The usefulness of sLORETA in evaluating the effect of high-dose ARA-C on brain connectivity in patients with acute myeloid leukemia: an exploratory study.

Q2 Medicine Functional neurology Pub Date : 2017-10-01 DOI:10.11138/fneur/2017.32.4.195
A Zarabla, S Ungania, A Cacciatore, A Maialetti, G Petreri, A Mengarelli, A Spadea, F Marchesi, D Renzi, Svitlana Gumenyuk, L Strigari, Marta Maschio
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Abstract

Cytosine arabinoside (Ara-C) is one of the key drugs for treating acute myeloid leukemia (AML). High intravenous doses may produce a number of central nervous system (CNS) toxicities and contribute to modifications in brain functional connectivity. sLORETA is a software used for localizing brain electrical activity and functional connectivity. The aim of this study was to apply sLORETA in the evaluation of possible effects of Ara-C on brain connectivity in patients with AML without CNS involvement. We studied eight patients with AML; four were administered standard doses of Ara-C while the other four received high doses. sLORETA was computed from computerized EEG data before treatment and after six months of treatment. Three regions of interest, corresponding to specific combinations of Brodmann areas, were defined. In the patients receiving high-dose Ara-C, a statistically significant reduction in functional connectivity was observed in the fronto-parietal network, which literature data suggest is involved in attentional processes. Our data highlight the possibility of using novel techniques to study potential CNS toxicity of cancer therapy.

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sLORETA在评估高剂量ARA-C对急性髓性白血病患者脑连通性影响中的有效性:一项探索性研究。
阿拉伯糖胞嘧啶是治疗急性髓性白血病(AML)的关键药物之一。高静脉注射剂量可能产生许多中枢神经系统(CNS)毒性,并导致脑功能连接的改变。sLORETA是一种用于定位脑电活动和功能连接的软件。本研究的目的是应用sLORETA评估Ara-C对未累及中枢神经系统的AML患者脑连通性的可能影响。我们研究了8名AML患者;其中四人接受标准剂量的Ara-C,另外四人接受高剂量的Ara-C。根据治疗前和治疗6个月后的脑电图数据计算sLORETA。定义了三个感兴趣的区域,对应于Brodmann区域的特定组合。在接受高剂量Ara-C的患者中,观察到额顶叶网络功能连接的统计学显著减少,文献数据表明该网络参与注意过程。我们的数据强调了使用新技术来研究癌症治疗潜在的中枢神经系统毒性的可能性。
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来源期刊
Functional neurology
Functional neurology 医学-神经科学
CiteScore
3.90
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0.00%
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0
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>12 weeks
期刊介绍: Information not localized
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