NEUROMUSCULAR SYSTEMS TEAM
The neuromuscular systems lab consists of research staff and students who bring a diverse and complementary range of skills and expertise to addressing our research questions. We are mainly based in the School of Electrical & Electronic Engineering in University College Dublin (UCD), but some members work also in the Insight centre in Science in UCD, the School of Medicine in UCD, the Royal Hospital, Donnybrook (also in Dublin), and the Cúram centre in the National University of Ireland, Galway. The team leader is Professor Madeleine Lowery.
Congratulations to Matt Flood on obtaining a Fulbright award!
UCD Fulbright awardees 2017
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Professor & Principal Investigator
Dr Emer Doheny
Senior Research Fellow
Emer is a senior research fellow with the Neuromuscular Systems Research group, and the Insight Centre for Data Analytics. Emer's research investigates human movement, sleep and respiration in healthy and pathological cohorts, by applying signal processing techniques to biosensor data. Applications of her research range from remote patient monitoring to sports performance analysis.
Dr Lara McManus
Lara worked as a post-doctoral fellow in the lab currently works for the Neural Signal Analysis Group in the Academic Unit of Neurology in the School of Medicine at Trinity College Dublin and collaborates with Neuromuscular Systems Research Group at UCD.
Lara’s research focuses on studying how the nervous system adapts to regulate movement in conditions where normal motor control is disrupted, such as during muscular fatigue and in pathological conditions (i.e. post-stroke, in motor neurone disease and in Parkinson’s disease). She uses EMG (both traditional surface EMG and high-density electrode arrays) to obtain information on changes in motor unit firing behaviour during these conditions, which provide insights into corresponding alterations in the neural inputs to the motoneuron population.
Dr Judith Evers
Judith studies deep brain stimulation for Parkinson's Disease in rodents. Her work focuses on changes in the electrode-tissue interface of stimulation electrodes which affects efficacy and the implementation of close-loop stimulation, where the applied stimulation adapts to current symptom severity.
Dr. AmirAli Farokhniaee
AmirAli has a solid background in physics. He applies methods in theoretical/computational neuroscience to gain a better understanding of basic mechanisms of deep brain stimulation. His current research includes cortical network effects of DBS, analysis and simulation of the complex interactions within motor cortex in normal and Parkinsonian states and quantification of information flow within the corresponding neural networks. AmirAli served as a post-doctoral fellow in the lab (2018-20) and currently, he is working in collaboration with Newronika S.P.A., Milan, Italy, in a project funded by Science Foundation Ireland Industry Fellowship Programme.
Dr. Rui Wiu
Rui is a post-doctoral fellow with the neuromuscular systems research group and the school of public health, physiotherapy and sports sciences. Currently, her work focuses on the application of high-density surface EMG to the assessment of neuromuscular function in different populations.
Jérémy's work involves using his biomedical and electrical engineering backgrounds to provide assistance to the other researchers and PhD students of the group in experimental design, data recording and analysis and image processing and segmentation.
John’s research focuses on developing closed-loop control strategies for deep brain stimulation during Parkinson’s disease. The aim of his research is to develop novel methods for suppressing pathological disease symptoms, whilst also preventing any side-effects which may be caused due to the stimulation. To test his approaches, John has developed a computational model of the central and peripheral nervous system during deep brain stimulation and Parkinson’s disease, with the model acting as a surrogate testbed for initially validating his control approaches before they are further explored in clinical studies with patients.
Sageanne develops and simulates computational models describing skeletal muscle contraction in order to examine the mechanisms of peripheral fatigue and mitochondrial dysfunction. She has also developed a computational model of the dual communication between the cortex and motor units in the first dorsal interosseous, using proportional-integral control to investigate motor unit firing properties and coherence. Her work will integrate with network models of the basal ganglia in a collaborative effort to simulate parkinsonian tremor and the effects of emergent beta oscillations on motor unit coherence.
Quantification of Oscillatory Neuromuscular Activity in Parkinson's Disease and DBS.
Ben is using experimental techniques to identify whether pathological oscillatory neuromuscular activity present in the Basal Ganglia in Parkinson's Disease can be detected non-invasively using surface EMG recording techniques.
Vitoria's research is part of the consortium project Multi-Domain Lifestyle Targets for Improving Prognosis in Huntington’s Disease (DOMINO-HD). Her focus is on recording and analysing electromyography (EMG), accelerometry (ACC) and speech to assess motor impairment in patients with Huntington's disease.
Karthik Sridhar has a good background in the field of computational science and engineering. His current research focused on developing computational deep brain stimulation models in rat and use these models for optimization implantable electrodes for long-term recording and stimulation of nervous tissue.
- Dr Lucas Koelman (2020)
- Dr Matthew Flood (2019)
- Dr Eleanor Dunn (2016)
- Dr Lara McManus (2015)
- Dr Clare Davidson (2014)
- Dr Conor Minogue (2014)
- Dr Maurice Curtin (2014)
- Dr Guiyeom Kang (2014)
- Dr Peadar Grant (2010)
- Dr Emma Fortune (2009)
- Dr Emer Doheny (2008)
Research Masters students
- Paul Diamond (2019)
- Shashikala Kattla (2012)
- Sean Dunne (2010)
- Guiyeom Kang (2010)
- Andrew Hearn (2009)
- Catherine Hanley (2008)