Interhemispheric connectivity endures across species: An allometric exposé on the corpus callosum
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[1] Jan Karbowski,et al. How Does Connectivity Between Cortical Areas Depend on Brain Size? Implications for Efficient Computation , 2003, Journal of Computational Neuroscience.
[2] Martin I Sereno,et al. The relation between connection length and degree of connectivity in young adults: a DTI analysis. , 2009, Cerebral cortex.
[3] J TOMASCH,et al. Size, distribution, and number of fibres in the human Corpus Callosum , 1954, The Anatomical record.
[4] Jesper Andersson,et al. A multi-modal parcellation of human cerebral cortex , 2016, Nature.
[5] D. Margulies,et al. Regional Variation in Interhemispheric Coordination of Intrinsic Hemodynamic Fluctuations , 2008, The Journal of Neuroscience.
[6] P. Matthis,et al. EEG development of healthy boys and girls. Results of a longitudinal study. , 1984, Electroencephalography and clinical neurophysiology.
[7] Francisco Aboitiz,et al. Species Differences and Similarities in the Fine Structure of the Mammalian Corpus callosum , 2001, Brain, Behavior and Evolution.
[8] G M Innocenti,et al. The development of the corpus callosum in cats: A light‐ and electron‐ microscopic study , 1988, The Journal of comparative neurology.
[9] G. Yovel,et al. In vivo correlation between axon diameter and conduction velocity in the human brain , 2014, Brain Structure and Function.
[10] T. Insel,et al. Differential expansion of neural projection systems in primate brain evolution. , 1999, Neuroreport.
[11] L. Petitto,et al. The “Perceptual Wedge Hypothesis” as the basis for bilingual babies’ phonetic processing advantage: New insights from fNIRS brain imaging , 2012, Brain and Language.
[12] J Luttenberg. Contribution to the fetal ontogenesis of the corpus callosum in man. 3. Myelinization in the corpus callosum. , 1966, Folia morphologica.
[13] R. Caminiti,et al. Evolution amplified processing with temporally dispersed slow neuronal connectivity in primates , 2009, Proceedings of the National Academy of Sciences.
[14] T. Insel,et al. The primate neocortex in comparative perspective using magnetic resonance imaging. , 1999, Journal of human evolution.
[15] Garrison W. Cottrell,et al. Uniquely human developmental timing may drive cerebral lateralization and interhemispheric coupling , 2013, CogSci.
[16] D. McVea,et al. Mirrored Bilateral Slow-Wave Cortical Activity within Local Circuits Revealed by Fast Bihemispheric Voltage-Sensitive Dye Imaging in Anesthetized and Awake Mice , 2010, The Journal of Neuroscience.
[17] Mark A. Changizi,et al. Principles underlying mammalian neocortical scaling , 2001, Biological Cybernetics.
[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] T. Sejnowski,et al. A universal scaling law between gray matter and white matter of cerebral cortex. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[20] B. Finlay,et al. Developmental structure in brain evolution , 2001, Behavioral and Brain Sciences.
[21] J. Kaas,et al. White matter volume and white/gray matter ratio in mammalian species as a consequence of the universal scaling of cortical folding , 2019, Proceedings of the National Academy of Sciences.
[22] Bente Pakkenberg,et al. Age-related degeneration of corpus callosum in the 90+ years measured with stereology , 2012, Neurobiology of Aging.
[23] Nikola T. Markov,et al. Weight Consistency Specifies Regularities of Macaque Cortical Networks , 2010, Cerebral cortex.
[24] P. Rakić,et al. Axon overproduction and elimination in the corpus callosum of the developing rhesus monkey , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[25] P. Rakić,et al. Cytological and quantitative characteristics of four cerebral commissures in the rhesus monkey , 1990, The Journal of comparative neurology.
[26] R. Caminiti,et al. The diameter of cortical axons depends both on the area of origin and target. , 2014, Cerebral cortex.
[27] S H Ridgway,et al. Corpus callosum size in delphinid cetaceans. , 1994, Brain, behavior and evolution.
[28] G. Buzsáki,et al. The log-dynamic brain: how skewed distributions affect network operations , 2014, Nature Reviews Neuroscience.
[29] D. B. Tower,et al. Structural and functional organization of mammalian cerebral cortex: The correlation of neurone density with brain size. Cortical neurone density in the fin whale (Balaenoptera Physalus L.) with a note on the cortical neurone density in the Indian elephant , 1954, The Journal of comparative neurology.
[30] Patrick R Hof,et al. The corpus callosum in primates: processing speed of axons and the evolution of hemispheric asymmetry , 2015, Proceedings of the Royal Society B: Biological Sciences.
[31] James A. Reggia,et al. Hemispheric specialization and independence for word recognition: A comparison of three computational models , 2004, Brain and Language.
[32] Henry Kennedy,et al. Cortical High-Density Counterstream Architectures , 2013, Science.
[33] Francisco Aboitiz,et al. Cross-Species and Intraspecies Morphometric Analysis of the Corpus Callosum , 2000, Brain, Behavior and Evolution.
[34] M. Gazzaniga. Cerebral specialization and interhemispheric communication: does the corpus callosum enable the human condition? , 2000, Brain : a journal of neurology.
[35] James K. Rilling,et al. Comparative primate neuroimaging: insights into human brain evolution , 2014, Trends in Cognitive Sciences.
[36] Bente Pakkenberg,et al. Stereological estimation of the total number of myelinated callosal fibers in human subjects , 2011, Journal of anatomy.
[37] Stefan Everling,et al. Stable long-range interhemispheric coordination is supported by direct anatomical projections , 2015, Proceedings of the National Academy of Sciences.
[38] E. Bullmore,et al. Neurophysiological architecture of functional magnetic resonance images of human brain. , 2005, Cerebral cortex.
[39] April A. Benasich,et al. Oscillatory support for rapid frequency change processing in infants , 2013, Neuropsychologia.
[40] Timothy E. J. Behrens,et al. The evolution of the arcuate fasciculus revealed with comparative DTI , 2008, Nature Neuroscience.
[41] J. Kaas,et al. Connectivity-driven white matter scaling and folding in primate cerebral cortex , 2010, Proceedings of the National Academy of Sciences.
[42] Asymmetry and Symmetry in Brain Waves from Dolphin Left and Right Hemispheres: Some Observations after Anesthesia, during Quiescent Hanging Behavior, and during Visual Obstruction , 2002, Brain, Behavior and Evolution.
[43] Patrice Y. Simard,et al. Time is of the essence: a conjecture that hemispheric specialization arises from interhemispheric conduction delay. , 1994, Cerebral cortex.
[44] J. Juraska,et al. Sex differences in the development of axon number in the splenium of the rat corpus callosum from postnatal day 15 through 60. , 1997, Brain research. Developmental brain research.
[45] A. Scheibel,et al. Fiber composition of the human corpus callosum , 1992, Brain Research.
[46] M. Changizi,et al. Brain Scaling Laws , 2009 .
[47] S. Shimojo,et al. Parcellation and Area-Area Connectivity as a Function of Neocortex Size , 2005, Brain, Behavior and Evolution.
[48] N. Logothetis,et al. Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms , 2013, Neuron.
[49] Bruno Mota,et al. Different scaling of white matter volume, cortical connectivity, and gyrification across rodent and primate brains , 2013, Front. Neuroanat..
[50] F. Aboitiz,et al. One hundred million years of interhemispheric communication: the history of the corpus callosum. , 2003, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas.
[51] Patrick R Hof,et al. Functional Trade-Offs in White Matter Axonal Scaling , 2008, The Journal of Neuroscience.