Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson's Disease.
Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson's Disease.
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DOI：
10.3389/fnhum.2021.640591
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发表时间：
2021
影响因子：
2.9
通讯作者：
Bajwa JA
中科院分区：
文献类型：
--
作者：
Peña E;Mohammad TM;Almohammed F;AlOtaibi T;Nahrir S;Khan S;Poghosyan V;Johnson MD;Bajwa JA
帕金森病(PD)患者对多巴胺替代疗法的临床反应通常很难预测。我们描述了由短期L-多巴反应(SDR)引起的MDS-UPDRS运动因素评分的变化，并研究了如何通过运动皮质脑磁图(MEG)预测受试者之间的临床差异。MDS-UPDRS运动因子评分和静息状态脑磁图记录在SDR期间从20名诊断为PD的个体中收集。我们使用了一种基于线性支持向量机的新的特定对象策略来量化最好地预测药物状态的运动皮质振荡频率分布。不同个体的运动皮质轮廓有很大的不同，并且在多个数据折叠上显示出一致性。分类准确率与下肢运动迟缓的SDR之间存在线性关系，尽管这种关系在多重比较校正后并不持续，这表明仅有频谱功率特征的组合不足以预测临床状态。治疗反应的因素评分分析和基于特定对象的神经成像的新的特定对象的机器学习方法提供了预测帕金森病治疗结果的工具。
Clinical responses to dopamine replacement therapy for individuals with Parkinson’s disease (PD) are often difficult to predict. We characterized changes in MDS-UPDRS motor factor scores resulting from a short-duration L-Dopa response (SDR), and investigated how the inter-subject clinical differences could be predicted from motor cortical magnetoencephalography (MEG). MDS-UPDRS motor factor scores and resting-state MEG recordings were collected during SDR from twenty individuals with a PD diagnosis. We used a novel subject-specific strategy based on linear support vector machines to quantify motor cortical oscillatory frequency profiles that best predicted medication state. Motor cortical profiles differed substantially across individuals and showed consistency across multiple data folds. There was a linear relationship between classification accuracy and SDR of lower limb bradykinesia, although this relationship did not persist after multiple comparison correction, suggesting that combinations of spectral power features alone are insufficient to predict clinical state. Factor score analysis of therapeutic response and novel subject-specific machine learning approaches based on subject-specific neuroimaging provide tools to predict outcomes of therapies for PD.
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DOI：
10.1016/j.nicl.2017.02.010
发表时间：
2017
期刊：
NeuroImage. Clinical
影响因子：
--
作者：
Heinrichs-Graham E;Santamaria PM;Gendelman HE;Wilson TW
通讯作者：
Wilson TW
影响因子：
5.7
作者：
Guggenmos, Matthias;Sterzer, Philipp;Cichy, Radoslaw Martin
通讯作者：
Cichy, Radoslaw Martin
影响因子：
5.7
作者：
Dale, AM;Fischl, B;Sereno, MI
通讯作者：
Sereno, MI
影响因子：
5.7
作者：
Liuzzi, Lucrezia;Gascoyne, Lauren E.;Brookes, Matthew J.
通讯作者：
Brookes, Matthew J.
影响因子：
2.5
作者：
Heinrichs-Graham, Elizabeth;Kurz, Max J.;Wilson, Tony W.
通讯作者：
Wilson, Tony W.