Barry Robert L, Rogers Baxter P, Conrad Benjamin N, Smith Seth A, Gore John C
Vanderbilt University Institute of Imaging Science, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Vanderbilt University Institute of Imaging Science, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Neuroimage. 2016 Jun;133:31-40. doi: 10.1016/j.neuroimage.2016.02.058. Epub 2016 Feb 26.
We recently reported our findings of resting state functional connectivity in the human spinal cord: in a cohort of healthy volunteers we observed robust functional connectivity between left and right ventral (motor) horns and between left and right dorsal (sensory) horns (Barry et al., 2014). Building upon these results, we now quantify the within-subject reproducibility of bilateral motor and sensory networks (intraclass correlation coefficient=0.54-0.56) and explore the impact of including frequencies up to 0.13Hz. Our results suggest that frequencies above 0.08Hz may enhance the detectability of these resting state networks, which would be beneficial for practical studies of spinal cord functional connectivity.
在一组健康志愿者中,我们观察到左右腹侧(运动)角之间以及左右背侧(感觉)角之间存在强大的功能连接(Barry等人,2014年)。基于这些结果,我们现在量化双侧运动和感觉网络的受试者内再现性(组内相关系数=0.54-0.56),并探讨纳入高达0.13Hz频率的影响。我们的结果表明,高于0.08Hz的频率可能会提高这些静息态网络的可检测性,这将有利于脊髓功能连接的实际研究。