Abstract
Motor deficit is a prominent feature among stroke survivors. Robot-assisted therapies have been proposed as a strategy to boost rehabilitation, by allowing therapy to be provided in a more reproducible and intense manner, while quantitatively monitoring patient’s improvement. However, those approaches have so far not shown superiority over conventional treatments. One potential solution to reach better outcomes would be to personalize the treatment. In this regard, a better understanding of the mechanisms underlying motor recovery is pivotal to tailor therapy to each patient. Here, we explored the cortical changes occurring during robotic training. We recorded resting-state fMRI before and after the treatment in three sub-acute post-stroke survivors, and we investigated the functional connectivity between motor regions. We observed a cortical reorganization following training, consistent with motor improvements.
Research supported by Wyss Center for Bio- and Neuro- Engineering and Bertarelli Foundation Chair in Translational Neuroengineering.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Langhorne, P., Coupar, F., Pollock, A.: Motor recovery after stroke: a systematic review. Lancet Neurol. 8, 741–754 (2009)
Klamroth-Marganska, V., Blanco, J., Campen, K., Curt, A., Dietz, V., et al.: Three-dimensional, task-specific robot therapy of the arm after stroke: a multicentre, parallel-group randomised trial. Lancet Neurol. 13(2), 159–166 (2014)
Rehme, A.K., Grefkes, C.: Cerebral network disorders after stroke: evidence from imaging-based connectivity analyses of active and resting brain states in humans. J. Physiol. 591(1), 17–31 (2013)
Fan, Y., Wu, C., Liu, H., Lin, K., Wai, Y., Chen, Y.: Neuro-plastic changes in resting-state functional connectivity after stroke rehabilitation. Front. Hum. Neurosci. 9, 546 (2015)
Várkuti, B., Guan, C., Pan, Y., Phua, K., Ang, K., et al.: Resting state changes in functional connectivity correlate with movement recovery for BCI and robot-assisted upper-extremity training after stroke. Neurorehabil. Neural Repair 27, 53–62 (2013)
Wang, L., Yu, C., Chen, H., Qin, W., He, Y., et al.: Dynamic functional reorganization of the motor execution network after stroke. Brain 133, 1224–1238 (2010)
Park, C., Chang, W., Ohn, S., Kim, S., Bang, O., et al.: Longitudinal changes of resting-state functional connectivity during motor recovery after stroke. Stroke 42, 1357–1362 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Kinany, N. et al. (2019). Resting-State Functional Connectivity in Stroke Patients After Upper Limb Robot-Assisted Therapy: A Pilot Study. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_191
Download citation
DOI: https://doi.org/10.1007/978-3-030-01845-0_191
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01844-3
Online ISBN: 978-3-030-01845-0
eBook Packages: EngineeringEngineering (R0)