Rasgado-Toledo Jalil, Duvvada Sai Siddharth, Shah Apurva, Ingalhalikar Madhura, Alluri Vinoo, Garza-Villarreal Eduardo A
Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico.
Cognitive Science Lab, International Institute of Information Technology, Hyderabad, India.
Prog Neuropsychopharmacol Biol Psychiatry. 2024 Jan 10;128:110862. doi: 10.1016/j.pnpbp.2023.110862. Epub 2023 Sep 9.
Cocaine use disorder (CUD) is described as a compulsive urge to seek and consume cocaine despite the inimical consequences. MRI studies from different modalities have shown that CUD patients exhibit structural and/or functional connectivity pathology among several brain regions. Nevertheless, both connectivities are commonly studied and analyzed separately, which may potentially obscure its relationship between them, and with the clinical pathology. Here, we compare structural and functional brain networks in CUD patients and healthy controls (HC) using multimodal fusion. The sample consisted of 63 (8 females) CUD patients and 42 (9 females) healthy controls (HC), recruited as part of the SUDMEX CONN database. For this, we computed a battery of graph-based measures from multi-shell diffusion-weighted imaging and resting state fc-fMRI to quantify local and global connectivity. Then we used multimodal canonical component analysis plus joint independent component analysis (mCCA+jICA) to compare between techniques and evaluate group differences and its association with clinical alteration. Unimodal results showed a striatal decrease in the participation coefficient but applied supervised data fusion revealed other regions with cocaine-related alterations in joint functional communication. When performing multimodal fusion analysis, we observed a higher centrality of the interrelationship and a lower participation coefficient in patients with CUD. In contrast to the unimodal approach, the multimodal fusion method was able to reveal latent information about brain regions involved in impairment due to cocaine abuse. The present results could help in understanding the pathology of CUD to develop better pre-treatment/post-treatment intervention designs.
可卡因使用障碍(CUD)被描述为一种尽管有不良后果但仍强迫性地寻求和使用可卡因的冲动。来自不同模式的MRI研究表明,CUD患者在几个脑区表现出结构和/或功能连接病理。然而,这两种连接通常是分别进行研究和分析的,这可能会潜在地掩盖它们之间以及与临床病理的关系。在这里,我们使用多模态融合比较CUD患者和健康对照(HC)的脑结构和功能网络。样本包括作为SUDMEX CONN数据库一部分招募的63名(8名女性)CUD患者和42名(9名女性)健康对照(HC)。为此,我们从多壳扩散加权成像和静息态功能连接性磁共振成像(fc-fMRI)计算了一系列基于图的测量指标,以量化局部和全局连接性。然后我们使用多模态典型成分分析联合独立成分分析(mCCA+jICA)来比较技术之间的差异,并评估组间差异及其与临床改变的关联。单模态结果显示纹状体参与系数降低,但应用监督数据融合揭示了其他在联合功能通信方面与可卡因相关改变的区域。在进行多模态融合分析时,我们观察到CUD患者的相互关系中心性更高,参与系数更低。与单模态方法不同,多模态融合方法能够揭示因可卡因滥用而受损的脑区的潜在信息。目前的结果有助于理解CUD的病理,以制定更好的治疗前/治疗后干预设计。