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停止大量饮酒前后HIV感染者的静息态连接性。

Resting state connectivity in people living with HIV before and after stopping heavy drinking.

作者信息

Gullett Joseph M, DeFelice Jason, Richards Veronica L, Porges Eric C, Cohen Ronald A, Govind Varan, Salan Teddy, Wang Yan, Zhou Zhi, Cook Robert L

机构信息

Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States.

Department of Epidemiology, University of Florida, Gainesville, FL, United States.

出版信息

Front Psychiatry. 2023 May 17;14:1102368. doi: 10.3389/fpsyt.2023.1102368. eCollection 2023.


DOI:10.3389/fpsyt.2023.1102368
PMID:37265553
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10230054/
Abstract

BACKGROUND: Heavy alcohol use in people living with HIV (PLWH) has widespread negative effects on neural functioning. It remains unclear whether experimentally-induced reduction in alcohol use could reverse these effects. We sought to determine the effects of 30-days drinking cessation/reduction on resting state functional connectivity in people with and without HIV. METHODS: Thirty-five participants (48.6% PLWH) demonstrating heavy alcohol use attempted to stop drinking for 30 days via contingency management (CM). MRI was acquired at baseline and after thirty days, and functional connectivity across five resting-state fMRI (rsfMRI) networks was calculated with the Conn toolbox for Matlab and examined in relation to transdermal alcohol concentration (TAC) recorded by the ankle-worn secure continuous remote alcohol monitor (SCRAM) and self-reported alcohol use (timeline follow-back; TLFB). Associations between alcohol use and reduction, HIV status, functional connectivity, and change in functional connectivity across five major rsfMRI networks were determined relative to the pre- and post-CM timepoints. RESULTS: Baseline resting-state functional connectivity was not significantly associated with average TAC-AUC during the pre-CM period, though higher self-reported alcohol use over the preceding 30 days was significantly associated with higher baseline connectivity within the Dorsal Attention Network (DAN; p-FDR < 0.05). Baseline connectivity within the Salience network was significantly negatively related to objective drinking reduction after intervention (DAN; p-FDR < 0.05), whereas baseline connectivity within the Limbic network was positively associated with self-reported drinking reduction (p-FDR < 0.05). Change in between-networks functional connectivity after intervention was significantly positively associated with biosensor-confirmed drinking reduction such that higher reduction was associated with stronger connectivity between the limbic and fronto-parietal control networks (p-FDR < 0.05). PLWH with lower DAN connectivity at baseline demonstrated poorer alcohol reduction than those with higher DAN connectivity at baseline. DISCUSSION: Lower resting-state functional connectivity of the Salience network significantly predicted stronger drinking reduction across all participants, suggesting a potential biomarker for reduced susceptibility to the environmental and social cues that often make alcohol use reduction attempts unsuccessful. Increased between-networks connectivity was observed in participants with higher alcohol reduction after CM, suggesting a positive benefit to brain connectivity associated with reduced drinking. PLWH with lower baseline DAN connectivity may not benefit as greatly from CM for alcohol reduction.

摘要

背景:艾滋病毒感染者(PLWH)大量饮酒对神经功能有广泛的负面影响。目前尚不清楚通过实验诱导减少饮酒是否能逆转这些影响。我们试图确定30天戒酒/减少饮酒对有和没有艾滋病毒的人的静息态功能连接的影响。 方法:35名大量饮酒的参与者(48.6%为PLWH)通过应急管理(CM)尝试戒酒30天。在基线和30天后进行MRI检查,使用用于Matlab的Conn工具箱计算五个静息态功能磁共振成像(rsfMRI)网络的功能连接,并与脚踝佩戴的安全连续远程酒精监测仪(SCRAM)记录的经皮酒精浓度(TAC)和自我报告的饮酒情况(时间线追溯;TLFB)相关联进行检查。相对于CM前后的时间点,确定饮酒与减少饮酒、艾滋病毒状态、功能连接以及五个主要rsfMRI网络中功能连接变化之间的关联。 结果:在CM前期间,基线静息态功能连接与平均TAC-AUC无显著关联,尽管在之前30天自我报告的饮酒量较高与背侧注意网络(DAN)内较高的基线连接显著相关(p-FDR<0.05)。干预后,突显网络内的基线连接与客观饮酒减少显著负相关(DAN;p-FDR<0.05),而边缘网络内的基线连接与自我报告的饮酒减少正相关(p-FDR<0.05)。干预后网络间功能连接的变化与生物传感器确认的饮酒减少显著正相关,即减少幅度越大,边缘和额顶叶控制网络之间的连接越强(p-FDR<0.05)。基线时DAN连接较低的PLWH比基线时DAN连接较高的PLWH饮酒减少情况更差。 讨论:突显网络较低的静息态功能连接显著预测了所有参与者更强的饮酒减少,这表明存在一种潜在的生物标志物,可用于降低对通常导致戒酒尝试失败的环境和社会线索的易感性。在CM后饮酒减少较多的参与者中观察到网络间连接增加,这表明减少饮酒对大脑连接有积极益处。基线DAN连接较低的PLWH可能无法从CM戒酒中获得同样大的益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88d7/10230054/92179698e285/fpsyt-14-1102368-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88d7/10230054/2ba669136df3/fpsyt-14-1102368-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88d7/10230054/92179698e285/fpsyt-14-1102368-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88d7/10230054/2ba669136df3/fpsyt-14-1102368-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88d7/10230054/92179698e285/fpsyt-14-1102368-g002.jpg

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本文引用的文献

[1]
Using alcohol biosensors and biomarkers to measure changes in drinking: Associations between transdermal alcohol concentration, phosphatidylethanol, and self-report in a contingency management study of persons with and without HIV.

Exp Clin Psychopharmacol. 2023-12

[2]
Task-based functional connectivity of the Useful Field of View (UFOV) fMRI task.

Geroscience. 2023-2

[3]
Differentiating Individuals with and without Alcohol Use Disorder Using Resting-State fMRI Functional Connectivity of Reward Network, Neuropsychological Performance, and Impulsivity Measures.

Behav Sci (Basel). 2022-4-28

[4]
Transdermal sensor features correlate with ecological momentary assessment drinking reports and predict alcohol-related consequences in young adults' natural settings.

Alcohol Clin Exp Res. 2022-1

[5]
Sociodemographic and clinical factors associated with transdermal alcohol concentration from the SCRAM biosensor among persons living with and without HIV.

Alcohol Clin Exp Res. 2021-9

[6]
Alcohol Use Disorder in the Age of Technology: A Review of Wearable Biosensors in Alcohol Use Disorder Treatment.

Front Psychiatry. 2021-3-22

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Front Aging Neurosci. 2020-6-12

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Abnormal functional connectivity and effective connectivity between the default mode network and attention networks in patients with alcohol-use disorder.

Acta Radiol. 2021-2

[9]
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Curr HIV Res. 2020

[10]
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Subst Abuse Treat Prev Policy. 2019-11-14

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