ABSTRACT
We have designed, developed and adapted 3D objects (3DOs) within the interactive environment for in-lab neuroscience research of motor control and the mirror neuron system (MNS) (Figure 1b; 3D view: https://p3d.in/0B202). The modeled 3DOs are implemented in an experimental design with hand movements. We have combined video hand motion capture, associative learning, immersive reality, 'mirror therapy' and non-invasive brain stimulation (NIBS) methods in order to explore the effects of functional motor activity of the MNS. We are proposing to explore the effects of functional motor activity of the MNS for further application with advanced NIBS protocols. This system demo for studying MNS is an example of the research which is spread widely in neuroscience, behavioral and medical studies. It included the implementation of a human-object-interaction in 3D reality. The 3DOs' models and hand movements are available for any research purposes (Figure 1a) [1].
Supplemental Material
Available for Download
Designed 3D Objects: Pictures and Video
- Github: 3D models hand set (HuMA21). Retrieved August 9, 2021 from URL: https://github.com/toandreyhse/HuMA21/Google Scholar
- Cristina Nuzzi, Simone Pasinetti, Roberto Pagani, Stefano Ghidini, Manuel Beschi, Gabriele Coffetti, Giovanna Sansoni. 2021. MEGURU: a gesture-based robot program builder for Meta-Collaborative workstations. Robotics and Computer-Integrated Manufacturing, 68, 102085. doi: 10.1016/j.rcim.2020.102085Google ScholarCross Ref
- Renan H. Matsuda, Viktor H. Souza, V.D. Araki, Glauco A. Caurin, Oswaldo Baffa. 2020. An open-source platform for collaborative robots' for navigated TMS. Clinical Neurophysiol., 131 (4), e108. doi: 10.1016/j.clinph.2019.12.278Google ScholarCross Ref
- Jeff G. Grab, Ephrem Zewdie, Helen L. Carlson, Hsing-Ching Kuo, Patrick Ciechanski, Jacquie Hodge, Adrianna Giuffre, Adam Kirton. 2018. Robotic TMS mapping of motor cortex in the developing brain. Journal of Neuroscience Methods, 309, 41--54. doi: 10.1016/j.jneumeth.2018.08.007Google ScholarCross Ref
- Shailesh S. Kantak, L. Jones-Lush, Min Zhan, J. Lush, P. Narayanan, S. McCombe Waller, and George F. Wittenberg. 2013. Plasticity in TMS-evoked movements with robotic reach training. Neurophysiologie Clinique/ Clinical Neurophysiology, 43 (1), 71--72. doi: 10.1016/j.neucli.2012.11.015Google ScholarCross Ref
- Achim Buerkle, William Eaton, Niels Lohse, Thomas Bamber, Pedro Ferreira. 2021. EEG based arm movement intention recognition towards enhanced safety in symbiotic Human-Robot Collaboration. Robotics and Computer-Integrated Manufacturing, 70, 102137. doi: 10.1016/j.rcim.2021.102137Google ScholarCross Ref
- Michela Bassolino, Matteo Franza, J. Bello Ruiz, Mattia Pinardi, T. Schmidlin, M. A. Stephan, Marko Solca, Andrea Serino, O. Blanke. 2018. Non-invasive brain stimulation of motor cortex induces embodiment when integrated with virtual reality feedback. European Journal of Neuroscience, 47 (7), 790--799. doi: 10.1111/ejn.13871Google ScholarCross Ref
- Raymundo Cassani, Guilherme S. Novak, Tiago H. Falk, and Alcyr A. Oliveira. 2020. Virtual reality and non-invasive brain stimulation for rehabilitation applications: a systematic review. Journal of NeuroEngineering and Rehabilitation, 17(1). 147. doi: 10.1186/s12984-020-00780--5Google ScholarCross Ref
- Chan-Juan Zheng, Wei-Jing Liao, Wen-Guang Xia. 2015. Effect of combined low-frequency repetitive transcranial magnetic stimulation and virtual reality training on upper limb function in subacute stroke: a double-blind randomized controlled trail. Journal of Huazhong University of Science and Technology, 35 (2), 248--54. doi: 10.1007/s11596-015--1419-0Google ScholarCross Ref
- Julia M. Juliano, Ryan P. Spicer, Athanasios Vourvopoulos, Stephanie Lefebvre, Kay Jann, Tyler Ard, Emiliano Santarnecchi, David M. Krum, Sook-Lei Liew. 2020. Embodiment Is Related to Better Performance on a Brain--Computer Interface in Immersive Virtual Reality: A Pilot Study. Sensors, 20 (4), 1204. doi: 10.3390/s20041204Google ScholarCross Ref
- Nessa N. Johnson, James Carey, Bradley J. Edelman, Alexander Doud, Andrew Grande, Kamakshi Lakshminarayan, Bin He. 2018. Combined rTMS and virtual reality brain-computer interface training for motor recovery after stroke. J Neural Eng., 15 (1), 016009. doi: 10.1088/1741--2552/aa8ce3Google ScholarCross Ref
- Caroline Catmur, Vincent Walsh, Cecilia Heyes. 2007. Sensorimotor learning configures the human mirror system. Curr. Biol., 17, 1527--1531. doi: 10.1016/j.cub.2007.08.006Google ScholarCross Ref
- Luciano Fadiga, Leonardo Fogassi, Giovanni Pavesi, and Giacomo Rizzolatti. 1995. Motor facilitation during action observation: a magnetic stimulation study. J. Neurophysiol., 73(6), 2608--11. doi: 10.1152/jn.1995.73.6.2608.Google ScholarCross Ref
- Matteo Feurra, Evgeny Blagovechtchenski, Vadim V. Nikulin, Maria Nazarova, Anna Lebedeva, Daria Pozdeeva, Maria Yurevich, and Simone Rossi. 2019. State-Dependent Effects of Transcranial Oscillatory Currents on the Motor System during Action Observation. Sci. Rep., 9, 12858. doi: 10.1038/s41598-019--49166--1Google ScholarCross Ref
- Clare Press, Caroline Catmur, Richard Cook, Hannah Widmann, Cecilia Heyes, Geoffrey Birm. 2012. fMRI Evidence of 'Mirror' Responses to Geometric Shapes. PLoS ONE, 7(12): e51934. doi: 10.1371/journal.pone.0051934Google ScholarCross Ref
- Marco Iacoboni, Istvan Molnar-Szakacs, Vittorio Gallese, Giovanni Buccino, John C. Mazziotta, Giacomo Rizzolatti. 2005. Grasping Intentions with Mirror Neurons. PLoS Biol., 3(3), e79. doi: 10.1371/journal.pbio.0030079Google ScholarCross Ref
- Sandro M. Krieg, Pantelis Lioumis, Jyrki P. Mäkelä, Juha Wilenius, Jari Karhu, Henri Hannula, Petri Savolainen, Carolin Weiss Lucas, Kathleen Seidel, Aki Laakso, Mominul Islam, Selja Vaalto, Henri Lehtinen, Anne-Mari Vitikainen, Phiroz E. Tarapore, Thomas Picht. 2017. Protocol for motor and language mapping by navigated TMS in patients and healthy volunteers; workshop report. Acta Neurochir (Wien), 159, 1187--1195. doi: 10.1007/s00701-017--3187-zGoogle ScholarCross Ref
- Paolo Maria Rossini, A.T. Barker, A. Berardelli, M.D. Caramia, G. Caruso, R.Q. Cracco, M.R. Dimitrijevi?, M. Hallett, Y. Katayama, C.H. Lücking. 1994. Non-invasive electrical and magnetic stimulation of the brain, spinal cord and roots: basic principles and procedures for routine clinical application. Report of an IFCN committee. Electroencephalogr Cinical Neurophysiol., 91, 79--92. doi: 10.1016/0013--4694(94)90029--9Google ScholarCross Ref
- Simone Rossi, Andrea Antal, Sven Bestmann, Marom Bikson, Carmen Brewer, Jürgen Brockmöller, Linda L. Carpenter, Massimo Cincotta, Robert Chen, Jeff D. Daskalakis, Vincenzo Di Lazzaro, Michael D. Fox, Mark S. George, Donald Gilbert, Vasilios K. Kimiskidis, Giacomo Koch, Risto J. Ilmoniemi, Jean Pascal Lefaucheur, Letizia Leocani, Sarah H. Lisanby, Carlo Miniussi, Frank Padberg, Alvaro Pascual-Leone, Walter Paulus, Angel V. Peterchev, Angelo Quartarone, Alexander Rotenberg, John Rothwell, Paolo M. Rossini, Emiliano Santarnecchi, Mouhsin M. Shafi, Hartwig R. Siebner, Yoshikatzu Ugawa, Eric M. Wassermann, Abraham Zangen, Ulf Ziemann, Mark Hallett. 2021. Safety and recommendations for TMS use in healthy subjects and patient populations, with updates on training, ethical and regulatory issues: Expert Guidelines. Clinical Neurophysiol., 132 (1), 269--306. doi: 10.1016/j.clinph.2020.10.003Google ScholarCross Ref
- Vinsent Taschereau-Dumouchel, Sebastien Hetu, Pierre-Emmanuel Michon, Etienne Vachon-Presseau, Elsa Massicotte, Louis De Beaumont, Shirley Fecteau, Judes Poirier, Catherine Mercier, Yvon C. Chagnon, Philip Jackson. 2016. BDNF Val66Met Polymorphism Influences Visuomotor Associative Learning and the Sensitivity to Action Observation. Sci. Rep., 6, 34907. doi: 10.1038/srep34907Google ScholarCross Ref
- Michela Bassolino, Martina Campanella, Marco Bove, Thierry Pozzo, and Luciano Fadiga. 2013. Training the Motor Cortex by Observing the Actions of Others During Immobilization. Cerebral Cortex, 24 (12), 3268--76. doi: 10.1093/cercor/bht190Google ScholarCross Ref
Index Terms
- Modeling 3D Objects: Implications for Neuroscience, Behavioral and Medical Studies: A Case Demo
Recommendations
Modelling intrinsic electrophysiological properties of ON and OFF retinal ganglion cells
ON and OFF retinal ganglion cells (RGCs) display differences in their intrinsic electrophysiology: OFF cells maintain spontaneous activity in the absence of any input, exhibit subthreshold membrane potential oscillations, rebound excitation and burst ...
Modelling self-sustained rhythmic activity in lamprey hemisegmental networks
Recent studies of the lamprey spinal cord have shown that hemisegmental preparations can display rhythmic activity in response to a constant input drive. This activity is believed to be generated by a network of recurrently connected excitatory ...
Modeling synchronous theta activity in the medial septum: key role of local communications between different cell populations
It is widely believed that the theta rhythm in the hippocampus is caused by the rhythmic input from the medial septum-diagonal band of Broca (MSDB). The main MSDB output is formed by GABAergic projection neurons which are divided into two subpopulations ...
Comments