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UCL Queen Square Institute of Neurology

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High-Dimensional Neurology

High-dimensional neurology
 

Glyph visualisation of vasculature-induced spatial biases in lesion-deficit mapping based on stroke lesions*

Creating individually predictive models of clinical outcome from high-dimensional analysis of large-scale clinical datasets.

Lead:

Dr Parashkev Nachev

Research Team:

Research Goals

  • To apply to neurological research innovative inferential approaches that do not assume that causal relations in biology are sufficiently stereotyped across individuals to be adequately characterised by conventional methods.
  • To use large-scale, high-dimensional analysis of rich clinical datasets to identify non-intuitive patterns within the data that are individually clinically predictive and illuminative of the highly complex casual mechanisms we believe are likely to obtain in reality.

Funded Research Projects

  • Automatic anomaly detection for brain imaging triage and classification (Wellcome Trust/DoH Health Innovation Challenge Fund).
Recent publications from High-Dimensional Neurology

Diehl B, Trevisi G, Eickhoff S, Chowdhury F, Jha A, Rodionov R, Nowell M, Miserocchi A, McEvoy A, Nachev P. Probabilistic electrical stimulation mapping of human medial frontal cortex. Cortex 2018, in press UCL Discovery

Moriconi S, Zuluaga MA, Jager HR, Nachev P, Ourselin S, Cardoso MJ. Inference of cerebrovascular topology with geodesic minimum spanning trees. IEEE Transactions on Medical Imaging, 2018, in press UCL Discovery

Nachev P, Rees G, Frackowiak R. Lost in translation. F1000Res 2018; 7:620-621 UCL Discovery

Gibson E, Li W, Sudre C, Fidon L, Shakir DI, Wang G, Eaton-Rosen Z, Gray R, Doel T, Hu Y et al. NiftyNet: a deep-learning platform for medical imaging. Computer Methods and Programs in Biomedicine 2018; 158:113-122 UCL Discovery

Xu, T., Rolf Jäger, H., Husain, M., Rees, G., & Nachev, P. (2017). High-dimensional therapeutic inference in the focally damaged human brain. Brain : a journal of neurology. doi:10.1093/brain/awx288

 Xu, T., Jha, A., & Nachev, P. (2017). The dimensionalities of lesion-deficit mapping. Neuropsychologia. doi:10.1016/j.neuropsychologia.2017.09.007

Nachev P, Rose GE, Verity DH, Manohar SG, MacKenzie K, Adams G, Theodorou M, Pankhurst QA, Kennard C. Magnetic oculomotor prosthetics for acquired nystagmus. Opthalmology, Online 23 June 2017 doi: 10.1016/j.ophtha.2017.05.028. Epub 2017 Jun 23.

Dyke K, Pépés SE, Chen C, Kim S, Sigurdsson HP, Draper A, Husain M, Nachev P, Gowland PA, Morris PG et al. Comparing GABA-dependent physiological measures of inhibition with proton magnetic resonance spectroscopy measurement of GABA using ultra-high-field MRI. NeuroImage 2017; 152:360-370 doi: 10.1016/j.neuroimage.2017.03.011. Epub 2017 Mar 9.

Jha A, Diehl B, Scott C, McEvoy AW, Nachev P. Reversed Procrastination by Focal Disruption of Medial Frontal Cortex. Current Biology 2016; 26(21):2893-2898 doi: 10.1016/j.cub.2016.08.016. Epub 2016 Oct 20.

Nachev, P., Lopez-Sosa, F., Gonzalez-Rosa, J.J., Galarza, A., Avecillas, J, Pineda-Pardo, J.A., Lopez-Ibor, J.J., Reneses, B., Antonio Barcia, J., Strange, B (2015). Dynamic risk control by human nucleus accumbens. Brain, Dec;138(Pt 12):3496-502. doi: 10.1093/brain/awv285. Epub 2015 Oct 1.

Robert, M. P., Bonci, F., Pandit, A., Ferguson, V., & Nachev, P. (2015). The scotogenic contact lens: a novel device for treating binocular diplopia. British Journal of Ophthalmology, 99(8), 1022-1024. doi:10.1136/bjophthalmol-2014-305985

Mah, Y. H., Husain, M., Rees, G., & Nachev, P. (2014). Human brain lesion-deficit inference remapped. Brain. doi:10.1093/brain/awu164 Epub 2014 Jun 28.

 

Further information

* Image reproduced with permission of Dr Parashkev Nachev.