物质成瘾所伴随的认知功能缺陷及其神经基础
Cognitive dysfunction and underlying neural basis in substance addiction
查看参考文献112篇
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文摘
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物质滥用和成瘾是当今世界最严重的公共卫生问题之一,禁毒与戒毒已成为全球关注的社会热点.根据DSM-5定义,物质成瘾是一种慢性复发性精神疾病,表现为强迫性药物寻求、无法控制药物使用而无视其潜在的严重危害.超过80%的成瘾个体没有寻求治疗,这部分反映出物质成瘾个体存在认知功能方面的缺陷与障碍.以此为出发点,本研究回顾了近年来关于物质成瘾者在注意、抑制控制、决策和内感受等方面认知功能缺陷的研究,总结了行为和神经影像学方面的成果,探讨和论证物质成瘾背后的认知神经机制,以便更准确地了解物质成瘾的成因、发展、戒断和复发的本质.最后,本研究提出未来的相关研究应致力于推动多技术融合,关注共病问题,构建和完善生物标记,开发基于脑的干预方法,以便深化该领域的研究,有助于完善成瘾病人的干预与治疗机制. |
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其他语种文摘
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As one of the most serious public health problems that extract a high toll on individuals and the society as a whole, substance abuse/addiction has attracted much attention from both researchers and the public. According to the DSM-5, substance addiction is a chronically relapsing psychiatric disorder that has been characterized by compulsion to seek and use drugs, loss of control in limiting intake despite serious negative consequences. However, more than 80% of the individuals with addiction fail to seek treatment, perhaps reflecting their cognitive function impairments. Previous studies have showed that most drugs of abuse exert their reinforcing effects and produce euphoria by inducing dopamine surges in limbic regions, which then have cascading effects on other neurotransmitter systems, leading to characteristic plastic adaptions; significant changes in neural circuits implicated in reward, attention, inhibitory control, decision making and interoception; and cognitive dysfunctions. However, much is still to be learned about the neural mechanisms involved in drugs' effects on cognitive functions and the vicious cycle of “drug abuse - withdrawal - recovery - relapse". For a better understanding of the causes of substance addiction and its underlying neural mechanisms, we provide an integrative review of behavioral and neuroimaging studies in substance addiction, introduce a neurobiological model of substance addiction, and finally propose future directions for research and clinical treatment. First, we summarize the research on the cognitive and neural mechanisms involved in substance addiction. (1) Drug-related cues can enhance the activities in the mesocorticolimbic system implicated in reward and drug motivation, which then result in increased attention to the drug-related stimuli. Thus, the neural changes in the frontolimbic system may be a potential neural basis for attentional bias toward drugs in individuals with addiction. (2) The deficit in inhibitory control typically observed in individuals with substance addiction may be due to a dysfunction in their prefrontal cortex-striatothalamic circuitry. (3) These individuals' poor decision making may be a product of an imbalance between three separate, but interacting, neural systems: the amygdala-striatum (an impulsive system); the prefrontal cortex (a reflective system); and the insula (the interoceptive system). (4) Emerging evidence shows that individuals with drug addiction have interoceptive processing deficits, perhaps due to dysfunctions in brain systems such as the insula and the anterior cingulate cortex. Second, we introduce a neurobiological model of substance addiction that depicts addiction as a result of an imbalance of six interactive circuits (i.e., reward, motivation/drive, memory, executive control, mood, and interoception). These brain circuits interact with one another to attain proper inhibitory control and hence good decision making. During addiction, however, the enhanced activities of six circuits (i.e., reward, motivation, memory, executive control, mood, and interoception) overwhelm the PFC's inhibitory control and hence lead to craving. Finally, we propose that future studies should (1) use multi-modal imaging techniques, (2) pay attention to comorbidity and clarify the association between addiction and other psychiatric disorders, (3) discover more biomarkers and optimize the diagnostic system using both behavioral and neuroimaging information, and (4) develop brain-based intervention techniques. Such studies should deepen our understanding of substance addiction and provide insights to its treatment. |
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来源
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科学通报
,2016,61(34):3672-3683 【核心库】
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DOI
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10.1360/N972016-00533
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关键词
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物质成瘾
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注意
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抑制控制
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决策
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内感受
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地址
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1.
西南大学心理学部, 认知与人格教育部重点实验室, 重庆, 400715
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西南大学心理学部, 认知与人格教育部重点实验室;;中国科学院心理健康重点实验室, 重庆, 400715
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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0023-074X |
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学科
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神经病学与精神病学 |
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基金
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中国科学院心理健康重点实验室开放课题基金
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北京师范大学认知神经科学与学习国家重点实验室开放课题基金
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中央高校基本科研业务费专项资金
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国家自然科学基金
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文献收藏号
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CSCD:5853564
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参考文献 共
112
共6页
|
|
1.
Hyman S. Addiction and the brain: The neurobiology of compulsion and its persistence.
Nat Rev Neurosci,2001,2:695-703
|
被引
42
次
|
|
|
|
|
2.
American Psychiatric Association.
Diagnostic and Statistical Manual of Mental Disorders,2013
|
被引
21
次
|
|
|
|
|
3.
Badiani A. Opiate versus psychostimulant addiction: The differences do matter.
Nat Rev Neurosci,2011,12:685-700
|
被引
5
次
|
|
|
|
|
4.
Fernandez-Serrano M. What are the specific vs. generalized effects of drugs of abuse on neuropsy-chological performance?.
Neurosci Biobehav Rev,2011,35:377-406
|
被引
3
次
|
|
|
|
|
5.
Duka T. The priming effect of alcohol pre-load on attentional bias to alcohol-related stimuli.
Psychopharmacology,2004,176:353-361
|
被引
2
次
|
|
|
|
|
6.
Hester R. A consistent attentional bias for drug-related material in active cocaine users across word and picture versions of the emotional Stroop task.
Drug Alcohol Depend,2006,81:251-257
|
被引
10
次
|
|
|
|
|
7.
Mogg K. Selective processing of smoking-related cues in smokers: manipulation of deprivation level and comparison of three measures of processing bias.
J Psychopharmacol,2002,16:385-392
|
被引
4
次
|
|
|
|
|
8.
Fillmore M. Impaired inhibi:ory control of behavior in chronic cocaine users.
Drug Alcohol Depend,2002,66:265-273
|
被引
8
次
|
|
|
|
|
9.
Li C. Altered impulse control in alcohol dependence: Neural measures of stop signal performance.
Alcohol Clin Exp Res,2009,33:740-750
|
被引
1
次
|
|
|
|
|
10.
Neuhaus A. Persistent dysfunctional frontal lobe activation in former smokers.
Psychopharmacology,2006,186:191-200
|
被引
1
次
|
|
|
|
|
11.
Ersche K. Abnormal frontal activations related to decision-making in current and former amphetamine and opiate dependent individuals.
Psychcpharmacology,2005,180:612-623
|
被引
1
次
|
|
|
|
|
12.
Contreras M. Inactivation of the interoceptive insula disrupts drug craving and malaise induced by lithium.
Science,2007,318:655-658
|
被引
11
次
|
|
|
|
|
13.
Naqvi N. Damage to the insula disrupts addiction to cigarette smoking.
Science,2007,315:531-534
|
被引
23
次
|
|
|
|
|
14.
Volkow N. Addiction, a disease of compulsion and drive: Involvement of the orbitofrontal cortex.
Cereb Cortex,2000,10:318-325
|
被引
22
次
|
|
|
|
|
15.
Wise R. Addiction becomes a brain disease.
Neuron,2000,26:27-33
|
被引
19
次
|
|
|
|
|
16.
Volkow N. Addiction circuitry in the human brain.
Annu Rev Pharmacol Toxicol,2012,52:321-336
|
被引
1
次
|
|
|
|
|
17.
Volkow N. Addiction: decreased reward sensitivity and increased expectation sensitivity conspire to overwhelm the brain's control circuit.
Bioessays,2010,32:748-755
|
被引
1
次
|
|
|
|
|
18.
Volkow N. Addiction: Beyond dopamine reward circuitry.
Proc Natl Acad Sci USA,2011,108:15037-15042
|
被引
1
次
|
|
|
|
|
19.
Baler R. Drug addiction: The neurobiology of disrupted self-control.
Trends Mol Med,2006,12:559-566
|
被引
29
次
|
|
|
|
|
20.
Anderson J.
Cognitive Psychology and Its Implications. 3rd ed,1990
|
被引
1
次
|
|
|
|
|
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