Wang Yujing, Hays Mark A, Coogan Christopher, Kang Joon Y, Flinker Adeen, Arya Ravindra, Korzeniewska Anna, Crone Nathan E
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Front Hum Neurosci. 2021 Apr 14;15:661976. doi: 10.3389/fnhum.2021.661976. eCollection 2021.
Functional human brain mapping is commonly performed during invasive monitoring with intracranial electroencephalographic (iEEG) electrodes prior to resective surgery for drug- resistant epilepsy. The current gold standard, electrocortical stimulation mapping (ESM), is time -consuming, sometimes elicits pain, and often induces after discharges or seizures. Moreover, there is a risk of overestimating eloquent areas due to propagation of the effects of stimulation to a broader network of language cortex. Passive iEEG spatial-temporal functional mapping (STFM) has recently emerged as a potential alternative to ESM. However, investigators have observed less correspondence between STFM and ESM maps of language than between their maps of motor function. We hypothesized that incongruities between ESM and STFM of language function may arise due to propagation of the effects of ESM to cortical areas having strong effective connectivity with the site of stimulation. We evaluated five patients who underwent invasive monitoring for seizure localization, whose language areas were identified using ESM. All patients performed a battery of language tasks during passive iEEG recordings. To estimate the effective connectivity of stimulation sites with a broader network of task-activated cortical sites, we measured cortico-cortical evoked potentials (CCEPs) elicited across all recording sites by single-pulse electrical stimulation at sites where ESM was performed at other times. With the combination of high gamma power as well as CCEPs results, we trained a logistic regression model to predict ESM results at individual electrode pairs. The average accuracy of the classifier using both STFM and CCEPs results combined was 87.7%, significantly higher than the one using STFM alone (71.8%), indicating that the correspondence between STFM and ESM results is greater when effective connectivity between ESM stimulation sites and task-activated sites is taken into consideration. These findings, though based on a small number of subjects to date, provide preliminary support for the hypothesis that incongruities between ESM and STFM may arise in part from propagation of stimulation effects to a broader network of cortical language sites activated by language tasks, and suggest that more studies, with larger numbers of patients, are needed to understand the utility of both mapping techniques in clinical practice.
在药物难治性癫痫的切除性手术前,功能性人脑图谱通常在使用颅内脑电图(iEEG)电极进行侵入性监测期间进行。当前的金标准——皮质电刺激图谱(ESM)耗时较长,有时会引发疼痛,且常常诱发放电后反应或癫痫发作。此外,由于刺激效应传播至更广泛的语言皮质网络,存在高估明确区域的风险。被动iEEG时空功能图谱(STFM)最近已成为ESM的一种潜在替代方法。然而,研究人员观察到,与运动功能图谱相比,语言的STFM和ESM图谱之间的对应性较差。我们推测,语言功能的ESM和STFM之间的不一致可能是由于ESM的效应传播至与刺激部位具有强有效连接的皮质区域所致。我们评估了5例接受侵入性监测以进行癫痫灶定位的患者,其语言区域通过ESM确定。所有患者在被动iEEG记录期间执行了一系列语言任务。为了估计刺激部位与更广泛的任务激活皮质部位网络之间的有效连接性,我们测量了在其他时间进行ESM的部位通过单脉冲电刺激在所有记录部位诱发的皮质-皮质诱发电位(CCEP)。结合高伽马功率以及CCEP结果,我们训练了一个逻辑回归模型来预测各个电极对的ESM结果。使用STFM和CCEP结果相结合的分类器的平均准确率为87.7%,显著高于仅使用STFM的分类器(71.8%),这表明当考虑到ESM刺激部位与任务激活部位之间的有效连接性时,STFM和ESM结果之间的对应性更强。尽管这些发现目前基于少数受试者,但为以下假设提供了初步支持:ESM和STFM之间的不一致可能部分源于刺激效应传播至由语言任务激活的更广泛的皮质语言部位网络,并表明需要更多涉及大量患者的研究来了解这两种图谱技术在临床实践中的效用。