Imperial College London

Dr Peter Hellyer

Faculty of EngineeringDepartment of Bioengineering

Research Fellow
 
 
 
//

Contact

 

+44 (0)20 7594 9568peter.hellyer

 
 
//

Location

 

4.35Royal School of MinesSouth Kensington Campus

//

Summary

 

Summary

Peter Hellyer is a Sir Henry Wellcome Postdoctoral Fellow based in the Dept. Bioengineering. .

Peter's research uses a combination of structural and functional magnetic resonance imaging (fMRI and DTI) to study the relationship between the dynamic functional activity of the brain, neural structure and cognition. Using tractography based on Diffusion Tensor Imaging to map the strucutral connectivity of the healthy brain, he uses novel computational modeling constrained by the white matter structure of the brain combined with Machine Learning (MVPA) and data compression approaches such as Independent Component Analysis (ICA), to decompose and predict the dynamical properties the human brain.

White Matter Network

Mapping White Matter Connectivity of the Brain

In particular, Peter is interested in the interaction between white matter disconnection, global measures of neural dynamics, and cognitive outcome following traumatic brain injury (TBI).

Peter studied for his PhD under the supervision of Dr. Robert LeechProf. Richard Wise and Prof. David Sharp at Imperial College London. In addition, Peter has a BSc. (Hons) in Neuroscience from Kings College London and an MRes in Experimental Neuroscience from Imperial College London

Beyond Neuroscience, Peter is also interested in the development and application of High Performance Computing (HPC) for research and is responsible for provision and support of C3NL HPC services.

Selected Publications

Journal Articles

Hellyer PJ, Scott G, Shanahan M, et al., 2015, Cognitive Flexibility through Metastable Neural Dynamics Is Disrupted by Damage to the Structural Connectome, Journal of Neuroscience, Vol:35, ISSN:0270-6474, Pages:9050-9063

Hellyer PJ, Shanahan M, Scott G, et al., 2014, The Control of Global Brain Dynamics: Opposing Actions of Frontoparietal Control and Default Mode Networks on Attention, Journal of Neuroscience, Vol:34, ISSN:0270-6474, Pages:451-461

More Publications