Literature DB >> 21159959

Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer's disease.

Chun-Yi Lo1, Pei-Ning Wang, Kun-Hsien Chou, Jinhui Wang, Yong He, Ching-Po Lin.   

Abstract

Recent research on Alzheimer's disease (AD) has shown that the decline of cognitive and memory functions is accompanied by a disrupted neuronal connectivity characterized by white matter (WM) degeneration. However, changes in the topological organization of WM structural network in AD remain largely unknown. Here, we used diffusion tensor image tractography to construct the human brain WM networks of 25 AD patients and 30 age- and sex-matched healthy controls, followed by a graph theoretical analysis. We found that both AD patients and controls had a small-world topology in WM network, suggesting an optimal balance between structurally segregated and integrative organization. More important, the AD patients exhibited increased shortest path length and decreased global efficiency in WM network compared with controls, implying abnormal topological organization. Furthermore, we showed that the WM network contained highly connected hub regions that were predominately located in the precuneus, cingulate cortex, and dorsolateral prefrontal cortex, which was consistent with the previous diffusion-MRI studies. Specifically, AD patients were found to have reduced nodal efficiency predominantly located in the frontal regions. Finally, we showed that the alterations of various network properties were significantly correlated with the behavior performances. Together, the present study demonstrated for the first time that the Alzheimer's brain was associated with disrupted topological organization in the large-scale WM structural networks, thus providing the structural evidence for abnormalities of systematic integrity in this disease. This work could also have implications for understanding how the abnormalities of structural connectivity in AD underlie behavioral deficits in the patients.

Entities:  

Mesh:

Year:  2010        PMID: 21159959      PMCID: PMC6634928          DOI: 10.1523/JNEUROSCI.4136-10.2010

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  234 in total

1.  Structural connectivity abnormality in children with acute mild traumatic brain injury using graph theoretical analysis.

Authors:  Weihong Yuan; Shari L Wade; Lynn Babcock
Journal:  Hum Brain Mapp       Date:  2014-11-03       Impact factor: 5.038

2.  Structural network alterations and neurological dysfunction in cerebral amyloid angiopathy.

Authors:  Yael D Reijmer; Panagiotis Fotiadis; Sergi Martinez-Ramirez; David H Salat; Aaron Schultz; Ashkan Shoamanesh; Alison M Ayres; Anastasia Vashkevich; Diana Rosas; Kristin Schwab; Alexander Leemans; Geert-Jan Biessels; Jonathan Rosand; Keith A Johnson; Anand Viswanathan; M Edip Gurol; Steven M Greenberg
Journal:  Brain       Date:  2014-11-02       Impact factor: 13.501

Review 3.  The economy of brain network organization.

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

Review 4.  The brain as a complex system: using network science as a tool for understanding the brain.

Authors:  Qawi K Telesford; Sean L Simpson; Jonathan H Burdette; Satoru Hayasaka; Paul J Laurienti
Journal:  Brain Connect       Date:  2011

5.  Structural network topology revealed by white matter tractography in cannabis users: a graph theoretical analysis.

Authors:  Dae-Jin Kim; Patrick D Skosnik; Hu Cheng; Ben J Pruce; Margaret S Brumbaugh; Jennifer M Vollmer; William P Hetrick; Brian F O'Donnell; Olaf Sporns; Aina Puce; Sharlene D Newman
Journal:  Brain Connect       Date:  2012-02-24

6.  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

7.  Circular representation of human cortical networks for subject and population-level connectomic visualization.

Authors:  Andrei Irimia; Micah C Chambers; Carinna M Torgerson; John D Van Horn
Journal:  Neuroimage       Date:  2012-01-28       Impact factor: 6.556

Review 8.  Biomarker modelling of early molecular changes in Alzheimer's disease.

Authors:  Ross W Paterson; Jamie Toombs; Catherine F Slattery; Jonathan M Schott; Henrik Zetterberg
Journal:  Mol Diagn Ther       Date:  2014-04       Impact factor: 4.074

9.  Children's intellectual ability is associated with structural network integrity.

Authors:  Dae-Jin Kim; Elysia Poggi Davis; Curt A Sandman; Olaf Sporns; Brian F O'Donnell; Claudia Buss; William P Hetrick
Journal:  Neuroimage       Date:  2015-09-15       Impact factor: 6.556

10.  Functional connectivity and graph theory in preclinical Alzheimer's disease.

Authors:  Matthew R Brier; Jewell B Thomas; Anne M Fagan; Jason Hassenstab; David M Holtzman; Tammie L Benzinger; John C Morris; Beau M Ances
Journal:  Neurobiol Aging       Date:  2013-10-18       Impact factor: 4.673

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.