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DBSModel SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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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
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 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
List of publications.
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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