Literature DB >> 30094605

PLP1 and CNTN1 gene variation modulates the microstructure of human white matter in the corpus callosum.

Catrona Anderson1,2, Wanda M Gerding3, Christoph Fraenz4, Caroline Schlüter4, Patrick Friedrich4, Maximilian Raane5, Larissa Arning3, Jörg T Epplen3,5, Onur Güntürkün4, Christian Beste6,7, Erhan Genç4, Sebastian Ocklenburg4.   

Abstract

The corpus callosum is the brain's largest commissural fiber tract and is crucial for interhemispheric integration of neural information. Despite the high relevance of the corpus callosum for several cognitive systems, the molecular determinants of callosal microstructure are largely unknown. Recently, it was shown that genetic variations in the myelin-related proteolipid 1 gene PLP1 and the axon guidance related contactin 1 gene CNTN1 were associated with differences in interhemispheric integration at the behavioral level. Here, we used an innovative new diffusion neuroimaging technique called neurite orientation dispersion and density imaging (NODDI) to quantify axonal morphology in subsections of the corpus callosum and link them to genetic variation in PLP1 and CNTN1. In a cohort of 263 healthy human adults, we found that polymorphisms in both PLP1 and CNTN1 were significantly associated with callosal microstructure. Importantly, we found a double dissociation between gene function and neuroimaging variables. Our results suggest that genetic variation in the myelin-related gene PLP1 impacts white matter microstructure in the corpus callosum, possibly by affecting myelin structure. In contrast, genetic variation in the axon guidance related gene CNTN1 impacts axon density in the corpus callosum. These findings suggest that PLP1 and CNTN1 gene variations modulate specific aspects of callosal microstructure that are in line with their gene function.

Entities:  

Keywords:  CNTN1; Corpus callosum; Myelin; NODDI; PLP1; White matter

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Year:  2018        PMID: 30094605     DOI: 10.1007/s00429-018-1729-7

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  2 in total

1.  Neurite orientation dispersion and density imaging of mouse brain microstructure.

Authors:  Nian Wang; Jieying Zhang; Gary Cofer; Yi Qi; Robert J Anderson; Leonard E White; G Allan Johnson
Journal:  Brain Struct Funct       Date:  2019-04-20       Impact factor: 3.270

2.  Machine Learning Identifies Six Genetic Variants and Alterations in the Heart Atrial Appendage as Key Contributors to PD Risk Predictivity.

Authors:  Daniel Ho; William Schierding; Sophie L Farrow; Antony A Cooper; Andreas W Kempa-Liehr; Justin M O'Sullivan
Journal:  Front Genet       Date:  2022-01-03       Impact factor: 4.599

  2 in total

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