Using miniscopes and deep learning to compare neurobehavioral representations of psychostimulant and opioid self-administration

IF 2.4
Addiction neuroscience Pub Date : 2025-09-01 Epub Date: 2025-08-09 DOI:10.1016/j.addicn.2025.100224
Matthew C. Broomer , Caroline E. Clark , Jan Shanelle J. Iringan , Michael W. Wang , Nicholas J. Beacher , Da-Ting Lin
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引用次数: 0

Abstract

Concurrent abuse of psychostimulants and opioids represents a growing public health concern. However, preclinical models of substance use disorder often situate psychostimulants and opioids similarly within a unified self-administration procedure. This approach may fail to capture important differences in neurobehavioral activity related to each drug type. A large volume of in vivo literature suggests that, within canonical reward-related brain regions such as the nucleus accumbens (NAc), multiple reward-seeking behaviors may be represented by distinct neural populations. This comparison is often made between drug and natural rewards, however there is evidence for a similar distinction between psychostimulants and opioids. Here, we review the evidence for distinct neurobehavioral characteristics of psychostimulant versus opioid self-administration and consider the utility of two experimental approaches—miniscope calcium imaging and deep learning-assisted behavior analysis—in further exploring this topic.
使用微型显微镜和深度学习比较精神兴奋剂和阿片类药物自我给药的神经行为表征
同时滥用精神兴奋剂和阿片类药物是一个日益严重的公共卫生问题。然而,药物使用障碍的临床前模型通常将精神兴奋剂和阿片类药物类似地置于统一的自我给药程序中。这种方法可能无法捕捉到与每种药物类型相关的神经行为活动的重要差异。大量的体内文献表明,在典型的与奖励相关的大脑区域,如伏隔核(NAc)内,多种奖励寻求行为可能由不同的神经群代表。这种比较通常是在药物和自然奖励之间进行的,然而有证据表明精神兴奋剂和阿片类药物之间也有类似的区别。在这里,我们回顾了精神兴奋剂与阿片类药物自我给药的不同神经行为特征的证据,并考虑了两种实验方法的效用-微型钙成像和深度学习辅助行为分析-在进一步探索这一主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Addiction neuroscience
Addiction neuroscience Neuroscience (General)
CiteScore
1.30
自引率
0.00%
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0
审稿时长
118 days
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