Literature DB >> 21238595

Age-related alterations in the modular organization of structural cortical network by using cortical thickness from MRI.

Zhang J Chen1, Yong He, Pedro Rosa-Neto, Gaolang Gong, Alan C Evans.   

Abstract

Normal aging is accompanied by various cognitive functional declines. Recent studies have revealed disruptions in the coordination of large-scale functional brain networks such as the default mode network in advanced aging. However, organizational alterations of the structural brain network at the system level in aging are still poorly understood. Here, using cortical thickness, we investigated the modular organization of the cortical structural networks in 102 young and 97 normal aging adults. Brain networks for both cohorts displayed a modular organization overlapping with functional domains such as executive and auditory/language processing. However, compared with the modular organization of young adults, the aging group demonstrated a significantly reduced modularity that might be indicative of reduced functional segregation in the aging brain. More importantly, the aging brain network exhibited reduced intra-/inter-module connectivity in modules corresponding to the executive function and the default mode network of young adults, which might be associated with the decline of cognitive functions in aging. Finally, we observed age-associated alterations in the regional characterization in terms of their intra/inter-module connectivity. Our results indicate that aging is associated with an altered modular organization in the structural brain networks and provide new evidence for disrupted integrity in the large-scale brain networks that underlie cognition.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21238595     DOI: 10.1016/j.neuroimage.2011.01.010

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


  80 in total

Review 1.  The economy of brain network organization.

Authors:  Ed Bullmore; Olaf Sporns
Journal:  Nat Rev Neurosci       Date:  2012-04-13       Impact factor: 34.870

2.  Reorganization of Brain Networks in Aging and Age-related Diseases.

Authors:  Junfeng Sun; Shanbao Tong; Guo-Yuan Yang
Journal:  Aging Dis       Date:  2011-11-28       Impact factor: 6.745

3.  Alterations in Anatomical Covariance in the Prematurely Born.

Authors:  Dustin Scheinost; Soo Hyun Kwon; Cheryl Lacadie; Betty R Vohr; Karen C Schneider; Xenophon Papademetris; R Todd Constable; Laura R Ment
Journal:  Cereb Cortex       Date:  2017-01-01       Impact factor: 5.357

4.  Structural and Maturational Covariance in Early Childhood Brain Development.

Authors:  Xiujuan Geng; Gang Li; Zhaohua Lu; Wei Gao; Li Wang; Dinggang Shen; Hongtu Zhu; John H Gilmore
Journal:  Cereb Cortex       Date:  2017-03-01       Impact factor: 5.357

5.  Graph theoretical analysis reveals the reorganization of the brain network pattern in primary open angle glaucoma patients.

Authors:  Jieqiong Wang; Ting Li; Ningli Wang; Junfang Xian; Huiguang He
Journal:  Eur Radiol       Date:  2016-02-11       Impact factor: 5.315

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

Authors:  Feng Shi; Pew-Thian Yap; Wei Gao; Weili Lin; John H Gilmore; Dinggang Shen
Journal:  Neuroimage       Date:  2012-05-19       Impact factor: 6.556

7.  Predictors of coupling between structural and functional cortical networks in normal aging.

Authors:  Rafael Romero-Garcia; Mercedes Atienza; Jose L Cantero
Journal:  Hum Brain Mapp       Date:  2013-09-12       Impact factor: 5.038

8.  Graph-based network analysis in schizophrenia.

Authors:  Sifis Micheloyannis
Journal:  World J Psychiatry       Date:  2012-02-22

9.  Selective association between cortical thickness and reference abilities in normal aging.

Authors:  Seonjoo Lee; Christian Habeck; Qolamreza Razlighi; Timothy Salthouse; Yaakov Stern
Journal:  Neuroimage       Date:  2016-06-25       Impact factor: 6.556

10.  Structural covariance of the default network in healthy and pathological aging.

Authors:  R Nathan Spreng; Gary R Turner
Journal:  J Neurosci       Date:  2013-09-18       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.