Literature DB >> 18552356

The relation between connection length and degree of connectivity in young adults: a DTI analysis.

John D Lewis1, Rebecca J Theilmann, Martin I Sereno, Jeanne Townsend.   

Abstract

Using diffusion tensor imaging and tractography to detail the patterns of interhemispheric connectivity and to determine the length of the connections, and formulae based on histological results to estimate degree of connectivity, we show that connection length is negatively correlated with degree of connectivity in the normal adult brain. The degree of interhemispheric connectivity--the ratio of interhemispheric connections to total corticocortical projection neurons--was estimated for each of 5 subregions of the corpus callosum in 22 normal males between 20 and 45 years of age (mean 31.68; standard deviation 8.75), and the average length of the longest tracts passing through each point of each subregion was calculated. Regression analyses were used to assess the relation between connection length and the degree of connectivity. Connection length was negatively correlated with degree of connectivity in all 5 subregions, and the regression was significant in 4 of the 5, with an average r(2) of 0.255. This is contrasted with previous analyses of the relation between brain size and connectivity, and connection length is shown to be a superior predictor. The results support the hypothesis that cortical networks are optimized to reduce conduction delays and cellular costs.

Mesh:

Year:  2008        PMID: 18552356      PMCID: PMC2638815          DOI: 10.1093/cercor/bhn105

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  65 in total

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Journal:  Brain Behav Evol       Date:  1985       Impact factor: 1.808

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Authors:  Olaf Sporns; Jonathan D Zwi
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  22 in total

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Authors:  C J Honey; O Sporns; L Cammoun; X Gigandet; J P Thiran; R Meuli; P Hagmann
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2.  Predictors of coupling between structural and functional cortical networks in normal aging.

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Journal:  Hum Brain Mapp       Date:  2013-09-12       Impact factor: 5.038

3.  Information processing architecture of functionally defined clusters in the macaque cortex.

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Review 4.  A Comparison of Structural Brain Imaging Findings in Autism Spectrum Disorder and Attention-Deficit Hyperactivity Disorder.

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5.  Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states.

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Journal:  Commun Biol       Date:  2021-02-16

6.  Callosal fiber length and interhemispheric connectivity in adults with autism: brain overgrowth and underconnectivity.

Authors:  John D Lewis; Rebecca J Theilmann; Vladimir Fonov; Pierre Bellec; Alan Lincoln; Alan C Evans; Jeanne Townsend
Journal:  Hum Brain Mapp       Date:  2012-02-22       Impact factor: 5.038

7.  Modulation of EEG functional connectivity networks in subjects undergoing repetitive transcranial magnetic stimulation.

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Journal:  Brain Topogr       Date:  2013-03-08       Impact factor: 3.020

Review 8.  Compared to what? Early brain overgrowth in autism and the perils of population norms.

Authors:  Armin Raznahan; Gregory L Wallace; Ligia Antezana; Dede Greenstein; Rhoshel Lenroot; Audrey Thurm; Marta Gozzi; Sarah Spence; Alex Martin; Susan E Swedo; Jay N Giedd
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Authors:  Roberto Caminiti; Hassan Ghaziri; Ralf Galuske; Patrick R Hof; Giorgio M Innocenti
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-29       Impact factor: 11.205

10.  Neuroanatomical and cognitive mediators of age-related differences in perceptual priming and learning.

Authors:  Kristen M Kennedy; Karen M Rodrigue; Denise Head; Faith Gunning-Dixon; Naftali Raz
Journal:  Neuropsychology       Date:  2009-07       Impact factor: 3.295

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