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EEG Functional Connectivity and Cognitive Variables in Premanifest and Manifest Huntington’s Disease: EEG Low-Resolution Brain Electromagnetic Tomography (LORETA) Study

机译:EEG功能连接和认知变量在母线和卷积亨廷顿的疾病中:EEG低分辨率脑电磁性断层扫描(Loreta)研究

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摘要

BackgroundScientific literature does not offer sufficient data on electroencephalography (EEG) functional connectivity and its correlations with clinical and cognitive features in premanifest and manifest HD.AimThis study tries to identify abnormal EEG patterns of functional connectivity, in conditions of “brain resting state” and correlations with motor decline and cognitive variable in Huntington’s disease (HD), in premanifest and manifest phase, looking for a reliable marker measuring disease progression.MethodThis was an observational cross-sectional study; 105 subjects with age ≥18 years submitted to HD genetic test. Each subject underwent a neurological, psychiatric, and cognitive assessment, EEG recording and genetic investigation for detecting the expansion of the CAG trait. EEG connectivity analysis was performed by means of exact Low Resolution Electric Tomography (eLORETA) in 18 premanifest HD (pHD), 49 manifest HD (mHD), and 38 control (C) subjects.ResultsHD patients showed a Power Spectral Density reduced in the alpha range and increased in delta band compared to controls; no difference was detectable between pHD and mHD; the Global Connectivity in pHD revealed no significant differences if compared to mHD. The Current Source Density was similar among groups. No statistically significant results when comparing pHD with C group, even in comparison of mHD with Controls, and pHD with mHD. mHD compared to Controls showed a significant increase in delta, alpha1, alpha2, beta2, and beta3. Lagged Phase Synchronization in delta, alpha1, alpha2, beta2, and beta3 bands was increased in HD compared to controls (t = −3.921, p < 0.05). A significant correlation was found in Regression Analysis: statistically significant results in pHD for the “Symbol Digit Modality Test and lagged phase synchronization” in the Beta1 (r = −0.806, p < 0.05) in the prefrontal regions. The same correlation was found in mHD for the Stroop Word Reading Test (SWRT) in the Alpha2 band (r = −0.759, p < 0.05).ConclusionIncreased phase synchronization in main bands characterized EEG in HD patients, as compared to controls. pHD were not dissimilar from mHD as regard to this EEG pattern. Increased phase synchronization correlated to cognitive decline in HD patients, with a similar trend in pHD, suggesting that it would be a potential biomarker of early phenotypical expression.
机译:背景技术不提供关于脑电图(EEG)功能连通性的足够数据,其与初始和认知特征的相关性,并且在母线上的临床和认知特征中的相关性尝试识别“脑休息状态”条件下的功能连通性的异常EEG模式和相关性随着亨廷顿疾病(HD)的电动机下降和认知变量,在预留和清单阶段,寻找可靠的标记测量疾病进展。方法是一个观察性横截面研究; 105名受试者≥18岁,提交HD遗传测试。每个受试者接受了神经,精神病和认知评估,EEG记录和遗传调查,用于检测CAG特性的扩张。通过精确的低分辨率电断层扫描(Eloreta)在18个预分辨率的HD(PHD),49个清单HD(MHD)中进行EEG连接分析,38个对照(C)受试者。患者在α中表现出功率谱密度降低与控制相比,三角带中的范围和增加; PHD和MHD之间无法检测到差异。与MHD相比,PHD的全局连接没有显着差异。电流密度之间的源密度相似。在将PHD与C组比较时没有统计学显着的结果,即使与对照组的MHD和MHD的PHD相比,也是如此。与对照相比,MHD显示δ,α1,α2,β2和β3的显着增加。与对照相比,在HD中增加了δ,α1,α2,β2和β3带中的滞后相同步(T = -3.921,P <0.05)。在回归分析中发现了显着的相关性:在前额外区域中的β1(r = -0.806,p <0.05)中的“符号数字模型测试和滞后相同步”的统计上显着的结果。在α2频段中的Swroop Word读数测试(SWRT)中发现了相同的相关性(r = -0.759,p <0.05)。与对照相比,在高清患者的主带中的脑电图中的Clusualcreascrease同步。博士学位与MHD不相似,视为这个脑电图。增加的相同步与高清患者的认知下降相关,具有类似的博士学位趋势,表明它将是早期表型表达的潜在生物标志物。

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