Literature DB >> 34465598

Inner Hemispheric and Interhemispheric Connectivity Balance in the Human Brain.

Ronnie Krupnik1, Yossi Yovel2,3,4, Yaniv Assaf2,5.   

Abstract

The connectome of the brain has a great impact on the function of the brain as the structure of the connectome affects the speed and efficiency of information transfer. As a highly energy-consuming organ, an efficient network structure is essential. A previous study has shown consistent overall brain connectivity across a large variety of species. This connectivity conservation was explained by a balance between interhemispheric and intrahemispheric connections; that is, spices with highly connected hemispheres appear to have weaker interhemisphere connections. This study examines this connectivity trade-off in the human brain using diffusion-based tractography and network analysis in the Human Connectome Project (970 subjects, 527 female). We explore the biological origins of this phenomenon, heritability, and the effect on cognitive measures.The proportion of commissural fibers in the brain had a negative correlation to hemispheric efficiency, pointing to a trade-off between inner hemispheric and interhemispheric connectivity. Network hubs including anterior and middle cingulate cortex, superior frontal areas, medial occipital areas, the parahippocampal gyrus, post- and precentral gyri, and the precuneus had the strongest contribution to this phenomenon. Other results show a high heritability as well as a strong connection to crystalized intelligence. This work presents cohort-based network analysis research, spanning a large variety of samples and exploring the overall architecture of the human connectome. Our results show a connectivity conservation phenomenon at the base of the overall brain network architecture. This network structure may explain much of the functional, behavioral, and cognitive variability among different brains.SIGNIFICANCE STATEMENT The network structure of the brain is at the basis of every brain function as it dictates the characteristics of information transfer. Understanding the patterns and mechanisms that guide the connectome structure is crucial to understanding the brain itself. Here we unravel the mechanism at the base of the connectivity conservation phenomenon by exploring the interaction between hemispheric and commissural connectivity in a large-scale cohort-based connectivity study. We describe the trade-off between the two components and examine the origins of the trade-off and observe the effect on cognitive abilities and behavior.
Copyright © 2021 the authors.

Entities:  

Keywords:  MRI; connectivity; imaging; network; tractography

Mesh:

Year:  2021        PMID: 34465598      PMCID: PMC8496194          DOI: 10.1523/JNEUROSCI.1074-21.2021

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  74 in total

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Authors:  Sergei Maslov; Kim Sneppen
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Review 3.  Brain graphs: graphical models of the human brain connectome.

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4.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.

Authors:  J-Donald Tournier; Fernando Calamante; David G Gadian; Alan Connelly
Journal:  Neuroimage       Date:  2004-11       Impact factor: 6.556

5.  Connectomes from streamlines tractography: Assigning streamlines to brain parcellations is not trivial but highly consequential.

Authors:  Chun-Hung Yeh; Robert E Smith; Thijs Dhollander; Fernando Calamante; Alan Connelly
Journal:  Neuroimage       Date:  2019-05-11       Impact factor: 6.556

Review 6.  Genetics of the connectome.

Authors:  Paul M Thompson; Tian Ge; David C Glahn; Neda Jahanshad; Thomas E Nichols
Journal:  Neuroimage       Date:  2013-05-21       Impact factor: 6.556

Review 7.  Network Neuroscience Theory of Human Intelligence.

Authors:  Aron K Barbey
Journal:  Trends Cogn Sci       Date:  2017-11-20       Impact factor: 20.229

8.  Modular and hierarchically modular organization of brain networks.

Authors:  David Meunier; Renaud Lambiotte; Edward T Bullmore
Journal:  Front Neurosci       Date:  2010-12-08       Impact factor: 4.677

9.  Association of structural global brain network properties with intelligence in normal aging.

Authors:  Florian U Fischer; Dominik Wolf; Armin Scheurich; Andreas Fellgiebel
Journal:  PLoS One       Date:  2014-01-22       Impact factor: 3.240

10.  Cognitive abilities, brain white matter hyperintensity volume, and structural network connectivity in older age.

Authors:  Stewart J Wiseman; Tom Booth; Stuart J Ritchie; Simon R Cox; Susana Muñoz Maniega; Maria Del C Valdés Hernández; David Alexander Dickie; Natalie A Royle; John M Starr; Ian J Deary; Joanna M Wardlaw; Mark E Bastin
Journal:  Hum Brain Mapp       Date:  2017-11-14       Impact factor: 5.038

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  2 in total

1.  Functional cortical associations and their intraclass correlations and heritability as revealed by the fMRI Human Connectome Project.

Authors:  Peka Christova; Jasmine Joseph; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2022-03-15       Impact factor: 1.972

2.  A macroscopic link between interhemispheric tract myelination and cortico-cortical interactions during action reprogramming.

Authors:  Alberto Lazari; Piergiorgio Salvan; Lennart Verhagen; Michiel Cottaar; Daniel Papp; Olof Jens van der Werf; Bronwyn Gavine; James Kolasinski; Matthew Webster; Charlotte J Stagg; Matthew F S Rushworth; Heidi Johansen-Berg
Journal:  Nat Commun       Date:  2022-07-22       Impact factor: 17.694

  2 in total

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