乙醇对社交饮酒者脑电组织传导性的影响

IF 3.5 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Magnetic Resonance Imaging Pub Date : 2024-08-06 DOI:10.1002/jmri.29548

Jun Cao PhD, Iain K. Ball PhD, Elizabeth Summerell PhD, Peter Humburg PhD, Tom Denson PhD, Caroline D. Rae PhD

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The sedative, ethanol, reduces metabolic activity but its impact on brain electrical conductivity is unknown.</p>\n </section>\n \n <section>\n \n <h3> Purpose</h3>\n \n <p>To investigate whether ethanol reduces brain electrical tissue conductivity.</p>\n </section>\n \n <section>\n \n <h3> Study Type</h3>\n \n <p>Prospective.</p>\n </section>\n \n <section>\n \n <h3> Subjects</h3>\n \n <p>Fifty-two healthy volunteers (aged 18–37 years, 22 females, 30 males).</p>\n </section>\n \n <section>\n \n <h3> Field Strength/Sequence</h3>\n \n <p>3 T, T1-weighted, multi-shot, turbo-field echo (TFE); 3D balanced fast-field echo (bFFE).</p>\n </section>\n \n <section>\n \n <h3> Assessment</h3>\n \n <p>Brain gray and white matter tissue conductivity measured with phase-based magnetic resonance electrical properties tomography (MREPT) compared before and 20 minutes after ethanol consumption (0.7 g/kg body weight). Differential conductivity whole brain maps were generated for three subgroups: those with strong (<span></span><math>\n <mrow>\n <mo>∆</mo>\n <msub>\n <mi>σ</mi>\n <mi>max</mi>\n </msub>\n </mrow></math> > 0.1 S/m; N = 33), weak (0.02 S/m ≤ <span></span><math>\n <mrow>\n <mo>∆</mo>\n <msub>\n <mi>σ</mi>\n <mi>max</mi>\n </msub>\n </mrow></math> ≤ 0.1 S/m; N = 9) conductivity decrease, and no significant response (<span></span><math>\n <mrow>\n <mo>∆</mo>\n <msub>\n <mi>σ</mi>\n <mi>max</mi>\n </msub>\n </mrow></math> < 0.02 S/m, N = 10). Maps were compared in the strong response group where breath alcohol rose between scans, vs. those where it fell.</p>\n </section>\n \n <section>\n \n <h3> Statistical Tests</h3>\n \n <p>Average breath alcohol levels were compared to the differential conductivity maps using linear regression. T-maps were generated (threshold <i>P</i> < 0.05 and <i>P</i> < 0.001; minimum cluster 48 mm<sup>3</sup>). 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引用次数: 0

摘要

背景：人们对电导率的生物物理学测量与大脑活动之间的关系知之甚少。目的：研究乙醇是否会降低脑电组织的传导性：研究类型：前瞻性：52名健康志愿者（18-37岁，22名女性，30名男性）：3T、T1加权、多拍、涡轮场回波（TFE）；三维平衡快速场回波（bFFE）：评估：通过相位磁共振电特性断层扫描（MREPT）测量大脑灰质和白质组织的电导率，并在服用乙醇（0.7 克/千克体重）之前和之后 20 分钟进行比较。为三个亚组生成了不同的全脑电导率图：强（∆ σ max $$ \Delta {\sigma}_{\mathrm{max}} $$ > 0.1 S/m；N = 33）、弱（0.02 S/m ≤ ∆ σ max $$ \Delta {\sigma}_{\mathrm{max}} $$ ≤ 0.1 S/m ≤ ∆ σ max $$ \Delta {\sigma}_{\mathrm{max}} $$ \Delta {\sigma}_{\mathrm{max}} $$ ≥ 0.1 S/m$$ ≤ 0.1 S/m; N = 9）电导率下降，无明显反应（∆ σ max $$ \Delta {\sigma}_{\mathrm{max}}$$ 统计测试：使用线性回归法将平均呼气酒精水平与差异电导图进行比较。生成 T 图（阈值 P 3）。用方差分析比较差异传导图：结果：整组分析表明，电导率下降不符合统计阈值。强反应者（N = 33）在额叶/枕叶和小脑白质显示出一致的电导率显著下降模式（∆ σ max $$ \Delta {\sigma}_{\mathrm{max}} $$ > 0.1 S/m）。弱反应组（N = 9）显示出类似的电导率下降模式（0.02 S/m ≤ ∆ σ max $$ \Delta {\sigma}_{mathrm{max}} $$ ≤ 0.1 S/m）。这与呼气酒精含量、饮酒、年龄、种族或性别没有明显关系。在扫描过程中，强反应者的区域反应在酒精上升（N = 12）或下降（N = 20）时有所不同：数据结论：乙醇降低脑组织传导性的方式取决于参与者和空间。

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Effect of Ethanol on Brain Electrical Tissue Conductivity in Social Drinkers

Background

How the biophysics of electrical conductivity measures relate to brain activity is poorly understood. The sedative, ethanol, reduces metabolic activity but its impact on brain electrical conductivity is unknown.

Purpose

To investigate whether ethanol reduces brain electrical tissue conductivity.

Study Type

Prospective.

Subjects

Fifty-two healthy volunteers (aged 18–37 years, 22 females, 30 males).

Field Strength/Sequence

3 T, T1-weighted, multi-shot, turbo-field echo (TFE); 3D balanced fast-field echo (bFFE).

Assessment

Brain gray and white matter tissue conductivity measured with phase-based magnetic resonance electrical properties tomography (MREPT) compared before and 20 minutes after ethanol consumption (0.7 g/kg body weight). Differential conductivity whole brain maps were generated for three subgroups: those with strong ( $∆ σ_{\max}$ > 0.1 S/m; N = 33), weak (0.02 S/m ≤ $∆ σ_{\max}$ ≤ 0.1 S/m; N = 9) conductivity decrease, and no significant response ( $∆ σ_{\max}$ < 0.02 S/m, N = 10). Maps were compared in the strong response group where breath alcohol rose between scans, vs. those where it fell.

Statistical Tests

Average breath alcohol levels were compared to the differential conductivity maps using linear regression. T-maps were generated (threshold P < 0.05 and P < 0.001; minimum cluster 48 mm³). Differential conductivity maps were compared with ANOVA.

Results

Whole-group analysis showed decreased conductivity that did not survive statistical thresholding. Strong responders (N = 33) showed a consistent pattern of significantly decreased conductivity ( $∆ σ_{\max}$ > 0.1 S/m) in frontal/occipital and cerebellar white matter. The weak response group (N = 9) showed a similar pattern of conductivity decrease (0.02 S/m ≤ $∆ σ_{\max}$ ≤ 0.1 S/m). There was no significant relationship with breath alcohol levels, alcohol use, age, ethnicity, or sex. The strong responders' regional response was different between ascending (N = 12) or descending (N = 20) alcohol during the scan.

Data Conclusion

Ethanol reduces brain tissue conductivity in a participant-dependent and spatially dependent fashion.

Evidence Level

Technical Efficacy

Stage 2

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来源期刊

Journal of Magnetic Resonance Imaging 医学-核医学

CiteScore

9.70

自引率

6.80%

发文量

494

审稿时长

2 months

期刊介绍： The Journal of Magnetic Resonance Imaging (JMRI) is an international journal devoted to the timely publication of basic and clinical research, educational and review articles, and other information related to the diagnostic applications of magnetic resonance.