An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets

By Joseph A. Maldjian, Paul J. Laurienti, Robert A. Kraft, Jonathan H. Burdette. NeuroImage, 2003

5,305 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/c6646484cf19abd9eeed321ce5abc9574ff8ae11

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Neural Correlates of Susceptibility to Group Opinions in Online Word-of-Mouth Recommendations (2015, methodology): “Data were modeled at the single-subject level using the general linear model as implemented in SPM8.”
A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia (2010, neutral): “fined structural regions from a common atlas or template [9], fuzzy clustering [10,11], temporal clustering (i.”
Episodic future thinking reduces reward delay discounting through an enhancement of prefrontal-mediotemporal interactions. (2010, methodology): “Correction for the hippocampus, amygdala, and ACC were performed using bilateral anatomical masks (Maldjian et al., 2003).”
Behavioral / Systems / Cognitive Striatal Prediction Error Modulates Cortical Coupling (2010, neutral): “For the putamen and ACC, search volumes were generated using the PickAtlas toolbox using the AAL atlas (Maldjian et al., 2003); for stimulus-specific visual areas, we used in-built localizer contrasts that were orthogonal to the other contrasts of interest (see below).”
Neural Correlates of Multisensory Perceptual Learning (2012, methodology): “Additional identification and breakdown of clusters by anatomical area was accomplished using the WFU_PickAtlas (Lancaster et al., 2000; Tzourio-Mazoyer et al., 2002; Maldjian et al., 2003) within the xjview SPM8 extension.”
The neural correlates and functional integration of cognitive control in a Stroop task (2005, methodology): “…a priori regions of interest (ROI) limited to Brodmann areas (BA) 24 and 32 in the medial prefrontal cortex, BA 8, 9, and 46 in the DLPFC, and BA7 and 40 in the parietal cortex, employing a mask created with the WFU Pick Atlas toolbox (Maldjian et al., 2003; see http://www.rad.wfubmc.edu/ fmri).”
Comparison of Characteristics between Region- and Voxel-Based Network Analyses in Resting-State fMRI Data (2009, positive): “The mean time course from the ventricles was obtained by averaging voxels within the ventricles using the ventricle mask produced by WFU PickAtlas Tool (Maldjian, et al. 2003).”
A specific role for posterior dorsolateral striatum in human habit learning (2009, methodology): “R habit learning, we used the WFU PickAtlas toolbox to apply an anatomical mask of the putamen (dilation = 1) to the data (Maldjian et al., 2003, 2004).”
A Dual Role for Prediction Error in Associative Learning (2008, neutral): “…the role of the striatum and the prefrontal cortex in associative learning (e.g., Fletcher et al. 2001; O’Doherty et al. 2004; Corlett et al. 2004), we performed an additional restricted search in these areas, using anatomical masks generated from the PickAtlas toolbox (Maldjian et al. 2003).”
Mindfulness practice leads to increases in regional brain gray matter density (2010, methodology): “The ROI contained the bilateral hippocampi and bilateral insulae and was created using the WFU Pickatlas software (Maldjian et al., 2003) and based on the parcellation of Tzourio-Mazoyer et al. (2002).”