Literature DB >> 27345586

Periventricular White Matter Is a Nexus for Network Connectivity in the Human Brain.

Julia P Owen1, Maxwell B Wang1, Pratik Mukherjee1.   

Abstract

The edges of the structural connectome traverse the white matter to connect cortical and subcortical nodes, although the anatomic embedding of these edges is generally overlooked in the literature. Characterization of the geometry of the structural connectome could provide an improved understanding of the relative importance of various white matter regions to the network architecture of the human brain in normal development and aging, as well as in white matter diseases with regionally specific patterns of vulnerability. Edge density imaging (EDI) has previously been used to show that the posterior periventricular white matter contains a disproportionately large number of connectome edges. In this study, the regional distribution of connectome edges within cerebral white matter, including the importance of posterior periventricular white matter, is further investigated and demonstrated to be invariant to different gray matter parcellations and different diffusion MRI acquisition and postprocessing/tractography methods. An examination of the highest k-core edges and a virtual lesion analysis illuminate hemispheric asymmetries (left>right) in the embedding of connectome edges. Therefore, EDI reveals specific areas of vulnerability within the white matter connectivity of the human brain, especially in the periventricular white matter. The idea of a periventricular nexus fits with the known neurobiology of brain development and may result from simple geometrical considerations in minimizing wiring cost in structural brain connectivity.

Entities:  

Keywords:  anatomic connectivity; brain connectivity; brain networks; connectome; white matter

Mesh:

Year:  2016        PMID: 27345586     DOI: 10.1089/brain.2016.0431

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  8 in total

1.  Connectome mapping with edge density imaging differentiates pediatric mild traumatic brain injury from typically developing controls: proof of concept.

Authors:  Cyrus A Raji; Maxwell B Wang; NhuNhu Nguyen; Julia P Owen; Eva M Palacios; Esther L Yuh; Pratik Mukherjee
Journal:  Pediatr Radiol       Date:  2020-06-30

Review 2.  Delineation of early brain development from fetuses to infants with diffusion MRI and beyond.

Authors:  Minhui Ouyang; Jessica Dubois; Qinlin Yu; Pratik Mukherjee; Hao Huang
Journal:  Neuroimage       Date:  2018-04-12       Impact factor: 6.556

3.  The evolution of white matter microstructural changes after mild traumatic brain injury: A longitudinal DTI and NODDI study.

Authors:  E M Palacios; J P Owen; E L Yuh; M B Wang; M J Vassar; A R Ferguson; R Diaz-Arrastia; J T Giacino; D O Okonkwo; C S Robertson; M B Stein; N Temkin; S Jain; M McCrea; C L MacDonald; H S Levin; G T Manley; P Mukherjee
Journal:  Sci Adv       Date:  2020-08-07       Impact factor: 14.136

4.  The Case for Optimized Edge-Centric Tractography at Scale.

Authors:  Joseph Y Moon; Pratik Mukherjee; Ravi K Madduri; Amy J Markowitz; Lanya T Cai; Eva M Palacios; Geoffrey T Manley; Peer-Timo Bremer
Journal:  Front Neuroinform       Date:  2022-05-16       Impact factor: 3.739

5.  Identifying brain regions supporting amygdalar functionality: Application of a novel graph theory technique.

Authors:  Melanie A Matyi; Sebastian M Cioaba; Marie T Banich; Jeffrey M Spielberg
Journal:  Neuroimage       Date:  2021-09-25       Impact factor: 6.556

6.  Cognitive impairment after focal brain lesions is better predicted by damage to structural than functional network hubs.

Authors:  Justin Reber; Kai Hwang; Mark Bowren; Joel Bruss; Pratik Mukherjee; Daniel Tranel; Aaron D Boes
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-11       Impact factor: 12.779

7.  Brain network eigenmodes provide a robust and compact representation of the structural connectome in health and disease.

Authors:  Maxwell B Wang; Julia P Owen; Pratik Mukherjee; Ashish Raj
Journal:  PLoS Comput Biol       Date:  2017-06-22       Impact factor: 4.475

8.  Differential effects of alcohol-drinking patterns on the structure and function of the brain and cognitive performance in young adult drinkers: A pilot study.

Authors:  Xiaobing Guo; Tongjun Yan; Min Chen; Xiaoyan Ma; Ranli Li; Bo Li; Anqu Yang; Yuhui Chen; Tao Fang; Haiping Yu; Hongjun Tian; Guangdong Chen; Chuanjun Zhuo
Journal:  Brain Behav       Date:  2021-11-22       Impact factor: 2.708

  8 in total

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