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涂毅恒
健康与遗传心理学研究室 研究员
电 话:  010-64853798
传 真:  
通讯地址:  北京市朝阳区林萃路16号院中国科学院心理研究所
邮政编码:  100101
电子邮件:  tuyh@psych.ac.cn
课题组网站:  http://tulab.psych.ac.cn/

简历:

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

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;

2 研究疼痛预测和干预的神经机制,建立客观评估疼痛感受的多维度模型;

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,并实现临床转化。

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。

社会任职:
获奖及荣誉:
代表论著:

1. Tu, Y. H., Wilson, G., Camprodon, J., Dougherty, D., Vangel, M., Benedetti, F., Kaptchuk, T., Gollub, R. and Kong, J.*, (2021) “Manipulating placebo analgesia and nocebo hyperalgesia by changing brain excitability”, Proceedings of National Academy of Sciences, 118:e2101273118.

2. Tu, Y. H., Cao, J., Guler, S., Zhang, T., Camprodon, J., Vangel, M., Gollub, R., Dougherty, D. and Kong, J. *, (2021) “Perturbing fMRI brain dynamics using transcranial direct current stimulation”, NeuroImage, 237:118100.

3. Tu, Y. H., Pantazis, D., Wilson, G., Khan, S., Ahlfors, S. and Kong, J.*, (2021) “How expectations of pain elicited by consciously and unconsciously perceived cues unfold over time”, NeuroImage, 235:117985.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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 dhole-brain dynamism in autism”, Neuroimage, 190: 191-204.

14. 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) “A distinct biomarker of continuous transcutaneous vagus nerve stimulation treatment in major depressive disorder”, Brain Stimulation, 11: 501-508.

15. 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.

16. 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.

17. 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.

18. 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 application to brain–computer interface”, Clinical Neurophysiology,125, 2372-2383.

# 共同第一作者,*通讯作者
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