Literature DB >> 22613620

Altered structural connectivity in neonates at genetic risk for schizophrenia: a combined study using morphological and white matter networks.

Feng Shi1, Pew-Thian Yap, Wei Gao, Weili Lin, John H Gilmore, Dinggang Shen.   

Abstract

Recently, an increasing body of evidence suggests that developmental abnormalities related to schizophrenia may occur as early as the neonatal stage. Impairments of brain gray matter and wiring problems of axonal fibers are commonly suspected to be responsible for the disconnection hypothesis in schizophrenia adults, but significantly less is known in neonates. In this study, we investigated 26 neonates who were at genetic risk for schizophrenia and 26 demographically matched healthy neonates using both morphological and white matter networks to examine possible brain connectivity abnormalities. The results showed that both populations exhibited small-world network topology. Morphological network analysis indicated that the brain structural associations of the high-risk neonates tended to have globally lower efficiency, longer connection distance, and less number of hub nodes and edges with relatively higher betweenness. Subgroup analysis showed that male neonates were significantly disease-affected, while the female neonates were not. White matter network analysis, however, showed that the fiber networks were globally unaffected, although several subcortical-cortical connections had significantly less number of fibers in high-risk neonates. This study provides new lines of evidence in support of the disconnection hypothesis, reinforcing the notion that the genetic risk of schizophrenia induces alterations in both gray matter structural associations and white matter connectivity.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22613620      PMCID: PMC3408572          DOI: 10.1016/j.neuroimage.2012.05.026

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  45 in total

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3.  Automatic segmentation of neonatal images using convex optimization and coupled level sets.

Authors:  Li Wang; Feng Shi; Weili Lin; John H Gilmore; Dinggang Shen
Journal:  Neuroimage       Date:  2011-07-05       Impact factor: 6.556

4.  Do inter-regional gray-matter volumetric correlations reflect altered functional connectivity in high-risk offspring of schizophrenia patients?

Authors:  Tejas S Bhojraj; Konasale M Prasad; Shaun M Eack; Alan N Francis; Debra M Montrose; Matcheri S Keshavan
Journal:  Schizophr Res       Date:  2010-02-19       Impact factor: 4.939

5.  Age- and gender-related differences in the cortical anatomical network.

Authors:  Gaolang Gong; Pedro Rosa-Neto; Felix Carbonell; Zhang J Chen; Yong He; Alan C Evans
Journal:  J Neurosci       Date:  2009-12-16       Impact factor: 6.167

6.  The structural brain correlates of neurological soft signs in AESOP first-episode psychoses study.

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7.  Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis.

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  66 in total

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Review 7.  Brain networks in schizophrenia.

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Journal:  Neuropsychol Rev       Date:  2014-02-06       Impact factor: 7.444

8.  Dynamic changes of functional segregation and integration in vulnerability and resilience to schizophrenia.

Authors:  Jia Duan; Mingrui Xia; Fay Y Womer; Miao Chang; Zhiyang Yin; Qian Zhou; Yue Zhu; Zhuang Liu; Xiaowei Jiang; Shengnan Wei; Francis Anthony O'Neill; Yong He; Yanqing Tang; Fei Wang
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9.  Uncertainty estimation in diffusion MRI using the nonlocal bootstrap.

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10.  Learning-based deformable registration for infant MRI by integrating random forest with auto-context model.

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