Cited by 44Functional Brain Connectivity StudiesDementia and Cognitive Impairment ResearchComplex Network Analysis Techniques

Small-World Properties in Mild Cognitive Impairment and Early Alzheimer’s Disease: A Cortical Thickness MRI Study

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Zhou, Yongxia, Lui, Yvonne W.·2013·ISRN Geriatrics

Abstract

Background. Small-world network consists of networks with local specialization and global integration. Our objective is to detect small-world properties alteration based on cortical thickness in mild cognitive impairment (MCI) including stables and converters, and early Alzheimer's disease (AD) compared to controls. Methods. MRI scans of 13 controls, 10 MCI, and 10 with early AD were retrospectively analyzed; 11 MCI converters, 11 MCI stables, and 10 controls from the ADNI website were also included. Results. There were significantly decreased local efficiencies in patients with MCI and AD compared to controls; and MCI patients showed increased global efficiency compared to AD and controls. The MCI converters experience the worst local efficiency during the converting period to AD; the stables, however, have highest local and global efficiency. Conclusions. The abnormal cortical thickness-based small-world properties in MCI and AD as well as the distinct patterns between two MCI subtypes suggest that small-world network analysis has the potential to better differentiate different stages of early dementia.

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Cited by

Sorted by citations

Authors
Zhou, Y., & Lui, Y. W.
Affiliations
NYU Langone Health (US)
Corresponding author
Zhou, Yongxia
Venue
ISRN Geriatrics
Publisher
Wiley
Published
2013-03-21
Volume
2013
Pages
1-11
ISSN
2314-4750 (ISSN-L)
OpenAlex
W2048434224
Cited by
44
References
3
Citations by year
2025: 4 · 2024: 4 · 2023: 3 · 2022: 4 · 2021: 3 · 2020: 7 · 2019: 2 · 2018: 6 · 2017: 5 · 2016: 5 · 2014: 1
FWCI
1.10
Type
journal article
Language
en
Open access
Locations
  • ISRN Geriatrics (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion, cc-by)
  • PubMed Central (acceptedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
National Institutes of Health (P30 AG010129, K01 AG030514, U01 AG024904)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
small-world networks, mild cognitive impairment, early Alzheimer's disease, cortical thickness, local efficiency, global efficiency, brain network topology, dementia staging

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