默认模式网络
静息状态功能磁共振成像
功能连接
酒精使用障碍
心理学
神经心理学
神经影像学
冲动性
神经科学
额中回
听力学
任务正网络
前额叶皮质
功能磁共振成像
精神科
认知
医学
酒
生物
生物化学
作者
Mahmoud Elsayed,Emma Marsden,Tegan Hargreaves,Sabrina K. Syan,James MacKillop,Michael Amlung
出处
期刊:Alcohol and Alcoholism
[Oxford University Press]
日期:2024-07-21
卷期号:59 (5)
标识
DOI:10.1093/alcalc/agae056
摘要
Abstract Aims Previous neuroimaging research in alcohol use disorder (AUD) has found altered functional connectivity in the brain’s salience, default mode, and central executive (CEN) networks (i.e. the triple network model), though their specific associations with AUD severity and heavy drinking remains unclear. This study utilized resting-state fMRI to examine functional connectivity in these networks and measures of alcohol misuse. Methods Seventy-six adult heavy drinkers completed a 7-min resting-state functional MRI scan during visual fixation. Linear regression models tested if connectivity in the three target networks was associated with past 12-month AUD symptoms and number of heavy drinking days in the past 30 days. Exploratory analyses examined correlations between connectivity clusters and impulsivity and psychopathology measures. Results Functional connectivity within the CEN network (right and left lateral prefrontal cortex [LPFC] seeds co-activating with 13 and 15 clusters, respectively) was significantly associated with AUD symptoms (right LPFC: β = .337, p-FDR = .016; left LPFC: β = .291, p-FDR = .028) but not heavy drinking (p-FDR > .749). Post-hoc tests revealed six clusters co-activating with the CEN network were associated with AUD symptoms—right middle frontal gyrus, right inferior parietal gyrus, left middle temporal gyrus, and left and right cerebellum. Neither the default mode nor the salience network was significantly associated with alcohol variables. Connectivity in the left LPFC was correlated with monetary delay discounting (r = .25, p = .03). Conclusions These findings support previous associations between connectivity within the CEN network and AUD severity, providing additional specificity to the relevance of the triple network model to AUD.
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