Neuroimage issue on brain segmentation and parcellation Posted By: Pierre Bellec - Mar 31, 2016Tool/Resource: NITRC Community Brain Segmentation and Parcellation Neuroimage special issue Whether it’s the delineation of brain features using image contrast, anatomical boundaries, cell distributions, receptor fingerprints, connectivity profiles or meta-analyses, brain segmentation and parcellation methods have made a large impact on the analysis and interpretation of neuroimaging data. The goal of this special issue is to present critical reviews and new empirical papers on parcellation and segmentation techniques and their applications to improving our understanding of brain function and structure. This issue will be comprised of both invited and unsolicited contributions and relevant topic areas include, but are not limited to: • Segmentation approaches for brain extraction, white matter – grey matter differentiation, and lesion mapping. • Segmentation of challenging data sets (atrophy, lesions, baby/fetus brains, lifespan/longitudinal) • Structural, functional, cytoarchitectonic, connectivity and meta-analytic based approaches for parcellating distinct brain areas. • Improved data acquisition (e.g. high field) and analysis methods (e.g. multimodal approaches) for qualitative or quantitative delineation of brain areas (e.g., sub-thalamic nuclei, hippocampal subfields, cortical layers). • Applications of brain parcellation techniques to map inter-individual variation in phenotype, improve surgical planning, or improve data processing and analysis. • Brain parcellation in humans and animals, comparative anatomy. • Beyond parcellation: brain maps and the limits of the parcellated connectome model. • Spatiotemporal models for parcellation and segmentation Hosted by: R. Cameron Craddock, Brian Avants, Pierre Bellec, Saad Jbabdi Website: http://www.journals.elsevier.com/neuroim... Submission deadline: November 1st, 2016. |
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