• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Neurobiological mechanisms underlying the blocking effect in aversive learning.厌恶学习中阻断效应的神经生物学机制。
J Neurosci. 2012 Sep 19;32(38):13164-76. doi: 10.1523/JNEUROSCI.1210-12.2012.
2
Aversive learning in adolescents: modulation by amygdala-prefrontal and amygdala-hippocampal connectivity and neuroticism.青少年的厌恶学习:杏仁核-前额叶和杏仁核-海马连接以及神经质的调节。
Neuropsychopharmacology. 2014 Mar;39(4):875-84. doi: 10.1038/npp.2013.287. Epub 2013 Oct 15.
3
Memory consolidation of fear conditioning: bi-stable amygdala connectivity with dorsal anterior cingulate and medial prefrontal cortex.恐惧条件反射的记忆巩固:杏仁核与背侧前扣带回及内侧前额叶皮质的双稳态连接
Soc Cogn Affect Neurosci. 2014 Nov;9(11):1730-7. doi: 10.1093/scan/nst170. Epub 2013 Nov 4.
4
Neural mechanisms of human temporal fear conditioning.人类颞叶恐惧条件反射的神经机制。
Neurobiol Learn Mem. 2016 Dec;136:97-104. doi: 10.1016/j.nlm.2016.09.019. Epub 2016 Sep 28.
5
Disrupted avoidance learning in functional neurological disorder: Implications for harm avoidance theories.功能性神经障碍中的回避学习障碍:对回避倾向理论的启示。
Neuroimage Clin. 2017 Aug 8;16:286-294. doi: 10.1016/j.nicl.2017.08.007. eCollection 2017.
6
Fear conditioning in an abdominal pain model: neural responses during associative learning and extinction in healthy subjects.腹痛模型中的恐惧条件反射:健康受试者在联想学习和消退过程中的神经反应。
PLoS One. 2013;8(2):e51149. doi: 10.1371/journal.pone.0051149. Epub 2013 Feb 26.
7
Anticipatory prefrontal cortex activity underlies stress-induced changes in Pavlovian fear conditioning.预期前额皮质活动是应激诱导的条件性恐惧反应变化的基础。
Neuroimage. 2018 Jul 1;174:237-247. doi: 10.1016/j.neuroimage.2018.03.030. Epub 2018 Mar 16.
8
Extinction learning in humans: role of the amygdala and vmPFC.人类的消退学习:杏仁核和腹内侧前额叶皮质的作用。
Neuron. 2004 Sep 16;43(6):897-905. doi: 10.1016/j.neuron.2004.08.042.
9
Clinically Anxious Individuals Show Disrupted Feedback between Inferior Frontal Gyrus and Prefrontal-Limbic Control Circuit.临床上焦虑的个体表现出额下回与前额叶-边缘系统控制回路之间的反馈中断。
J Neurosci. 2016 Apr 27;36(17):4708-18. doi: 10.1523/JNEUROSCI.1092-15.2016.
10
Dopamine-induced changes in neural network patterns supporting aversive conditioning.多巴胺诱导的支持厌恶条件反射的神经网络模式变化。
Brain Res. 2010 Feb 8;1313:143-61. doi: 10.1016/j.brainres.2009.11.064. Epub 2009 Dec 2.

引用本文的文献

1
Pavlovian safety learning: An integrative theoretical review.巴甫洛夫式安全学习:一项综合性理论综述。
Psychon Bull Rev. 2025 Feb;32(1):176-202. doi: 10.3758/s13423-024-02559-4. Epub 2024 Aug 21.
2
The Roles of Basolateral Amygdala Parvalbumin Neurons in Fear Learning.外侧杏仁核 Parvalbumin 神经元在恐惧学习中的作用。
J Neurosci. 2021 Nov 3;41(44):9223-9234. doi: 10.1523/JNEUROSCI.2461-20.2021. Epub 2021 Sep 24.
3
Neural substrates of appetitive and aversive prediction error.奖赏性和厌恶性预测误差的神经基础。
Neurosci Biobehav Rev. 2021 Apr;123:337-351. doi: 10.1016/j.neubiorev.2020.10.029. Epub 2021 Jan 13.
4
Distinct Processing of Aversive Experience in Amygdala Subregions.杏仁核亚区对厌恶体验的不同处理。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2020 Mar;5(3):291-300. doi: 10.1016/j.bpsc.2019.07.008. Epub 2019 Aug 2.
5
Dispositional negativity, cognition, and anxiety disorders: An integrative translational neuroscience framework.性格消极、认知与焦虑障碍:综合转化神经科学框架
Prog Brain Res. 2019;247:375-436. doi: 10.1016/bs.pbr.2019.03.012. Epub 2019 Apr 17.
6
Neural circuits for a top-down control of fear and extinction.恐惧和消退的自上而下控制的神经回路。
Psychopharmacology (Berl). 2019 Jan;236(1):313-320. doi: 10.1007/s00213-018-5033-2. Epub 2018 Sep 13.
7
The neurobiology of dispositional negativity and attentional biases to threat: Implications for understanding anxiety disorders in adults and youth.特质性消极情绪和对威胁的注意偏向的神经生物学:对理解成人和青少年焦虑症的启示
J Exp Psychopathol. 2016;7(3):311-342. doi: 10.5127/jep.054015.
8
Disrupted Prediction Error Links Excessive Amygdala Activation to Excessive Fear.预测误差链接中断将杏仁核过度激活与过度恐惧联系起来。
J Neurosci. 2016 Jan 13;36(2):385-95. doi: 10.1523/JNEUROSCI.3670-15.2016.
9
Neuroimaging of Fear-Associated Learning.恐惧相关学习的神经成像
Neuropsychopharmacology. 2016 Jan;41(1):320-34. doi: 10.1038/npp.2015.255. Epub 2015 Aug 21.
10
Neural signatures of human fear conditioning: an updated and extended meta-analysis of fMRI studies.人类恐惧条件反射的神经特征:fMRI 研究的更新和扩展元分析。
Mol Psychiatry. 2016 Apr;21(4):500-8. doi: 10.1038/mp.2015.88. Epub 2015 Jun 30.

本文引用的文献

1
Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex.条件反射:大脑皮层生理活动的研究
Ann Neurosci. 2010 Jul;17(3):136-41. doi: 10.5214/ans.0972-7531.1017309.
2
Molecular mechanisms of fear learning and memory.恐惧学习和记忆的分子机制。
Cell. 2011 Oct 28;147(3):509-24. doi: 10.1016/j.cell.2011.10.009.
3
Differential roles of human striatum and amygdala in associative learning.人类纹状体和杏仁核在联想学习中的差异作用。
Nat Neurosci. 2011 Sep 11;14(10):1250-2. doi: 10.1038/nn.2904.
4
Plasticity of human auditory-evoked fields induced by shock conditioning and contingency reversal.听觉诱发电位的可塑性:由休克条件作用和偶发逆转引起。
Proc Natl Acad Sci U S A. 2011 Jul 26;108(30):12545-50. doi: 10.1073/pnas.1016124108. Epub 2011 Jul 11.
5
A stable sparse fear memory trace in human amygdala.人类杏仁核中稳定的稀疏恐惧记忆痕迹。
J Neurosci. 2011 Jun 22;31(25):9383-9. doi: 10.1523/JNEUROSCI.1524-11.2011.
6
Placing prediction into the fear circuit.将预测放入恐惧回路中。
Trends Neurosci. 2011 Jun;34(6):283-92. doi: 10.1016/j.tins.2011.03.005. Epub 2011 May 5.
7
Analyzing effective connectivity with functional magnetic resonance imaging.利用功能磁共振成像分析有效连接性。
Wiley Interdiscip Rev Cogn Sci. 2010 May;1(3):446-459. doi: 10.1002/wcs.58. Epub 2010 Apr 2.
8
Dopamine transmission in the amygdala modulates surprise in an aversive blocking paradigm.杏仁核中的多巴胺传递在厌恶性阻断范式中调节意外感。
Behav Neurosci. 2010 Dec;124(6):780-8. doi: 10.1037/a0021111.
9
Prefrontal mechanisms of fear reduction after threat offset.威胁消除后前额叶机制对恐惧的减少。
Biol Psychiatry. 2010 Dec 1;68(11):1031-8. doi: 10.1016/j.biopsych.2010.09.006.
10
Blocking and overshadowing in human geometry learning.人类几何学习中的阻断和遮蔽效应
J Exp Psychol Anim Behav Process. 2011 Jan;37(1):121-6. doi: 10.1037/a0020715.

厌恶学习中阻断效应的神经生物学机制。

Neurobiological mechanisms underlying the blocking effect in aversive learning.

机构信息

Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.

出版信息

J Neurosci. 2012 Sep 19;32(38):13164-76. doi: 10.1523/JNEUROSCI.1210-12.2012.

DOI:10.1523/JNEUROSCI.1210-12.2012
PMID:22993433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6621462/
Abstract

Current theories of classical conditioning assume that learning depends on the predictive relationship between events, not just on their temporal contiguity. Here we employ the classic experiment substantiating this reasoning-the blocking paradigm-in combination with functional magnetic resonance imaging (fMRI) to investigate whether human amygdala responses in aversive learning conform to these assumptions. In accordance with blocking, we demonstrate that significantly stronger behavioral and amygdala responses are evoked by conditioned stimuli that are predictive of the unconditioned stimulus than by conditioned stimuli that have received the same pairing with the unconditioned stimulus, yet have no predictive value. When studying the development of this effect, we not only observed that it was related to the strength of previous conditioned responses, but also that predictive compared with nonpredictive conditioned stimuli received more overt attention, as measured by fMRI-concurrent eye tracking, and that this went along with enhanced amygdala responses. We furthermore observed that prefrontal regions play a role in the development of the blocking effect: ventromedial prefrontal cortex (subgenual anterior cingulate) only exhibited responses when conditioned stimuli had to be established as nonpredictive for an outcome, whereas dorsolateral prefrontal cortex also showed responses when conditioned stimuli had to be established as predictive. Most importantly, dorsolateral prefrontal cortex connectivity to amygdala flexibly switched between positive and negative coupling, depending on the requirements posed by predictive relationships. Together, our findings highlight the role of predictive value in explaining amygdala responses and identify mechanisms that shape these responses in human fear conditioning.

摘要

当前的经典条件作用理论假设,学习取决于事件之间的预测关系,而不仅仅是它们的时间连续性。在这里,我们采用经典实验证明了这一推理,即阻断范式,结合功能磁共振成像(fMRI)来研究人类杏仁核在厌恶学习中的反应是否符合这些假设。与阻断相一致,我们证明,与已经与无条件刺激配对但没有预测价值的条件刺激相比,对有预测价值的条件刺激的行为和杏仁核反应要强得多。在研究这种效应的发展时,我们不仅观察到它与先前条件反应的强度有关,而且与预测性相比,非预测性的条件刺激会受到更多的显性注意,这可以通过 fMRI 与眼动追踪同时测量来证明,并且这伴随着杏仁核反应的增强。我们还观察到,前额叶区域在阻断效应的发展中起着作用:腹内侧前额叶皮层(前扣带回的下侧)仅在条件刺激必须被确定为对结果没有预测性时才表现出反应,而背外侧前额叶皮层也在条件刺激必须被确定为有预测性时表现出反应。最重要的是,背外侧前额叶皮层与杏仁核的连接根据预测关系的要求,灵活地在正耦合和负耦合之间切换。总之,我们的发现强调了预测价值在解释杏仁核反应中的作用,并确定了在人类恐惧条件作用中塑造这些反应的机制。