Testing anatomically specified hypotheses in functional imaging using cytoarchitectonic maps

By Simon B. Eickhoff, S. Heim, Karl Zilles, Katrin Amunts. NeuroImage, 2006

656 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/a5ae7741274ddd88eec4b609a5034a11e73bde35

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Citations in the corpus

Stereotaxic probabilistic maps of the magnocellular cell groups in human basal forebrain (2008, background): “The generation of these maximum probability maps (MPM) is described elsewhere (Eickhoff et al., 2005, 2006).”
Subregions of the human superior frontal gyrus and their connections (2013, neutral): “Maximum probability map (MPM) calculation Considering inter-individual differences in the SFG parcellation, we calculated the MPM to show the final results (Caspers et al., 2008; Eickhoff et al., 2006).”
Disrupted Amygdalar Subregion Functional Connectivity and Evidence of a Compensatory Network in Generalized Anxiety Disorder (2009, neutral): “In GAD patients, BLA and CMA connectivity patterns were significantly less distinct, and increased gray matter volume was noted primarily in the CMA.”
A probabilistic MR atlas of the human cerebellum (2009, methodology): “The approach can also be used to define regions of interest to test a-priori hypotheses (Eickhoff et al., 2006).”
The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals (2008, background): “Just as functionally speciﬁc cortical regions may not obey the constraints of cortical folding patterns (Eickhoff et al. 2006), neurodegenerative diseases may selectively affect subregions within larger traditional anatomic regions (e.g., precuneus), or may traverse the gyral or sulcal boundaries…”
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).”
The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data (2011, methodology): “In turn, regions of interest defined by cytoarchitectonic areas [51] may be used for probing the BrainMap databases.”
Functional grouping and cortical-subcortical interactions in emotion: A meta-analysis of neuroimaging studies (2008, neutral): “For example, the “basic emotion” view (e.g., Ekman, 1992; Izard, 1993; Panksepp, 1998) contends that there are several discrete, biologically bounded categories emotion, and these correspond to the folk categories of fear, anger, happiness, disgust, and fear.”
Probabilistic Maps of Visual Topography in Human Cortex. (2015, methodology): “2007), whereas the MPM is useful for defining ROIs for hypothesis-driven questions (Eickhoff et al. 2006).”
Assignment of functional activations to probabilistic cytoarchitectonic areas revisited (2007, background): “…interpreted as either an activation of neuronal populations located at a cytoarchitectonic border, which is a common feature in sensory cortex (cf. Eickhoff et al., 2006b), or as a reflection of more distributed activation in both areas, which finds its maximum representation at the anatomical…”
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).”
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).”