Meng Liang, Ph.D

Meng Liang, Ph.D


School of Medical Imaging

Tianjin Medical University

1 Guangdong Road

Tianjin 300203




Bachelor  Ocean University of China, Qingdao, China, 2000

Master      Ocean University of China, Qingdao, China, 2003

Ph.D.        Institute of Automation, Chinese Academy of Sciences, Beijing, China, 2006


Professional Experience

2006.07-2009.12     Postdoctoral Research Scientist, Department of Physiology, Anatomy and Genetics, Oxford University, Oxford, United Kingdom

2010.01-2014.09    Research Associate, Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom

2014.10-                 Professor, School of Medical Imaging, Tianjin Medical University, Tianjin, China


Thousand Talents Plan of Tianjin (Youth Project), 2014


Professional Service


Invited lectures



Publication (#First author; *Corresponding author)

Peng Y, Liu J, Hua M, Liang M*, Yu CS*. Enhanced Effective Connectivity From Ipsilesional to Contralesional M1 in Well Recovered Subcortical Stroke Patients. Frontiers in Neurology. 2019. 10:909.

Liang M#*, Su Q#, Mouraux A, Iannetti GD*. Spatial Patterns of Brain Activity Preferentially Reflecting Transient Pain and Stimulus Intensity. Cereb Cortex. 2019. 29:2211–2227.

Su Q, Qin W, Yang QQ, Yu CS, Qian TY, Mouraux A, Iannetti GD, Liang M*. Brain regions preferentially responding to transient and iso-intense painful or tactile stimuli. Neuroimage. 2019. 192: 52-65.

Zhang J, Li X, Jin Z, Liang M*, Ma X*. Spontaneous brain activity and connectivity in female patients with temporomandibular joint synovitis pain: a pilot functional magnetic resonance imaging study. Oral Surg Oral Med Oral Pathol Oral Radiol. 2018. 126(4): 363-374.

Liu H#, Yu H#, Li Y, Qin W, Xu L, Yu C*, Liang M*. An energy-efficient intrinsic functional organization of human working memory: A resting-state functional connectivity study. Behav Brain Res. 2017. 316:66-73.

Liang M#*, Lee MC#, O'Neill J, Dickenson AH, Iannetti GD. Brain potentials evoked by intraepidermal electrical stimuli reflect the central sensitization of nociceptive pathways. Journal of Neurophysiology. 2016. 116(2):286-95.

Salomons TV#, Iannetti GD#, Liang M#, Wood JN#*. The Pain Matrix in Pain-Free Individuals. JAMA Neurology. 2016. 73(6):755-6.

Liang M#*, Mouraux A, Hu L, Iannetti GD. Primary sensory cortices contain distinguishable spatial patterns of activity for each sense. Nature Communications. 2013. 4:1979-1988.

Liang M#, Mouraux A, Iannetti GD*. Bypassing primary sensory cortices--a direct thalamocortical pathway for transmitting salient sensory information. Cerebral Cortex. 2013. 23(1):1-11.

Torta DM#, Liang M#, Valentini E, Mouraux A, Iannetti GD*. Dishabituation of laser-evoked EEG responses: dissecting the effect of certain and uncertain changes in stimulus spatial location. Experimental Brain Research. 2012. 218(3):361-372.

Liang M#, Mouraux A, Iannetti GD*. Parallel processing of nociceptive and non-nociceptive somatosensory information in the human primary and secondary somatosensory cortices: evidence from dynamic causal modeling of functional magnetic resonance imaging data. Journal of Neuroscience. 2011. 31(24):8976-8985.

Liang M#, Mouraux A, Chan V, Blakemore C, Iannetti GD*. Functional characterisation of sensory ERPs using probabilistic ICA: Effect of stimulus modality and stimulus location. Clinical Neurophysiology. 2010. 121(4):577-587.

Liang M#*, van Leeuwen TM#*, Proulx MJ. Propagation of brain activity during audiovisual integration. Journal of Neuroscience. 2008. 28(36):8861-8862.

Zhou Y#, Liang M#, Tian LX, Wang K, Hao YH, Liu HH, Liu ZN*, Jiang TZ*. Functional disintegration in paranoid schizophrenia using resting-state fMRI. Schizophrenia Research. 2007. 97(1-3):194-205.

Liang M#, Zhou Y, Jiang TZ*, Liu ZN, Tian LX, Liu HH, Hao YH. Widespread functional disconnectivity in schizophrenia with resting-state functional magnetic resonance imaging. Neuroreport. 2006. 17(2):209-213.




1. National Natural Science Foundation, Project: “The investigation of brain mechanisms, objective evaluation and treatment outcome prediction of chronic low back pain based on artificial intelligence and multimodal MRI techniques”, 2020.01-2023.12, Leading PI

2. State's Key Project of R&D Plan (Precision Medicine)Sub-Project: “Study of multimodal brain imaging characteristics, diagnosis and treatment standards of schizophrenia and bipolar disoders” (in Project: “Study of multimodal precision diagnosis and treatment scheme for schizophrenia and bipolar disorders”), 2017.07-2019.12, Leading PI

3. National Natural Science Foundation, Project: “Multimodal functional neuroimaging study of pain-specific neural coding mechanisms in human brain”, 2016.01-2019.12, Leading PI


Natural Science Foundation of Tianjin, “Methodology of brain functional imaging and its application in neurological and psychiatric disorders”, 2015-2018, Leading PI