Assignment of functional activations to probabilistic cytoarchitectonic areas revisited

By Simon B. Eickhoff, Tomás Paus, Svenja Caspers, Marie-Hélène Grosbras, Alan C. Evans, Karl Zilles, Katrin Amunts. NeuroImage, 2007

1,005 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/9e6695eb07d664e5722ade04a169b96d2f15cefb

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In Cognitive Neuroscience

Citations in the corpus

How concepts are encoded in the human brain: A modality independent, category-based cortical organization of semantic knowledge (2016, methodology): “The HG and CalS regionswere defined using the Jülich histological atlas of the FMRIB Software Library (Eickhoff et al., 2007; Smith et al., 2004), retaining about 8600 μL for each region that extended in both hemispheres.”
Functional Correlates of the Antero-Lateral Processing Hierarchy in Human Auditory Cortex (2011, methodology): “…maps of three areas (Te 1.0, Te 1.1, Te 1.2), which together are thought to represent BA 41 (consistent with definitions for human “core”) (Hackett et al., 2001), and are distributed with the Anatomical Toolbox for SPM (Morosan et al., 2001; Rademacher et al., 2001; Eickhoff et al., 2005, 2007).”
Minds Made for Sharing: Initiating Joint Attention Recruits Reward-related Neurocircuitry (2010, methodology): “The study was approved by the local ethics committee of the University of Cologne, Germany.”
Sustaining attention to simple tasks: a meta-analytic review of the neural mechanisms of vigilant attention. (2013, methodology): “Brain sections show foci of significant convergence overlaid on the template brain with maps of cytoarchitectonically defined areas as included in the SPM Anatomy Toolbox 1.7 (Eickhoff et al., 2005).”
ALE meta-analysis of action observation and imitation in the human brain (2010, neutral): “…54 − 72 2 Observation hand object L IFG / PrG BA 44 / vent-lat BA 6 − 51 7 30 L lat dPMC / MFG dors-lat BA 6 / MFG − 26 − 4 5 6 L SI / IPS BA 2 / hIP3 − 36 − 42 52 L IPL All peaks are assigned to the most probable brain areas as revealed by the SPM Anatomy Toolbox (Eickhoff et al., 2005, 2007).”
A quantitative meta-analysis and review of motor learning in the human brain (2013, methodology): “All results were anatomically labeled according to their most probable macroanatomical and cytoarchetectonic locations using the SPM Anatomy Toolbox (Eickhoff et al., 2005, 2006, 2007).”
Probabilistic Maps of Visual Topography in Human Cortex. (2015, methodology): “This measure is referred to as the central tendency (Eickhoff et al. 2007), defined as:”
Meta-analytical definition and functional connectivity of the human vestibular cortex (2012, methodology): “While it has been shown by analysis of somatotopic representations and connectivity (Eickhoff et al., 2007a, 2010), that OP 1 and OP 4 are the human homologues of primate somatosensory areas S2 and PV, and area OP 3 has been suggested to correspond to ill-characterized primate area VS, area OP 2…”
The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data (2011, methodology): “The Anatomy Toolbox is a MATLAB-based software tool [48] that allows the comparison of statistical images, including meta-analysis results, with probabilistic cytoarchitectonic maps of the human brain [49,50].”
Modelling neural correlates of working memory: A coordinate-based meta-analysis (2011, methodology): “All resulting areas were anatomically labelled by reference to probabilistic cytoarchitectonic maps of the human brain using the SPM Anatomy Toolbox (Eickhoff et al., 2005, 2007).”
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation (2020, background): “The alignment of the images to a single coordinate system not only allows comparison with other studies but also allows the combination of functional and structural information [210] .”
A probabilistic MR atlas of the human cerebellum (2009, methodology): “This provides a measure of the likelihood that a particular coordinate in MNI space is occupied by cortex with certain cytoarchitectonic properties, and can be used to assign anatomical labels to functional activation in an informed, systematic and unbiased fashion (Eickhoff et al., 2007).”
Neural responses to ingroup and outgroup members' suffering predict individual differences in costly helping. (2010, positive): “The anatomical localizations of the functional activations were identified using an anatomical atlas (Duvernoy, 1999) and probabilistic cytoarchitectonical maps (Eickhoff et al., 2007) implemented in the SPM”
Brain templates and atlases (2012, methodology): “The TD data was subsequently included in the Pickatlas (Maldjian et al., 2003, 2004) that is included as an extension to SPM. Harvard-Oxford Distributed with FSL, this probabilistic atlas in MN152 space is derived from 37 healthy young adult brains.”
Functional segmentation of the brain cortex using high model order group PICA (2009, methodology): “The Juelich histological atlas [Eickhoff et al., 2007] and the Harvard-Oxford cortical and subcortical atlases (Harvard Center for Morphometric Analysis) provided with the FSL4 software package were used to quantify anatomical characteristics of thresholded Z-score maps.”
Comparison of the disparity between Talairach and MNI coordinates in functional neuroimaging data: Validation of the Lancaster transform (2010, neutral): “Furthermore, being Talairach-compliant does not prevent the creation of probabilistic, automated naming tools such as the Talairach Daemon or the cytoarchitectonic labels of the SPM Anatomy Toolbox (Eickhoff et al., 2005; 2006; 2007).”
Neural network of cognitive emotion regulation — An ALE meta-analysis and MACM analysis (2013, methodology): “For the anatomical localization the meta-analytic data was referenced to probabilistic cytoarchitectonic maps provided in the SPM Anatomy Toolbox (Eickhoff et al., 2005, 2006, 2007).”