ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2021, Vol. 29 ›› Issue (8): 1345-1357.doi: 10.3724/SP.J.1042.2021.01345

• 研究构想 • 上一篇    下一篇

强迫性特征在药物成瘾行为中的易感性及其前额叶-反奖赏系统神经基础

严万森(), 刘苏姣, 张冉冉, 徐鹏   

  1. 贵州医科大学医学人文学院, 贵阳 550025
  • 收稿日期:2020-12-29 发布日期:2021-06-25
  • 通讯作者: 严万森 E-mail:yanwansen@163.com
  • 基金资助:
    国家自然科学基金(32060195)

The susceptibility of compulsive traits and neural substrates of the prefrontal and anti-reward systems implicated in drug addiction

YAN Wan-Sen(), LIU Su-Jiao, ZHANG Ran-Ran, XU Peng   

  1. College of Medical Humanities, Guizhou Medical University, Guiyang 550025, China
  • Received:2020-12-29 Published:2021-06-25
  • Contact: YAN Wan-Sen E-mail:yanwansen@163.com

摘要:

强迫性是一种与不顾严重后果的固着行为密切相关的神经心理结构, 大脑神经系统对强迫性行为的调控机制崩溃是导致药物成瘾的直接原因。以往研究对于奖赏系统(中脑-皮层-边缘神经环路)在成瘾行为中的作用及机制已经具有丰富的了解, 但针对药物成瘾的强迫性特征本身以及前额叶-反奖赏系统神经环路在成瘾行为中的作用机制了解有限, 尤其是缺乏对药物成瘾强迫性特征的系统考察、缺少遗传学研究以及非兴奋剂类药物的汇聚证据。项目拟结合人类成瘾行为的遗传学视角(海洛因成瘾者与其无药物使用的兄弟姐妹对照), 结合神经认知、脑电生理、神经影像等不同层面的方法和技术, 对药物成瘾强迫性的外在表征、神经生物学基础以及与个体差异有关的遗传易感性进行探索, 期在进一步识别药物成瘾的神经生物标记, 为探寻潜在的药物或非药物干预靶点提供更多证据。

关键词: 药物成瘾, 强迫性, 反奖赏系统, 前额叶皮层, 边缘系统

Abstract:

Compulsivity is a core neuropsychological element connected to perseverations and persistent behaviors that are continued in the face of adverse consequences. It has been assumed that breakdown of the regulatory mechanism for compulsive behaviors in the brain might be a fundamental cause of drug addiction. Although addiction studies in recent decades have manifested a key role of the reward system (i.e., the meso-cortico-limbic circuitry) in addictive behaviors, little is known about the role of compulsivity per se and the neural substrates of the prefrontal cortex-anti-reward system circuitry implicated in the development of drug addiction. Particularly, there was lack of a systematic investigation of compulsivity linked to drug addiction, and family studies and convergent evidence from non-stimulants drugs (e.g., opiates) were rare. This project thus aimed to investigate the compulsivity profiles of heroin addicts and their healthy drug-free first-degree relatives (i.e., siblings), compared to healthy controls, from a family-risk perspective of addictive behaviors. A series of neurocognitive tasks, together with event-related potentials (ERPs) and neuroimaging techniques (e.g., functional magnetic resonance imaging, fMRI), would be employed to assess compulsivity facets and the potential neurophysiological correlates among these participants, aiming to probe into the hereditary feasibility and neural substrates of compulsivity in drug addiction. Expectantly, this project might be conducive to future discernment of potential medical or non-medical intervention targets for addictive disorders. This project would be mainly consisted of three human studies: (1) The purpose of the Study 1 was to compare the neurocognitive profiles of compulsive characteristics between heroin addicts, their healthy drug-free first-degree relatives (i.e., siblings), and irrelevant healthy controls, using the Padua Inventory of Obsessive Compulsive Disorder Symptoms (PI-WSUR), the Stop-Signal Task, the Stroop Task, the Intradimensional/Extradimensional set-shifting task (IDED), and the Probabilistic Reversal Learning Task (PRLT); (2) From the neurophysiological level, the Study 2 would test the associations of cognitive event-related potentials (ERPs) correlates (e.g., N200, P300) with compulsivity measured by several neurocognitive tasks, including the Go/No Go Task and the Probabilistic Reversal Learning Task (PRLT), among the heroin addicts, their healthy drug-free first-degree relatives (i.e., siblings), and irrelevant healthy controls; and (3) The Study 3, combining neurocognitive tasks (i.e., the Go/No Go Task, the Probabilistic Reversal Learning Task, and the Analogic Social Exclusion Task) with structural and functional Magnetic Resonance Imaging (fMRI), was targeted at exploring the neural substrates of the prefrontal and anti-reward systems involved in heroin addiction, such as the loops of the lateral orbitofrontal cortex-dorsal striatum and the medial orbitofrontal cortex-ventral striatum/central nucleus of the amygdala, between heroin addicts, their healthy drug-free first-degree relatives (i.e., siblings), and irrelevant healthy controls. Based on these studies, this project expected to improve the understandings of the susceptibility of compulsive traits and neural substrates of the prefrontal and anti-reward systems implicated in drug addiction. Generally, it was hypothesized that main neurocognitive deficits associated with compulsivity might be potential markers for heroin use disorder, that is, as the possible familial risk factors of compulsivity, these neurocognitive deficits would be increased not only in the heroin addicts, but also in their healthy drug-free first-degree relatives (i.e., siblings), compared with the irrelevant healthy controls. Furthermore, on the neurological bases, the abnormalities of certain neurophysiological components (e.g., N200、P300) tested by the event-related potentials (ERPs), would be expected to be highlighted both in the heroin addicts and their healthy drug-free first-degree relatives (i.e., siblings). Most importantly, the structural and functional neural abnormalities in the prefrontal and anti-reward systems, including the loops of the dorsolateral prefrontal cortex, the dorsal anterior cingulate cortex, the right inferior frontal gyrus to the dorsal striatum as well as the ventral prefrontal cortex and the orbitofrontal cortex to the central nucleus of the amygdala, which are mostly linked to cognitive control, stress responses and emotional control functions, might be involved in the poor performance of these compulsivity-related neurocognitive tasks (i.e., the Go/No Go Task, the Probabilistic Reversal Learning Task, and the Analogic Social Exclusion Task). Thus, this project would be of great help for detecting potential biological markers and intervention targets for addictive disorders.

Key words: drug addiction, compulsivity, anti-reward system, prefrontal cortex, limbic system

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