Cytoarchitectonic similarity is a wiring principle of the human connectome
暂无分享,去创建一个
Martijn P. van den Heuvel | René Werner | Claus C. Hilgetag | Sarah F. Beul | Alexandros Goulas | Lazaros C. Triarhou | C. Hilgetag | S. Beul | A. Goulas | L. Triarhou | Dennis Saering | Dennis Saering | René Werner | M. P. Heuvel
[1] G. Smith,et al. Die Cytoarchitektonik der Hirnrinde des erwachsenen Menschen. , 1927 .
[2] Essa Yacoub,et al. The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.
[3] Claus C. Hilgetag,et al. Principles of ipsilateral and contralateral cortico-cortical connectivity in the mouse , 2015, Brain Structure and Function.
[4] Claus C. Hilgetag,et al. Cytoarchitectural differences are a key determinant of laminar projection origins in the visual cortex , 2010, NeuroImage.
[5] Michael Petrides,et al. Distinct Parietal and Temporal Connectivity Profiles of Ventrolateral Frontal Areas Involved in Language Production , 2013, The Journal of Neuroscience.
[6] J. Rapoport,et al. Simple models of human brain functional networks , 2012, Proceedings of the National Academy of Sciences.
[7] Gustavo Deco,et al. Rich club organization supports a diverse set of functional network configurations , 2014, NeuroImage.
[8] Timothy O. Laumann,et al. Functional Network Organization of the Human Brain , 2011, Neuron.
[9] C C Hilgetag,et al. Quantitative architecture distinguishes prefrontal cortical systems in the rhesus monkey. , 2001, Cerebral cortex.
[10] C. Hilgetag,et al. A predictive model of the cat cortical connectome based on cytoarchitecture and distance , 2014, Brain Structure and Function.
[11] D. Leopold,et al. Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited , 2014, Proceedings of the National Academy of Sciences.
[12] H. Barbas,et al. Diversity of laminar connections linking periarcuate and lateral intraparietal areas depends on cortical structure , 2006, The European journal of neuroscience.
[13] H. Barbas. General cortical and special prefrontal connections: principles from structure to function. , 2015, Annual review of neuroscience.
[14] P. B. Cipolloni,et al. Cerebral Cortex: Architecture, Connections, and the Dual Origin Concept , 2015 .
[15] Nikos Makris,et al. Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.
[16] P. Rakic. Progress: Neurogenesis in adult primate neocortex: an evaluation of the evidence , 2002, Nature Reviews Neuroscience.
[17] Anders M. Dale,et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.
[18] Chad J. Donahue,et al. Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey , 2016, The Journal of Neuroscience.
[19] Simon B. Eickhoff,et al. A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data , 2005, NeuroImage.
[20] F. Sanides. Die Architektonik des Menschlichen Stirnhirns , 1962 .
[21] M. P. van den Heuvel,et al. Linking contemporary high resolution magnetic resonance imaging to the von economo legacy: A study on the comparison of MRI cortical thickness and histological measurements of cortical structure , 2015, Human brain mapping.
[22] R. Caminiti,et al. Areal differences in diameter and length of corticofugal projections. , 2012, Cerebral Cortex.
[23] Thomas Nowotny,et al. Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity , 2014, PLoS Comput. Biol..
[24] Luciano da Fontoura Costa,et al. Predicting the connectivity of primate cortical networks from topological and spatial node properties , 2007, BMC Systems Biology.
[25] Claus C Hilgetag,et al. Bridging Cytoarchitectonics and Connectomics in Human Cerebral Cortex , 2015, The Journal of Neuroscience.
[26] Ruben Schmidt,et al. Linking Macroscale Graph Analytical Organization to Microscale Neuroarchitectonics in the Macaque Connectome , 2014, The Journal of Neuroscience.
[27] A. Campbell. Histological Studies on the Localisation of Cerebral Function , 2009 .
[28] Martijn P. van den Heuvel,et al. Estimating false positives and negatives in brain networks , 2013, NeuroImage.
[29] Gorka Zamora-López,et al. Cortical Hubs Form a Module for Multisensory Integration on Top of the Hierarchy of Cortical Networks , 2009, Front. Neuroinform..
[30] Claus C. Hilgetag,et al. A Predictive Structural Model of the Primate Connectome , 2015, Scientific Reports.
[31] A M Dale,et al. Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[32] D. Pandya,et al. Architecture and Connections of Cortical Association Areas , 1985 .
[33] O. Sporns,et al. Network hubs in the human brain , 2013, Trends in Cognitive Sciences.
[34] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.
[35] D. Pandya,et al. Prefrontal cortex in relation to other cortical areas in rhesus monkey: architecture and connections. , 1990, Progress in brain research.
[36] O. Sporns,et al. Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.
[37] Alan C. Evans,et al. BigBrain: An Ultrahigh-Resolution 3D Human Brain Model , 2013, Science.
[38] Paul H. E. Tiesinga,et al. The missing link: Predicting connectomes from noisy and partially observed tract tracing data , 2016, bioRxiv.
[39] E. Bullmore,et al. Wiring cost and topological participation of the mouse brain connectome , 2015, Proceedings of the National Academy of Sciences.
[40] Edward T. Bullmore,et al. Neuroinformatics Original Research Article , 2022 .
[41] Xiaoping Hu,et al. The effects of connection reconstruction method on the interregional connectivity of brain networks via diffusion tractography , 2012, Human brain mapping.
[42] Jon H Kaas. Cortical Areas and Patterns of Cortico-Cortical Connections , 2002 .
[43] J. Rilling,et al. Comparison of diffusion tractography and tract‐tracing measures of connectivity strength in rhesus macaque connectome , 2015, Human brain mapping.
[44] K. Brodmann. Vergleichende Lokalisationslehre der Großhirnrinde : in ihren Prinzipien dargestellt auf Grund des Zellenbaues , 1985 .
[45] Olaf Sporns,et al. Generative models of the human connectome , 2015, NeuroImage.
[46] H. Barbas,et al. Parallel organization of contralateral and ipsilateral prefrontal cortical projections in the rhesus monkey , 2005, BMC Neuroscience.
[47] Marcus Kaiser,et al. Nonoptimal Component Placement, but Short Processing Paths, due to Long-Distance Projections in Neural Systems , 2006, PLoS Comput. Biol..
[48] M. A. Macconaill. Die Architektonik des menschlichen Stirnhirns , 1963 .
[49] Barbara L Finlay,et al. Systematic, cross-cortex variation in neuron numbers in rodents and primates. , 2015, Cerebral cortex.
[50] Timothy E. J. Behrens,et al. The topographic connectome , 2013, Current Opinion in Neurobiology.
[51] E. Bullmore,et al. The hubs of the human connectome are generally implicated in the anatomy of brain disorders , 2014, Brain : a journal of neurology.
[52] C. Economo,et al. Die Cytoarchitektonik der Hirnrinde des erwachsenen Menschen , 1925 .