Resting state connectivity in people living with HIV before and after stopping heavy drinking.
Resting state connectivity in people living with HIV before and after stopping heavy drinking.
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DOI：
10.3389/fpsyt.2023.1102368
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发表时间：
2023
影响因子：
4.7
通讯作者：
Cook, Robert L.
中科院分区：
文献类型：
--
作者：
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.
关键词：
HIV 感染者 (PLWH) 大量饮酒会对神经功能产生广泛的负面影响。目前尚不清楚通过实验减少饮酒是否可以逆转这些影响。我们试图确定 30 天戒酒/减少饮酒对 HIV 感染者和未感染者静息状态功能连接的影响。 35 名参与者（48.6% PLWH）表现出大量饮酒，试图通过应急管理 (CM) 戒酒 30 天。在基线和三十天后采集 MRI，并使用 Matlab 的 Conn 工具箱计算五个静息态 fMRI (rsfMRI) 网络的功能连接，并检查与脚踝佩戴的安全连续远程酒精监测器 (SCRAM) 记录的经皮酒精浓度 (TAC) 和自我报告的酒精使用情况 (时间线跟踪；TLFB) 的关系。相对于 CM 前后的时间点，确定了五个主要 rsfMRI 网络中饮酒和减少饮酒、HIV 状态、功能连接和功能连接变化之间的关联。基线静息状态功能连接与 CM 前期的平均 TAC-AUC 没有显着相关，尽管过去 30 天内自我报告的较高饮酒量与背侧注意网络内较高的基线连接（DAN；p-FDR < 0.05）显着相关。 Salience 网络内的基线连接与干预后的客观饮酒减少显着负相关（DAN；p-FDR < 0.05），而 Limbic 网络内的基线连接与自我报告的饮酒减少呈正相关（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着正相关，因此减少量越高，边缘系统和额顶叶控制网络之间的连接性就越强（p-FDR < 0.05）。基线时 DAN 连接性较低的感染者比基线时 DAN 连接性较高的感染者的酒精减少效果更差。 Salience 网络的静息态功能连接性较低，可显着预测所有参与者的饮酒量减少幅度更大，这表明对环境和社会线索的敏感性降低是一个潜在的生物标志物，而环境和社会线索往往会使减少饮酒的尝试失败。在 CM 后饮酒量减少较多的参与者中观察到网络间连接性增加，这表明与减少饮酒相关的大脑连接性具有积极的益处。具有较低 DAN 连接基线的 PLWH 可能不会从 CM 减少酒精中获益那么多。
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. 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. 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. 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.
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DOI：
10.1176/appi.neuropsych.19.3.274
发表时间：
2007-06-01
影响因子：
2.9
作者：
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DOI：
10.1073/pnas.1415122111
发表时间：
2014-11-18
影响因子：
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作者：
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Heilig, Markus
DOI：
10.1111/acer.13823
发表时间：
2018-09
期刊：
Alcoholism, clinical and experimental research
影响因子：
--
作者：
Gullett JM;Lamb DG;Porges E;Woods AJ;Rieke J;Thompson P;Jahanshad N;Nir TM;Tashima K;Cohen RA
通讯作者：
Cohen RA
影响因子：
3.8
作者：
Bonacini, Maurizio
通讯作者：
Bonacini, Maurizio