Department of Radiology, School of Medicine, Gazi University, Ankara, Turkey
Department of Neurology, School of Medicine, Gazi University, Ankara, Turkey
Turk J Med Sci. 2020 Aug 26;50(5):1350-1363. doi: 10.3906/sag-2001-29.
BACKGROUND/AIM: The main purpose of this study is to evaluate the resting state hippocampal connectivity with language areas and to correlate them with laterality index calculations on single subject basis, hence to present hippocampal lateralization for language with rs-fMRI.
Task based and rs-fMRI data were gathered from a total of 45 subjects in 3T scanner. BrainVoyager QX, SPM, and CONN softwares were used for data analysis. LI score of each subject was calculated and converted into normalized LI score (nLI). Intrahemispheric rs-connectivity analysis was performed between hippocampus and Broca’s regions on both sides. Correlation between these variables was measured with SPSS software.
Right-TLE patients were found to have highest whereas left-TLE group were found to have lowest mean LI scores. Regarding hippocampal-lingual networks; left intrahemispheric connectivity values showed strong positive correlation with nLI values in left, right-TLE patients and healthy controls (P = 0.035, 0.014, 0.047). There were no significant correlation between right intrahemispheric connectivity values and nLI scores in all groups.
This study seems to depict the existence of resting state hippocampal-lingual functional network which correlates well with lateralization of language function in the left hemisphere in both temporal lobe epilepsy patients and healthy controls.
背景/目的：本研究的主要目的是评估静息状态下海马与语言区域的连接，并在个体基础上对其与侧化指数计算进行相关性分析，从而用 rs-fMRI 呈现海马的语言侧化。
在 3T 扫描仪中总共采集了 45 名受试者的任务和 rs-fMRI 数据。使用 BrainVoyager QX、SPM 和 CONN 软件进行数据分析。计算每位受试者的 LI 评分并转换为归一化 LI 评分（nLI）。在两侧分别对海马体和布罗卡区进行半球内 rs 连通性分析。使用 SPSS 软件测量这些变量之间的相关性。
右颞叶癫痫患者的平均 LI 评分最高，而左颞叶癫痫患者的平均 LI 评分最低。关于海马-语言网络，左半球内的连接值与左、右颞叶癫痫患者和健康对照组的 nLI 值呈强烈正相关（P = 0.035、0.014、0.047）。在所有组中，右半球内的连接值与 nLI 评分之间均无显著相关性。
本研究似乎描绘了静息状态下海马-语言功能网络的存在，该网络与左半球语言功能的侧化在颞叶癫痫患者和健康对照组中具有良好的相关性。
