基于网络神经科学的神经认知干预可能打破毒瘾复发的循环

Q4 Neuroscience Neuroscience Research Notes Pub Date : 2020-05-30 DOI:10.31117/neuroscirn.v3i2.48
Kavinash Loganathan, Eric Tatt Wei Ho
{"title":"基于网络神经科学的神经认知干预可能打破毒瘾复发的循环","authors":"Kavinash Loganathan, Eric Tatt Wei Ho","doi":"10.31117/neuroscirn.v3i2.48","DOIUrl":null,"url":null,"abstract":"In Malaysia, abstinence-centric programs failed to reduce drug use and stem the spread of HIV. The Malaysian government shifted its focus to implement harm reduction strategies with methadone maintenance therapy (MMT), in particular proving to be effective in improving the overall health and well-being of people who inject drugs (PWIDs). Despite this success, MMT retention rates remain low, as methadone is only able to stall drug consumption, but not stop it completely. Neuroimaging research revealed that PWIDs enrolled in MMT still display addictive behavior, including drug cue sensitivity, craving, and withdrawal, despite treatment adherence. Brain activity amongst treated PWIDs continues to bear similarities to untreated individuals, as they struggle with cognitive impairments and poor self-control. Findings from the emerging field of network neuroscience could provide fresh insight into the mechanics of addiction, especially the impact of substance abuse on brain-wide cognitive networks. Concurrently, the development of non-intrusive cognitive interventions, such as neurofeedback and transcranial magnetic stimulation, shows promise to reprogram a person's patterns of brain activity, including those regulated by large-scale networks, to a state resembling normalcy. We highlight the importance of relapse in the life-long rehabilitation of substance abuse. The lack of treatment options to handle relapse after successful harm-reduction policies is due to the absence of a conceptual framework to reason about interventions. We review recent research in the new field of network neuroscience, which suggests that altered brain activity due to drug addiction underlies the propensity for relapse and that this dysfunction is not addressed in drug rehabilitation programs. We hypothesize that non-invasive, non-pharmacological cognitive interventions based on network neuroscience to correct brain activity dysfunction associated with addiction are potential therapies to treat drug addiction relapse. In complement with medicine-substitution-based therapies, we hope this approach will finally break the cycle of addiction.","PeriodicalId":36108,"journal":{"name":"Neuroscience Research Notes","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neurocognitive interventions based on network neuroscience may break the cycle of drug addiction relapse\",\"authors\":\"Kavinash Loganathan, Eric Tatt Wei Ho\",\"doi\":\"10.31117/neuroscirn.v3i2.48\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In Malaysia, abstinence-centric programs failed to reduce drug use and stem the spread of HIV. The Malaysian government shifted its focus to implement harm reduction strategies with methadone maintenance therapy (MMT), in particular proving to be effective in improving the overall health and well-being of people who inject drugs (PWIDs). Despite this success, MMT retention rates remain low, as methadone is only able to stall drug consumption, but not stop it completely. Neuroimaging research revealed that PWIDs enrolled in MMT still display addictive behavior, including drug cue sensitivity, craving, and withdrawal, despite treatment adherence. Brain activity amongst treated PWIDs continues to bear similarities to untreated individuals, as they struggle with cognitive impairments and poor self-control. Findings from the emerging field of network neuroscience could provide fresh insight into the mechanics of addiction, especially the impact of substance abuse on brain-wide cognitive networks. Concurrently, the development of non-intrusive cognitive interventions, such as neurofeedback and transcranial magnetic stimulation, shows promise to reprogram a person's patterns of brain activity, including those regulated by large-scale networks, to a state resembling normalcy. We highlight the importance of relapse in the life-long rehabilitation of substance abuse. The lack of treatment options to handle relapse after successful harm-reduction policies is due to the absence of a conceptual framework to reason about interventions. We review recent research in the new field of network neuroscience, which suggests that altered brain activity due to drug addiction underlies the propensity for relapse and that this dysfunction is not addressed in drug rehabilitation programs. We hypothesize that non-invasive, non-pharmacological cognitive interventions based on network neuroscience to correct brain activity dysfunction associated with addiction are potential therapies to treat drug addiction relapse. In complement with medicine-substitution-based therapies, we hope this approach will finally break the cycle of addiction.\",\"PeriodicalId\":36108,\"journal\":{\"name\":\"Neuroscience Research Notes\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuroscience Research Notes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31117/neuroscirn.v3i2.48\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Neuroscience\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroscience Research Notes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31117/neuroscirn.v3i2.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Neuroscience","Score":null,"Total":0}
引用次数: 0

摘要

在马来西亚,以禁欲为中心的项目未能减少毒品使用并阻止艾滋病毒的传播。马来西亚政府将重点转移到实施美沙酮维持疗法(MMT)的减少伤害战略上,特别是事实证明,美沙酮在改善注射毒品者的整体健康和福祉方面是有效的。尽管取得了成功,但MMT的保留率仍然很低,因为美沙酮只能阻止药物消费,但不能完全阻止药物消费。神经影像学研究表明,尽管坚持治疗,参与MMT的PWID仍表现出成瘾行为,包括药物线索敏感性、渴望和戒断。接受治疗的PWID的大脑活动仍然与未接受治疗的个体相似,因为他们正在与认知障碍和自制力差作斗争。新兴网络神经科学领域的发现可以为成瘾的机制,特别是药物滥用对全脑认知网络的影响提供新的见解。与此同时,非侵入性认知干预措施的发展,如神经反馈和经颅磁刺激,有望将一个人的大脑活动模式(包括由大规模网络调节的模式)重新编程为类似正常的状态。我们强调复发在药物滥用终身康复中的重要性。在成功实施减少伤害政策后,缺乏治疗复发的选择,这是由于缺乏一个概念框架来解释干预措施。我们回顾了网络神经科学新领域的最新研究,该研究表明,毒瘾导致的大脑活动改变是复发倾向的基础,而这种功能障碍在药物康复计划中没有得到解决。我们假设,基于网络神经科学的非侵入性、非药物认知干预是治疗毒瘾复发的潜在疗法,以纠正与成瘾相关的大脑活动功能障碍。与基于药物替代的疗法相补充,我们希望这种方法最终能打破成瘾的循环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Neurocognitive interventions based on network neuroscience may break the cycle of drug addiction relapse
In Malaysia, abstinence-centric programs failed to reduce drug use and stem the spread of HIV. The Malaysian government shifted its focus to implement harm reduction strategies with methadone maintenance therapy (MMT), in particular proving to be effective in improving the overall health and well-being of people who inject drugs (PWIDs). Despite this success, MMT retention rates remain low, as methadone is only able to stall drug consumption, but not stop it completely. Neuroimaging research revealed that PWIDs enrolled in MMT still display addictive behavior, including drug cue sensitivity, craving, and withdrawal, despite treatment adherence. Brain activity amongst treated PWIDs continues to bear similarities to untreated individuals, as they struggle with cognitive impairments and poor self-control. Findings from the emerging field of network neuroscience could provide fresh insight into the mechanics of addiction, especially the impact of substance abuse on brain-wide cognitive networks. Concurrently, the development of non-intrusive cognitive interventions, such as neurofeedback and transcranial magnetic stimulation, shows promise to reprogram a person's patterns of brain activity, including those regulated by large-scale networks, to a state resembling normalcy. We highlight the importance of relapse in the life-long rehabilitation of substance abuse. The lack of treatment options to handle relapse after successful harm-reduction policies is due to the absence of a conceptual framework to reason about interventions. We review recent research in the new field of network neuroscience, which suggests that altered brain activity due to drug addiction underlies the propensity for relapse and that this dysfunction is not addressed in drug rehabilitation programs. We hypothesize that non-invasive, non-pharmacological cognitive interventions based on network neuroscience to correct brain activity dysfunction associated with addiction are potential therapies to treat drug addiction relapse. In complement with medicine-substitution-based therapies, we hope this approach will finally break the cycle of addiction.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Neuroscience Research Notes
Neuroscience Research Notes Neuroscience-Neurology
CiteScore
1.00
自引率
0.00%
发文量
21
期刊最新文献
Comparative retrospective analysis: exploring the quality of life of people with epilepsy in two cohorts Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia Gene expression analysis in plasma of patients with Alzheimer's disease Psychological science in Mongolia: Its history, development, and future prospects Neuroinflammation-induced neurodegeneration and associated microglia activation in Parkinson’s disease: a novel neurotherapeutic avenue
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1