DBSModel SIGNED
Multiscale Modelling of the Neuromuscular System for Closed Loop Deep Brain Stimulation
Total Cost €
0EC-Contrib. €
0Partnership
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Project "DBSModel" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Organization address contact info |
| 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.
| # | ||||
|---|---|---|---|---|
| 1 | UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN | IE (DUBLIN) | coordinator | 1˙999˙474.00 |
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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
| 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 Parkinson’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. O’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 Dieën, Richard G. Carson, Edward A. Clancy, Catherine Disselhorst-Klug, Aleš Holobar, François Hug, Matthew C. Kiernan, Madeleine Lowery, Kevin McGill, Roberto Merletti, Eric Perreault, Karen Søgaard, 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 Parkinson’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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