROIs based on landmarks on subject-specific (i.e., native space) brain surfaces are anatomically accurate and probably best reflect the regional blood oxygen level dependent (BOLD) response for the individual. Unfortunately, accurate native space ROIs are often time-intensive to delineate even when using automated methods. We compared analyses of group differences when using standard versus native space ROIs using both volume and surface-based analyses. Collegiate and military-veteran participants completed a button press task and a digit-symbol verification task during fMRI acquisition. Data were analyzed within ROIs representing left and right motor and prefrontal cortices, in native and standard space. Volume and surface-based analysis results were also compared using both functional (i.e., percent signal change) and structural (i.e., voxel or node count) approaches. Results suggest that transformation into standard space can affect the outcome of structural and functional analyses (inflating/minimizing differences, based on cortical geography), and these transformations can affect conclusions regarding group differences with volumetric data. Caution is advised when applying standard space ROIs to volumetric fMRI data. However, volumetric analyses show group differences and are appropriate in circumstances when time is limited. Surface-based analyses using functional ROIs generated the greatest group differences and were less susceptible to differences between native and standard space. We conclude that surface-based analyses are preferable with adequate time and computing resources.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	0165-0270 1872-678X
DOI:	10.1016/j.jneumeth.2014.01.012