Dynamics of brain connectivity after stroke

Article

Desowska, A. and Turner, D. 2019. Dynamics of brain connectivity after stroke. Reviews in the Neurosciences. 30 (6), p. 605–623. https://doi.org/10.1515/revneuro-2018-0082

Publication dates
Authors	Desowska, A. and Turner, D.
Abstract	PURPOSE: Recovery from a stroke is a dynamic time-dependent process with the central nervous system reorganizing to accommodate for the impact of the injury. The purpose of this paper is to review recent longitudinal studies of changes in brain connectivity after stroke. METHOD: A systematic review of research papers reporting functional or effective connectivity at two or more time points in stroke patients. RESULTS: Stroke leads to an early reduction of connectivity in the motor network. With recovery time, the connectivity increases and can reach the same levels as in healthy participants. The increase in connectivity is correlated with functional motor gains. A new, more randomized pattern of connectivity may then emerge in the longer term. In some instances, a pattern of increased connectivity even higher than in healthy controls can be observed, related either to a specific time point or to a specific neural structure. Rehabilitation interventions can help improve connectivity between specific regions. CONCLUSIONS: Motor network connectivity undergoes reorganization during recovery from a stroke and can be related to behavioural recovery. Detailed analysis of changes in connectivity pattern may enable a better understanding of adaptation to a stroke and how compensatory mechanisms in the brain may be supported by rehabilitation.
Journal	Reviews in the Neurosciences
Journal citation	30 (6), p. 605–623
ISSN	0334-1763
Year	2019
Publisher	De Gruyter
Accepted author manuscript	7834.pdf License All rights reserved File Access Level Anyone
Digital Object Identifier (DOI)	https://doi.org/10.1515/revneuro-2018-0082
Web address (URL)	https://doi.org/10.1515/revneuro-2018-0082
Online	15 Feb 2019
Publication process dates
Deposited	11 Feb 2019
Accepted	18 Nov 2018
Accepted	18 Nov 2018
Copyright holder	© 2019 Walter de Gruyter GmbH

Permalink -

https://repository.uel.ac.uk/item/844qq

Download files

Accepted author manuscript

	7834.pdf
License: All rights reserved
File access level: Anyone

274
total views
788
total downloads
3
views this month
32
downloads this month

Export as

Related outputs

Economic evaluation of robot-assisted training versus an enhanced upper limb therapy programme or usual care for patients with moderate or severe upper limb functional limitation due to stroke: results from the RATULS randomised controlled trial

Fernandez-Garcia, C., Ternent, L., Homer, T. M., Rodgers, H., Bosomworth, H., Shaw, L., Aird, L., Andole, S., Cohen, D., Dawson, J., Finch, T., Ford, G., Francis, R., Hogg, S., Hughes, N., Krebs, H. I., Price, C., Turner, D., Van Wijck, F., Wilkes, S., Wilson, N. and Vale, L. 2021. Economic evaluation of robot-assisted training versus an enhanced upper limb therapy programme or usual care for patients with moderate or severe upper limb functional limitation due to stroke: results from the RATULS randomised controlled trial. BMJ Open. 11 (Art. e042081). https://doi.org/10.1136/bmjopen-2020-042081

Motor adaptation and internal model formation in a robot-mediated forcefield

Taga, M., Curci, A., Pizzamiglio, S., Lacal, I., Turner, D. and Fu, C. 2021. Motor adaptation and internal model formation in a robot-mediated forcefield. Psychoradiology. 1 (2), p. 73–87. https://doi.org/10.1093/psyrad/kkab007

Robot-assisted training compared with an enhanced upper limb therapy programme and with usual care for upper limb functional limitation after stroke: the RATULS three-group RCT

Rodgers, H., Bosomworth, H., Krebs, H. I., van Wijck, F., Howel, D., Wilson, N., Finch, T., Alvarado, N., Ternent, L., Fernandez-Garcia, C., Aird, L., Andole, S., Cohen, D. L., Dawson, J., Ford, G. A., Francis, R., Hogg, S., Hughes, N., Price, C. I., Turner, D. L., Vale, L., Wilkes, S. and Shaw, L. 2020. Robot-assisted training compared with an enhanced upper limb therapy programme and with usual care for upper limb functional limitation after stroke: the RATULS three-group RCT. Health Technology Assessment. 24 (54). https://doi.org/10.3310/hta24540

Evaluation of the enhanced upper limb therapy programme within the Robot-Assisted Training for the Upper Limb after Stroke trial: descriptive analysis of intervention fidelity, goal selection and goal achievement

Bosomworth, H., Rodgers, H., Shaw, L., Smith, L., Aird, L., Howe, D., Wilson, N., Alvarado, N., Andole, S., Cohen, D., Dawson, J., Fernandez-Garcia, C., Finch, T., Ford, G. A., Francis, R., Hogg, S., Hughes, N., Price, C. I., Ternent, L., Vale, L., Turner, D., Wilkes, S., Krebs, H. I. and van Wijck, F. 2020. Evaluation of the enhanced upper limb therapy programme within the Robot-Assisted Training for the Upper Limb after Stroke trial: descriptive analysis of intervention fidelity, goal selection and goal achievement. Clinical Rehabilitation. 35 (1), pp. 119-134. https://doi.org/10.1177/0269215520953833

Graded fMRI Neurofeedback Training of Motor Imagery in Middle Cerebral Artery Stroke Patients: A Preregistered Proof-of-Concept Study

Mehler, D. M. A., Williams, A. N., Whittaker, J. R., Krause, F., Lührs, M., Kunas, S., Wise, R. G., Shetty H. G. M., Turner, D. and Linden, D. E. J. 2020. Graded fMRI Neurofeedback Training of Motor Imagery in Middle Cerebral Artery Stroke Patients: A Preregistered Proof-of-Concept Study. Frontiers in Human Neuroscience. 14 (Art. 226). https://doi.org/10.3389/fnhum.2020.00226

Are There Brain-Based Predictors of the Ability to Learn a New Skill in Healthy Ageing and Can They Help in the Design of Effective Therapy after Stroke?

Desowska, A. 2019. Are There Brain-Based Predictors of the Ability to Learn a New Skill in Healthy Ageing and Can They Help in the Design of Effective Therapy after Stroke? PhD Thesis University of East London School of Health, Sport and Bioscience https://doi.org/10.15123/uel.8887v

Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial

Rodgers, H., Bosomworth, H., Krebs, H. I., van Wijck, F., Howel, D., Wilson, N., Aird, L., Alvarado, N., Andole, S., Cohen, D. L., Dawson, J., Fernandez-Garcia, C., Finch, T., Ford, G. A., Francis, R., Hogg, S., Hughes, N., Price, C. I., Ternent, L., Turner, D., Vale, L., Wilkes, S. and Shaw, L. 2019. Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial. Lancet. 394 (10192), pp. 51-62. https://doi.org/10.1016/S0140-6736(19)31055-4

The BOLD response in primary motor cortex and supplementary motor area during kinesthetic motor imagery based graded fMRI neurofeedback

Mehler, David M.A., Williams, Angharad N., Krause, Florian, Lührs, Michael, Wise, Richard G., Turner, D., Linden, David E.J. and Whittaker, Joseph R. 2018. The BOLD response in primary motor cortex and supplementary motor area during kinesthetic motor imagery based graded fMRI neurofeedback. NeuroImage. 184, pp. 36-44. https://doi.org/10.1016/j.neuroimage.2018.09.007

Resting-state functional connectivity predicts the ability to adapt to robot-mediated force fields

Faiman, Irene, Pizzamiglio, S. and Turner, D. 2018. Resting-state functional connectivity predicts the ability to adapt to robot-mediated force fields. NeuroImage. 174, pp. 494-503. https://doi.org/10.1016/j.neuroimage.2018.03.054

Neural Predictors of Gait Stability When Walking Freely in the Real-World.

Pizzamiglio, S., Abdalla, H., Naeem, U. and Turner, D. 2018. Neural Predictors of Gait Stability When Walking Freely in the Real-World. Journal of NeuroEngineering and Rehabilitation. 15 (11). https://doi.org/10.1186/s12984-018-0357-z

Advanced technology for gait rehabilitation --- An overview

Mikolajczyk, Tadeusz, Ciobanu, Ileana, Badea, Joana, Iliescu, Alina, Pizzamiglio, S., Schauer, Thomas, See, Thomas, Seicu, Lucien, Turner, D. and Berteanu, Mihai 2018. Advanced technology for gait rehabilitation --- An overview. Advances in Mechanical Engineering. 10 (7), pp. 1-19. https://doi.org/10.1177/1687814018783627

Neural correlates of single- and dual-task walking in the real world

Pizzamiglio, Sara, Naeem, U., Abdalla, H. and Turner, D. 2017. Neural correlates of single- and dual-task walking in the real world. Frontiers in Human Neuroscience. 11, p. Art 460. https://doi.org/10.3389/fnhum.2017.00460

Robot Assisted Training for the Upper Limb after Stroke (RATULS): study protocol for a randomised controlled trial

Rodgers, Helen, Shaw, Lisa, Bosomworth, Helen, Aird, Lydia, Alvarado, Natasha, Andole, Sreeman, Cohen, David L., Dawson, Jesse, Eyre, Janet, Finch, Tracy, Ford, Gary A., Hislop, Jennifer, Hogg, Steven, Howel, Denise, Hughes, Niall, Krebs, Hermano Igo, Price, Christopher, Rochester, Lynn, Stamp, Elaine, Ternent, Laura, Turner, D., Vale, Luke, Warburton, Elizabeth, van Wijck, Frederike and Wilkes, Scott 2017. Robot Assisted Training for the Upper Limb after Stroke (RATULS): study protocol for a randomised controlled trial. Trials. 18, p. Art. 340. https://doi.org/10.1186/s13063-017-2083-4

High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation

Pizzamiglio, Sara, De Lillo, Martina, Naeem, U., Abdalla, Hassan and Turner, D. 2017. High-Frequency Intermuscular Coherence between Arm Muscles during Robot-Mediated Motor Adaptation. Frontiers in Physiology. 7 (668), pp. 1-14. https://doi.org/10.3389/fphys.2016.00668

Muscle co-contraction patterns in robot-mediated force field learningto guide specific muscle group training

Pizzamiglio, S., Desowska, A., Mohajer Shojaii, P., Taga, M. and Turner, D. 2017. Muscle co-contraction patterns in robot-mediated force field learningto guide specific muscle group training. NeuroRehabilitation. 41 (1), pp. 17-29. https://doi.org/10.3233/NRE-171453

A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing

Pizzamiglio, S., Naeem, U., ur Réhman, Shafiq, Sharif, M., Abdalla, H. and Turner, D. 2017. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. Procedia Computer Science. 113, pp. 89-96. https://doi.org/10.1016/j.procs.2017.08.297

Real-time functional magnetic resonance imaging neurofeedback in motor neurorehabilitation

Linden, David E.J. and Turner, D. 2016. Real-time functional magnetic resonance imaging neurofeedback in motor neurorehabilitation. Current Opinion in Neurology. 29 (4), pp. 412-418. https://doi.org/10.1097/WCO.0000000000000340

Functional Magnetic Resonance Imaging Neurofeedback-guided Motor Imagery Training and Motor Training for Parkinson’s Disease: Randomized Trial

Subramanian, Leena, Busse-Morris, Monica, Brosnan, Meadhbh, Turner, D., Morris, Huw R. and Linden, David E. J. 2016. Functional Magnetic Resonance Imaging Neurofeedback-guided Motor Imagery Training and Motor Training for Parkinson’s Disease: Randomized Trial. Frontiers in Behavioural Neuroscience. 10, p. Art.111. https://doi.org/10.3389/fnbeh.2016.00111

Spinal plasticity in robot-mediated therapy for the lower limbs

Stevenson, Andrew JT, Mrachacz-Kersting, Natalie, van Asseldonk, Edwin, Turner, D. and Spaich, Erika G. 2015. Spinal plasticity in robot-mediated therapy for the lower limbs. Journal of NeuroEngineering and Rehabilitation. 12 (1).

Neurophysiology of Robot-Mediated Training and Therapy: A Perspective for Future Use in Clinical Populations

Turner, D., Ramos-Murguialday, Ander, Birbaumer, Niels, Hoffmann, Ulrich and Luft, Andreas 2013. Neurophysiology of Robot-Mediated Training and Therapy: A Perspective for Future Use in Clinical Populations. Frontiers in Neurology. 4 (184).