Jun Cao, Iain K Ball, Elizabeth Summerell, Peter Humburg, Tom Denson, Caroline D Rae
{"title":"乙醇对社交饮酒者脑电组织传导性的影响","authors":"Jun Cao, Iain K Ball, Elizabeth Summerell, Peter Humburg, Tom Denson, Caroline D Rae","doi":"10.1002/jmri.29548","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Purpose: </strong>To investigate whether ethanol reduces brain electrical tissue conductivity.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>Fifty-two healthy volunteers (aged 18-37 years, 22 females, 30 males).</p><p><strong>Field strength/sequence: </strong>3 T, T1-weighted, multi-shot, turbo-field echo (TFE); 3D balanced fast-field echo (bFFE).</p><p><strong>Assessment: </strong>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 ( <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.</p><p><strong>Statistical tests: </strong>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 mm<sup>3</sup>). Differential conductivity maps were compared with ANOVA.</p><p><strong>Results: </strong>Whole-group analysis showed decreased conductivity that did not survive statistical thresholding. Strong responders (N = 33) showed a consistent pattern of significantly decreased conductivity ( <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) in frontal/occipital and cerebellar white matter. The weak response group (N = 9) showed a similar pattern of conductivity decrease (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). 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.</p><p><strong>Data conclusion: </strong>Ethanol reduces brain tissue conductivity in a participant-dependent and spatially dependent fashion.</p><p><strong>Evidence level: </strong>1 TECHNICAL EFFICACY: Stage 2.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effect of Ethanol on Brain Electrical Tissue Conductivity in Social Drinkers.\",\"authors\":\"Jun Cao, Iain K Ball, Elizabeth Summerell, Peter Humburg, Tom Denson, Caroline D Rae\",\"doi\":\"10.1002/jmri.29548\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Purpose: </strong>To investigate whether ethanol reduces brain electrical tissue conductivity.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>Fifty-two healthy volunteers (aged 18-37 years, 22 females, 30 males).</p><p><strong>Field strength/sequence: </strong>3 T, T1-weighted, multi-shot, turbo-field echo (TFE); 3D balanced fast-field echo (bFFE).</p><p><strong>Assessment: </strong>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 ( <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.</p><p><strong>Statistical tests: </strong>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 mm<sup>3</sup>). Differential conductivity maps were compared with ANOVA.</p><p><strong>Results: </strong>Whole-group analysis showed decreased conductivity that did not survive statistical thresholding. Strong responders (N = 33) showed a consistent pattern of significantly decreased conductivity ( <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) in frontal/occipital and cerebellar white matter. The weak response group (N = 9) showed a similar pattern of conductivity decrease (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). 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.</p><p><strong>Data conclusion: </strong>Ethanol reduces brain tissue conductivity in a participant-dependent and spatially dependent fashion.</p><p><strong>Evidence level: </strong>1 TECHNICAL EFFICACY: Stage 2.</p>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/jmri.29548\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/jmri.29548","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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。
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.
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 ( > 0.1 S/m; N = 33), weak (0.02 S/m ≤ ≤ 0.1 S/m; N = 9) conductivity decrease, and no significant response ( < 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 ( > 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 ≤ ≤ 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.