Regular ArticleA Robust Transcortical Profile Scanner for Generating 2-D Traverses in Histological Sections of Richly Curved Cortical Courses
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Cited by (25)
Analysis strategies for high-resolution UHF-fMRI data
2018, NeuroImageCitation Excerpt :This method uses the interior and exterior borders of the gray matter as boundary conditions, and defined cortical depth as the 2D equipotential surfaces of the solution (Jones et al., 2000). This technique has the added benefit of providing a means to define 1D contours orthogonal to 2D equipotential surfaces, i.e., the streamlines, which can be used to define laminar profiles across depths or to sample along the columnar direction (Schmitt and Böhme, 2002; De Martino et al., 2013b). While the solution to the Laplace equation provides a convenient local 3D coordinate system, these solutions do not align well with the locations of the cortical layers (Annese et al., 2004; Waehnert et al., 2012; Leprince et al., 2015).
Architectonic Mapping of the Human Brain beyond Brodmann
2015, NeuronCitation Excerpt :“Profiles” capturing the changes of a morphometric parameter (e.g., the volume fraction of cell bodies) from the surface of the brain to the cortex/white matter border were extracted as measures of the cortical architecture (Haug, 1956; Istomin and Amunts, 1992; Istomin and Shkliarov, 1984; Schleicher et al., 1986, 1998; Wree et al., 1982; Zilles, 1978). This and similar approaches have been applied and modified during the following decades (Adamson et al., 2005; Mackey and Petrides, 2009; Schmitt and Böhme, 2002). The measurement of regional distribution patterns of the gray level index (GLI), i.e., a reliable estimate of the volume fraction of cell bodies (Wree et al., 1982), and of GLI profiles vertical to the cortical ribbon using a computer-controlled scanning procedure were crucial steps for the development of observer-independent tools to define the position of areal borders based on statistically testable criteria.
3D model-based approach to identification of laminar structures of the cerebral cortex: Application to Brodmann areas 17 and 18
2013, Biomedical Signal Processing and ControlCitation Excerpt :The K-means algorithm [23] is employed as a generic intensity-based classifier for labelling voxels as WM, GM or BG tissue types. The Laplace equation method of Jones et al. [24] is used to construct cross-sectional streamlines for sampling intensity profiles from the cortical mantle; this produces equivalent results to the method of Schmitt et al. [25]. The Laplace equation method only guarantees orthogonal traversals of layers close to the inner and outer boundaries.
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