Hobkirk Andréa L, Bitzer Zachary, Goel Reema, Sica Christopher T, Livelsberger Craig, Yingst Jessica, Houser Kenneth R, Rupprecht Sebastian, Trushin Neil, Karunanayaka Prasanna, Foulds Jonathan, Richie John P, Spreen Lauren, Hoglen Brianna, Wang Jianli, Elias Ryan J, Yang Qing X
Department of Psychiatry, Pennsylvania State University College of Medicine, Hershey, PA, USA.
Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA.
Subst Abuse. 2020 Feb 11;14:1178221820904140. doi: 10.1177/1178221820904140. eCollection 2020.
Public health concerns over the addictive potential of electronic cigarettes (e-cigs) have heightened in recent years. Brain function during e-cig use could provide an objective measure of the addictive potential of new vaping products to facilitate research; however, there are limited methods for delivering e-cig aerosols during functional magnetic resonance imaging (fMRI). The current study describes the development and feasibility testing of a prototype to deliver up to four different e-cig aerosols during fMRI.
Standardized methods were used to test the devices' air flow variability, nicotine yield, and free radical production. MRI scans were run with and without the device present to assess its safety and effects on MRI data quality. Five daily smokers were recruited to assess plasma nicotine absorption from e-liquids containing nicotine concentrations of 8, 11, 16, 24, and 36 mg/ml. Feedback was collected from participants through a semi-structured interview and computerized questionnaire to assess comfort and subjective experiences of inhaling aerosol from the device.
Nicotine yield captured from the aerosol produced by the device was highly correlated with the nicotine concentration of the e-liquids used (R = 0.965). Nicotine yield was reduced by a mean of 48% and free radical production by 17% after traveling through the device. The e-liquid containing the highest nicotine concentration tested (36 mg/ml) resulted in the highest plasma nicotine boost (6.6 ng/ml). Overall, participants reported that the device was comfortable to use and inhaling the e-cig aerosols was tolerable. The device was determined to be safe for use during fMRI and had insignificant effects on scan quality.
With the current project, we were able to design a working prototype that safely and effectively delivers e-cig aerosols during fMRI. The device has the potential to be used to assess brain activation during e-cig use and to compare brain reactivity to varying flavors, nicotine concentrations, and other e-cig characteristics.
近年来,公众对电子烟的成瘾潜力愈发担忧。使用电子烟期间的脑功能可为新型雾化产品的成瘾潜力提供客观衡量标准,以推动相关研究;然而,在功能磁共振成像(fMRI)过程中输送电子烟烟雾的方法有限。本研究描述了一种在fMRI期间输送多达四种不同电子烟烟雾的原型设备的开发及可行性测试。
采用标准化方法测试设备的气流变异性、尼古丁产量和自由基生成情况。在有和没有该设备的情况下进行MRI扫描,以评估其安全性及对MRI数据质量的影响。招募了五名每日吸烟者,以评估从尼古丁浓度分别为8、11、16、24和36毫克/毫升的电子烟液中吸收的血浆尼古丁含量。通过半结构化访谈和计算机化问卷收集参与者的反馈,以评估从该设备吸入烟雾的舒适度和主观体验。
该设备产生的烟雾中捕获的尼古丁产量与所用电子烟液的尼古丁浓度高度相关(R = 0.965)。烟雾通过该设备后,尼古丁产量平均降低48%,自由基生成量降低17%。测试的尼古丁浓度最高的电子烟液(36毫克/毫升)导致血浆尼古丁含量提升最高(6.6纳克/毫升)。总体而言,参与者报告称该设备使用舒适,吸入电子烟烟雾可以耐受。该设备被确定在fMRI期间使用安全,对扫描质量影响不大。
通过当前项目,我们能够设计出一种在fMRI期间安全有效地输送电子烟烟雾的实用原型设备。该设备有潜力用于评估使用电子烟期间的脑激活情况,并比较大脑对不同口味、尼古丁浓度和其他电子烟特性的反应。