Temporal and spatial patterns of secondary motor cortex calcium activity in cocaine self-administration: A study using miniScope imaging and machine learning
Amith Korada , Yingying Chen , Ziqian Bi , Haoying Fu , Michal A. Lange , Joreylis Michelle F. Montgomery , Chandrashekar Rayanki , Changyong Guo , Shiaofen Fang , Yao-Ying Ma
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引用次数: 0
Abstract
Addiction is a chronic mental disorder caused by disruptions in brain function. While most research has focused on the medial prefrontal cortex, our recent findings highlight the secondary motor cortex (M2) as a key region modulating cocaine-seeking behaviors during relapse. Mechanisms underlying the role of M2 in addiction remain unclear. We hypothesize that initial drug-taking behaviors directly reshape M2 neuronal activity. This study investigated the effects of five 1-hr daily intravenous self-administration (IVSA) sessions on M2 neuronal activity in male C57BL/6J mice using in vivo Ca2+ imaging via miniScopes. Temporal and spatial patterns of Ca2+ transients were analyzed across three IVSA factors: IV substance (i.e., saline vs. cocaine), IVSA days, and within-session stages. Machine learning models, including Recurrent Neural Networks for temporal patterns, and Neural Networks, Support Vector Machines, and Extreme Gradient Boosting for spatial patterns, were employed.
Results
Cocaine-treated mice displayed consistent drug-taking behaviors within sessions and increased intake on Day 5 compared to Day 1, unlike saline-treated mice, which showed reduced operant behaviors within each daily session. IV substance was the most sensitive factor influencing both temporal and spatial patterns of M2 Ca2+ transients, characterized by frequency and frequency-amplitude interactions, but not amplitude alone. A 15-s bin size optimized differentiation between saline and cocaine groups.
Conclusion
Both temporal and spatial alterations in M2 neuronal activity were detected during early cocaine exposure, revealing early changes that may contribute to later drug relapse. These findings underscore the importance of advanced imaging and machine learning techniques in advancing addiction research.
期刊介绍:
Neuropharmacology publishes high quality, original research and review articles within the discipline of neuroscience, especially articles with a neuropharmacological component. However, papers within any area of neuroscience will be considered. The journal does not usually accept clinical research, although preclinical neuropharmacological studies in humans may be considered. The journal only considers submissions in which the chemical structures and compositions of experimental agents are readily available in the literature or disclosed by the authors in the submitted manuscript. Only in exceptional circumstances will natural products be considered, and then only if the preparation is well defined by scientific means. Neuropharmacology publishes articles of any length (original research and reviews).