Recovery of slow-5 oscillations in a longitudinal study of ischemic stroke patients.
Recovery of slow-5 oscillations in a longitudinal study of ischemic stroke patients.
复制标题
DOI：
10.1016/j.nicl.2016.03.008
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Prabhakaran V
中科院分区：
文献类型：
--
作者：
La C;Nair VA;Mossahebi P;Stamm J;Birn R;Meyerand ME;Prabhakaran V
静息态功能磁共振成像中的功能网络是通过其固有的低频振荡特征来识别的，更具体地说，是根据其同步性来识别的。随着年龄的增长和临床人群中，这种功能相关区域之间的同步性已知会降低并被破坏，这可能与观察到的认知和行为变化有关。我们小组以前的工作表明，在慢5频率范围（0.01-0.027 Hz）内的振荡特别容易受到衰老和中风后的干扰。在这项研究中，我们纵向特征的变化，在两个不同的时间点在中风患者的慢-5振荡。我们对一组缺血性中风患者（n = 20）和另一组健康老年人（n = 14）进行了两次随访，间隔至少3个月（平均9个月）。对于卒中患者，一次访视发生在亚急性时间窗（卒中发作后10天至6个月），另一次访视发生在慢性时间窗（卒中后> 6个月）。使用中阶组伊卡方法对10分钟闭眼静息状态fMRI数据，我们评估了一个组件的代表性时间过程的频率分布的差异方面慢-5谱功率。首先，我们的中风患者，在他们的亚急性期，表现出较低的振幅慢-5振荡相比，他们的健康同行。其次，随着时间的推移，在慢性阶段，这些患者表现出这些振荡的恢复，达到接近健康老年人组的水平。我们的研究结果表明，这些最初中断的网络振荡最终恢复到接近正常水平的可能性，提供了潜在的生物标志物中风恢复的皮层系统。这一发现为亚慢振荡研究开辟了新的途径，并可能在未来旨在恢复的治疗中作为有用的生物标志物。脑卒中患者亚急性期Slow-5振荡幅度降低。Slow-5振荡幅度与认知表现相关。慢-5振荡在慢性期相同的患者中恢复。研究结果支持慢-5振荡在网络中断的高影响。慢-5振荡可以作为功能网络健康的生物标志。
Functional networks in resting-state fMRI are identified by characteristics of their intrinsic low-frequency oscillations, more specifically in terms of their synchronicity. With advanced aging and in clinical populations, this synchronicity among functionally linked regions is known to decrease and become disrupted, which may be associated with observed cognitive and behavioral changes. Previous work from our group has revealed that oscillations within the slow-5 frequency range (0.01–0.027 Hz) are particularly susceptible to disruptions in aging and following a stroke. In this study, we characterized longitudinally the changes in the slow-5 oscillations in stroke patients across two different time-points. We followed a group of ischemic stroke patients (n = 20) and another group of healthy older adults (n = 14) over two visits separated by a minimum of three months (average of 9 months). For the stroke patients, one visit occurred in their subacute window (10 days to 6 months after stroke onset), the other took place in their chronic window (> 6 months after stroke). Using a mid-order group ICA method on 10-minutes eyes-closed resting-state fMRI data, we assessed the frequency distributions of a component's representative time-courses for differences in regards to slow-5 spectral power. First, our stroke patients, in their subacute stage, exhibited lower amplitude slow-5 oscillations in comparison to their healthy counterparts. Second, over time in their chronic stage, those same patients showed a recovery of those oscillations, reaching near equivalence to the healthy older adult group. Our results indicate the possibility of an eventual recovery of those initially disrupted network oscillations to a near-normal level, providing potentially a biomarker for stroke recovery of the cortical system. This finding opens new avenues in infra-slow oscillation research and could serve as a useful biomarker in future treatments aimed at recovery. Slow-5 oscillation amplitudes are reduced in stroke patients at the subacute stage. Slow-5 oscillation amplitudes correlate with cognitive performance. Slow-5 oscillations recover in the same patients at the chronic stage. Findings support the high implication of slow-5 oscillations in network disruption. Slow-5 oscillations may serve as a bio-marker of functional network health.