Suppr超能文献

酒精使用障碍中的执行功能损害反映了大规模脑网络的结构变化:基于灰质和白质特征的联合独立成分分析

Executive Impairment in Alcohol Use Disorder Reflects Structural Changes in Large-Scale Brain Networks: A Joint Independent Component Analysis on Gray-Matter and White-Matter Features.

作者信息

Crespi Chiara, Galandra Caterina, Manera Marina, Basso Gianpaolo, Poggi Paolo, Canessa Nicola

机构信息

NEtS Center, Scuola Universitaria Superiore Istituto Universitario di Studi Superiori Pavia, Pavia, Italy.

Cognitive Neuroscience Laboratory, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.

出版信息

Front Psychol. 2019 Nov 26;10:2479. doi: 10.3389/fpsyg.2019.02479. eCollection 2019.

Abstract

Alcohol Use Disorder (AUD) entails chronic effects on brain structure. Neurodegeneration due to alcohol toxicity is a neural signature of executive impairment typically observed in AUD, previously related to both gray-matter volume/density and white-matter abnormalities. Recent studies highlighted the role of meso-cortico-limbic structures supporting the salience and executive networks, in which the extent of neurostructural damage is significantly related to patients' executive performance. Here we aim to integrate multimodal information on gray-matter and white-matter features with a multivariate data-driven approach (joint Independent Component Analysis, jICA), and to assess the relationship between the extent of damage in the resulting neurostructural superordinate components and executive profile in AUD. Twenty-two AUD patients and 18 matched healthy controls (HC) underwent a Magnetic Resonance Imaging (MRI) protocol, alongside clinical and neuropsychological examinations. We ran jICA on five neurostructural features, including gray-matter density and different diffusion tensor imaging metrics. We extracted 12 Independent Components (ICs) and compared the resulting mixing coefficients in patients vs. HC. Finally, we correlated significant ICs with executive and clinical variables. One out of 12 ICs (IC11) discriminated patients from healthy controls and correlated positively both with executive performance in all subjects, and with lifetime duration of alcohol abuse in patients. In line with previous related evidence, this component involved widespread gray-matter and white-matter patterns including key nodes and fiber tracts of salience, default-mode and central executive networks. These findings highlighted the role of multivariate data integration as a valuable approach revealing superordinate hallmarks of neural changes related to cognition in neurological and psychiatric populations.

摘要

酒精使用障碍(AUD)会对大脑结构产生慢性影响。酒精毒性导致的神经退行性变是AUD中通常观察到的执行功能障碍的神经特征,此前与灰质体积/密度和白质异常均有关。最近的研究强调了支持显著性和执行网络的中脑-皮质-边缘结构的作用,其中神经结构损伤的程度与患者的执行功能表现显著相关。在这里,我们旨在采用多变量数据驱动方法(联合独立成分分析,jICA)整合关于灰质和白质特征的多模态信息,并评估AUD中所得神经结构上级成分的损伤程度与执行功能概况之间的关系。22名AUD患者和18名匹配的健康对照者(HC)接受了磁共振成像(MRI)检查,同时进行了临床和神经心理学检查。我们对包括灰质密度和不同扩散张量成像指标在内的五个神经结构特征进行了jICA分析。我们提取了12个独立成分(IC),并比较了患者与HC中所得的混合系数。最后,我们将显著的IC与执行功能和临床变量进行了关联分析。12个IC中的一个(IC11)能够区分患者与健康对照者,并且与所有受试者的执行功能表现以及患者的酒精滥用终生时长均呈正相关。与先前的相关证据一致,该成分涉及广泛的灰质和白质模式,包括显著性、默认模式和中央执行网络的关键节点和纤维束。这些发现强调了多变量数据整合作为一种有价值的方法在揭示神经和精神疾病人群中与认知相关的神经变化的上级特征方面的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/293f/6988803/922bd176ceea/fpsyg-10-02479-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验