National Institute of Neurological Disorders and Stroke, Clinical Epilepsy Section, Bethesda, Maryland, USA.
Children's National Medical Center, Department of Neurology, Washington, District of Columbia, USA.
Hum Brain Mapp. 2020 Aug 1;41(11):3133-3146. doi: 10.1002/hbm.25003. Epub 2020 Apr 24.
We compared resting state (RS) functional connectivity and task-based fMRI to lateralize language dominance in 30 epilepsy patients (mean age = 33; SD = 11; 12 female), a measure used for presurgical planning. Language laterality index (LI) was calculated from task fMRI in frontal, temporal, and frontal + temporal regional masks using LI bootstrap method from SPM12. RS language LI was assessed using two novel methods of calculating RS language LI from bilateral Broca's area seed based connectivity maps across regional masks and multiple thresholds (p < .05, p < .01, p < .001, top 10% connections). We compared LI from task and RS fMRI continuous values and dominance classifications. We found significant positive correlations between task LI and RS LI when functional connectivity thresholds were set to the top 10% of connections. Concordance of dominance classifications ranged from 20% to 30% for the intrahemispheric resting state LI method and 50% to 63% for the resting state LI intra- minus interhemispheric difference method. Approximately 40% of patients left dominant on task showed RS bilateral dominance. There was no difference in LI concordance between patients with right-sided and left-sided resections. Early seizure onset (<6 years old) was not associated with atypical language dominance during task-based or RS fMRI. While a relationship between task LI and RS LI exists in patients with epilepsy, language dominance is less lateralized on RS than task fMRI. Concordance of language dominance classifications between task and resting state fMRI depends on brain regions surveyed and RS LI calculation method.
我们比较了 30 名癫痫患者(平均年龄=33;标准差=11;12 名女性)的静息状态(RS)功能连接和任务 fMRI,以确定语言优势侧,这是用于手术前计划的一种方法。使用 SPM12 中的 LI 引导方法,从额叶、颞叶和额颞区域掩模中的任务 fMRI 计算语言侧化指数(LI)。使用两种新方法评估 RS 语言 LI,从双侧 Broca 区种子的双侧 Broca 区连接图计算跨区域掩模和多个阈值(p<0.05,p<0.01,p<0.001,前 10%连接)的 RS 语言 LI。我们比较了任务和 RS fMRI 连续值和优势分类的 LI。当功能连接阈值设置为前 10%的连接时,我们发现任务 LI 和 RS LI 之间存在显著的正相关。对于半球内 RS LI 方法,优势分类的一致性范围为 20%至 30%,对于 RS LI 半球间差异方法,一致性范围为 50%至 63%。大约 40%的任务左侧优势患者表现出 RS 双侧优势。左右侧切除患者的 LI 一致性无差异。任务或 RS fMRI 期间的早期发作(<6 岁)与非典型语言优势无关。虽然癫痫患者的任务 LI 和 RS LI 之间存在关系,但 RS 上的语言优势比任务 fMRI 上的语言优势更不明显。任务和静息状态 fMRI 之间的语言优势分类的一致性取决于大脑区域和 RS LI 计算方法。