The role of the prefrontal cortex in cocaine-induced noradrenaline release in the nucleus accumbens: a computational study.

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, CYBERNETICS
Samuele Carli, Aurelia Schirripa, Pierandrea Mirino, Adriano Capirchio, Daniele Caligiore
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Abstract

Research has extensively explored the role of the dopaminergic system in the reward circuit, while the contribution of the noradrenergic system remains less understood. This study aims to fill this gap by employing computational modeling to examine how the medial prefrontal cortex (mPFC) influences cocaine-induced norepinephrine (NE) release in the nucleus accumbens shell (NAcc), with mediation by the nucleus of the tractus solitarius (NTS) and the locus coeruleus (LC). The model replicates previously reported data on NE release in the mPFC following cocaine administration. Additionally, it predicts that NE depletion in the mPFC affects NE release in the NAcc through interactions with the NTS and LC. This work proposes a system-level hypothesis, suggesting that the mPFC regulates NE release in the NAcc by modulating the LC and NTS. These findings enhance our understanding of the neurochemical response to cocaine and offer potential directions for future addiction treatments.

前额皮质在可卡因诱导的伏隔核去甲肾上腺素释放中的作用:一项计算研究。
研究已经广泛地探索了多巴胺能系统在奖赏回路中的作用,而去甲肾上腺素能系统的作用仍然知之甚少。本研究旨在通过计算模型来研究内侧前额叶皮层(mPFC)如何在孤束核(NTS)和蓝斑核(LC)的介导下影响可卡因诱导的伏隔核壳(NAcc)中去甲肾上腺素(NE)的释放,从而填补这一空白。该模型重复了先前报道的可卡因给药后mPFC中NE释放的数据。此外,它预测mPFC中的NE消耗通过与NTS和LC的相互作用影响NAcc中的NE释放。这项工作提出了一个系统级的假设,表明mPFC通过调节LC和NTS来调节NAcc中的NE释放。这些发现增强了我们对可卡因的神经化学反应的理解,并为未来的成瘾治疗提供了潜在的方向。
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
Biological Cybernetics
Biological Cybernetics 工程技术-计算机:控制论
CiteScore
3.50
自引率
5.30%
发文量
38
审稿时长
6-12 weeks
期刊介绍: Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: mathematical modeling of biological systems; computational, theoretical or engineering studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems, emphasis is laid on communication between life sciences and technical/theoretical disciplines.
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