Literature DB >> 22724079

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

Junfeng Sun1, Shanbao Tong, Guo-Yuan Yang.   

Abstract

Aging is associated with reorganization of brain in both structure and function. In recent years, graph theoretical analysis of brain organization has drawn increasing attention, and reorganization of brain in aging has been investigated in terms of connectivity and networks in topology such as modular organization, global and local efficiency, and small-worldness. Beyond studying on abnormity in local brain regions, connectivity quantifies alternations of correlation between two regions that may be spatially far separated, and graph theoretical analysis of brain network examines the complex interactions among multiple regions. This article reviewed complex brain networks of human in normal aging or with age-related diseases such as stroke and Alzheimer's disease after a technical introduction of brain networks and graph theoretical analysis. We further discussed the relationship between the functional and the structural brain networks of subjects in aging or with age-related diseases. Finally, we proposed several interesting topics for future research in this field.

Entities:  

Keywords:  Aging; Brain network; Connectivity; Functional; Neuroimaging; Small-world; Structural

Year:  2011        PMID: 22724079      PMCID: PMC3377830     

Source DB:  PubMed          Journal:  Aging Dis        ISSN: 2152-5250            Impact factor:   6.745


  104 in total

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2.  Structural covariance in the human cortex.

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3.  Revealing modular architecture of human brain structural networks by using cortical thickness from MRI.

Authors:  Zhang J Chen; Yong He; Pedro Rosa-Neto; Jurgen Germann; Alan C Evans
Journal:  Cereb Cortex       Date:  2008-02-10       Impact factor: 5.357

4.  Functional and structural correlates of the aging brain: relating visual cortex (V1) gamma band responses to age-related structural change.

Authors:  William Gaetz; Timothy P L Roberts; Krish D Singh; Suresh D Muthukumaraswamy
Journal:  Hum Brain Mapp       Date:  2011-07-18       Impact factor: 5.038

5.  Modern Biological Theories of Aging.

Authors:  Kunlin Jin
Journal:  Aging Dis       Date:  2010-10-01       Impact factor: 6.745

Review 6.  Structural brain networks and neuropsychiatric disorders.

Authors:  Wei Wen; Yong He; Perminder Sachdev
Journal:  Curr Opin Psychiatry       Date:  2011-05       Impact factor: 4.741

7.  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

8.  Functional implications of age differences in motor system connectivity.

Authors:  Jeanne Langan; Scott J Peltier; Jin Bo; Brett W Fling; Robert C Welsh; Rachael D Seidler
Journal:  Front Syst Neurosci       Date:  2010-06-07

9.  Abnormal cortical networks in mild cognitive impairment and Alzheimer's disease.

Authors:  Zhijun Yao; Yuanchao Zhang; Lei Lin; Yuan Zhou; Cunlu Xu; Tianzi Jiang
Journal:  PLoS Comput Biol       Date:  2010-11-18       Impact factor: 4.475

10.  Age-related networks of regional covariance in MRI gray matter: reproducible multivariate patterns in healthy aging.

Authors:  Kaitlin L Bergfield; Krista D Hanson; Kewei Chen; Stefan J Teipel; Harald Hampel; Stanley I Rapoport; James R Moeller; Gene E Alexander
Journal:  Neuroimage       Date:  2009-09-28       Impact factor: 6.556

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  26 in total

1.  Intrinsic brain activity of cognitively normal older persons resembles more that of patients both with and at risk for Alzheimer's disease than that of healthy younger persons.

Authors:  Lorenzo Pasquini; Annika Tonch; Claudia Plant; Andrew Zherdin; Marion Ortner; Alexander Kurz; Hans Förstl; Claus Zimmer; Timo Grimmer; Afra Wohlschäger; Valentin Riedl; Christian Sorg
Journal:  Brain Connect       Date:  2014-06

2.  Optical imaging of resting-state functional connectivity in a novel arterial stiffness model.

Authors:  Edgar Guevara; Nataliya Sadekova; Hélène Girouard; Frédéric Lesage
Journal:  Biomed Opt Express       Date:  2013-10-04       Impact factor: 3.732

3.  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

4.  Brain network alterations and vulnerability to simulated neurodegeneration in breast cancer.

Authors:  Shelli R Kesler; Christa L Watson; Douglas W Blayney
Journal:  Neurobiol Aging       Date:  2015-05-01       Impact factor: 4.673

5.  Predicting Patient Reported Outcomes of Cognitive Function Using Connectome-Based Predictive Modeling in Breast Cancer.

Authors:  Ashley M Henneghan; Chris Gibbons; Rebecca A Harrison; Melissa L Edwards; Vikram Rao; Douglas W Blayney; Oxana Palesh; Shelli R Kesler
Journal:  Brain Topogr       Date:  2019-11-19       Impact factor: 3.020

6.  Estimating individual contribution from group-based structural correlation networks.

Authors:  Manish Saggar; S M Hadi Hosseini; Jennifer L Bruno; Eve-Marie Quintin; Mira M Raman; Shelli R Kesler; Allan L Reiss
Journal:  Neuroimage       Date:  2015-07-08       Impact factor: 6.556

7.  Functional connectome biotypes of chemotherapy-related cognitive impairment.

Authors:  Shelli R Kesler; Melissa L Petersen; Vikram Rao; Rebecca A Harrison; Oxana Palesh
Journal:  J Cancer Surviv       Date:  2020-03-10       Impact factor: 4.442

8.  Comparing connectivity pattern and small-world organization between structural correlation and resting-state networks in healthy adults.

Authors:  S M Hadi Hosseini; Shelli R Kesler
Journal:  Neuroimage       Date:  2013-04-19       Impact factor: 6.556

Review 9.  Physiologic complexity and aging: implications for physical function and rehabilitation.

Authors:  Brad Manor; Lewis A Lipsitz
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2012-09-15       Impact factor: 5.067

10.  The association of genetic polymorphisms with neuroconnectivity in breast cancer patients.

Authors:  Rebecca A Harrison; Vikram Rao; Shelli R Kesler
Journal:  Sci Rep       Date:  2021-03-17       Impact factor: 4.379

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