涂毅恒 - 中国科学院心理研究所 -

个人简介

2012-2016年　　　香港大学　　　　　　　　　　博士 2017-2019年　　　哈佛大学医学院与麻省总医院　博士后 2019-2020年　　　哈佛大学医学院与麻省总医院　讲师 2020年11月至今　中国科学院心理研究所　　　　研究员课题组（转化神经成像与调控实验室）招聘博士后和助理研究员，有意者请与涂毅恒研究员联系。

研究领域

1 结合人工智能算法和多模态神经成像技术识别疼痛和相关脑疾病的神经生物学指标，实现精准诊断和干预； 2 研究安慰剂和反安慰剂效应的神经机制，开发新型的心理镇痛疗法，并实现临床转化； 3 探索神经调控技术的相关机制和特性，开发自适应和个性化神经调控系统，将观察神经响应推进到操控神经响应。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Tu, Y. H., Fu, Z. N., Gollub, R., Park, J., Wilson, J., Napadow, V., Gerber, J., Chan, S. T., Edwards, R., Kaptchuk, T., Calhoun, V., Rosen, B. and Kong, J.*, (2020) “Distinct thalamocortical network dynamics are associated with the pathophysiology of chronic low back pain”, Nature Communications, 11:3948. 2. Tu, Y. H., Bi, Y. Z., Zhang, L. B., Wei, H., and Hu, L*. (2020), “Mesocorticolimbic Pathways Encode Cue Based Expectancy Effects on Pain”, Journal of Neuroscience, 40: 382-394. 3. Tu, Y. H.#, Zeng, F.#, Lan, L.#, Li, Z. J., Maleki, N., Liu, B., Chen, J., Wang, C. C., Park, J., Lang, C., Gao, Y. J., Liu, M. L., Fu, Z. N., Zhang, Z. G., Liang, F. R.* and Kong, J.*, (2020) “An fMRI based Neural Marker for Migraine”, Neurology, 94: e741-e751. 4. Tu, Y. H.#, Fu, Z. N.#, Zeng, F.#, Maleki, N., Lan, L., Li, Z. J., Park, J., Wilson, G., Gao, Y. J., Liu, M. L., Calhoun. V., Liang, F. R.* and Kong, J.*, (2019) “Abnormal Thalamo-cortical Dynamics in Migraine”, Neurology, 92: e2706-2716. 5. Tu, Y. H., Fu, Z. N., Maleki, N.*, (2019) “When Does the Youthfulness of the Female Brain Emerge?”, Proceedings of the National Academy of Sciences, 116: 10632-10633. 6. Tu, Y. H., Jung, M., Gollub, R., Napadow, V., Gerber, J., Ortiz, A., Lang, C., Mawla, I., Shen, W., Chan, S. T., Wasan, A., Edwards, R., Kaptchuk, T., Rosen, B. and Kong, J.*, (2019) “Abnormal Medial Prefrontal Cortex Functional Connectivity and Its Association with Clinical Symptoms in Chronic Low Back Pain”, Pain, 160: 1308-1318. 7 Tu, Y. H., Zhang, B. L., Cao, J., Wilson, J., Zhang, Z. G. and Kong, J.*, (2019) “Identifying Inter-individual Differences in Pain Threshold Using Brain Connectome: a Test-retest Reproducible Study”, Neuroimage, 202: 116049. 8. Tu, Y. H., Ortiz, A., Gollub, R., Cao, J., Gerber, J., Lang, C., Park, J., Wilson, G., Shen, W., Chan, S. T., Wasan, A., Edwards, R., Kaptchuk, T., Rosen, B. and Kong, J.*, (2019) “Multivariate Resting-state Functional Connectivity Predicts Responses to Real and Sham Treatment in Chronic Low Back Pain”, Neuroimage Clinical, 23: 101885. 9. Tu, Y. H., Park, J., Ahlfors, S., Khan, S., Egorova, N., Cao, J. and Kong, J.*, (2019) “A Neural Mechanism of Direct and Observational Conditioning for Placebo and Nocebo Responses”, Neuroimage, 184: 954-963. 10. Fu, Z. N. # *, Tu, Y. H.#, Di, X., Du, Y. H., Sui, J., Biswal, B., Zhang, Z. G., Lacy, N. and Calhoun, V., (2019) “Transient Increased Thalamic-Sensory Connectivity and Decreased Whole-brain Dynamism in Autism”, Neuroimage, 190: 191-204. 11. Tu, Y. H. #, Fang, J. L. #, Cao, J., Wang, Z. J., Park. J., Jorgenson, K., Lang, C., Liu, J., Zhang, G. L., Zhao, Y. P., Zhu, B., Rong, P. J.* and Kong, J.*, (2018) “Distinct Biomarker of Continuous Transcutaneous Vagus Nerve Stimulation Treatment in Major Depressive Disorder”, Brain Stimulation, 11: 501-508. 12. Tu, Y. H. #, Fu, Z. N. #, Tan, A., Huang, G., Hu, L., Hung, Y. S. and Zhang, Z. G.*, (2018) “A Novel and Effective fMRI Decoding Approach based on Sliced Inverse Regression and Its Application to Pain Prediction”, Neurocomputing, 273: 373-384. 13. Fu, Z. N.#*, Tu, Y. H.#, Di, X., Du, Y. H., Pearlson, G. D., Turner, J. A., Biswal, B. B., Zhang, Z. G., Calhoun, V. D., (2018) “Characterizing Dynamic Amplitude of Low-frequency Fluctuation and its Relationship with Dynamic Functional Connectivity: an Application to Schizophrenia”, Neuroimage, 180: 619-631. 14. Tu, Y. H., Zhang, Z. G.*, Tan, A., Peng, W. W., Hung, Y. S., Moayedi, M., Iannetti, G. D., and Hu, L.*, (2016) “Alpha and Gamma Oscillation Amplitudes Synergistically Predict the Perception of Forthcoming Nociceptive Stimuli”, Human Brain Mapping, 37, 501-514. 15. Tu, Y. H., Hu, L., Huang, G., Hung, Y. S., Hu, Y., and Zhang, Z. G.*, (2014) “An Automated and Fast Approach to Detect Single Trial Visual Evoked Potentials with Applications to Brain-computer Interface”, Clinical Neurophysiology,125, 2372-2383.