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《Brain stimulation》2022,15(2):337-351
BackgroundAbnormalities in frontoparietal network (FPN) were observed in many neuropsychiatric diseases including substance use disorders. A growing number of studies are using dual-site-tACS with frontoparietal synchronization to engage this network. However, a computational pathway to inform and optimize parameter space for frontoparietal synchronization is still lacking. In this case study, in a group of participants with methamphetamine use disorders, we proposed a computational pathway to extract optimal electrode montage while accounting for stimulation intensity using structural and functional MRI.MethodsSixty methamphetamine users completed an fMRI drug cue-reactivity task. Four main steps were taken to define electrode montage and adjust stimulation intensity using 4x1 high-definition (HD) electrodes for a dual-site-tACS; (1) Frontal seed was defined based on the maximum electric fields (EF) predicted by simulation of HD montage over DLPFC (F3/F4 in EEG 10–10), (2) frontal seed-to-whole brain context-dependent correlation was calculated to determine connected regions to frontal seeds, (3) center of connected cluster in parietal cortex was selected as a location for placing the second set of HD electrodes to shape the informed montage, (4) individualized head models were used to determine optimal stimulation intensity considering underlying brain structure. The informed montage was compared to montages with large electrodes and classic frontoparietal HD montages (F3-P3/F4-P4) in terms of tACS-induced EF and ROI-to-ROI task-based/resting-state connectivity.ResultsCompared to the large electrodes, HD frontoparietal montages allow for a finer control of the spatial peak fields in the main nodes of the FPN at the cost of lower maximum EF (large-pad/HD: max EF[V/m] = 0.37/0.11, number of cortical sub-regions that EF exceeds 50% of the max = 77/13). For defining stimulation targets based on EF patterns, using group-level head models compared to a single standard head model results in comparable but significantly different seed locations (6.43 mm Euclidean distance between the locations of the frontal maximum EF in standard-space). As expected, significant task-based/resting-state connections were only found between frontal-parietal locations in the informed montage. Cue-induced craving score was correlated with frontoparietal connectivity only in the informed montage (r = ?0.24). Stimulation intensity in the informed montage, and not in the classic HD montage, needs 40% reduction in the parietal site to reduce the disparity in EF between stimulation sites.ConclusionThis study provides some empirical insights to montage and dose selection in dual-site-tACS using individual brain structures and functions and proposes a computational pathway to use head models and functional MRI to define (1) optimum electrode montage for targeting FPN in a context of interest (drug-cue-reactivity) and (2) proper transcranial stimulation intensity.  相似文献   
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PurposeThe purpose of this study was to determine whether computed tomography (CT)-based machine learning of radiomics features could help distinguish autoimmune pancreatitis (AIP) from pancreatic ductal adenocarcinoma (PDAC).Materials and MethodsEighty-nine patients with AIP (65 men, 24 women; mean age, 59.7 ± 13.9 [SD] years; range: 21–83 years) and 93 patients with PDAC (68 men, 25 women; mean age, 60.1 ± 12.3 [SD] years; range: 36–86 years) were retrospectively included. All patients had dedicated dual-phase pancreatic protocol CT between 2004 and 2018. Thin-slice images (0.75/0.5 mm thickness/increment) were compared with thick-slices images (3 or 5 mm thickness/increment). Pancreatic regions involved by PDAC or AIP (areas of enlargement, altered enhancement, effacement of pancreatic duct) as well as uninvolved parenchyma were segmented as three-dimensional volumes. Four hundred and thirty-one radiomics features were extracted and a random forest was used to distinguish AIP from PDAC. CT data of 60 AIP and 60 PDAC patients were used for training and those of 29 AIP and 33 PDAC independent patients were used for testing.ResultsThe pancreas was diffusely involved in 37 (37/89; 41.6%) patients with AIP and not diffusely in 52 (52/89; 58.4%) patients. Using machine learning, 95.2% (59/62; 95% confidence interval [CI]: 89.8–100%), 83.9% (52:67; 95% CI: 74.7–93.0%) and 77.4% (48/62; 95% CI: 67.0–87.8%) of the 62 test patients were correctly classified as either having PDAC or AIP with thin-slice venous phase, thin-slice arterial phase, and thick-slice venous phase CT, respectively. Three of the 29 patients with AIP (3/29; 10.3%) were incorrectly classified as having PDAC but all 33 patients with PDAC (33/33; 100%) were correctly classified with thin-slice venous phase with 89.7% sensitivity (26/29; 95% CI: 78.6–100%) and 100% specificity (33/33; 95% CI: 93–100%) for the diagnosis of AIP, 95.2% accuracy (59/62; 95% CI: 89.8–100%) and area under the curve of 0.975 (95% CI: 0.936–1.0).ConclusionsRadiomic features help differentiate AIP from PDAC with an overall accuracy of 95.2%.  相似文献   
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目的探讨阻塞性睡眠呼吸暂停低通气综合征(OSAHS)CYP3A4基因的多态性,了解其对芬太尼类药物的敏感性及不同基因型的人群分布特征,指导临床个体化用药。方法对50例OSAHS患者进行CYP3A4基因的多态性检测,采静脉血,通过DNA抽提-PCR扩增-焦磷酸测序方法检测CYP3A4基因。结果野生纯合型型34例(68%),突变杂合型15例(30%),突变纯合型型1例(2%)。结论OSAHS患者中约2%为AA型,该型对芬太尼类药物极其敏感,术后有易发生窒息的风险,应高度警惕芬太尼类药物呼吸抑制的潜在风险。  相似文献   
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目的探讨单纯 Ilizarov 环形外固定技术治疗合并骨筋膜室综合征的胫骨平台骨折的疗效。方法2013 年 9 月—2017 年 3 月,收治 30 例合并骨筋膜室综合征的胫骨平台骨折患者,采用单纯 Ilizarov 环形外固定技术治疗。男 23 例,女 7 例;年龄 23~43 岁,平均 34.4 岁。致伤原因:交通事故伤 12 例,高处坠落伤 4 例,摔伤 8 例,重物砸伤 6 例。受伤至入院时间 1~12 h,平均 4.8 h。骨折 Schatzker 分型:Ⅱ型 1 例、Ⅲ型 3 例、Ⅳ型 10 例、Ⅴ型 7 例、Ⅵ型 9 例。30 例均因骨筋膜室综合征行切开减压;切开减压至手术时间为 10~15 d,平均 12.5 d。治疗后采用膝关节学会评分系统(KSS)及 Ilizarov 方法研究与应用协会(ASAMI)协议评价膝关节功能。结果手术时间 110~155 min,平均 123.1 min;术中出血量 100~500 mL,平均 245 mL;术后住院时间 3~5 d,平均 3.8 d。患者均获随访,随访时间 20~24 周,平均 22.7 周。除 2 例患者出现针道感染征象外,无其他并发症发生。X 线片复查显示骨折均愈合,愈合时间 10~20 周,平均 14.6 周。末次随访时,膝关节 KSS 临床评分总分为 70~95 分,平均 87.5 分;功能评分总分为 70~90 分,平均 79.0 分。参照 ASAMI 协议评价获优 24 例、良 3 例、可 2 例、差 1 例。结论对于合并骨筋膜室综合征的胫骨平台骨折,单纯 Ilizarov 环形外固定技术治疗后患者关节功能可以基本恢复且并发症少,是一项相对安全、有效的治疗方法。  相似文献   
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目的探讨佛山市乙肝母婴阻断工作中存在的问题,为完善进一步工作提供思路。 方法采用队列研究的方法,以2017年佛山市HBsAg阳性产妇13 672例及其所分娩13 982例活产儿为研究对象,通过回顾性病历采集及前瞻性的随访追踪的方法,全面了解影响乙肝母婴阻断工作的主要因素。 结果2017年佛山市产妇HBsAg阳性率为10.14%,感染孕妇中HBeAg阳性率为24.13%,孕期HBV DNA检测率约5%,其中抗病毒治疗63例;新生儿乙肝免疫球蛋白接种率为99.84%;婴儿在出生后1年内完成乙肝疫苗三针接种的比率为81.71%,在完成三针乙肝疫苗接种的儿童中按照0-1-6程序接种的比率为62.65%;母婴阻断结果追踪率为40.16%,追踪儿童中母婴阻断失败34例,失败率为0.61%;产妇年龄低、HBeAg阳性、HepB未全程及规范接种是母婴阻断失败的危险因素(P<0.05)。儿童明确未检测的主要原因是拒绝检查、不知道要检查、提前检查和检测未提供结果,占99.07%。 结论加强信息沟通及健康教育,落实乙肝病毒感染产妇孕期DNA检测及抗病毒治疗,提高儿童乙肝疫苗的规范接种率,将暴露儿童的乙肝两对半检测纳入儿童保健管理工作,是实现全市乙肝母婴零传播的重要措施。  相似文献   
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