The Mexican magnetic resonance imaging dataset of patients with cocaine use disorder: SUDMEX CONN

• Published in: Scientific data Vol. 9; no. 1; p. 133
• Main Authors: Angeles-Valdez, Diego, Rasgado-Toledo, Jalil, Issa-Garcia, Victor, Balducci, Thania, Villicaña, Viviana, Valencia, Alely, Gonzalez-Olvera, Jorge Julio, Reyes-Zamorano, Ernesto, Garza-Villarreal, Eduardo A
• Format: Journal Article
• Language: English
• Published: England Nature Publishing Group 31.03.2022; Nature Publishing Group UK; Nature Portfolio
• Subjects: Brain - diagnostic imaging; Brain mapping; Cocaine; Cocaine-Related Disorders; Cognitive ability; Data Descriptor; Datasets; Drug abuse; Functional magnetic resonance imaging; Humans; Magnetic Resonance Imaging; Mexico; Neuroimaging; Patients; Mexico
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/s41597-022-01251-3

Cocaine use disorder (CUD) is a substance use disorder (SUD) characterized by compulsion to seek, use and abuse of cocaine, with severe health and economic consequences for the patients, their families and society. Due to the lack of successful treatments and high relapse rate, more research is needed to understand this and other SUD. Here, we present the SUDMEX CONN dataset, a Mexican open dataset of 74 CUD patients (9 female) and matched 64 healthy controls (6 female) that includes demographic, cognitive, clinical, and magnetic resonance imaging (MRI) data. MRI data includes: 1) structural (T1-weighted), 2) multishell high-angular resolution diffusion-weighted (DWI-HARDI) and 3) functional (resting state fMRI) sequences. The repository contains unprocessed MRI data available in brain imaging data structure (BIDS) format with corresponding metadata available at the OpenNeuro data sharing platform. Researchers can pursue brain variability between these groups or use a single group for a larger population sample.