Spectral graph theory and graph energy metrics show evidence for the Alzheimer's disease disconnection syndrome in APOE-4 risk gene carriers

Madelaine Daianu, Adam Mezher, Neda Jahanshad, Derrek P. Hibar, Talia M. Nir, Clifford R. Jack, Michael W. Weiner, Matt A. Bernstein, Paul M. Thompson

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

12 Scopus citations

Abstract

Our understanding of network breakdown in Alzheimer's disease (AD) is likely to be enhanced through advanced mathematical descriptors. Here, we applied spectral graph theory to provide novel metrics of structural connectivity based on 3-Tesla diffusion weighted images in 42 AD patients and 50 healthy controls. We reconstructed connectivity networks using whole-brain tractography and examined, for the first time here, cortical disconnection based on the graph energy and spectrum. We further assessed supporting metrics - link density and nodal strength - to better interpret our results. Metrics were analyzed in relation to the well-known APOE-4 genetic risk factor for late-onset AD. The number of disconnected cortical regions increased with the number of copies of the APOE-4 risk gene in people with AD. Each additional copy of the APOE-4 risk gene may lead to more dysfunctional networks with weakened or abnormal connections, providing evidence for the previously hypothesized 'disconnection syndrome'.

Original languageEnglish (US)
Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PublisherIEEE Computer Society
Pages458-461
Number of pages4
ISBN (Electronic)9781479923748
DOIs
StatePublished - Jul 21 2015
Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
Duration: Apr 16 2015Apr 19 2015

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2015-July
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
CountryUnited States
CityBrooklyn
Period4/16/154/19/15

Keywords

  • APOE-4
  • Alzheimer's disease
  • disconnection syndrome
  • energy
  • graph spectrum

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Spectral graph theory and graph energy metrics show evidence for the Alzheimer's disease disconnection syndrome in APOE-4 risk gene carriers'. Together they form a unique fingerprint.

  • Cite this

    Daianu, M., Mezher, A., Jahanshad, N., Hibar, D. P., Nir, T. M., Jack, C. R., Weiner, M. W., Bernstein, M. A., & Thompson, P. M. (2015). Spectral graph theory and graph energy metrics show evidence for the Alzheimer's disease disconnection syndrome in APOE-4 risk gene carriers. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015 (pp. 458-461). [7163910] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/ISBI.2015.7163910