Algebraic connectivity of brain networks shows patterns of segregation leading to reduced network robustness in Alzheimer’s disease

Madelaine Daianu, Neda Jahanshad, Talia M. Nir, Cassandra D. Leonardo, Clifford R. Jack, Michael W. Weiner, Matt A. Bernstein, Paul M. Thompson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Measures of network topology and connectivity aid the understanding of network breakdown as the brain degenerates in Alzheimer’s disease (AD). We analyzed 3-Tesla diffusion-weighted images from 202 patients scanned by the Alzheimer’s Disease Neuroimaging Initiative—50 healthy controls, 72 with earlyand 38 with late-stage mild cognitive impairment (eMCI/lMCI) and 42 with AD. Using whole-brain tractography, we reconstructed structural connectivity networks representing connections between pairs of cortical regions. We examined, for the first time in this context, the network’s Laplacian matrix and its Fiedler value, describing the network’s algebraic connectivity, and the Fiedler vector, used to partition a graph.We assessed algebraic connectivity and four additional supporting metrics, revealing a decrease in network robustness and increasing disarray among nodes as dementia progressed. Network components became more disconnected and segregated, and their modularity increased. These measures are sensitive to diagnostic group differences, and may help understand the complex changes in AD.

Original languageEnglish (US)
Title of host publicationComputational Diffusion MRI - MICCAI Workshop 2014
EditorsTorben Schneider, Marco Reisert, Lauren O’Donnell, Yogesh Rathi, Gemma Nedjati-Gilani
Publisherspringer berlin
Pages55-64
Number of pages10
ISBN (Electronic)9783319111810
DOIs
StatePublished - 2014
EventMICCAI Workshop on Computational Diffusion MRI, CDMRI 2014 held under the auspices of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014 - Boston, United States
Duration: Sep 18 2014Sep 18 2014

Publication series

NameMathematics and Visualization
Volume39
ISSN (Print)1612-3786
ISSN (Electronic)2197-666X

Other

OtherMICCAI Workshop on Computational Diffusion MRI, CDMRI 2014 held under the auspices of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014
CountryUnited States
CityBoston
Period9/18/149/18/14

ASJC Scopus subject areas

  • Modeling and Simulation
  • Geometry and Topology
  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Algebraic connectivity of brain networks shows patterns of segregation leading to reduced network robustness in Alzheimer’s disease'. Together they form a unique fingerprint.

Cite this