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The Computational Brain Modelling group develop mathematical and computational models of cerebral physiology, with a particular focus on oxygen metabolism and blood flow. These models are able to integrate and simulate measurements from near-infrared spectroscopy () and magnetic resonance spectroscopy (MRS), and assist with data interpretation in both experimental and clinical contexts.

We are using the models to investigate the effect of physiological insults such as anoxia, hypoxia and ischaemia. By comparing model predictions with measured data, we can obtain a better understanding of the metabolic changes that occur in the brain during and in the aftermath of these insults.

Models

A number of related but distinct models have been developed to address different situations of physiological and clinical interest.

A model of oxygenation, circulation and metabolism in the adult human brain. First published in 2005, this is the most complex and detailed of our models.

A simplified version of BrainCirc, adapted to model changes in the oxidation state of cytochrome-c-oxidase (CCO), a metabolic marker measurable via NIRS.

A further extension of the BrainSignals model, incorporating MRS-measured variables such as ATP, PCr, Pi and lactate. The model is tailored to the study of hypoxia-ischaemia in piglets, an important model organism for human neonates in clinical experiments.

Software

The custom modelling programs used to implement our models are fully open source. More information and download links can be found on our Ìý±è²¹²µ±ð.

Publications

Caldwell, M., Hapuarachchi, T., Highton, D., Elwell, C., Smith, M., Tachtsidis, I. (2015). . PLoS ONE, 10(5), e0126695.

Moroz, T., Hapuarachchi, T., Bainbridge, A., Price, D., Cady, E. B., Baer, E., et al. (2013). . Advances in Experimental Medicine and Biology, 789, 339–344.

Hapuarachchi, T., Moroz, T., Bainbridge, A., Price, D., Cady, E. B., Baer, E., et al. (2013). . Advances in Experimental Medicine and Biology, 789, 331–337.

Moroz, T., Banaji, M., Tisdall, M. M., Cooper, C. E., Elwell, C. E., & Tachtsidis, I. (2012). . Advances in Experimental Medicine and Biology, 737, 293–300.

Jelfs, B., Banaji, M., Tachtsidis, I., Cooper, C. E., & Elwell, C. E. (2012). . PLoS ONE, 7(6), e38297.

Moroz, T., Banaji, M., Robertson, N. J., Cooper, C. E., & Tachtsidis, I. (2012). . Journal of the Royal Society Interface, 9(72), 1499–1509.

Banaji, M., Mallet, A., Elwell, C. E., Nicholls, P., & Cooper, C. E. (2008). . PLoS Computational Biology, 4(11), e1000212.

Banaji, M., Tachtsidis, I., Delpy, D., & Baigent, S. (2005). . Mathematical Biosciences, 194(2), 125–173. doi:10.1016/j.mbs.2004.10.005