副教授，博士生导师
南方医科大学公共卫生学院心理学系
020-62789234；ruibinzhang@foxmail.com;
谷歌学术：https://scholar.google.com.hk/citations?user=IpCqn_oAAAAJ&hl=zh-CN
Research gate: https://www.researchgate.net/
教育经历
2007.09-2011.07 福建中医药大学， 应用心理学， 本科
2011.09-2014.07 华南师范大学，计量心理学，硕士
2011.09- 2018.07 香港大学，神经心理学，博士
工作经历
2018.07 -至今 南方医科大学公共卫生学院心理学系 副教授
2023.03~至今 香港大学心理学系 荣誉助理教授
研究方向
以健康个体和临床精神疾患个体为研究对象，结合行为学、脑影像、生理学、颅内电极（后续努力挖掘和关注）、计算精神病学（我相信这是心理学的未来）等手段充分探究认知控制的脑机制，并且基于基础研究的成果，采用认知行为训练、神经调控的方式促进临床精神疾患个体的脑健康。目前建有认知控制与脑健康实验（Cognitive Control and Brain Healthy Lab），简称CCB(寓意：像中国建设银行一样积极的建设大脑的健康，促进大脑的健康)，具体而言，目前课题组在国自然等项目的支持下，从事以下研究：
1. 抑郁症反刍思维的机制及干预研究；
2. 抑郁症的积极情绪维持及其在阈下抑郁临床转归中的作用机制；
3. 阈下抑郁的探索性行为与快感体验的关系；
4. 基于脑成像数据探索影响脑健康的生物标记（基于开放的数据或课题组数据进行挖掘，主要是为了训练学生的数据分析和基础科研能力）。
招生信息
招生方面要求：只要你对心理学，尤其是对脑科学感兴趣，并且愿意走下去（劳其筋骨—勤奋、苦其心志—坚毅），课题竭尽所能的支撑你！目前2届硕士毕业生，百分百境外、国外升学（香港大学、香港理工大学、比利时根特大学攻读博士学位）！不说不可以，而是你可以！只要你觉得你可以，就可以考虑联系我！
对未来的你寄语：来了就不要轻易放弃，走下去就是一条行得通的路！
课题组目前的培养方式：
第一年学习数据处理，知道数据是怎样的，接受从直观的行为数据到高维数组的转变，以小问题的解决完成对研究思维的训练；
第二年沉心准备毕业论文的实验和实验的开展；
第三年毕业论文实验的扫尾与论文的撰写，后续就业升学的准备。
获奖情况
2014年 华南师范大学 优秀毕业生
2011年 福建中医药大学 优秀毕业生
2020年 南方医科大学本科课程教学竞赛 三等奖
发表文章 （*，课题组研究生或本科生一作，#，通讯作者）
*Niu L, Song X, Li Q, Peng L, Dai H, Zhang J, Chen K, Lee TMC, Zhang R(#) (2024) Age-related positive emotional reactivity decline associated with the anterior insula based resting state functional connectivity Human Brain Mapping, 45(2), e26621. https:// doi.org/10.1002/hbm.26621
*Long J, Song X, Wang C, Peng L, Niu L, Li Q, Huang R, Zhang R(#) (2024) Global-brain functional connectivity related with trait anxiety and its association with gene expression profiles, Journal Affective Disorder. 2024 Mar 1;348:248-258. doi: 10.1016/j.jad.2023.12.052.
*Song X, Niu L, Admon R, Li Q, Peng L, Lee TMC, Zhang R(#) (2024) Aberrant positive affective dynamics in individuals with subthreshold depression: evidence from laboratory-based task and ecological momentary assessment, International Journal of Clinical and Health Psychology, 2024 Jan-Mar;24(1):100427. doi: 10.1016/j.ijchp.2023.100427.
*Chen Z+, Song X+, Lee TMC, Zhang R(#). The robust reciprocal relationship between loneliness and depressive symptoms among the general population: Evidence from a quantitative analysis of 37 studies. J Affect Disord. 2023 Oct 3:S0165-0327(23)01179-5.
*Zhou H+, Zhu Z+, Feng X(#), Zhang R(#) (2023) Low mindfulness is related to poor sleep quality from middle adolescents to emerging adults: a process model involving resilience and emotional dysfunction, BMC Psychiatry 10.1186/s12888-023-05092-1
*Zhu Z, Wang S, Lee TMC(#), Zhang R(#). Habenula functional connectivity variability increases with disease severity in individuals with major depression. J Affect Disord. 2023 Jul 15;333:216-224. doi: 10.1016/j.jad.2023.04.082.
*He J+, Song X+, Wang C, Zhang R(#) (2023) The mediation role of intercultural sensitivity on the relationship between implicit intercultural identification and emotional disturbances - An exploratory study on students from international high school, Frontier in Psychiatry
Wijaya Teresa, Jin R, Liu X, Zhang R, Lee MC (2022)Towards a multidimensional model of inflamed depression Brain, Behavior, & Immunity – Health, In press
*Yan H+, Lay W+, Eickhoff S, Long J, Song X, Wang C, Zhao J, Feng X, Huang R, Wang M, Zhang X(#) Zhang R(#). (2022) Charting the Neural Circuits Disruption in Inhibitory Control and Its Subcomponents across Psychiatric Disorders: a Neuroimaging Meta-Analysis, Progress in Neuropsychopharmacology & Biological Psychiatry, https://doi.org/10.1016/j.pnpbp.2022.110618
*Long J, Song X, Wang Y, Wang C, Huang R, Zhang R(#),(2022) Distinct neural activation pattern of age on subcomponents of inhibitory control: a fMRI meta-analysis, Fronterior in Aging Neuroscience.
Yao S, Zhu J, Li S, Zhang R, Zhao J, Yang X, Wang Y (2022) Bibliometric analysis of quantitative electroencephalogram research in neuropsychiartric disorders from 2000 to 2021, Fronterior Psychiatry 13 :830819.
*Song X, Long J, Wang C, Zhang R(#), Lee T(#) (2022) The inter-relationships of the neural basis of rumination and inhibitory control: Neuroimaging-based meta-analyses, Psychoradiology, https://doi.org/10.1093/psyrad/kkac002
*Wang C, Song X, Lee TMC, Zhang R(#). Psychometric Properties of the Chinese Version of the Brief State Rumination Inventory. Front Public Health. 2022 Mar 10;10:824744. doi: 10.3389/fpubh.2022.824744. PMID: 35359769; PMCID: PMC8960134.
Zhang R(#), Peng X, Song X, Long J, Wang C, Zhang C, Huang R, Lee TMC. The prevalence and risk of developing major depression among individuals with subthreshold depression in the general population. Psychol Med. 2023 Jun;53(8):3611-3620. doi: 10.1017/S0033291722000241.
*Zhu Z, Wang Y, Lau WKW, Wei X, Liu Y, Huang R, Zhang R. (#) Hyperconnectivity between the posterior cingulate and middle frontal and temporal gyrus in depression: Based on functional connectivity meta-analyses. Brain Imaging Behav. 2022 Aug;16(4):1538-1551. doi: 10.1007/s11682-022-00628-7.
Xiao S, Shi L, Xue Y, Zheng X, Zhang J, Chang J, Lin H, Zhang R, Zhang C (2021) The relationship between activities of daily living and psychological distress among Chinese older adults: A serial multiple mediation model, Jounral of Affective Disorders Dec 24;300:462-468.doi: 10.1016/j.jad.2021.12.069.
Zhang R, Tam STS, Wong NML, Wu J, Tao J, Chen L, Lin K, Lee TMC. Aberrant functional metastability and structural connectivity are associated with rumination in individuals with major depressive disorder. Neuroimage Clin. 2022;33:102916. doi: 10.1016/j.nicl.2021.102916.
Qiu Y, Fan Z, Zhong M, Yang J, Wu K, Hu H, Zhang R, Guo Y, Lee TMC, Huang R. (2021) Brain activation elicited by acute stress: An ALE meta-analysis Neuroscience Behavior Review
*Zhao G, Lau WKW, Wang C, Yan H, Zhang C, Lin K, Qiu S, Huang R, Zhang R. (#) A Comparative Multimodal Meta-analysis of Anisotropy and Volume Abnormalities in White Matter in People Suffering From Bipolar Disorder or Schizophrenia. Schizophr Bull. 2022 Jan 21;48(1):69-79. doi: 10.1093/schbul/sbab093.
*Wang C, Wang Y, Lau WKW, Wei X, Feng X, Zhang C, Liu Y, Huang R, Zhang R. (#) Anomalous static and dynamic functional connectivity of amygdala subregions in individuals with high trait anxiety. Depress Anxiety. 2021 Aug;38(8):860-873. doi: 10.1002/da.23195.
Li J, Zhang R, Liu S, Liang Q, Zheng S, He X, Huang R (2021) Human spatioal naviagtion: neural representions of spatial scales and references frames obtained from an ALE meta-analysis, Neuroimage (In press)
Zhang R(#), Lam CLM, Peng X, Zhang D, Zhang C, Huang R, Lee TMC. Efficacy and acceptability of transcranial direct current stimulation for treating depression: A meta-analysis of randomized controlled trials. Neurosci Biobehav Rev. 2021 Jul;126:481-490. doi: 10.1016/j.neubiorev.2021.03.026.
Qin Z, Shi L, Xue Y, Lin H, Zhang J, Liang P, Lu Z, Wu M, Chen Y, Zheng X, Qian Y, Ouyang P, Zhang R(#), Yi X(#), Zhang C(#) (2021) Psychological distress of home confinement on primary and secondary students during the COVID-19 pandemic, JAMA Network Open 2021 Jan 4;4(1):e2035487. doi: 10.1001/jamanetworkopen.2020.35487.
Lau WKW, Leung MK, Zhang R(#). Hypofunctional connectivity between the posterior cingulate cortex and ventromedial prefrontal cortex in autism: Evidence from coordinate-based imaging meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry. 2020 Dec 20;103:109986. doi: 10.1016/j.pnpbp.2020.109986.
Peng X, Lau WKW, Wang C, Ning L, Zhang R(#). Impaired left amygdala resting state functional connectivity in subthreshold depression individuals. Sci Rep. 2020 Oct 14;10(1):17207. doi: 10.1038/s41598-020-74166-x.
Zhang R, Kranz GS, Zou W, Deng Y, Huang X, Lin K, Lee TMC. Rumination network dysfunction in major depression: A brain connectome study. Prog Neuropsychopharmacol Biol Psychiatry. 2020 Mar 2;98:109819. doi: 10.1016/j.pnpbp.2019.109819.
Wang H, Yang X, Zhang R, Wang Y(2020). Effect of the COVID-19 related stress on depression, anxiety, and insomnia among candidates for college entrance examination Contemporary Prevention Medicine. 2020(18) (Chinese Version)
Zhang R, Kranz GS, Lee TMC. Functional Connectome from Phase Synchrony at Resting State is a Neural Fingerprint. Brain Connect. 2019 Sep;9(7):519-528. doi: 10.1089/brain.2018.0657.
Zhang R, Shao R, Xu G, Lu W, Zheng W, Miao Q, Chen K, Gao Y, Bi Y, Guan L, McIntyre RS, Deng Y, Huang X, So KF, Lin K. Aberrant brain structural-functional connectivity coupling in euthymic bipolar disorder. Hum Brain Mapp. 2019 Aug 15;40(12):3452-3463. doi: 10.1002/hbm.24608.
Yu J, Tao Q, Zhang R(#), Chan CCH, Lee TMC. Can fMRI discriminate between deception and false memory? A meta-analytic comparison between deception and false memory studies. Neurosci Biobehav Rev. 2019 Sep;104:43-55. doi: 10.1016/j.neubiorev.2019.06.027.
Zhang R, Geng X, T. MC Lee (2017) Functional neural network correlates of response inhibition: An fMRI meta-analysis. Brain structure & function, DOI: 10.1007/s00429-017-1443-x
Cotier F+, Zhang R+, MC Lee (2017) A longitudinal study of short term meditation training on functional network organization of the aging brain, Scientific Reports Doi:10.1038/s41598-017-00678-8 (+, co-first author)
Weng L, Xie Q, Zhao L, Zhang R et al (2017) Abnormal structural connectivity between the basal ganglia, thalamus, and frontal cortex in patients with disorders of consciousness Cortex, http://dx.doi.org/10.1016/j.cortex.2017.02.011
Zhang R., Picchioni M., Allen P., Toulopoulou T. (2016) Working memory in nonpsychotic relatives of patients with schizophrenia: a meta-analysis of fMRI studies. Schizophrenia Bulletin, doi：10.1093/schbul/sbv221
Andre J., Picchioni M., Zhang R., Toulopoulou T. (2016) Working memory circuit as a function of increasing age in healthy adolescence: A systematic review and meta-analyses. Neuroimage: Clinical doi:10.1016/j.nicl.2015.12.002
Li C., Huang B., Zhang R., Ma Q., Yang W., Wang L., Wang L., Xu Q., Feng J., Liu L., Zhang Y., Huang R. (2016) Impaired topological architecture of brain structural networks in idiopathic Parkinson’s disease: a DTI study, Brain Imaging and Behavior doi: 10.1007/s11682-015-9501-6
Zhang, R, Jiang, G, Qiu, Y, Wen, X, et al. (2015). Abnormal white matter structural networks characterize heroin-dependent individuals: a network analysis. Addiction Biology. DOI: doi:10.1111/adb.12234.
Wang J, Lu M, Fan Y, Wen X, Zhang R, Wang B, Ma Q, Song Z, He Y, Wang J, Huang R (2015). Exploring brain functional plasticity in world class gymnasts: a network analysis. Brain Struct Funct, doi: 10.1007/s00429-015-1116-6
Wen X, Zhang D, Liang, B, Zhang R, Wang Z, Wang J, Liu M, Huang R (2015). Reconfiguration of the brain functional network associated with visual task demands. Plos One, doi: 10.1371/journal.pone.0132518.
Wei,Q, Li, M, Kang Z, Li, L, Diao, F, Zhang, R, et al (2015), ZNF804A rs1344706 is associated with cortical thickness, surface area, and cortical volume of the unmedicated first episode schizophrenia and healthy controls, Am J Med Genet B Neuropsychiatric Genetics, 168B(4):265-73. doi: 10.1002/ajmg.b.32308.
Zhang, R., Wei, Q., Kang, Z., Zalesky, A., Li, M., Xu, Y., et al. (2014). Disrupted brain anatomical connectivity in medication-naive patients with first-episode schizophrenia. Brain Struct Funct. DOI: 10.1007/s00429-014-0706-z.
Li, M., Tian, J., Zhang, R., Qiu, Y., Wen, X., Ma, X., et al. (2014). Abnormal cortical thickness in heroin-dependent individuals. Neuroimage, 88, 295-307.
Xu. Y, Qiu, S, Wang, J, Liu, Z, Zhang, R. et al., (2014) Disrupted topological properties of brain white matter networks in left temporal lobe epilepsy: A DTI study. Neuroscience , DOI: 10.1016/j.neuroscience.2014.08.040.
Wang, J., Qiu, S., Xu, Y., Liu, Z., Wen, X., Hu, X., Zhang, R., et al. (2014). Graph theoretical analysis reveals disrupted topological properties of whole brain functional networks in temporal lobe epilepsy. Clinical Neurophysiology. DOI: 10.1016/j.clinph.2013.12.120.
Li, Y, Zhang, R., (2014) A study of cognitive style and empathy ability of undergraduate of psychological specialty in medical university. Journal of Jimei University (Philosophy and Social Sciences), 15 (2) 25-29. (Chinese Version)
Jiang, G., Wen, X., Qiu, Y., Zhang, R., Wang, J., Li, M., et al. (2013). Disrupted topological organization in whole-brain functional networks of heroin-dependent individuals: a resting-state FMRI study. PLoS One, 8(12), e82715.
Wang, B., Fan, Y., Lu, M., Li, S., Song, Z., Peng, X., Zhang, R., et al. (2013). Brain anatomical networks in world class gymnasts: A DTI tractography study. Neuroimage, 65, 476-487.
科研项目
国家自然科学基金委面上项目，32271139，tDCS改善阈下抑郁个体积极情绪体验模式的行为及脑机制研究， 2023.01-2026.12， 54万，在研，主持
科技部脑科学类脑研究青年项目 PV神经元亚型调控焦虑障碍发生的机制及干预手段研究，2022.01-2026.12 500万 在研 子课题负责人（获得70万资助）
香港大学脑与认知科学国家重点实验室开放基金 项目名称：急性应激对高反刍个体的记忆抑制的影响及脑机制探究，2022.01-2024.12 15万港币 在研 主持
广州市哲学社会科学发展“十四五”规划羊城青年学人项目 项目名称：广州建设温馨温暖的老年友好型城市研究：社区社会资本对来穗支援子女型移居老人心理健康影响及调节策略研究（2022GZQN030），2022.05- 2024.05 3万 在研 主持
广州市基础与应用基础研究项目（一般项目）情绪工作记忆训练降低个体反刍思维的动态计算行为及脑机制探究，2023.04-2025.03，5万，在研，主持
广东省基础与应用基础研究基金自然科学基金项目（面上项目），基于时空精神病理学模式探究阈下抑郁的脑机制及其临床转归，2023.01-2025.12，10万，在研，主持
国家自然科学基金委青年科学基金项目， 31900806， 项目名称：基于反刍思维为靶点的抑制控制训练干预抑郁症状的效果及脑机制研究，2020.01-2022.12 25万元 结题 主持
2018高水平大学-引进高层次人才科研经费-第四层次（C1051236）：急性应激下不同反刍倾向个体的神经生理及其大脑神经机制探究 2018.09-2021.08 100万 结题 主持