Mesolimbic Neural Response Dynamics Predict Future Individual Alcohol Drinking in Mice

被盖腹侧区 心理学 多巴胺 神经科学 奖励制度 多巴胺能
作者
Sarah Montgomery,Long Li,Scott J. Russo,Erin S. Calipari,Eric J. Nestler,Carole Morel,Ming‐Hu Han
出处
期刊:Biological Psychiatry [Elsevier BV]
卷期号:95 (10): 951-962 被引量:5
标识
DOI:10.1016/j.biopsych.2023.11.019
摘要

Background Individual variability in response to rewarding stimuli is a striking but understudied phenomenon. The mesolimbic dopamine system is critical in encoding the reinforcing properties of both natural reward and alcohol; however, how innate or baseline differences in the response dynamics of this circuit define individual behavior and shape future vulnerability to alcohol remain unknown. Methods Using naturalistic behavioral assays, a voluntary alcohol drinking paradigm, in vivo fiber photometry, in vivo electrophysiology, and chemogenetics, we investigated how differences in mesolimbic neural circuit activity contribute to the individual variability seen in reward processing and, by proxy, alcohol drinking. Results We first characterized heterogeneous behavioral and neural responses to natural reward and defined how these baseline responses predicted future individual alcohol-drinking phenotypes in male mice. We then determined spontaneous ventral tegmental area dopamine neuron firing profiles associated with responses to natural reward that predicted alcohol drinking. Using a dual chemogenetic approach, we mimicked specific mesolimbic dopamine neuron firing activity before or during voluntary alcohol drinking to link unique neurophysiological profiles to individual phenotype. We show that hyperdopaminergic individuals exhibit a lower neuronal response to both natural reward and alcohol that predicts lower levels of alcohol consumption in the future. Conclusions These findings reveal unique, circuit-specific neural signatures that predict future individual vulnerability or resistance to alcohol and expand the current knowledge base on how some individuals are able to titrate their alcohol consumption whereas others go on to engage in unhealthy alcohol-drinking behaviors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
耍酷绿真完成签到,获得积分20
2秒前
烂漫时发布了新的文献求助10
3秒前
无花果应助迅速的蜗牛采纳,获得10
5秒前
zzx发布了新的文献求助10
5秒前
科研通AI2S应助196采纳,获得10
5秒前
999完成签到,获得积分10
5秒前
5秒前
点击阿拉法监理规划完成签到,获得积分10
6秒前
cdercder应助diyyid采纳,获得20
7秒前
Chris完成签到,获得积分10
7秒前
blUe完成签到,获得积分10
7秒前
8秒前
在水一方应助天梦星玄采纳,获得10
8秒前
hjwwz26完成签到,获得积分10
8秒前
8秒前
9秒前
ak24765完成签到,获得积分10
10秒前
tomcruise完成签到,获得积分10
12秒前
12秒前
13秒前
14秒前
小阿奔完成签到 ,获得积分20
14秒前
15秒前
15秒前
烟花应助小何采纳,获得10
15秒前
今后应助幽默丹翠采纳,获得30
15秒前
16秒前
烂漫时发布了新的文献求助10
19秒前
林林发布了新的文献求助10
19秒前
19秒前
学习发布了新的文献求助10
19秒前
20秒前
酸酸发布了新的文献求助10
20秒前
pingping发布了新的文献求助10
22秒前
歌德发布了新的文献求助10
22秒前
23秒前
青山完成签到 ,获得积分10
24秒前
酷波er应助林林采纳,获得10
24秒前
25秒前
白昼发布了新的文献求助10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Matrix Methods in Data Mining and Pattern Recognition 510
Association of Reentry Well-Being with Psychological Distress, Employment, and Housing Instability 15-Months After Incarceration 500
Trees of tropical Asia : an illustrated guide to diversity 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7032719
求助须知:如何正确求助?哪些是违规求助? 8701799
关于积分的说明 18436012
捐赠科研通 6535946
什么是DOI,文献DOI怎么找? 3113398
关于科研通互助平台的介绍 2192689
邀请新用户注册赠送积分活动 2088742