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Disrupted Brain Network in Progressive Mild Cognitive Impairment Measured by Eigenvector Centrality Mapping is Linked

Tiantian Qiu1, Xiao Luo1, Zhujing Shen1

  • 1Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Journal of Alzheimer'S Disease : JAD
|September 3, 2016
PubMed

Insights

Progressive mild cognitive impairment (MCI) shows altered brain network activity linked to Alzheimer's disease pathology. These changes in eigenvector centrality may predict disease progression and offer insights into underlying mechanisms.

Area of Science:

  • Neuroscience
  • Radiology
  • Gerontology

Background:

  • Mild cognitive impairment (MCI) is a heterogeneous condition with a high risk of progressing to Alzheimer's disease (AD).
  • Functional brain network alterations are observed in progressive MCI (pMCI), but their pathological underpinnings are unclear.

Purpose of the Study:

  • To investigate brain network organization differences using fast eigenvector centrality mapping (fECM) in progressive MCI (pMCI), stable MCI (sMCI), and normal controls.
  • To assess the relationship between brain network organization, cognitive function, and AD-related pathology.

Main Methods:

  • Evaluated neuropsychological, imaging (resting-state functional MRI), and cerebrospinal fluid (CSF) data from 21 pMCI, 33 sMCI, and 29 normal controls.
  • Employed fast eigenvector centrality mapping (fECM) to analyze resting-state functional MRI (rsfMRI) data for brain network organization.

Main Results:

  • Progressive MCI (pMCI) exhibited decreased eigenvector centrality (EC) in the left temporal pole and parahippocampal gyrus, and increased EC in the left middle frontal gyrus compared to stable MCI (sMCI).
  • Compared to controls, pMCI showed decreased EC in the right hippocampus and bilateral parahippocampal gyrus; sMCI had decreased EC in the right middle frontal gyrus and superior parietal lobule.
  • EC in the left temporal pole correlated with memory scores and CSF total tau levels in pMCI patients.

Conclusions:

  • Eigenvector centrality (EC) changes in specific brain network nodes are implicated in the prognosis of progressive and stable MCI.
  • The association between decreased EC and pathological changes provides a deeper understanding of the pathophysiology of progressive MCI.
Keywords:
Alzheimer’s diseasebrain network organizationcerebrospinal fluidcognitionmild cognitive impairmentpathophysiology

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