White matter microstructural alterations are associated with cognitive decline in benzodiazepine use disorders: a multi-shell diffusion magnetic resonance imaging study.
IF 2.9 2区 医学Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Meizhi Yi, Tianyao Wang, Xun Li, Yihong Jiang, Yan Wang, Luokai Zhang, Wen Chen, Jun Hu, Huiting Wu, Yang Zhou, Guanghua Luo, Jun Liu, Hong Zhou
{"title":"White matter microstructural alterations are associated with cognitive decline in benzodiazepine use disorders: a multi-shell diffusion magnetic resonance imaging study.","authors":"Meizhi Yi, Tianyao Wang, Xun Li, Yihong Jiang, Yan Wang, Luokai Zhang, Wen Chen, Jun Hu, Huiting Wu, Yang Zhou, Guanghua Luo, Jun Liu, Hong Zhou","doi":"10.21037/qims-24-1516","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Benzodiazepine use disorders (BUDs) have become a public health issue that cannot be ignored. We aimed to demonstrate that patients with BUDs might undergo changes in white matter (WM) integrity, which are related to impaired cognitive function.</p><p><strong>Methods: </strong>We used diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI), and mean apparent propagator (MAP) to observe changes in WM structure from 29 patients with sleep disorders with BUD (SDBUD), 33 patients with sleep disorders with non-BUD (SDNBUD), and 25 healthy participants. We also compared the diagnostic performance of the diffusion metrics and models in predicting the status of BUDs and evaluated the relationship between WM changes and cognitive impairment.</p><p><strong>Results: </strong>BUD was closely associated with WM damage in the corpus callosum (CC) and pontine crossing tract (PCT). There were 14 main diffusion metrics that could be used to predict BUD status (P=0.001-0.023). DTI, DKI, NODDI, and MAP had similar satisfactory performance for predicting BUD status (P=0.001-0.021). Pearson correlation analysis showed a close relationship between the Trail Making Test B (TMT-B) and DTI/NODDI metrics in the splenium of the CC and PCT and between the Montreal Cognitive Assessment (MoCA) and MAP metrics in the splenium of the CC in the SDBUD group (P=0.008-0.040).</p><p><strong>Conclusions: </strong>Our findings provide evidence for the neurobiological mechanism of benzodiazepine addiction and a novel method for the clinical diagnosis of BUDs.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 3","pages":"2076-2093"},"PeriodicalIF":2.9000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11948404/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Imaging in Medicine and Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/qims-24-1516","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/26 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Benzodiazepine use disorders (BUDs) have become a public health issue that cannot be ignored. We aimed to demonstrate that patients with BUDs might undergo changes in white matter (WM) integrity, which are related to impaired cognitive function.
Methods: We used diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI), and mean apparent propagator (MAP) to observe changes in WM structure from 29 patients with sleep disorders with BUD (SDBUD), 33 patients with sleep disorders with non-BUD (SDNBUD), and 25 healthy participants. We also compared the diagnostic performance of the diffusion metrics and models in predicting the status of BUDs and evaluated the relationship between WM changes and cognitive impairment.
Results: BUD was closely associated with WM damage in the corpus callosum (CC) and pontine crossing tract (PCT). There were 14 main diffusion metrics that could be used to predict BUD status (P=0.001-0.023). DTI, DKI, NODDI, and MAP had similar satisfactory performance for predicting BUD status (P=0.001-0.021). Pearson correlation analysis showed a close relationship between the Trail Making Test B (TMT-B) and DTI/NODDI metrics in the splenium of the CC and PCT and between the Montreal Cognitive Assessment (MoCA) and MAP metrics in the splenium of the CC in the SDBUD group (P=0.008-0.040).
Conclusions: Our findings provide evidence for the neurobiological mechanism of benzodiazepine addiction and a novel method for the clinical diagnosis of BUDs.
背景:苯二氮卓类药物使用障碍(BUDs)已成为一个不容忽视的公共卫生问题。我们的目的是证明芽孢杆菌患者可能经历白质(WM)完整性的改变,这与认知功能受损有关。方法:应用弥散张量成像(DTI)、弥散峰度成像(DKI)、神经突定向弥散密度成像(NODDI)和平均视传播子(MAP)观察29例睡眠障碍伴BUD (SDBUD)、33例睡眠障碍伴非BUD (SDNBUD)和25例健康受试者WM结构的变化。我们还比较了弥散指标和模型在预测芽肿状态方面的诊断性能,并评估了WM变化与认知功能障碍之间的关系。结果:BUD与胼胝体(CC)和脑桥交叉束(PCT)的WM损伤密切相关。有14个主要的扩散指标可用于预测BUD状态(P=0.001-0.023)。DTI、DKI、NODDI和MAP在预测BUD状态方面具有相似的满意效果(P=0.001-0.021)。Pearson相关分析显示,SDBUD组CC脾中Trail Making Test B (TMT-B)与DTI/NODDI指标、蒙特利尔认知评估(MoCA)与MAP指标之间存在密切关系(P=0.008-0.040)。结论:本研究结果为苯二氮卓类药物成瘾的神经生物学机制提供了证据,并为临床诊断提供了一种新的方法。