High-Dimensional Neurology

High Dimensional Neurology

advancedamp2018v1.3.pdf

 

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).

2020

Tso AR, Brudfors M, Danno D, Grangeon L, Cheema S, Matharu M, Nachev P
Machine phenotyping of cluster headache and its response to verapamil
Brain, 23 November 2020,
https://doi.org/10.1093/brain/awaa388

Marian Galovic, Jane de Tisi, Andrew W McEvoy, Anna Miserocchi, Sjoerd B Vos, Giuseppe Borzi, Juana Cueva Rosillo, Khue Anh Vuong, Parashkev Nachev, John S Duncan, Matthias J Koepp
Resective surgery prevents progressive cortical thinning in temporal lobe epilepsy
Brain 12 Nov 2020
https://doi.org/10.1093/brain/awaa284

Li Y, Wang T, Zhang T, Lin Z, Li Y, Guo R, Zhao Y, Meng Z, Liu J, Yu X, Liang Z-P, Nachev P
Fast high-resolution metabolic imaging of acute stroke with 3D magnetic resonance spectroscopy
Brain 03 Nov 2020
https://doi.org/10.1093/brain/awaa264

Thiebaut de Schotten M, Foulon C, Nachev P
Brain disconnections link structural connectivity with function and behaviour
Nature Communications 11(1):5094 09 Oct 2020
https://doi.org/10.1038/s41467-020-18920-9

Ruffle JK, Tinkler L, Emmett C, Ford AC, Nachev P, Aziz Q, Farmer AD, Yiannakou Y
Constipation Predominant Irritable Bowel Syndrome and Functional Constipation Are Not Discrete Disorders: A Machine Learning Approach.
Am J Gastroenterol 31 Aug 2020
doi: 10.14309/ajg.0000000000000816

Jha A, Nachev P
Neurodevelopmental Disorders: Sensing Tourette's Tics Away.
Curr Biol 30(12):R698-R700 22 Jul 2020
https://doi.org/10.1016/j.cub.2020.04.079

Guasch L, Calderon Agudo O, Tang M-X, Nachev P, Warner M.  Full-waveform inversion imaging of the human brain.  NPJ Digit Med 3:28, March 2020.

Jha A, Nachev P.  Neurodevelopmental disorders:  Sensing Tourette's tics away.  Curr Biol 30(12):R698-R700 22 Jul 2020.

Jha A, Teotonio R, Smith A-L, Bomanji J, Dickson J, Diehl B, Duncan JS, Nachev P.  Metabolic lesion-deficit mapping of human cognition.  Brain 143(3):877-890 23 Mar 2020.
 
Mah YH, Nachev P, MacKinnon AD. Quantifying the impact of chronic ischemic injury on clinical outcomes in acute stroke with machine learning. Frontiers in Neurology 2020;11.

Wilson J, Herron D, Nachev P, McNally N, Williams B, Rees G.   The value of data:  applying a public value model to the English National Health Service.  Journal of Medical Internet Research 22(3):e15816, 27th March 2020

2019

Nachev P, Herron D, McNally N, Rees G, Williams B. Redefining the research hospital. Npj Digital Medicine 2019; 2(1):119.

2018

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  

2017

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.

2016

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.

2015

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

2014

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.