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DBSModel SIGNED

Multiscale Modelling of the Neuromuscular System for Closed Loop Deep Brain Stimulation

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

DBSModel project word cloud

Explore the words cloud of the DBSModel project. It provides you a very rough idea of what is the project "DBSModel" about.

model clinically individual monitoring utilise extend signals significantly efficacy neural closed modulate scales place spatial overcome neurons exerts reducing validate multiscale pd accommodate operates behavior stimulation treating though dbs mechanisms nature influence incomplete electrode questions empirically force insights variables life outcomes ready integration limit continuous loop symptoms energy parkinson networks electric simulate experiments temporal involve muscle brain generation patient encompassing deep despite multiple stimulus battery sensing therapy neuromuscular strategy nonlinear symptom patients implanted therapeutic disease biomarkers population electrical effect previously adjusts fundamentally limitations

Project "DBSModel" data sheet

The following table provides information about the project.

Coordinator	UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN Organization address address: BELFIELD city: DUBLIN postcode: 4 website: www.ucd.ie contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Ireland [IE]
Project website	https://www.neuromuscularsystemsucd.info/dbs-model
Total cost	1˙999˙474 €
EC max contribution	1˙999˙474 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2014-CoG
Funding Scheme	ERC-COG
Starting year	2015
Duration (year-month-day)	from 2015-08-01 to 2021-07-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN Organization address address: BELFIELD city: DUBLIN postcode: 4 website: www.ucd.ie contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	IE (DUBLIN)	coordinator	1˙999˙474.00

Map

Project objective

Deep brain stimulation (DBS) is an effective therapy for treating the symptoms of Parkinson’s disease (PD). Despite its success, the mechanisms of DBS are not understood and there is a need to improve DBS to improve long-term stimulation in a wider patient population, limit side-effects, and extend battery life. Currently DBS operates in ‘open-loop’, with stimulus parameters empirically set. Closed-loop DBS, which adjusts parameters based on the state of the system, has the potential to overcome current limitations to increase therapeutic efficacy while reducing side-effects, costs and energy. Several key questions need to be addressed before closed loop DBS can be implemented clinically. This research will develop a new multiscale model of the neuromuscular system for closed-loop DBS. The model will simulate neural sensing and stimulation on a scale not previously considered, encompassing the electric field around the electrode, the effect on individual neurons and neural networks, and generation of muscle force. This will involve integration across multiple temporal and spatial scales, in a complex system with incomplete knowledge of system variables. Experiments will be conducted to validate the model, and identify new biomarkers of neural activity that can used with signals from the brain to enable continuous symptom monitoring. The model will be used to design a new control strategy for closed-loop DBS that can accommodate the nonlinear nature of the system, and short- and long-term changes in system behavior. Though challenging, this research will provide new insights into the changes that take place in PD and the mechanisms by which DBS exerts its therapeutic influence. This knowledge will be used to design a new strategy for closed-loop DBS, ready for testing in patients, with the potential to significantly improve patient outcomes in PD and fundamentally change the way in which implanted devices utilise electrical stimulation to modulate neural activity.

Publications

List of publications.
year	authors and title	journal	last update
2020	John E. Fleming, Eleanor Dunn, Madeleine M. Lowery Simulation of Closed-Loop Deep Brain Stimulation Control Schemes for Suppression of Pathological Beta Oscillations in Parkinsonâ€™s Disease published pages: , ISSN: 1662-453X, DOI: 10.3389/fnins.2020.00166	Frontiers in Neuroscience 14	2020-04-01
2019	Kevin J. Krieger, Nicky Bertollo, Manita Dangol, John T. Sheridan, Madeleine M. Lowery, Eoin D. Oâ€™Cearbhaill Simple and customizable method for fabrication of high-aspect ratio microneedle molds using low-cost 3D printing published pages: , ISSN: 2055-7434, DOI: 10.1038/s41378-019-0088-8	Microsystems & Nanoengineering 5/1	2020-04-01
2019	Peadar F. Grant, Madeleine M. Lowery Simplified parametric models of the dielectric properties of brain and muscle tissue during electrical stimulation published pages: 61-67, ISSN: 1350-4533, DOI: 10.1016/j.medengphy.2018.12.018	Medical Engineering & Physics 65	2020-04-01
2019	Manuela Besomi, Paul W. Hodges, Jaap Van DieÃ«n, Richard G. Carson, Edward A. Clancy, Catherine Disselhorst-Klug, AleÅ¡ Holobar, FranÃ§ois Hug, Matthew C. Kiernan, Madeleine Lowery, Kevin McGill, Roberto Merletti, Eric Perreault, Karen SÃ¸gaard, Kylie Tucker, Thor Besier, Roger Enoka, Deborah Falla, Dario Farina, Simon Gandevia, John C. Rothwell, Bill Vicenzino, Tim Wrigley Consensus for experimental design in electromyography (CEDE) project: Electrode selection matrix published pages: 128-144, ISSN: 1050-6411, DOI: 10.1016/j.jelekin.2019.07.008	Journal of Electromyography and Kinesiology 48	2020-04-01
2019	Matthew W. Flood, Bente Rona Jensen, Anne-Sofie Malling, Madeleine M. Lowery Increased EMG intermuscular coherence and reduced signal complexity in Parkinsonâ€™s disease published pages: 259-269, ISSN: 1388-2457, DOI: 10.1016/j.clinph.2018.10.023	Clinical Neurophysiology 130/2	2020-02-13
2019	Emer P. Doheny, Cathy Goulding, Matthew W. Flood, Lara McManus, Madeleine M. Lowery Feature-based evaluation of a wearable surface EMG sensor against laboratory standard EMG during force-varying and fatiguing contractions. published pages: 1-1, ISSN: 1530-437X, DOI: 10.1109/jsen.2019.2953354	IEEE Sensors Journal	2020-02-13
2019	Lucas A. Koelman, Madeleine M. Lowery Beta-Band Resonance and Intrinsic Oscillations in a Biophysically Detailed Model of the Subthalamic Nucleus-Globus Pallidus Network published pages: , ISSN: 1662-5188, DOI: 10.3389/fncom.2019.00077	Frontiers in Computational Neuroscience 13	2020-02-13
2019	Matthew William Flood, Ben O\'Callaghan, Madeleine Lowery Gait Event Detection from Accelerometry using the Teager-Kaiser Energy Operator published pages: 1-1, ISSN: 0018-9294, DOI: 10.1109/tbme.2019.2919394	IEEE Transactions on Biomedical Engineering	2019-09-13
2016	M. M. Lowery Electromyography Modeling and Simulation published pages: 210-246, ISSN: , DOI: 10.1002/9781119082934.ch08	Surface Electromyography: Physiology, Engineering and Applications	2019-09-04
2017	Lara McManus, Xiaogang Hu, William Z. Rymer, Nina L. Suresh, Madeleine M. Lowery Motor Unit Activity during Fatiguing Isometric Muscle Contraction in Hemispheric Stroke Survivors published pages: , ISSN: 1662-5161, DOI: 10.3389/fnhum.2017.00569	Frontiers in Human Neuroscience 11	2019-09-04
2016	Lara McManus, Xiaogang Hu, William Z. Rymer, Nina L. Suresh, Madeleine M. Lowery Muscle fatigue increases beta-band coherence between the firing times of simultaneously active motor units in the first dorsal interosseous muscle published pages: 2830-2839, ISSN: 0022-3077, DOI: 10.1152/jn.00097.2016	Journal of Neurophysiology 115/6	2019-09-04
2018	Christian Schmidt, Eleanor Dunn, Madeleine Lowery, Ursula van Rienen Uncertainty Quantification of Oscillation Suppression During DBS in a Coupled Finite Element and Network Model published pages: 281-290, ISSN: 1534-4320, DOI: 10.1109/TNSRE.2016.2608925	IEEE Transactions on Neural Systems and Rehabilitation Engineering 26/2	2019-09-04
2018	Sproll, T; Schiela, A; Lowery, M. Numerical Identification of Motor Units using an Optimal Control Approach published pages: , ISSN: , DOI:	9th Vienna International Conference on Mathematical Modelling, (MATHMOD 2018)	2019-09-04
2017	Madeleine M. Lowery Modeling Deep Brain Stimulation for Parkinson\'s Disease published pages: 109-123, ISSN: , DOI: 10.1002/9781119159193.ch9	Computational Models of Brain and Behavior, 1	2019-09-04
2017	A. Kelly, L. Ballerini, M. Lowery, M. Biggs Engineering the Neural Interface published pages: 642-660, ISSN: , DOI: 10.1016/B978-0-12-803581-8.09322-X	Comprehensive Biomaterials II	2019-09-04
2016	Davidson CM, de Paor AM, Cagnan H, Lowery MM. Analysis of Oscillatory Neural Activity in Series Network Models of Parkinson\'s Disease During Deep Brain Stimulation published pages: 86-96, ISSN: 0018-9294, DOI: 10.1109/TBME.2015.2475166	IEEE Transactions on Biomedical Engineering	2019-09-04
2019	Lara McManus, Matthew W. Flood, Madeleine M. Lowery Beta-band motor unit coherence and nonlinear surface EMG features of the first dorsal interosseous muscle vary with force published pages: 1147-1162, ISSN: 0022-3077, DOI: 10.1152/jn.00228.2019	Journal of Neurophysiology 122/3	2019-09-13

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