Connectome-based predictive modelling can predict follow-up craving after abstinence in individuals with opioid use disorders  

作　　者：Wenhan Yang Jungong Han Jing Luo Fei Tang Li Fan Yanyao Du Longtao Yang Jun Zhang Huiting Zhang Jun Liu 

机构地区：[1]The Second Xiangya Hospital of Central South University,Changsha,Hunan,China [2]Department of Computer Science,Aberystwyth University,Aberystwyth,UK [3]Department of Radiology,The Second Xiangya Hospital of Central South University,Changsha,Hunan,China [4]Hunan Judicial Police Academy,Changsha,Hunan,China [5]siemens Healthineers Ltd,Wuhan,Hubei,China [6]Clinical Research Center for Medical Imaging in Hunan Province,Changsha,Hunan,China [7]Department of Radiology Quality Control Center in Hunan Province,Changsha,Hunan,China

出　　处：《General Psychiatry》2023年第6期472-480,共9页综合精神医学（英文）

摘　　要：Background Individual differences have been detected in individuals with opioid use disorders(OUD)in rehabilitation following protracted abstinence.Recent studies suggested that prediction models were effective for individual-level prognosis based on neuroimage data in substance use disorders(SUD).Aims This prospective cohort study aimed to assess neuroimaging biomarkers for individual response to protracted abstinence in opioid users using connectome-based predictive modelling(CPM).Methods One hundred and eight inpatients with OUD underwent structural and functional magnetic resonance imaging(fMRI)scans at baseline.The Heroin Craving Questionnaire(HCQ)was used to assess craving levels at baseline and at the 8-month follow-up of abstinence.CPM with leave-one-out cross-validation was used to identify baseline networks that could predict follow-up HCQ scores and changes in HCQ(HCQtolow V-up-HCQpa baseline).Then,the follow-up aseline predictive ability of identified networks was tested in a separate,heterogeneous sample of methamphetamine individuals who underwent MRI scanning before abstinence for SUD.Results CPM could predict craving changes induced by long-term abstinence,as shown by a significant correlation between predicted and actual HCQ fllow-up(r=0.417,p<0.001)and changes in HCQ(negative:r=0.334,p=0.002;positive:r=0.233,p=0.038).Identified craving-related prediction networks included the somato-motor network(SMN),salience network(SALN),default mode network(DMN),medial frontal network,visual network and auditory network.In addition,decreased connectivity of frontal-parietal network(FPN)-SMN,FPN-DMN and FPN-SALN and increased connectivity of subcortical network(SCN)-DMN,SCN-SALNandSCN-SMN were positively correlated with craving levels.Conclusions These findings highlight the potential applications of CPM to predict the craving level of individuals after protracted abstinence,as well as the generalisation ability;the identified brain networks might be the focus of innovative therapies in the future.

关 键 词：OPIOID DISORDERS network 

分 类 号：R749[医药卫生—神经病学与精神病学]