Using Static and Dynamic connectivity analyses of Eloquent brain tissue to assess surgical risk in patients with intractable seizures

我们已经完成了对41名健康个体的审查，这些健康个体是作为癫痫发作方案的一部分招募的，并使用人类连接组项目的公开数据集对150名健康志愿者的更大队列完成了相同的分析。 我们现在已经完成了统计分析的静态和动态连接的任务相关和静息状态听觉语言相关的网络为41名健康对照受试者，通过NINDS癫痫协议招募，控制的水平难度和谁是匹配的教育水平和年龄。我们还通过对HCP数据库中150名健康成人的静态和动态连接网络分析证实了我们的初步发现。 我们发现： 1.我们还发现了性别和年龄的相互作用效应，例如性别效应在年轻受试者中更明显，但随着受试者年龄的增长，年龄相关的差异超过了性别相关的差异，例如老年健康成人不显示性别相关的差异。我们解释这些结果表明，随着时间的推移，年龄是语言相关大脑网络性能的驱动因素。这些成果已于2022年6月在人脑图谱组织会议上成功展示。 我们目前正在撰写描述这些发现的手稿。 2.我们还发现，语言介导网络的相关强度可能存在种族差异，这些差异与受教育年限无关，也不能预测他们在行为任务上的表现。然而，我们认为需要更多的研究，使用更大更多样化的队列，以评估这些发现的有效性。 本摘要已于2022年11月成功提交并接受在神经科学学会会议上发表。 今后的工作： 我们正在完成对一个更大的、种族更多样化的健康成年受试者队列的分析，控制了多年的教育和性别，以评估这一潜在的发现。 重要性： 我们认为，如果这些广泛的变量在更大的队列分析中得到证实，则可能需要将其纳入计算模型，以改善患者手术干预后网络性能状态的性能预测。

We have completed the review of 41 healthy individuals who were recruited as part of the epilepsy seizure protocol and completed the same analyses on a larger cohort on 150 healthy volunteers using the Human Connectome Project's publicly available datasets. We have now completed statistical analyses of the static and dynamic connectivity for both task related and resting state auditory language related networks for 41 healthy control subjects, recruited via NINDS epilepsy protocol, controlled for the level difficulty and who are matched for educational level and age. We have also confirmed our preliminary findings using the static and dynamic connectivity network analyses for 150 healthy adults from the HCP database. We have found: 1. We also found gender and age interaction effects such that gender effects were more pronounced in younger subjects but that age-related differences over take gender-related differences as subjects age, such older healthy adults do not show gender related differences. We interpret these results to indicate that age is the driving factor in the performance of language related brain networks over time. These results were successfully presented at the Organization of Human Brain Mapping Conference in June 2022. We are currently writing up the manuscript describing these findings. 2. We also found possible possible racial differences in the correlation strengths of language mediated networks that were not correlated to number of years of education nor was it predictive of their performance on behavioral tasks. However, we think that more research is needed, using larger more diversified cohorts, to assess the validity of these findings. This abstract was successfully submitted and accepted for presentation at the Society for Neuroscience meeting in Nov 2022. Future work: We are completing the analyses of a larger more racially diversified cohort of healthy adults subjects, controlled for years of education, gender to evaluate this potential finding. Significance: We think that if these broad variables are confirmed in larger cohort analyses, they may need to be included computational modelling for improved performance prediction of network performance status post surgical intervention for patients.