Spontaneous BOLD event triggered averages for estimating functional connectivity at resting state.

Spontaneous BOLD event triggered averages for estimating functional connectivity at resting state.
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DOI:
10.1016/j.neulet.2010.11.020
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发表时间:
2011-01-20
影响因子:
2.5
通讯作者:
Chialvo DR
Chialvo DR
中科院分区:
医学4区
文献类型:
--
作者:
Tagliazucchi E;Balenzuela P;Fraiman D;Montoya P;Chialvo DR

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最近的神经影像学研究表明,自发的大脑活动在很大程度上反映了针对认知和行为任务而测量的相同激活模式。激活和休息之间的这种对应关系已经通过大量的计算方法进行了探索,从大脑区域之间成对相互作用的分析到通过独立成分分析产生的全局大脑网络。在本文中,我们描述了一种替代方法,该方法基于由另一个大脑区域(种子)的自发活动增量触发的感兴趣区域(目标)的 BOLD 信号的平均值。静息 BOLD 事件触发平均值(“rBeta”)可用于估计静息状态下的功能连接。使用两个简单的例子,我们在这里说明了对 BOLD 信号自发增加/减少触发的平均响应的分析如何足以捕获各种情况下的上述对应关系。这里描述的休息期间非线性响应的计算允许与任务执行期间获得的结果进行直接比较,提供大脑区域之间功能相互作用的替代测量。
Recent neuroimaging studies have demonstrated that the spontaneous brain activity reflects, to a large extent, the same activation patterns measured in response to cognitive and behavioral tasks. This correspondence between activation and rest has been explored with a large repertoire of computational methods, ranging from analysis of pairwise interactions between areas of the brain to the global brain networks yielded by independent component analysis. In this paper we describe an alternative method based on the averaging of the BOLD signal at a region of interest (target) triggered by spontaneous increments in activity at another brain area (seed). The resting BOLD event triggered averages (“rBeta”) can be used to estimate functional connectivity at resting state. Using two simple examples, here we illustrate how the analysis of the average response triggered by spontaneous increases/decreases in the BOLD signal is sufficient to capture the aforementioned correspondence in a variety of circumstances. The computation of the non linear response during rest here described allows for a direct comparison with results obtained during task performance, providing an alternative measure of functional interaction between brain areas.
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