Imperial College London
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DrPaulExpert

Faculty of Medicine, School of Public Health

Honorary Research Associate
 
 
 
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Contact

 

paul.expert08

 
 
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Location

 

Reynolds BuildingCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@article{Asllani:2018:10.1371/journal.pcbi.1006296,
author = {Asllani, M and Expert, P and Carletti, T},
doi = {10.1371/journal.pcbi.1006296},
journal = {PLoS Computational Biology},
title = {A minimally invasive neurostimulation method for controlling abnormal synchronisation in the neuronal activity},
url = {http://dx.doi.org/10.1371/journal.pcbi.1006296},
volume = {14},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Many collective phenomena in Nature emerge from the -partial- synchronisation of the units comprising a system. In the case of the brain, this self-organised process allows groups of neurons to fire in highly intricate partially synchronised patterns and eventually lead to high level cognitive outputs and control over the human body. However, when the synchronisation patterns are altered and hypersynchronisation occurs, undesirable effects can occur. This is particularly striking and well documented in the case of epileptic seizures and tremors in neurodegenerative diseases such as Parkinson’s disease. In this paper, we propose an innovative, minimally invasive, control method that can effectively desynchronise misfiring brain regions and thus mitigate and even eliminate the symptoms of the diseases. The control strategy, grounded in the Hamiltonian control theory, is applied to ensembles of neurons modelled via the Kuramoto or the Stuart-Landau models and allows for heterogeneous coupling among the interacting unities. The theory has been complemented with dedicated numerical simulations performed using the small-world Newman-Watts network and the random Erds-Rényi network. Finally the method has been compared with the gold-standard Proportional-Differential Feedback control technique. Our method is shown to achieve equivalent levels of desynchronisation using lesser control strength and/or fewer controllers, being thus minimally invasive.
AU  - Asllani,M
AU  - Expert,P
AU  - Carletti,T
DO  - 10.1371/journal.pcbi.1006296
PY  - 2018///
SN  - 1553-734X
TI  - A minimally invasive neurostimulation method for controlling abnormal synchronisation in the neuronal activity
T2  - PLoS Computational Biology
UR  - http://dx.doi.org/10.1371/journal.pcbi.1006296
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000440483300021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/62694
VL  - 14
ER  -
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