4.7 Article

Complexity and synchronicity of resting state blood oxygenation level-dependent (BOLD) functional MRI in normal aging and cognitive decline

期刊

JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 38, 期 1, 页码 36-45

出版社

WILEY
DOI: 10.1002/jmri.23961

关键词

resting state BOLD fMRI; approximate entropy (ApEn); complexity; aging; familial Alzheimer's disease (fAD); default mode network (DMN)

资金

  1. National Institutes of Health (NIH) [R01-MH080892, P50-AG016570, U01-AG032438]
  2. Easton Consortium for Alzheimer's Disease Drug and Biomarker Discovery

向作者/读者索取更多资源

Purpose: To explore the use of approximate entropy (ApEn) as an index of the complexity and the synchronicity of resting state blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) in normal aging and cognitive decline associated with familial Alzheimer's disease (fAD). Materials and Methods: Resting state BOLD fMRI data were acquired at 3T from two independent cohorts of subjects consisting of healthy young (age 23 +/- 2 years, n = 8) and aged volunteers (age 66 +/- 3 years, n = 8), as well as 22 fAD associated subjects (14 mutation carriers, age 41.2 +/- 15.8 years; and eight nonmutation carrying family members, age 28.8 +/- 5.9 years). Mean ApEn values were compared between the two age groups and correlated with cognitive performance in the fAD group. Cross-ApEn (C-ApEn) was further calculated to assess the asynchrony between precuneus and the rest of the brain. Results: Complexity of brain activity measured by mean ApEn in gray and white matter decreased with normal aging. In the fAD group, cognitive impairment was associated with decreased mean ApEn in gray matter as well as decreased regional ApEn in right precuneus, right lateral parietal regions, left precentral gyrus, and right paracentral gyrus. A pattern of asynchrony between BOLD fMRI series emerged from C-ApEn analysis, with significant regional anti-correlation with cross-correlation coefficient of functional connectivity analysis. Conclusion: ApEn and C-ApEn may be useful for assessing the complexity and synchronicity of brain activity in normal aging and cognitive decline associated with neuro-degenerative diseases.

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