State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, 100875, China.
Sci Rep. 2017 Jul 25;7(1):6461. doi: 10.1038/s41598-017-06340-7.
Resting-state functional near-infrared spectroscopy (fNIRS) is a potential technique for the study of brain functional connectivity (FC) and networks in children. However, the necessary fNIRS scanning duration required to map accurate and stable functional brain connectivity and graph theory metrics in the resting-state brain activity remains largely unknown. Here, we acquired resting-state fNIRS imaging data from 53 healthy children to provide the first empirical evidence for the minimum imaging time required to obtain accurate and stable FC and graph theory metrics of brain network activity (e.g., nodal efficiency and network global and local efficiency). Our results showed that FC was accurately and stably achieved after 7.0-min fNIRS imaging duration, whereas the necessary scanning time for accurate and stable network measures was a minimum of 2.5 min at low network thresholds. These quantitative results provide direct evidence for the choice of the resting-state fNIRS imaging time in children in brain FC and network topology study. The current study also demonstrates that these methods are feasible and cost-effective in the application of time-constrained infants and critically ill children.
静息态近红外光谱功能成像（fNIRS）是研究儿童脑功能连接（FC）和网络的一种有潜力的技术。然而，在静息态大脑活动中，映射准确和稳定的功能脑连接和图论指标所需的必要 fNIRS 扫描持续时间在很大程度上仍然未知。在这里，我们从 53 名健康儿童中获取了静息态 fNIRS 成像数据，为获得大脑网络活动的准确和稳定 FC 和图论指标（例如，节点效率和网络全局和局部效率）所需的最小成像时间提供了第一个经验证据。我们的结果表明，在进行 7.0 分钟的 fNIRS 成像后，可以准确和稳定地获得 FC，而在低网络阈值下，获得准确和稳定的网络测量所需的扫描时间至少为 2.5 分钟。这些定量结果为在儿童脑 FC 和网络拓扑研究中选择静息态 fNIRS 成像时间提供了直接证据。本研究还表明，这些方法在时间受限的婴儿和危重病儿童的应用中是可行且具有成本效益的。
