乙醇对社交饮酒者脑电组织传导性的影响

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-08-06 DOI:10.1002/jmri.29548

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

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Differential conductivity whole brain maps were generated for three subgroups: those with strong ( <math> <semantics><mrow><mo>∆</mo> <msub><mi>σ</mi> <mi>max</mi></msub> </mrow> <annotation>$$ \\Delta {\\sigma}_{\\mathrm{max}} $$</annotation></semantics> </math> > 0.1 S/m; N = 33), weak (0.02 S/m ≤ <math> <semantics><mrow><mo>∆</mo> <msub><mi>σ</mi> <mi>max</mi></msub> </mrow> <annotation>$$ \\Delta {\\sigma}_{\\mathrm{max}} $$</annotation></semantics> </math> ≤ 0.1 S/m; N = 9) conductivity decrease, and no significant response ( <math> <semantics><mrow><mo>∆</mo> <msub><mi>σ</mi> <mi>max</mi></msub> </mrow> <annotation>$$ \\Delta {\\sigma}_{\\mathrm{max}} $$</annotation></semantics> </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.Statistical tests: Average breath alcohol levels were compared to the differential conductivity maps using linear regression. 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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.