PDF(Pubmed)
Abstract：
Protocols have been proposed to optimize neuromodulation targets and parameters to increase treatment efficacies for different neuropsychiatric diseases. However, no study has investigated the temporal effects of optimal neuromodulation targets and parameters simultaneously via exploring the test-retest reliability of the optimal neuromodulation protocols. In this study, we employed a publicly available structural and resting-state functional magnetic resonance imaging (fMRI) dataset to investigate the temporal effects of the optimal neuromodulation targets and parameters inferred from our customized neuromodulation protocol and examine the test-retest reliability over scanning time. 57 healthy young subjects were included in this study. Each subject underwent a repeated structural and resting state fMRI scan in two visits with an interval of 6 weeks between two scanning visits. Brain controllability analysis was performed to determine the optimal neuromodulation targets and optimal control analysis was further applied to calculate the optimal neuromodulation parameters for specific brain states transition. Intra-class correlation (ICC) measure was utilized to examine the test-retest reliability. Our results demonstrated that the optimal neuromodulation targets and parameters had excellent test-retest reliability (both ICCs > 0.80). The test-retest reliability of model fitting accuracies between the actual final state and the simulated final state also showed a good test-retest reliability (ICC > 0.65). Our results indicated the validity of our customized neuromodulation protocol to reliably identify the optimal neuromodulation targets and parameters between visits, which may be reliably extended to optimize the neuromodulation protocols to efficiently treat different neuropsychiatric disorders.
摘要：
已经提出了方案来优化神经调节靶标和参数以提高不同神经精神疾病的治疗效果。然而,没有研究通过探索最佳神经调节方案的测试-重测可靠性来同时研究最佳神经调节目标和参数的时间效应.在这项研究中,我们采用了公开的结构和静息态功能磁共振成像(fMRI)数据集,以研究从我们定制的神经调节方案推断的最佳神经调节目标和参数的时间效应,并检查了随扫描时间的测试-重测可靠性.57名健康的年轻受试者被纳入这项研究。每位受试者在两次访问中进行了重复的结构和静息状态fMRI扫描，两次扫描访问之间的间隔为6周。进行大脑可控性分析以确定最佳神经调节目标，并进一步应用最优控制分析来计算特定大脑状态转变的最佳神经调节参数。利用类内相关(ICC)测量来检查重测可靠性。我们的结果表明，最佳的神经调节目标和参数具有出色的重测可靠性（两个ICC>0.80）。实际最终状态和模拟最终状态之间模型拟合精度的测试重测可靠性也显示出良好的测试重测可靠性（ICC>0.65）。我们的结果表明我们定制的神经调节协议的有效性，以可靠地识别最佳的神经调节目标和参数之间的访问，可以可靠地扩展以优化神经调节方案，以有效地治疗不同的神经精神疾病。
