Faculty of Medicine, University of Porto, Portugal; Centre for Psychology at University of Porto, Portugal.
Dept. of Experimental Biology, Faculty of Medicine, University of Porto, Portugal; Department of Imaging, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal.
Neuroimage. 2018 Mar;168:499-508. doi: 10.1016/j.neuroimage.2016.11.029. Epub 2016 Nov 15.
Resting-state fMRI is a well-suited technique to map functional networks in the brain because unlike task-based approaches it requires little collaboration from subjects. This is especially relevant in clinical settings where a number of subjects cannot comply with task demands. Previous studies using conventional scanner fields have shown that resting-state fMRI is able to map functional networks in single subjects, albeit with moderate temporal reliability. Ultra-high resolution (7T) imaging provides higher signal-to-noise ratio and better spatial resolution and is thus well suited to assess the temporal reliability of mapping results, and to determine if resting-state fMRI can be applied in clinical decision making including preoperative planning. We used resting-state fMRI at ultra-high resolution to examine whether the sensorimotor and language networks are reliable over time - same session and one week after. Resting-state networks were identified for all subjects and sessions with good accuracy. Both networks were well delimited within classical regions of interest. Mapping was temporally reliable at short and medium time-scales as demonstrated by high values of overlap in the same session and one week after for both networks. Results were stable independently of data quality metrics and physiological variables. Taken together, these findings provide strong support for the suitability of ultra-high field resting-state fMRI mapping at the single-subject level.
静息态功能磁共振成像 (rs-fMRI) 是一种非常适合于绘制大脑功能网络的技术，因为与基于任务的方法不同，它几乎不需要受试者的合作。在临床环境中，许多受试者无法满足任务要求，这一点尤为重要。先前使用传统扫描仪磁场的研究表明，静息态 fMRI 能够在单个受试者中绘制功能网络，尽管其时间可靠性中等。超高分辨率 (7T) 成像提供了更高的信噪比和更好的空间分辨率，因此非常适合评估映射结果的时间可靠性，并确定静息态 fMRI 是否可用于包括术前规划在内的临床决策。我们使用超高分辨率的静息态 fMRI 来检查感觉运动和语言网络是否具有时间稳定性——同一时间段和一周后。为所有受试者和各个时间段都准确地识别出了静息态网络。两个网络都在经典的感兴趣区域内得到了很好的限定。在短时间和中等时间尺度上，映射具有时间稳定性，因为两个网络在同一时间段和一周后具有很高的重叠值。结果与数据质量指标和生理变量无关，是稳定的。总之，这些发现为超高场静息态 fMRI 在单个受试者水平上的适用性提供了有力支持。
