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

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 <i>in vivo</i> 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.

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Publication Details

Journal
Addiction Neuroscience
Published
2025-08-09
DOI
https://doi.org/10.1016/j.addicn.2025.100224
Citations
1
Primary Topic
Neurotransmitter Receptor Influence on Behavior
Type
article
Field-Weighted Citation Impact
0.91
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article

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

Da‐Ting Lin, Nicholas J. Beacher, Matthew C. Broomer, Michael W. Wang et al.
1 citations
Addiction Neuroscience
Neurotransmitter Receptor Influence on Behavior
0.91
article

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

Da‐Ting Lin, Nicholas J. Beacher, Matthew C. Broomer, Michael W. Wang, Caroline C. Clark, Jan Shanelle Juan Iringan
article en
1 citations

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 <i>in vivo</i> 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.

Addiction NeuroscienceVol. 16
National Institutes of Health (US), National Institute on Drug Abuse (US), Johns Hopkins University (US), Wittenberg University (US), Johns Hopkins Medicine (US)
Openalex Percentile: Top 24%
Neurotransmitter Receptor Influence on Behavior
0.91
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Using miniscopes and deep learning to compare neurobehavioral representations of psychostimulant and opioid self-administration — Da‐Ting Lin, Nicholas J. Beacher, et al. · Addiction Neuroscience (2025) | TGRS Research Map | TGRS