Differences in dynamic and static functional connectivity between young and elderly healthy adults.

Purpose: Brain connectivity is highly dynamic, but functional connectivity (FC) studies using resting-state functional magnetic resonance imaging (rs-fMRI) assume it to be static. This study assessed differences in dynamic FC between young healthy adults (YH) and elderly healthy adults (EH) compared...

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Publicado en:Neuroradiology Vol. 59; no. 8; pp. 781 - 790
Autores principales: Park, Ji, Jung, Seung, Ryu, Kyeoung, Oh, Joo, Kim, Ho, Choi, Choong-Gon, Kim, Sang, Shim, Woo
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Aug2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2017
      vid: 59
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00234-017-1875-2
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        atl: Differences in dynamic and static functional connectivity between young and elderly healthy adults.
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        au:
          Park, Ji
          Jung, Seung
          Ryu, Kyeoung
          Oh, Joo
          Kim, Ho
          Choi, Choong-Gon
          Kim, Sang
          Shim, Woo
        affil: Department of Radiology and Research Institute of Radiology , University of Ulsan College of Medicine, Asan Medical Center , 86 Asanbyeongwon-Gil Songpa-Gu 138-736 South Korea
      sug:
        subj:
          Magnetic Resonance Imaging
          Brain
          Time
          Adult
          Pearson's Correlation Coefficient
          Data Analysis, Statistical
          Time Series
          T-Tests
          Quantitative Studies
          Data Analysis
          Aged
          Adult: 19-44 years
          Aged: 65+ years
      ab: Purpose: Brain connectivity is highly dynamic, but functional connectivity (FC) studies using resting-state functional magnetic resonance imaging (rs-fMRI) assume it to be static. This study assessed differences in dynamic FC between young healthy adults (YH) and elderly healthy adults (EH) compared to static FC. Methods: Using rs-fMRI data from 12 YH and 31 EH, FC was assessed in six functional regions (subcortical, auditory [AUD], sensorimotor [SM], visuospatial [VS], cognitive control [CC], and default mode network [DMN]). Static FC was calculated as Fisher's z-transformed correlation coefficient. The sliding time window correlation (window size 30 s, step size 3 s) was applied for dynamic FC, and the standard deviation across sliding windows was calculated. Differences in static and dynamic FC between EH and YH were calculated and compared by region. Results: EH showed decreased static FC in the subcortical, CC, and DMN regions (FDR corrected p = 0.0013; 74 regions), with no regions showing static FC higher than that in YH. EH showed increased dynamic FC in the subcortical, CC, and DMN regions, whereas decreased dynamic FC in CC and DMN regions ( p < 0.01). However, the regions showing differences between EH and YH did not overlap between static and dynamic FC. Conclusion: Dynamic FC exhibited differences from static FC in EH and YH, mainly in regions involved in cognitive control and the DMN. Altered dynamic FC demonstrated both qualitatively and quantitatively distinct patterns of transient brain activity and needs to be studied as an imaging biomarker in the aging process.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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