Location:Home>Scientist>Faculty and Staff
Hu Li
Mailing Address:  16 Lincui Road, Chaoyang District, Beijing 100101, China
Email:  huli@psych.ac.cn
Research Interests:
Community service:
Selected Publications:

1. Hu, L.#, Iannetti, G.D., 2019. Neural indicators of perceptual variability of pain across species. PNAS, doi.org/10.1073/pnas.1812499116.

2. Jin, Q.Q., Wu, G.Q., Peng, W.W., Xia, X.L., Hu, L.#, Iannetti, G.D., 2018. Somatotopic representation of second pain in the primary somatosensory cortex of humans and rodents. The Journal of Neuroscience, 38(24): 5538-5550.

3. Peng, W.W., Xia, X.L., Yi, M., Zhang, Z.G., Huang, G., Iannetti, G.D., Hu, L.#, 2018. Brain oscillations reflecting pain-related behavior in freely-moving rats. Pain, 159(1): 106-118.

4. Liu, J.X., Liu, H.J., Mu, J.Y., Xu, Q., Chen, T., Dun, W.H., Yang, J., Tian, J., Hu, L.#, Zhang, M., 2016. Altered white matter microarchitecture in the cingulum bundle in women with primary dysmenorrhea: a tract-based analysis study. Human Brain Mapping, 38(9):4430-4443.

5. Hu, L.#, Iannetti, G.D., 2016. Painful issues in pain prediction. Trends in Neurosciences, 39(4): 212-220.

6. Hu, L.#, Iannetti, G.D., 2016. Issues in pain prediction – beyond pain and gain. Trends in Neurosciences, 39(10): 640-642.

7. Xia, X.L., Peng, W.W., Iannetti, G.D., Hu, L.#, 2016. Laser-evoked cortical responses in freely-moving rodents reflect the activation of C-fibre afferent pathways. NeuroImage, 128: 209-217.

8. Tu, Y.H., Zhang, Z.G., Tan, A., Peng, W.W., Hung, Y.S., Moayedi, M., Iannetti, G.D., Hu, L.#, 2016. Alpha and Gamma Oscillation Amplitudes Synergistically Predict the Perception of Forthcoming Nociceptive Stimuli. Human Brain Mapping, 37 (2), 501-514.

9. Hu, L.#, Xia, X.L., Peng, W.W., Su, W.X., Luo, F., Yuan, H., Chen, A.T., Liang, M., Iannetti, G.D., 2015. Was It a Pain or a Sound? Across-species Variability in Sensory Sensitivity. Pain, 156 (12), 2449-2457.

10. Hu, L.#, Zhang, L., Chen, R., Yu, H.B., Li, H., Mouraux, A., 2015. The primary somatosensory cortex and the insula contribute differently to the processing of transient and sustained nociceptive and non-nociceptive somatosensory inputs. Human Brain Mapping, 36 (11), 4346-4360.

11. Hu, L.#, Zhang, Z.G., Mouraux, A., Iannetti, G.D., 2015. Multiple linear regression to estimate time-frequency electrophysiological responses in single trials. NeuroImage, 111: 442-453.

12. Hu, L.#, Cai, M.M., Xiao, P., Luo, F., Iannetti, G.D., 2014. Human Brain Responses to Concomitant Stimulation of Aδ and C Nociceptors. The Journal of Neuroscience, 34 (34): 11439-11451.

13. Hu, L.#, Xiao, P., Zhang, Z.G., Mouraux, A., Iannetti, G.D., 2014. Single-trial time-frequency analysis of electrocortical signals: baseline correction and beyond. NeuroImage, 84: 876–887.

14. Hu, L.#, Valentini, E., Zhang, Z.G., Liang, M., Iannetti, G.D., 2014. The primary somatosensory cortex contributes to the latest part of the cortical response elicited by nociceptive somatosensory stimuli in humans. NeuroImage, 84: 383–393.

15. Huang, G., Xiao, P., Iannetti, G.D., Zhang, Z.G., Hu, L.#, 2013. A novel approach to predict subjective pain perception from single-trial laser-evoked potentials. NeuroImage, 81:283-293.

16. Liang, M., Mouraux, A., Hu, L., Iannetti, G.D., 2013. Primary Sensory Cortices Contain Distinguishable Spatial Patterns of Activity for Each Sense. Nature Communications, 4:1979.

17. Zhang, Z.G.*, Hu, L.*, Hung, Y.S., Mouraux, A., Iannetti, G.D., 2012. Gamma-band oscillations in the primary somatosensory cortex – a direct and obligatory correlate of subjective pain intensity. The Journal of Neuroscience, 32(22):7429-7438.

18. Hu, L., Zhang, Z.G., Hu, Y., 2012. A Time-Varying Source Connectivity Approach to Reveal Human Somatosensory Information Processing. NeuroImage, 62:217-228.

19. Valentini, E.*, Hu, L.*, Chakrabarti, B., Aglioti, S.M., Hu, Y., Iannetti, G.D., 2012. The primary somatosensory cortex largely contributes to the early part of the cortical response elicited by nociceptive stimuli. NeuroImage, 59(2):1571-81.

20. Hu, L., Mouraux, A., Hu, Y., Iannetti, G.D., 2010. A novel approach for enhancing the signal-to-noise ratio and detecting automatically event-related potentials (ERPs) in single trials. NeuroImage 50, 99-111.