Region of interest analysis using an SPM toolbox

By Matthew Brett, Jean-Luc Anton, Romain Valabrègue, J B Poline. 2010

3,138 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/19ba0249dcada4bbdc3366d37e1f3362f324e904

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Citations in the corpus

Adolescent risky decision-making: Neurocognitive development of reward and control regions (2010, methodology): “net/ developed by: Brett et al. (2002)) to perform region of interest (ROI) analyses to further illustrate patterns of activation in the clusters that we identified in the voxelwise analyses.”
Neural Mechanisms of the Testosterone–Aggression Relation: The Role of Orbitofrontal Cortex (2010, methodology): “Parameter estimates were extracted from the OFC regions surviving the conjunction analysis for further use in the mediation analyses using Marsbar (Brett, Anton, Valabregue, & Poline, 2002 ).”
Learning and Consolidation of Novel Spoken Words (2009, methodology): “We also conducted an ROI analysis using MarsBar (Brett, Anton, Valabregue, & Poline, 2002) to assess the response of the superior regions of the left temporal lobe, an area that shows a robust additional response to novel compared with existing words both in the current study and in the previous wor”
Neural basis of extraordinary empathy and altruistic motivation (2010, methodology): “, 2006)] using MarsBar toolbox in SPM2 (Brett et al., 2002).”
Visualization of Group Inference Data in Functional Neuroimaging (2009, methodology): “The latter are implemented in the MarsBar Toolbox (Brett et al., 2001).”
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort (2010, methodology): “The MarsBaR region of interest (ROI) toolbox (Brett et al., 2002; Tzourio-Mazoyer et al., 2002) as implemented in SPM5 was then used to extract a single mean GM density value for 86 target regions in MNI space (Table 1) to be used as target QTs for the imaging genetic analyses.”
Temporo-parietal Junction Activity in Theory-of-Mind Tasks: Falseness, Beliefs, or Attention (2009, methodology): “All computations referring to regions of interest were done through the SPM toolbox MarsBaR ( Brett, Anton, Valabregue, & Poline, 2002 ).”
Widespread reward-system activation in obese women in response to pictures of high-calorie foods (2008, unknown): “…PFC, ACC, insula, The mean percent signal change was found for the voxel of maximum activation in ROIs for which the contrast of high-calorie vs. low-calorie foods was significantly greater in the obese group compared to the control group as calculated byMarsBar (Brett et al., 2002; see Table 4).”
Go and no-go learning in reward and punishment: Interactions between affect and effect (2012, methodology): “The striatum and the IFG regions of interest (ROIs) were defined using the MNI templates available in Marsbar (Brett et al., 2002); the striatum ROI included the caudate and the putamen, whereas the IFG ROI included the pars trigeminalis and the pars opercularis of the inferior frontal gyrus.”
Robot-based hand motor therapy after stroke. (2007, methodology): “In individual maps, task-related fMRI signal change was calculated (Brett et al., 2002) within a left sensorimotor cortex region of interest derived from prior hand motor imaging studies (‘hand area’ from http://hendrix.imm.dtu.dk/services/jerne/ninf/voi.html).”
Prediction-error in the context of real social relationships modulates reward system activity (2012, methodology): “All analyses reported here relied on a priori region of interest (ROI) contrasts between events using the MarsBaR toolbox for SPM (Version 0.41; Brett et al., 2002).”