Literature DB >> 25016143

Morphological brain network assessed using graph theory and network filtration in deaf adults.

Eunkyung Kim1, Hyejin Kang2, Hyekyoung Lee3, Hyo-Jeong Lee4, Myung-Whan Suh5, Jae-Jin Song6, Seung-Ha Oh7, Dong Soo Lee8.   

Abstract

Prolonged deprivation of auditory input can change brain networks in pre- and postlingual deaf adults by brain-wide reorganization. To investigate morphological changes in these brains voxel-based morphometry, voxel-wise correlation with the primary auditory cortex, and whole brain network analyses using morphological covariance were performed in eight prelingual deaf, eleven postlingual deaf, and eleven hearing adults. Network characteristics based on graph theory and network filtration based on persistent homology were examined. Gray matter density in the primary auditor cortex was preserved in prelingual deafness, while it tended to decrease in postlingual deafness. Unlike postlingual, prelingual deafness showed increased bilateral temporal connectivity of the primary auditory cortex compared to the hearing adults. Of the graph theory-based characteristics, clustering coefficient, betweenness centrality, and nodal efficiency all increased in prelingual deafness, while all the parameters of postlingual deafness were similar to the hearing adults. Patterns of connected components changing during network filtration were different between prelingual deafness and hearing adults according to the barcode, dendrogram, and single linkage matrix representations, while these were the same in postlingual deafness. Nodes in fronto-limbic and left temporal components were closely coupled, and nodes in the temporo-parietal component were loosely coupled, in prelingual deafness. Patterns of connected components changing in postlingual deafness were the same as hearing adults. We propose that the preserved density of auditory cortex associated with increased connectivity in prelingual deafness, and closer coupling between certain brain areas, represent distinctive reorganization of auditory and related cortices compared with hearing or postlingual deaf adults. The differential network reorganization in the prelingual deaf adults could be related to the absence of auditory speech experience.
Copyright © 2014 Elsevier B.V. All rights reserved.

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Year:  2014        PMID: 25016143     DOI: 10.1016/j.heares.2014.06.007

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  20 in total

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2.  Functional and structural brain connectivity in congenital deafness.

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Review 3.  Structural neuroimaging of the altered brain stemming from pediatric and adolescent hearing loss-Scientific and clinical challenges.

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Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2019-12-04

Review 4.  Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.

Authors:  Danielle S Bassett; Ankit N Khambhati; Scott T Grafton
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5.  Increased MRI volumetric correlation contralateral to seizure focus in temporal lobe epilepsy.

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Journal:  Epilepsy Res       Date:  2016-07-02       Impact factor: 3.045

6.  Gating of memory encoding of time-delayed cross-frequency MEG networks revealed by graph filtration based on persistent homology.

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Journal:  Sci Rep       Date:  2017-02-07       Impact factor: 4.379

7.  Topographical functional connectivity patterns exist in the congenitally, prelingually deaf.

Authors:  Ella Striem-Amit; Jorge Almeida; Mario Belledonne; Quanjing Chen; Yuxing Fang; Zaizhu Han; Alfonso Caramazza; Yanchao Bi
Journal:  Sci Rep       Date:  2016-07-18       Impact factor: 4.379

8.  Congenital blindness is associated with large-scale reorganization of anatomical networks.

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Journal:  Neuroimage       Date:  2016-01-05       Impact factor: 6.556

9.  Functional Reorganizations of Brain Network in Prelingually Deaf Adolescents.

Authors:  Wenjing Li; Jianhong Li; Jieqiong Wang; Peng Zhou; Zhenchang Wang; Junfang Xian; Huiguang He
Journal:  Neural Plast       Date:  2015-12-27       Impact factor: 3.599

Review 10.  Two's company, three (or more) is a simplex : Algebraic-topological tools for understanding higher-order structure in neural data.

Authors:  Chad Giusti; Robert Ghrist; Danielle S Bassett
Journal:  J Comput Neurosci       Date:  2016-06-11       Impact factor: 1.621

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