4.7 Article

Influence of epoch length on measurement of dynamic functional connectivity in wakefulness and behavioural validation in sleep

期刊

NEUROIMAGE
卷 112, 期 -, 页码 169-179

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2015.02.061

关键词

Dynamic functional connectivity; Seed-based analysis; NREM sleep

资金

  1. UK Engineering and Physical Sciences Research Council [EP/J002909/1]
  2. EPSRC [EP/I022325/1]
  3. Birmingham Fellowship
  4. Engineering and Physical Sciences Research Council [EP/J002909/1, EP/I022325/1] Funding Source: researchfish
  5. EPSRC [EP/I022325/1, EP/J002909/1] Funding Source: UKRI

向作者/读者索取更多资源

Conventional functional connectivity (FC) analysis of fMRI data derives a single measurement from the entire scan, generally several minutes in duration, which neglects the brain's dynamic behaviour and potentially loses important temporal information. Short-interval dynamic FC is an attractive proposition if methodological issues can be resolved and the approach validated. This was addressed in two ways; firstly we assessed FC of the posterior cingulate cortex (PCC) node of the default mode network (DMN) using differing temporal intervals (8 s to 5 min) in the waking-resting state. We found that 30-second intervals and longer produce spatially similar correlation topography compared to 15-minute static FC measurements, while providing increased temporal information about changes in FC that were consistent across interval lengths. Secondly, we used NREM sleep as a behavioural validation for the use of 30-second temporal intervals due to the known fMRI FC changes with sleep stage that have been observed in previous studies using intervals of several minutes. We found significant decreases in DMN FC with sleep depth which were most pronounced during stage N2 and N3. Additionally, both the proportion of time with strong PCC-DMN connectivity and the variability in dynamic FC decreased with sleep. We therefore show that dynamic FC with epochs as short as tens of seconds is a viable method for characterising intrinsic brain activity. (C) 2015 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据