Chinese Medical Journal (Jan 2015)

Frequency-specific Alterations of Large-scale Functional Brain Networks in Patients with Alzheimer′s Disease

  • Yuan-Yuan Qin,
  • Ya-Peng Li,
  • Shun Zhang,
  • Ying Xiong,
  • Lin-Ying Guo,
  • Shi-Qi Yang,
  • Yi-Hao Yao,
  • Wei Li,
  • Wen-Zhen Zhu

DOI
https://doi.org/10.4103/0366-6999.151654
Journal volume & issue
Vol. 128, no. 5
pp. 602 – 609

Abstract

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Background: Previous studies have indicated that the cognitive deficits in patients with Alzheimer′s disease (AD) may be due to topological deteriorations of the brain network. However, whether the selection of a specific frequency band could impact the topological properties is still not clear. Our hypothesis is that the topological properties of AD patients are also frequency-specific. Methods: Resting state functional magnetic resonance imaging data from 10 right-handed moderate AD patients (mean age: 64.3 years; mean mini mental state examination [MMSE]: 18.0) and 10 age and gender-matched healthy controls (mean age: 63.6 years; mean MMSE: 28.2) were enrolled in this study. The global efficiency, the clustering coefficient (CC), the characteristic path length (CpL), and "small-world" property were calculated in a wide range of thresholds and averaged within each group, at three different frequency bands (0.01-0.06 Hz, 0.06-0.11 Hz, and 0.11-0.25 Hz). Results: At lower-frequency bands (0.01-0.06 Hz, 0.06-0.11 Hz), the global efficiency, the CC and the "small-world" properties of AD patients decreased compared to controls. While at higher-frequency bands (0.11-0.25 Hz), the CpL was much longer, and the "small-world" property was disrupted in AD, particularly at a higher threshold. The topological properties changed with different frequency bands, suggesting the existence of disrupted global and local functional organization associated with AD. Conclusions: This study demonstrates that the topological alterations of large-scale functional brain networks in AD patients are frequency dependent, thus providing fundamental support for optimal frequency selection in future related research.

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