Resources

Generally, code released by the lab will be available on the lab Github. However, some older code my be located in other databases. See below for a breakdown.

Software tools

1. Matlab pipeline to extract cortical morphology measures from Freesurfer for cortical folding analysis. https://github.com/cnnp-lab/CorticalFoldingAnalysisTools

Please cite the Zenodo entry if you use it for your publications.

This is related to the following papers:

Wang, Y., Necus, J., Kaiser, M. and Mota, B., 2016. Universality in human cortical folding in health and disease. Proceedings of the National Academy of Sciences, 113(45), pp.12820-12825.

Wang, Y., Necus, J.H., Peraza-Rodriguez, L., Taylor, P.N., Mota, B., 2019, Universality in human cortical folding across lobes of individual brains. Communications Biology, 2:191


Source code

1. Source code to reproduce figures in the following paper :

Taylor, P. N., & Baier, G. (2011). A spatially extended model for macroscopic spike-wave discharges. Journal of Computational Neuroscience.

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2. Source code to reproduce figures in the following paper:

Taylor, P. N., Wang, Y., Goodfellow, M., Dauwels, J., Moeller, F., Stephani, U., & Baier, G. (2014). A computational study of stimulus driven epileptic seizure abatement. PloS One, 9(12), e114316.

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3. Source code to reproduce figures in the following paper:

Wang, Y., Goodfellow, M., Taylor, P. N., & Baier, G. (2014). Dynamic Mechanisms of Neocortical Focal Seizure Onset. PLoS Computational Biology, 10(8), e1003787.

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4. Source code to reproduce figures in the following paper:

Wang, Y., Trevelyan, A.T., Valentin, A., Alarcon, G., Taylor, P.N., Kaiser, M. (2017). Mechanisms underlying different onset patterns of focal seizures, PLoS Computational Biology e1005475

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5. Source code to reproduce figures in the following paper:

França, L.G.S., Miranda, J.G.V., Leite, M., Sharma, N.K., Walker, M.C., Lemieux, L. and Wang, Y. (2018). Fractal and Multifractal Properties of Electrographic Recordings of Human Brain Activity: Toward Its Use as a Signal Feature for Machine Learning in Clinical Applications. Frontiers in physiology, 9.

Here is also the Chhabra-Jensen estimator in Matlab.

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6. Source code to reproduce figures in the following paper:

Wang, Y., Necus, J., Peraza-Rodriguez, L., Taylor, P.N., Mota, B. (2019). Universality in human cortical folding across lobes of individual brains. Communications Biology, 2:191

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7. Source code to reproduce figures in the following preprint:

Schroeder, G.M., Diehl, B., Chowdhury, F.A., Duncan, J.S., de Tisi, J., Trevelyan, A.J., Forsyth, R., Jackson, A. Taylor, P.N., Wang, Y. (2019). Slow changes in seizure pathways in individual patients with focal epilepsy.

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8. Source code to reproduce figures in the following paper:

Wang, Y., Sinha, N., Schroeder, G.M., Ramaraju, S., McEvoy, A.W., Miserocchi, A., de Tisi, J., Chowdhury, F.A., Diehl, B., Duncan, J.S., Taylor P.N., 2020, Interictal intracranial EEG for predicting surgical success: the importance of space and time. Epilepsia

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9. Source code to reproduce figures in the following paper:

Taylor, P.N., Moreira da Silva, N., Blamire, A., Wang, Y.*, Forsyth, R.*, 2020, Early deviation from normal structural connectivity: a novel intrinsic severity score for mild TBI. Neurology, 94(10)

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10. Source code to reproduce figures in the following paper:

Owen, T.W., de Tisi, J., Vos, S.B., Winston, G.P., Duncan, J.S., Wang, Y., Taylor, P.N., 2020, Multivariate white matter alterations are associated with epilepsy duration. European Journal of Neuroscience

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11. Source code to reproduce figures in the following paper:


Panagiotopoulou, M., Papasavvas, C.A., Schroeder, G.M., Thomas, R.H., Taylor, P.N., Wang, Y., 2022. Fluctuations in EEG band power at subject-specific timescales over minutes to days explain changes in seizure evolutions. Human Brain Mapping



Data

1. Data to reproduce figures in the following paper:

Wang, Y., Necus, J., Kaiser, M. and Mota, B. (2016). Universality in human cortical folding in health and disease. Proceedings of the National Academy of Sciences, 113(45), pp.12820-12825.

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2. Data to reproduce the results in the following paper:

Sinha, N., Wang, Y., Dauwels, J., Kaiser, M., Thesen, T., Forsyth, R., Taylor, P.N., (2019), Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy. NeuroImage: Clinical 21:101655.

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3. Data to reproduce figures in the following paper:

Wang, Y., Necus, J., Peraza-Rodriguez, L., Taylor, P.N., Mota, B. (2019). Universality in human cortical folding across lobes of individual brains. Communications Biology, 2:191

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4. Data to reproduce figures in the following preprint:

Schroeder, G.M., Diehl, B., Chowdhury, F.A., Duncan, J.S., de Tisi, J., Trevelyan, A.J., Forsyth, R., Jackson, A. Taylor, P.N., Wang, Y. (2019). Slow changes in seizure pathways in individual patients with focal epilepsy.

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5. Data to reproduce figures in the following paper:

Wang, Y., Sinha, N., Schroeder, G.M., Ramaraju, S., McEvoy, A.W., Miserocchi, A., de Tisi, J., Chowdhury, F.A., Diehl, B., Duncan, J.S., Taylor P.N., 2020, Interictal intracranial EEG for predicting surgical success: the importance of space and time. Epilepsia