Brain multimodal co-alterations related to delay discounting: a multimodal MRI fusion analysis in persons with and without cocaine use disorder

BMC Neuroscience

Xiang Li¹  Sheri L. Towe²  Ryan P. Bell²  Christina S. Meade³  Jing Sui⁴  Vince D. Calhoun⁴ 

[1] Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China;School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China;Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Box 102848, 27708, Durham, NC, USA;Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Box 102848, 27708, Durham, NC, USA;Brain Imaging and Analysis Center, Duke University, Durham, NC, USA;Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Atlanta, GA, USA;

关键词: Cocaine;    Drug addiction;    Impulsivity;    Delay discounting;    Magnetic resonance imaging;    Multimodal fusion;   

DOI  :  10.1186/s12868-021-00654-z

来源: Springer

【 摘 要 】

BackgroundDelay discounting has been proposed as a behavioral marker of substance use disorders. Innovative analytic approaches that integrate information from multiple neuroimaging modalities can provide new insights into the complex effects of drug use on the brain. This study implemented a supervised multimodal fusion approach to reveal neural networks associated with delay discounting that distinguish persons with and without cocaine use disorder (CUD).MethodsAdults with (n = 35) and without (n = 37) CUD completed a magnetic resonance imaging (MRI) scan to acquire high-resolution anatomical, resting-state functional, and diffusion-weighted images. Pre-computed features from each data modality included whole-brain voxel-wise maps for gray matter volume, fractional anisotropy, and regional homogeneity, respectively. With delay discounting as the reference, multimodal canonical component analysis plus joint independent component analysis was used to identify co-alterations in brain structure and function.ResultsThe sample was 58% male and 78% African–American. As expected, participants with CUD had higher delay discounting compared to those without CUD. One joint component was identified that correlated with delay discounting across all modalities, involving regions in the thalamus, dorsal striatum, frontopolar cortex, occipital lobe, and corpus callosum. The components were negatively correlated with delay discounting, such that weaker loadings were associated with higher discounting. The component loadings were lower in persons with CUD, meaning the component was expressed less strongly.ConclusionsOur findings reveal structural and functional co-alterations linked to delay discounting, particularly in brain regions involved in reward salience, executive control, and visual attention and connecting white matter tracts. Importantly, these multimodal networks were weaker in persons with CUD, indicating less cognitive control that may contribute to impulsive behaviors.

【 授权许可】

CC BY