LABORATORIES

Neural Engineering Lab

Neural Engineering Lab

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Research

Our team applies engineering techniques to investigate the function and manipulate the central and peripheral nervous system. Research performed in our lab focus on functional recovery and mobility after neurological injuries using neuromodulation approaches. We design breakthrough technology-based interventions to promote neurorecovery through neural interfaces. These interfaces allow us to record neural activity and stimulate the nervous system to modulate and strengthen neural pathways. Currently, the main line of research carried out in our lab is Neuroprosthetics for tremor reduction.

Lines of research

1. Neuroprosthetics for tremor reduction
The main goal of this line of research is to investigate the capability of peripheral electrical stimulation to modulate spinal and supraspinal centers involved in the pathogenesis of tremor in essential tremor and Parkinson’s disease patients. To achieve this goal, we combine several electrophysiological assessments ranging from local field potentials, somatosensory evoked potentials and motor evoked potentials, among others. The second goal of this line of research is to assess the potential transfer of benefits of a therapy based on peripheral electrical stimulation. For that, we are developing a setup that will be tested at home and assess its viability as an intervention tool to reduce tremor in the long term.

2. Artificial Intelligence techniques to predict pathological tremor events

In the past few years, we have demonstrated the ability of some AI techniques to accurately predict tremor events from kinematic and EMG data offline. This is collaborative work with Dr. Álvaro Gutiérrez (UPM, Madrid) and Dr. Alejandro Pascual Valdunciel (Imperial College London, UK). Currently, we are now investigating the potential of AI techniques to accurately predict tremor events online. The main goal is to implement this approach towards customized therapies that can reduce pathological tremor more efficiently.

3. Muscle synergies as biomarkers of pathological neural control
Since 2010, we have developed new metrics based on the analysis of muscle synergies to quantitatively assess sensorimotor impairments in populations that suffered a stroke or a spinal cord injury. This is collaborative work with Dr. Diego Torricelli from CSIC. These metrics have been validated as a complement to current clinical assessment procedures. More recently, we translated this know-how to study muscle coordination in individuals with patellofemoral pain. Currently, we combine the analysis of muscle synergies with kinematic-based biomarkers to investigate the neuromotor status of Parkinson’s disease patients during walking, along with disease progression.

4. Real-time control of robotic exoskeletons based on electromyography
We are also developing an EMG-based controller to guide exoskeletons in real time during walking. This is collaborative work with Dr. Juan C. Moreno from CSIC. Our previous research demonstrated the viability of this controller in healthy volunteers. We are now working on its translation to exoskeleton-based rehabilitation after incomplete spinal cord injury. Our approach will allow a more intuitive control of the exoskeletons, which is expected to improve the functional outcomes of patients.

Team

Filipe Oliveira Barroso

Group Leader

Cristina Montero Pardo

PhD Student

İrem Akgun

PhD Student

Míriam Múgica Esteve

MSc Student

María España Fontán

Bachelor student

Maria Pulido Agüero

Bachelor student

Publications

List of the most representative publications

  • Alejandro Pascual Valdunciel; Nish Mohith Kurukuti; Cristina Montero Pardo; Filipe Oliveira Barroso; José Luis Pons. 2023. Modulation of spinal circuits following phase-dependent electrical stimulation of afferent pathways. Journal of Neural Engineering. 20. https://doi.org/10.1088/1741-2552/acb087.
  • Cintia Lopes Ferreira; Filipe Oliveira Barroso; Diego Torricelli; José L. Pons; Fabiano Politti; Paulo Roberto Garcia Lucareli. Muscle synergies analysis shows altered neural strategies in women with patellofemoral pain during walking. PLOS ONE. 2023. 18 – 10. https://doi.org/10.1371/journal.pone.0292464.
  • Alejandro Pascual Valdunciel; Víctor Lopo Martínez; Rafael Sendra Arranz; Miguel González Sánchez; Javier Ricardo Pérez Sánchez; Francisco Grandas; Diego Torriceli; Juan C. Moreno; Filipe Oliveira Barroso; José L. Pons; Álvaro Gutiérrez. 2022. Prediction of Pathological Tremor Signals Using Long Short-Term Memory Neural Networks. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/JBHI.2022.3209316.
  • Laura Becerra Fajardo; Marc Oliver Krob; Jesus Minguillon; Camila Rodrigues; Christine Welsch; Marc Tudela Pi; Albert Comerma; Filipe Oliveira Barroso; Andreas Schneider; Antoni Ivorra. 2022. Floating EMG sensors and stimulators wirelessly powered and operated by volume conduction for networked neuroprosthetics. Journal of NeuroEngineering and Rehabilitation. 19-1. https://doi.org/10.1186/s12984-022-01033-3.
  • Alejandro Pascual Valdunciel; Grace W. Hoo; Simon Avrillon; Filipe Oliveira Barroso; Jennifer G. Goldman; Julio C. Hernandez Pavon; José L. Pons. 2021. Peripheral electrical stimulation to reduce pathological tremor: a review. Journal of NeuroEngineering and Rehabilitation. 18-1. https://doi.org/10.1186/s12984-021-00811-9.
  • Lilla Botzheim; Jozsef Laczko; Diego Torricelli; Mariann Mravcsik; Jose L. Pons; Filipe Oliveira Barroso. 2021. Effects of gravity and kinematic constraints on muscle synergies in arm cycling. Journal of Neurophysiology. 125-4, pp.1367-1381. https://doi.org/10.1152/jn.00415.2020.
  • Alejandro Pascual Valdunciel; Miguel Gonzalez Sanchez; Silvia Muceli; Silvia Muceli; Beatriz Adán-Barrientos; Viviana Escobar-Segura; Javier Ricardo Pérez-Sánchez; Moon Ki Jung; Andreas Schneider; Klaus-Peter Hoffmann; Juan Camilo Moreno; Francisco Grandas; Dario Farina; José Luis Pons; Filipe Oliveira Barroso. 2020. Intramuscular stimulation of muscle afferents attains prolonged tremor reduction in essential tremor patients. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/TBME.2020.3015572.
  • Cristiano Alessandro; Filipe Oliveira Barroso; Adarsh Prashara; David P. Tentler; Hsin-Yun Yeh; Matthew C. Tresch. 2020. Coordination amongst quadriceps muscles suggests neural regulation of internal joint stresses, not simplification of task performance. Proceedings of the National Academy of Sciences. 117-14, pp.8135-8142. https://doi.org/10.1073/pnas.1916578117.
  • Filipe O. Barroso; Cristiano Alessandro; Matthew C. Tresch. 2019. Adaptation of muscle activation after patellar loading demonstrates neural control of joint variables. Scientific Reports. 9. https://doi.org/10.1038/s41598-019-56888-9.
  • Filipe O. Barroso; Bryan Yoder; David Tentler; Josephine J. Wanner; Amina A. Kinkhabwala; Maria K. Jantz; Robert D. Flint; Pablo M. Tostado; Evonne Pei; Ambika D. R. Satish; Sarah K. Brodnick; Aaron J. Suminski; Justin C. Williams; Lee E. Miller; Matthew C. Tresch. 2019. Decoding neural activity to predict rat locomotion using intracortical and epidural arrays. Journal of Neural Engineering. 16-3. https://doi.org/10.1088/1741-2552/ab0698.
  • Silvia Muceli; Wigand Poppendieck; Klaus-Peter Hoffmann; Strahinja Dosen; Julián Benito-León; Filipe O. Barroso; José L. Pons; Dario Farina. 2019. A thin-film multichannel electrode for muscle recording and stimulation in neuroprosthetics applications. Journal of Neural Engineering. 16-2. https://doi.org/10.1088/1741-2552/ab047a.
  • Cristiano Alessandro; Benjamin A. Rellinger; Filipe O. Barroso; Matthew C. Tresch. 2018. Adaptation after vastus lateralis denervation in rats demonstrates neural regulation of joint stresses and strains. eLife. 7. https://doi.org/10.7554/eLife.38215.001.
  • Filipe O. Barroso; Diego Torricelli; Francisco Molina-Rueda; Isabel M. Alguacil-Diego; Roberto Cano-de-la-Cuerda; Cristina Santos; Juan C. Moreno; Juan C. Miangolarra-Page; Jose L. Pons. 2017. Combining muscle synergies and biomechanical analysis to assess gait in stroke patients. Journal of Biomechanics. 63, pp.98-103. https://doi.org/10.1016/j.jbiomech.2017.08.006.
  • Cristiano Alessandro; Filipe O. Barroso; Matthew Tresch. 2016. Working hard to make a simple definition of synergies Comment on: “Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands” by Marco Santello et al. Physics of Life Reviews. 17, pp.24-26. https://doi.org/10.1016/j.plrev.2016.05.015.
  • Filipe O. Barroso; Diego Torricelli; Elisabeth Bravo-Esteban; Julian Taylor; Julio Gomez-Soriano; Cristina Santos; Juan C. Moreno; Jose L. Pons. 2016. Muscle synergies in cycling after incomplete spinal cord injury: correlation with clinical measures of motor function and spasticity. Frontiers in Human Neuroscience. 9-706. https://doi.org/10.3389/fnhum.2015.00706.
  • Filipe O. Barroso; Diego Torricelli; Juan C. Moreno; Julian Taylor; Julio Gomez-Soriano; Elisabeth Bravo-Esteban; Stefano Piazza; Cristina Santos; Jose L. Pons. 2014. Shared muscle synergies in human walking and cycling. Journal of Neurophysiology. 112-8, pp.1984-1998. https://doi.org/10.1152/jn.00220.2014.
  • Juan C. Moreno; Filipe O. Barroso; Dario Farina; Leonardo Gizzi; Cristina Santos; Marco Molinari; Jose L. Pons. 2013. Effects of robotic guidance on the coordination of locomotion. Journal of NeuroEngineering and Rehabilitation. 10-79. https://doi.org/10.1186/1743-0003-10-79.

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Neural Engineering Lab

Instituto Cajal CSIC. Avda. Doctor Arce, 37. 28002. Madrid

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