Park Ji Eun, Jung Seung Chai, Ryu Kyeoung Hwa, Oh Joo Young, Kim Ho Sung, Choi Choong-Gon, Kim Sang Joon, Shim Woo Hyun
Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 86 Asanbyeongwon-Gil, Songpa-Gu, Seoul, 138-736, South Korea.
Neuroradiology. 2017 Aug;59(8):781-789. doi: 10.1007/s00234-017-1875-2. Epub 2017 Jul 8.
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.
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.
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.
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.
脑连接性具有高度动态性,但使用静息态功能磁共振成像(rs-fMRI)的功能连接性(FC)研究假定其为静态。本研究评估了年轻健康成年人(YH)和老年健康成年人(EH)之间动态FC与静态FC的差异。
使用来自12名YH和31名EH的rs-fMRI数据,在六个功能区域(皮层下、听觉[AUD]、感觉运动[SM]、视觉空间[VS]、认知控制[CC]和默认模式网络[DMN])评估FC。静态FC计算为费舍尔z变换相关系数。应用滑动时间窗口相关性(窗口大小30秒,步长3秒)计算动态FC,并计算跨滑动窗口的标准差。计算并按区域比较EH和YH之间静态和动态FC的差异。
EH在皮层下、CC和DMN区域的静态FC降低(FDR校正p = 0.0013;74个区域),没有区域的静态FC高于YH。EH在皮层下、CC和DMN区域的动态FC增加,而在CC和DMN区域的动态FC降低(p < 0.01)。然而,EH和YH之间显示差异的区域在静态和动态FC之间不重叠。
动态FC在EH和YH中表现出与静态FC不同,主要在涉及认知控制和DMN的区域。动态FC的改变表现出瞬态脑活动在定性和定量上的不同模式,需要作为衰老过程中的一种成像生物标志物进行研究。