抑郁症负性情绪加工与认知控制神经模型研究进展

冯正直; 廖成菊

doi:10.16016/j.2097-0927.202305118

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抑郁症负性情绪加工与认知控制神经模型研究进展

专家述评 | 更新时间：2026-01-09

- 抑郁症负性情绪加工与认知控制神经模型研究进展
- A brain network model for depression: negative affective processing and cognitive control
- 陆军军医大学学报 2023年45卷第23期页码：2395-2402
- 作者机构：
  
  400038 重庆，陆军军医大学医学心理系
- 作者简介：
  
  [ 冯正直，陆军军医大学医学心理系教授，博士生导师，中国社会心理学会副会长，教育部心理学类指导委员会委员，全军心理工作指导专家，军队心理服务组组长，陆军军人自杀干预委员会副主任委员，重庆市社会心理学会理事长，重庆市教委中小学生心理危机干预组组长。主持国家、军队重大、重点科研项目30余项，在国内外发表论文430余篇，其中SCI论文60余篇，最高IF13.7，高被引、热点论文作者，主编国家规划教材、专著、指南手册等37部，获得军队及省部级二等奖及以上科研成果奖励7项，国家专利2项。培养心理学硕士、博士研究生近100名，参与起草军队和地方相关文件10份，为国家和军队提建议案12份，采纳8份。荣获全军育才金/银奖，军队二等津贴，重庆英才创新领军人才，重庆市心理学学术技术带头人，陆军名师战团、陆军军医大学教学名师、科技工作先进个人和最受学生欢迎导师。主要从事军事心理健康训练和抑郁症负性认知神经机制研究。E-mail: fzz@tmmu.edu.cn FENG Zhengzhi, E-mail: fzz@tmmu.edu.cn
- 基金信息：
  
  国家自然科学基金面上项目(81971278)
- DOI：10.16016/j.2097-0927.202305118
  中图分类号： R318.04;R395.2;R749.4
- 收稿：2023-06-01，
  
  修回：2023-09-06，
  
  纸质出版：2023-12-15
- 稿件说明：
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冯正直, 廖成菊. 抑郁症负性情绪加工与认知控制神经模型研究进展[J]. 陆军军医大学学报, 2023,45(23):2395-2402.

Zhengzhi FENG, Chengju LIAO. A brain network model for depression: negative affective processing and cognitive control[J]. Journal of Army Medical University, 2023, 45(23): 2395-2402.
冯正直, 廖成菊. 抑郁症负性情绪加工与认知控制神经模型研究进展[J]. 陆军军医大学学报, 2023,45(23):2395-2402. DOI： 10.16016/j.2097-0927.202305118.

Zhengzhi FENG, Chengju LIAO. A brain network model for depression: negative affective processing and cognitive control[J]. Journal of Army Medical University, 2023, 45(23): 2395-2402. DOI： 10.16016/j.2097-0927.202305118.

摘要

抑郁症患者负性认知偏向是导致抑郁的一个主要认知因素，是抑郁症的一个稳定特质。以往研究从情绪加工增强和认知控制不足等认知角度来解释抑郁症产生的原因。随着研究的深入，情绪加工过程进一步研究不同负性认知加工偏向(注意偏向、解释偏向和记忆偏向)在抑郁症的产生机制；认知控制过程则进一步探讨其子成分功能(更新、抑制和转换)在抑郁症的调控机制。尤其结合当前认知神经领域的脑网络层级分析趋势，文章通过抑郁症“双路径层级网络模型”解释抑郁的产生，即由于“热”—“中间调节”—“冷”三级脑网络群，通过自下而上的情绪加工和自上而下的认知控制两条路径，形成一个“闭环神经回路”，三者相互作用，共同介导抑郁产生。

Abstract

Negative cognitive bias toward emotional stimuli is a main cognitive factor for depression

and also is a stable trait of depression. Previous studies showed enhanced negative affective processing and insufficient cognitive control can account for pathogenesis of depression

in terms of cognition. With the development of related researches

the mechanism of different negative cognitive biases (attention bias

processing bias and memory bias) in affective processing and the sub-component functions of cognitive control (updating

inhibiting and shifting) in depression were further studied. Especially in combination with the trend analysis of "neural network hierarchy" in the current cognitive neural field

we put forward a theoretical hypothesis of "dual-path hierarchical network model" for depression. That is

depression is caused by 3-level brain network of "heat"-"intermediate regulation"-"cold"

which forms a "closed-loop neural circuit" through the paths of bottom-up affective processing and top-down cognitive control

with the 3 brain networks interacting together and finally mediating to depression.

关键词

Keywords

references

STRASBURGER L H. Depression—clinical, experimental, and theoretical aspects[J]. Psychosom Med, 1968, 30(6): 890. DOI: 10.1097/00006842-196811000-00018.

FALES C L, BARCH D M, RUNDLE M M, et al . Altered emotional interference processing in affective and cognitive-control brain circuitry in major depression[J ] . Biol Psychiatry, 2008, 63(4): 377-384. DOI: 10.1016/j.biopsych.2007.06.012.

LIAO C, FENG Z, ZHOU D, et al . Dysfunction of fronto-limbic brain circuitry in depression[J ] . Neuroscience, 2012, 201: 231-238. DOI: 10.1016/j.neuroscience.201 1.10.053.

KLUMPP H, KINNEY K L, KENNEDY A E, et al . Trait attentional control modulates neurofunctional response to threat distractors in anxiety and depression[J ] . J Psychiatr Res, 2018, 102: 87-95. DOI: 10.1016/j.jpsychires.2018.03.011.

ZHENG R P, CHEN Y, JIANG Y, et al . Dynamic altered amplitude of low-frequency fluctuations in patients with major depressive disorder[J ] . Front Psychiatry, 2021, 12: 683610. DOI: 10.3389/fpsyt.2021.683610.

SHEENA M K, JIMMY J, BURKHOUSE K L, et al . Anterior cingulate cortex activity during attentional control corresponds with rumination in depression and social anxiety[J ] . Psychiatry Res Neuroimaging, 2021, 317: 111385. DOI: 10.1016/j.pscychresns.2021.111385.

BECK A T. The evolution of the cognitive model of depression and its neurobiological correlates[J]. Am J Psychiatry, 2008, 165(8): 969-977. DOI: 10.1176/appi.ajp.2008.08050721.

DISNER S G, BEEVERS C G, BECK A T, et al . Neural mechanisms of the cognitive model of depression[J ] . Nat Rev Neurosci, 2011, 12(8): 467-477. DOI: 10.1038/nrn3027

MA M Y, ZHANG X, ZHANG Y, et al . Childhood maltreatment was correlated with the decreased cortical function in depressed patients under social stress in a working memory task: a pilot study[J ] . Front Psychiatry, 2021, 12: 671574. DOI: 10.3389/fpsyt.2021.671574.

KOSTER E H, HOORELBEKE K. Cognitive bias modification for depression[J]. Curr Opin Psychol, 2015, 4: 119-123. DOI: 10.1016/j.copsyc.2014.11.012.

KAWAKUBO Y, YANAGI M, TSUJII N, et al . Repetition of verbal fluency task attenuates the hemodynamic activation in the left prefrontal cortex: enhancing the clinical usefulness of near-infrared spectroscopy[J ] . PLoS One, 2018, 13(3): e0193994. DOI: 10.1371/journal.pone.0193994.

SMITH R, LANE R D. The neural basis of one's own conscious and unconscious emotional states[J]. Neurosci Biobehav Rev, 2015, 57: 1-29. DOI: 10.1016/j.neubiorev.2015.08.003.

ZENG C, ROSS B, XUE Z M, et al . Abnormal large-scale network activation present in bipolar Mania and bipolar depression under resting state[J ] . Front Psychiatry, 2021, 12: 634299. DOI: 10.3389/fpsyt.2021.634299..

MORAWETZ C, RIEDEL M C, SALO T, et al . Multiple large-scale neural networks underlying emotion regulation[J ] . Neurosci Biobehav Rev, 2020, 116: 382-395. DOI: 10.1016/j.neubiorev.2020.07.001.

Scientific foundations of cognitive theory and therapy of depression[J]. J Psychother Pract Res, 2001, 10(4): 286-287.

BEEVERS C G, CLASEN P, STICE E, et al . Depression symptoms and cognitive control of emotion cues: a functional magnetic resonance imaging study[J ] . Neuroscience, 2010, 167(1): 97-103. DOI: 10.1016/j.neuroscience.2010.01.047.

TEO A R, NELSON S, STRANGE W, et al . Social withdrawal in major depressive disorder: a case-control study of hikikomori in Japan[J ] . J Affect Disord, 2020, 274: 1142-1146. DOI: 10.1016/j.jad.2020.06.011.

LIU X, YUAN J Z, GUANG Y, et al . Longitudinal in vivo diffusion tensor imaging detects differential microstructural alterations in the Hippocampus of chronic social defeat stress-susceptible and resilient mice[J ] . Front Neurosci, 2018, 12: 613. DOI: 10.3389/fnins.2018.00613..

CAUDEK C. Individual differences in cognitive control on self-referenced and other-referenced memory[J]. Conscious Cogn, 2014, 30: 169-183. DOI: 10.1016/j.concog.2014.08.017.

RENNER F, SIEP N, LOBBESTAEL J, et al . Neural correlates of self-referential processing and implicit self-associations in chronic depression[J ] . J Affect Disord, 2015, 186: 40-47. DOI: 10.1016/j.jad.2015.07.008.

YOUNG K D, FRIEDMAN E S, COLLIER A, et al . Response to SSRI intervention and amygdala activity during self-referential processing in major depressive disorder[J ] . Neuroimage Clin, 2020, 28: 102388. DOI: 10.1016/j.nicl.2020.102388.

LIU P, HAYDEN E P, DOUGHERTY L R, et al . The development of depressogenic self-schemas: associations with children's regional grey matter volume in ventrolateral prefrontal cortex[J ] . Dev Psychopathol, 2023, 35(3): 1000-1010. DOI: 10.1017/S0954579421000341.

KELLER M, ZWEERINGS J, KLASEN M, et al . fMRI neurofeedback-enhanced cognitive reappraisal training in depression: a double-blind comparison of left and right vlPFC regulation[J ] . Front Psychiatry, 2021, 12: 715898. DOI: 10.3389/fpsyt.2021.715898.

LEMOULT J, GOTLIB I H. Depression: a cognitive perspective[J]. Clin Psychol Rev, 2019, 69: 51-66. DOI: 10.1016/j.cpr.2018.06.008.

BOTVINICK M, BRAVER T, BARCH D, et al . Conflict monitoring and cognitive control[J ] . Psychol Rev, 2001, 108(3): 624-652. DOI: 10.1037/0033-295x.108.3.624

FAN J. An information theory account of cognitive control[J]. Front Hum Neurosci, 2014, 8: 680. DOI: 10.3389/fnhum.2014.00680.

SHAPIRA-LICHTER I, STRAUSS I, OREN N, et al . Conflict monitoring mechanism at the single-neuron level in the human ventral anterior cingulate cortex[J ] . Neuroimage, 2018, 175: 45-55. DOI: 10.1016/j.neuroimage.2018.03.028.

KERNS J G, COHEN J D, MACDONALD A W 3rd, et al . Anterior cingulate conflict monitoring and adjustments in control[J ] . Science, 2004, 303(5660): 1023-1026. DOI: 10.1126/science.1089910.

JOORMANN J, TANOVIC E. Cognitive vulnerability to depression: examining cognitive control and emotion regulation[J]. Curr Opin Psychol, 2015, 4: 86-92. DOI: 10.1016/j.copsyc.2014.12.006.

陈安涛. 认知控制基本功能的神经机制[J]. 生理学报, 2019, 71(1): 149-155.

CHEN A T. Neural mechanisms of basic functions of cognitive control[J]. Acta Physiol Sin, 2019, 71(1): 149-155.

RAY K L, RAGLAND J D, MACDONALD A W, et al . Dynamic reorganization of the frontal parietal network during cognitive control and episodic memory[J ] . Cogn Affect Behav Neurosci, 2020, 20(1): 76-90. DOI: 10.3758/s13415-019-00753-9.

LEVENS S M, GOTLIB I H. Updating positive and negative stimuli in working memory in depression[J]. J Exp Psychol Gen, 2010, 139(4): 654-664. DOI: 10.1037/a0020283.

TAYLOR J E, YAMADA T, KAWASHIMA T, et al . Depressive symptoms reduce when dorsolateral prefrontal cortex-precuneus connectivitynormalizes after functional connectivity neurofeedback[J ] . Sci Rep, 2022, 12(1): 2581. DOI: 10.1038/s41598-022-05860-1.

NOTEBAERT W, VERGUTS T. Cognitive control acts locally[J]. Cognition, 2008, 106(2): 1071-1080. DOI: 10.1016/j.cognition.2007.04.011.

HOUGHTON G, TIPPER S P. Inhibitory mechanisms of neural and cognitive control: applications to selective attention and sequential action[J]. Brain Cogn, 1996, 30(1): 20-43. DOI: 10.1006/brcg.1996.0003.

戴琴, 冯正直. 抑郁个体对情绪面孔的返回抑制能力不足[J]. 心理学报, 2009, 41(12): 1175-1188.

DAI Q, FENG Z. Deficient inhibition of return for emotional faces in depression[J]. Acta Psychol Sin, 2009, 41(12): 1175-1188.

NEJATI V, MAJIDINEZHAD M, NITSCHE M. The role of the dorsolateral and ventromedial prefrontal cortex in emotion regulation in females with major depressive disorder (MDD): a tDCS study[J]. J Psychiatr Res, 2022, 148: 149-158. DOI: 10.1016/j.jpsychires.2022.01.030.

YANG Z, OATHES D J, LINN K A, et al . Cognitive behavioral therapy is associated with enhanced cognitive control network activity in major depression and posttraumatic stress disorder[J ] . Biol Psychiatry Cogn Neurosci Neuroimaging, 2018, 3(4): 311-319. DOI: 10.1016/j.bpsc.2017.12.006.

DREVETS W C. Orbitofrontal cortex function and structure in depression[J]. Ann N Y Acad Sci, 2007, 1121(1): 499-527. DOI: 10.1196/annals.1401.029.

RAVIZZA S M, CARTER C S. Shifting set about task switching: behavioral and neural evidence for distinct forms of cognitive flexibility[J]. Neuropsychologia, 2008, 46(12): 2924-2935. DOI: 10.1016/j.neuropsychologia.2008.06.006.

GRÖNHOLM-NYMAN P, SOVERI A, RINNE J O, et al . Limited effects of set shifting training in healthy older adults[J ] . Front Aging Neurosci, 2017, 9: 69. DOI: 10.3389/fnagi.2017.00069.

LIU H T, FUNKHOUSER C J, LANGENECKER S A, et al . Set shifting and inhibition deficits as potential endophenotypes for depression[J ] . Psychiatry Res, 2021, 300: 113931. DOI: 10.1016/j.psychres.2021.113931.

CHEN X, FENG Z Z, WANG T, et al . Internal switching and backward inhibition in depression and rumination[J ] . Psychiatry Res, 2016, 243: 342-348. DOI: 10.1016/j.psychres.2016.06.014.

VERGARA-LOPEZ C, LOPEZ-VERGARA H I, ROBERTS J E. Testing a "content meets process" model of depression vulnerability and rumination: exploring the moderating role of set-shifting deficits[J]. J Behav Ther Exp Psychiatry, 2016, 50: 201-208. DOI: 10.1016/j.jbtep.2015.08.002.

ZETSCHE U, BVRKNER P C, SCHULZE L. Shedding light on the association between repetitive negative thinking and deficits in cognitive control-A meta-analysis[J]. Clin Psychol Rev, 2018, 63: 56-65. DOI: 10.1016/j.cpr.2018.06.001.

LANGE C, ADLI M, ZSCHUCKE E, et al . Affective set-shifting deficits in patients with major depression in remission[J ] . J Psychiatr Res, 2012, 46(12): 1623-1626. DOI: 10.1016/j.jpsychires.2012.09.007.

HOLMES A, WELLMAN C L. Stress-induced prefrontal reorganization and executive dysfunction in rodents[J]. Neurosci Biobehav Rev, 2009, 33(6): 773-783. DOI: 10.1016/j.neubiorev.2008.11.005.

PARK J, WOOD J, BONDI C, et al . Anxiety evokes hypofrontality and disrupts rule-relevant encoding by dorsomedial prefrontal cortex neurons[J ] . J Neurosci, 2016, 36(11): 3322-3335. DOI: 10.1523/JNEUROSCI.4250-15.2016.

HEISLER J M, MORALES J, DONEGAN J J, et al . The attentional set shifting task: a measure of cognitive flexibility in mice[J ] . J Vis Exp, 2015(96): 51944. DOI: 10.3791/519 44.

CL N, DC H, LALLY N, et al . The neural basis of hot and cold cognition in depressed patients, unaffected relatives, and low-risk healthy controls: an fMRI investigation[J ] . J Affect Disord, 2020, 274: 389-398. DOI: 10.1016/j.jad.2020.05.022.

SALEHINEJAD M A, GHANAVATI E, RASHID M H A, et al . Hot and cold executive functions in the brain: a prefrontal-cingular network[J ] . Brain Neurosci Adv, 2021, 5: 23982128211007769. DOI: 10.1177/23982128211007769.

PIRES L, LEITÃO J, GUERRINI C, et al . Cognitive control during a spatial Stroop task: comparing conflict monitoring and prediction of response-outcome theories[J ] . Acta Psychol (Amst), 2018, 189: 63-75. DOI: 10.1016/j.actpsy.2017.06.009.

HOPMAN H J, CHOY H Y, HO W S, et al . The effects of repetitive transcranial magnetic stimulation antidepressant response on cold cognition: a single-arm prospective longitudinal study[J ] . Neuropsychiatr Dis Treat, 2021, 17: 1647-1658. DOI: 10.2147/NDT.S307119.

HAN K, CHAPMAN S B, KRAWCZYK D C. Neuroplasticity of cognitive control networks following cognitive training for chronic traumatic brain injury[J]. Neuroimage Clin, 2018, 18: 262-278. DOI: 10.1016/j.nicl.2018.01.030.

DONG S Y, CHOI J, PARK Y, et al . Prefrontal functional connectivity during the verbal fluency task in patients with major depressive disorder: a functional near-infrared spectroscopy study[J ] . Front Psychiatry, 2021, 12: 659814. DOI: 10.3389/fpsyt.2021.659814.

SCANGOS K W, MAKHOUL G S, SUGRUE L P, et al . State-dependent responses to intracranial brain stimulation in a patient with depression[J ] . Nat Med, 2021, 27(2): 229-231. DOI: 10.1038/s41591-020-01175-8.

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