Dynamic complexity of spontaneous bold activity in Alzheimer's disease and mild cognitive impairment using multiscale entropy analysis

Yan Niu, Bin Wang, Mengni Zhou, Jiayue Xue, Habib Shapour, Rui Cao, Xiaohong Cui, Jinglong Wu, Jie Xiang

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Alzheimer's disease (AD) is characterized by progressive deterioration of brain function among elderly people. Studies revealed aberrant correlations in spontaneous blood oxygen level-dependent (BOLD) signals in resting-state functional magnetic resonance imaging (rs-fMRI) over a wide range of temporal scales. However, the study of the temporal dynamics of BOLD signals in subjects with AD and mild cognitive impairment (MCI) remains largely unexplored. Multiscale entropy (MSE) analysis is a method for estimating the complexity of finite time series over multiple time scales. In this research, we applied MSE analysis to investigate the abnormal complexity of BOLD signals using the rs-fMRI data from the Alzheimer's disease neuroimaging initiative (ADNI) database. There were 30 normal controls (NCs), 33 early MCI (EMCI), 32 late MCI (LMCI), and 29 AD patients. Following preprocessing of the BOLD signals, whole-brain MSE maps across six time scales were generated using the Complexity Toolbox. One-way analysis of variance (ANOVA) analysis on the MSE maps of four groups revealed significant differences in the thalamus, insula, lingual gyrus and inferior occipital gyrus, superior frontal gyrus and olfactory cortex, supramarginal gyrus, superior temporal gyrus, and middle temporal gyrus on multiple time scales. Compared with the NC group, MCI and AD patients had significant reductions in the complexity of BOLD signals and AD patients demonstrated lower complexity than that of the MCI subjects. Additionally, the complexity of BOLD signals from the regions of interest (ROIs) was found to be significantly associated with cognitive decline in patient groups on multiple time scales. Consequently, the complexity or MSE of BOLD signals may provide an imaging biomarker of cognitive impairments in MCI and AD.

Original languageEnglish
Article number00677
JournalFrontiers in Neuroscience
Volume12
Issue numberOCT
DOIs
Publication statusPublished - Oct 1 2018

Fingerprint

Entropy
Alzheimer Disease
Oxygen
Occipital Lobe
Temporal Lobe
Analysis of Variance
Magnetic Resonance Imaging
Parietal Lobe
Cognitive Dysfunction
Brain
Frontal Lobe
Prefrontal Cortex
Thalamus
Neuroimaging
Biomarkers
Databases
Control Groups
Research

Keywords

  • Alzheimer's disease
  • Blood oxygen level-dependent signals
  • Dynamic complexity
  • Mild cognitive impairment
  • Multiscale entropy

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Dynamic complexity of spontaneous bold activity in Alzheimer's disease and mild cognitive impairment using multiscale entropy analysis. / Niu, Yan; Wang, Bin; Zhou, Mengni; Xue, Jiayue; Shapour, Habib; Cao, Rui; Cui, Xiaohong; Wu, Jinglong; Xiang, Jie.

In: Frontiers in Neuroscience, Vol. 12, No. OCT, 00677, 01.10.2018.

Research output: Contribution to journalArticle

Niu, Yan ; Wang, Bin ; Zhou, Mengni ; Xue, Jiayue ; Shapour, Habib ; Cao, Rui ; Cui, Xiaohong ; Wu, Jinglong ; Xiang, Jie. / Dynamic complexity of spontaneous bold activity in Alzheimer's disease and mild cognitive impairment using multiscale entropy analysis. In: Frontiers in Neuroscience. 2018 ; Vol. 12, No. OCT.
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