大麻使用障碍的皮层形态:经颅直流电刺激治疗的意义。

Ghazaleh Soleimani, Farzad Towhidkhah, Mehrdad Saviz, Hamed Ekhtiari
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引用次数: 0

摘要

简介:经颅直流电刺激(tDCS)作为药物使用障碍(SUDs)的一种辅助治疗方法已被研究过。经颅直流电刺激后大脑结构的改变可能会改变经颅直流电刺激诱发的电场(EF)和随后的反应;然而,健康对照组(HC)和有药物使用障碍的参与者在 EF 及其与皮层结构的关联方面的群体级差异尚未得到定量建模。本研究提供了一种对计算头模型进行群体水平分析的方法,以研究皮质形态指标对EFs的影响:方法:研究人员进行了基于全脑表面的形态学研究,并比较了大麻使用障碍(CUD)参与者(20 人)和年龄匹配的正常人(22 人)的大脑皮层厚度、体积和表面积。同时,对背外侧前额叶皮层的双侧 tDCS 模拟了 EF。基于个性化计算头部模型,研究了结构改变对EF分布的影响:结果:关于 EF,在前额叶皮层内没有发现显著差异;然而,在左后中央回和右颞上回,EFs 有显著差异(P(39, 43)=5.31, PC结论:大脑形态学和 tDCS 对 EFs 的影响是不同的:CUD 后,大脑形态和 tDCS 诱导的 EFs 可能会发生变化;但是,CUD 和 HC 之间的 EFs 差异并不总是与出现结构改变的脑区重叠。为了充分调节刺激目标,应检查 CUD 患者是否需要根据 tDCS 目标位置使用不同的刺激剂量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cortical Morphology in Cannabis Use Disorder: Implications for Transcranial Direct Current Stimulation Treatment.

Introduction: Transcranial direct current stimulation (tDCS) has been studied as an adjunctive treatment option for substance use disorders (SUDs). Alterations in brain structure following SUD may change tDCS-induced electric field (EF) and subsequent responses; however, group-level differences between healthy controls (HC) and participants with SUDs in terms of EF and its association with cortical architecture have not yet been modeled quantitatively. This study provides a methodology for group-level analysis of computational head models to investigate the influence of cortical morphology metrics on EFs.

Methods: Whole-brain surface-based morphology was conducted, and cortical thickness, volume, and surface area were compared between participants with cannabis use disorders (CUD) (n=20) and age-matched HC (n=22). Meanwhile, EFs were simulated for bilateral tDCS over the dorsolateral prefrontal cortex. The effects of structural alterations on EF distribution were investigated based on individualized computational head models.

Results: Regarding EF, no significant difference was found within the prefrontal cortex; however, EFs were significantly different in left-postcentral and right-superior temporal gyrus (P<0.05) with higher levels of variance in CUD compared to HC [F(39, 43)=5.31, P<0.0001, C=0.95]. Significant differences were observed in cortical area (caudal anterior cingulate and rostral middle frontal), thickness (lateral orbitofrontal), and volume (paracentral and fusiform) between the two groups.

Conclusion: Brain morphology and tDCS-induced EFs may be changed following CUD; however, differences between CUD and HCs in EFs do not always overlap with brain areas that show structural alterations. To sufficiently modulate stimulation targets, whether individuals with CUD need different stimulation doses based on tDCS target location should be checked.

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