Polo FVG, San Vito al Tagliamento, PN, Scientific Institute IRCCS "Eugenio Medea,", Italy.
Unità Operativa di Neurologia, Azienda Sanitaria Universitaria del Friuli Centrale, Udine, Italy.
Brain Behav. 2022 May;12(5):e2560. doi: 10.1002/brb3.2560. Epub 2022 Apr 4.
Low-grade gliomas (LGGs) are frequently associated with epilepsy. There are few studies addressing the impact of seizures, antiseizure medications (ASMs), and lesion localization on presurgery cognitive functioning.
We tested the relation between the above-mentioned variables in a continuous series of 73 young patients (mean age 38.3 years ± 11.7) affected by LGGs and epilepsy. The anatomical areas, involved in this sample, were the left insula with surrounding cortical and subcortical areas, the right precentral gyrus/rolandic operculum, and the white matter and cortical regions beneath.
Patients' presurgery cognitive status was within the normal range, with borderline performance for some tasks. We tested whether lower scores were related with lesion or with epilepsy-related factors. Multiple regression identified variables that predict test scores. The Token test score was predicted by a model (p = .0078) containing the DT2T1 MRI, corrected for seizure features. Object naming performance was predicted by a model (p = .0113) containing the localization, the DT2T1 MRI, corrected for sex, EEG, and onset. Verbal fluency score was predicted by a model (p = .0056) containing the localization and the DT2T1 MRI, corrected for AEDs and EEG. Working memory score was predicted by a model (p = .0117) containing Engel class, the DT2T1 MRI, corrected for sex. Clock drawing score was predicted by a model (p < .0001) containing the Engel class, AEDs, and EEG. TMT A score was predicted by a model (p = .0022) containing localization, corrected for EEG. TMT B-A score was predicted by a model (p = .0373) containing localization. Voxel Lesion Symptom Mapping analyses carried out on patients' lesion volumes confirmed that patients' level of performance correlated with lesion-related variables.
This preliminary study indicates that the presurgical level of performance for language tasks and for cognitive flexibility and shifting is mainly predicted by lesion-related variables, working memory by both lesion and epilepsy-related variables. Epilepsy clinical and instrumental characteristics predicted performance for visuospatial planning.
低级胶质瘤(LGG)常伴有癫痫。少数研究探讨了癫痫发作、抗癫痫药物(ASM)和病变定位对术前认知功能的影响。
我们在一个连续的 73 例 LGG 和癫痫患者的样本中测试了上述变量之间的关系。本样本涉及的解剖区域包括左侧岛叶及其周围皮质和皮质下区域、右侧中央前回/ Rolandic 脑回以及白质和皮质下区域。
患者术前认知状态处于正常范围,部分任务成绩接近正常。我们测试了较低的分数是否与病变或与癫痫相关的因素有关。多元回归确定了预测测试分数的变量。代币测试分数由包含 DT2T1 MRI 的模型(p =.0078)预测,校正了癫痫发作特征。物体命名表现由包含定位、DT2T1 MRI、校正性别、EEG 和发病的模型(p =.0113)预测。言语流畅性评分由包含定位和 DT2T1 MRI 的模型预测,校正了 AED 和 EEG(p =.0056)。工作记忆评分由包含定位和 DT2T1 MRI 的模型预测,校正了 Engel 分级、AED 和 EEG(p =.0117)。钟表绘图评分由包含 Engel 分级、AED 和 EEG 的模型预测(p <.0001)。TMT A 评分由包含定位、校正 EEG 的模型预测(p =.0022)。TMT B-A 评分由包含定位的模型预测(p =.0373)。对患者病变体积进行的 Voxel Lesion Symptom Mapping 分析证实,患者的表现水平与病变相关变量相关,语言任务和认知灵活性和转换的工作记忆主要由病变相关变量预测,工作记忆由病变和癫痫相关变量共同预测。癫痫的临床和仪器特征预测了视觉空间规划的表现。
这项初步研究表明,语言任务和认知灵活性及转换的术前表现水平主要由病变相关变量预测,工作记忆由病变和癫痫相关变量共同预测。癫痫的临床和仪器特征预测了视觉空间规划的表现。