Effective connectivity in spinal cord injury-induced neuropathic pain

Kumari, R., Jarjees, M., Susnoschi-Luca, I. , Purcell, M. and Vučković, A. (2022) Effective connectivity in spinal cord injury-induced neuropathic pain. Sensors, 22(17), 6337. (doi: 10.3390/s22176337) (PMID:36080805) (PMCID:PMC9460641)

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Abstract

Aim: The aim of this study was to differentiate the effects of spinal cord injury (SCI) and central neuropathic pain (CNP) on effective connectivity during motor imagery of legs, where CNP is typically experienced. Methods: Multichannel EEG was recorded during motor imagery of the legs in 3 groups of people: able-bodied (N = 10), SCI with existing CNP (N = 10), and SCI with no CNP (N = 20). The last group was followed up for 6 months to check for the onset of CNP. Source reconstruction was performed to obtain cortical activity in 17 areas spanning sensorimotor regions and pain matrix. Effective connectivity was calculated using the directed transfer function in 4 frequency bands and compared between groups. Results: A total of 50% of the SCI group with no CNP developed CNP later. Statistically significant differences in effective connectivity were found between all groups. The differences between groups were not dependent on the frequency band. Outflows from the supplementary motor area were greater for the able-bodied group while the outflows from the secondary somatosensory cortex were greater for the SCI groups. The group with existing CNP showed the least differences from the able-bodied group, appearing to reverse the effects of SCI. The connectivities involving the pain matrix were different between able-bodied and SCI groups irrespective of CNP status, indicating their involvement in motor networks generally. Significance: The study findings might help guide therapeutic interventions targeted at the brain for CNP alleviation as well as motor recovery post SCI.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Susnoschi-Luca, Ioana and Kumari, Ms Radha and Purcell, Mariel and Jarjees, Mohammed Sabah and Vuckovic, Dr Aleksandra
Creator Roles:
Kumari, R.Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft
Jarjees, M.Data curation
Susnoschi-Luca, I.Validation, Writing – review and editing
Purcell, M.Data curation, Project administration, Writing – review and editing
Vučković, A.Conceptualization, Methodology, Validation, Visualization, Writing – review and editing
Authors: Kumari, R., Jarjees, M., Susnoschi-Luca, I., Purcell, M., and Vučković, A.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Biomedical Engineering
Journal Name:Sensors
Publisher:MDPI
ISSN:1424-8220
ISSN (Online):1424-8220
Published Online:23 August 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Sensors 22(17): 6337
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
305200DTP 2018-19 University of GlasgowMary Beth KneafseyEngineering and Physical Sciences Research Council (EPSRC)EP/R513222/1MVLS - Graduate School