Principal Investigator

Prof John Suckling is Director of Research in Psychiatric Neuroimaging in the Department of Psychiatry. A physicist with over 30 years’ experience in medical imaging, he applies neuroimaging and biostatistics to investigate diverse neurodevelopmental and psychopathological conditions and their treatment through neuroscience, experimental medicine, and large-scale multi-centre clinical trials.

Prof Suckling also has a strong interest in research ethics and is the Chair of the Psychology Research Ethics Committee, and the University Research Ethics Committee that oversees University policy for research that involves human participants and personal data.

Together with colleagues from School of Arts and Humanities and School of Technology he is leading a new interdisciplinary Centre for Human Inspired Artificial Intelligence (CHIA) with the goal of advancing Artificial Intelligence for the benefit of humanity.




Research Interest

-Psychiatric Neuroimaging
-Psychology Research Ethics
-Computational modelling
-Computerised tomography
-Cross-sectional and cohort studies
-Electroencephalography (EEG)
-Magnetic resonance imaging (MRI)
-Positron Emission Tomography (PET)

Key Publications

Google Scholar Link

Romero-Garcia R, Erez Y, Oliver G, Owen M, Merali S, Poologaindran A, Morris RC, Price SJ, Santarius T, Suckling J, Hart MG (2020). Practical application of networks in neurosurgery: combined 3D printing, neuronavigation and pre-operative surgical planning. World Neurosurg. S1878-8750(20)30103-0.

Hart MG, Romero-Garcia R, Price SJ, Suckling J (2018). Global Effects of Focal Brain Tumors on Functional Complexity and Network Robustness: A Prospective Cohort Study. Neurosurgery 84: 1201-1213

Hart MG, Price SJ, Suckling J (2016). Connectome analysis for pre-operative brain mapping in neurosurgery. Br J Neurosurg. 30: 506-517.