Interhemispheric connectivity endures across species: An allometric exposé on the corpus callosum

Rilling & Insel have argued that in primates, bigger brains have proportionally fewer anatomical interhemispheric connections, leading to reduced functional connectivity between the hemispheres (1). They based this on a comparison between surface areas of the corpus callosum and cortex rather than estimating connection counts, while leaving out other quantities also dependent on brain size such as callosal fiber density, neuron density, and number of functional areas. We use data from the literature to directly estimate connection counts. First, we estimate callosal fiber density as a function of brain size. We validate this by comparing out-of-sample human data to our function’s estimate. We then mine the literature to obtain function estimates for all other quantities, and use them to estimate intra- and interhemispheric white matter connection counts as a function of brain size. The results show a much larger decrease in the scaling of interhemispheric to intrahemispheric connections than previously estimated. However, we hypothesize that raw connection counts are the wrong quantity to be estimating when considering functional connectivity. Instead, we hypothesize that functional connectivity is related to connection counts relative to the number of cortical areas. Accordingly, we estimate inter-area connection counts for intra- and interhemispheric connectivity and find no difference in how they scale with brain size. We find that, on average, an interhemispheric inter-area connection contains 3-8x more connections than an intrahemispheric inter-area connection, regardless of brain size. In doing so, we find that the fiber count of the human corpus callosum has been underestimated by 20%. Significance Statement There are arguments in the literature that larger brains have proportionally fewer interhemispheric connections. We find that the decrease is even larger than previously estimated. However, we argue that this quantity is the wrong thing to measure: Rather, we should measure functional connectivity between cortical areas. We show that the ratio of interhemispheric and intrahemispheric connectivity between cortical areas is constant across mammalian species. These findings are consistent with a growing literature that suggest interhemispheric connectivity is special across all primate species.

[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.