A posterior-to-anterior shift of brain functional dynamics in aging

被引:0
作者
Han Zhang
Annie Lee
Anqi Qiu
机构
[1] National University of Singapore,Department of Biomedical Engineering
[2] National University of Singapore,Clinical Imaging Research Center
[3] The Agency for Science,Singapore Institute for Clinical Sciences
[4] Technology and Research,undefined
来源
Brain Structure and Function | 2017年 / 222卷
关键词
Brain functional dynamics; Functional connectivity; Brain functional network; Scaffolding mechanism; Resting-state functional magnetic resonance imaging;
D O I
暂无
中图分类号
学科分类号
摘要
Convergent evidence from task-based functional magnetic resonance imaging (fMRI) studies suggests a posterior-to-anterior shift as an adaptive compensatory scaffolding mechanism for aging. This study aimed to investigate whether brain functional dynamics at rest follow the same scaffolding mechanism for aging using a large Chinese sample aged from 22 to 79 years (n = 277). We defined a probability of brain regions being hubs over a period of time to characterize functional hub dynamic, and defined variability of the functional connectivity to characterize dynamic functional connectivity using resting-state fMRI. Our results revealed that both functional hub dynamics and dynamic functional connectivity posited an age-related posterior-to-anterior shift. Specifically, the posterior brain region showed attenuated dynamics, while the anterior brain regions showed augmented dynamics in aging. Interestingly, our analysis further indicated that the age-related episodic memory decline was associated with the age-related decrease in the brain functional dynamics of the posterior regions. Hence, these findings provided a new dimension to view the scaffolding mechanism for aging based on the brain functional dynamics.
引用
收藏
页码:3665 / 3676
页数:11
相关论文
共 224 条
[1]  
Achard S(2007)Efficiency and cost of economical brain functional networks PLoS Comput Biol 3 e17-143
[2]  
Bullmore E(2013)Brain network connectivity assessed using graph theory in frontotemporal dementia Neurology 81 134-676
[3]  
Agosta F(2014)Tracking whole-brain connectivity dynamics in the resting state Cereb Cortex 24 663-127
[4]  
Sala S(2015)Investigating age-related changes in anterior and posterior neural activity throughout the information processing stream Brain Cogn 99 118-935
[5]  
Valsasina P(2007)Disruption of large-scale brain systems in advanced aging Neuron 56 924-22
[6]  
Allen EA(2012)Load-dependent posterior–anterior shift in aging in complex visual selective attention situations Brain Res 1454 14-3987
[7]  
Damaraju E(2016)Brain signal variability differentially affects cognitive flexibility and cognitive stability J Neurosci 36 3978-38
[8]  
Plis SM(2008)The brain’s default network: anatomy, function, and relevance to disease Ann N Y Acad Sci 1124 1-1873
[9]  
Alperin BR(2009)Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer’s disease J Neurosci 29 1860-375
[10]  
Tusch ES(2004)Task-independent and task-specific age effects on brain activity during working memory, visual attention and episodic retrieval Cereb Cortex 14 364-274