Connectivity network breakdown predicts imminent volumetric atrophy in early mild cognitive impairment

Talia M. Nir, Neda Jahanshad, Arthur W. Toga, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson

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

4 Scopus citations

Abstract

Alzheimer's disease (AD) is characterized both by cortical atrophy and disrupted connectivity, resulting in abnormal interactions between neural systems. Diffusion weighted imaging (DWI) and graph theory can be used to evaluate major brain networks, and detect signs of abnormal breakdown in network connectivity. In a longitudinal study using both DWI and standard MRI, we assessed baseline white matter connectivity patterns in 24 early mild cognitive impairment (eMCI) subjects (mean age: 74.5 +/- 8.3 yrs). Using both standard MRI-based cortical parcellations and whole-brain tractography, we computed baseline connectivity maps from which we calculated global "small- world" architecture measures. We evaluated whether these network measures predicted future volumetric brain atrophy in eMCI subjects, who are at risk for developing AD, as determined by 3D Jacobian "expansion factor maps" between baseline and 6-month follow-up scans. This study suggests that DWI-based network measures may be a novel predictor of AD progression.

Original languageEnglish (US)
Title of host publicationMultimodal Brain Image Analysis - Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Proceedings
Pages41-50
Number of pages10
DOIs
StatePublished - Nov 6 2012
Event2nd International Workshop on Multimodal Brain Image Analysis, MBIA 2012, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France
Duration: Oct 1 2012Oct 5 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7509 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Workshop on Multimodal Brain Image Analysis, MBIA 2012, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
CountryFrance
CityNice
Period10/1/1210/5/12

Keywords

  • ADNI
  • DTI
  • Graph theory
  • TBM
  • brain networks
  • connectivity
  • small worldness
  • tractography
  • white matter

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Nir, T. M., Jahanshad, N., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2012). Connectivity network breakdown predicts imminent volumetric atrophy in early mild cognitive impairment. In Multimodal Brain Image Analysis - Second International Workshop, MBIA 2012, Held in Conjunction with MICCAI 2012, Proceedings (pp. 41-50). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7509 LNCS). https://doi.org/10.1007/978-3-642-33530-3_4