Hubli, Michèle; Kramer, John L K; Jutzeler, Catherine R; Rosner, Jan; Furlan, Julio C; Tansey, Keith E; Schubert, Martin (2019). Application of electrophysiological measures in spinal cord injury clinical trials: a narrative review. Spinal cord, 57(11), pp. 909-923. Nature Publishing Group 10.1038/s41393-019-0331-z
Full text not available from this repository. (Request a copy)STUDY DESIGN
Narrative review.
OBJECTIVES
To discuss how electrophysiology may contribute to future clinical trials in spinal cord injury (SCI) in terms of: (1) improvement of SCI diagnosis, patient stratification and determination of exclusion criteria; (2) the assessment of adverse events; and (3) detection of therapeutic effects following an intervention.
METHODS
An international expert panel for electrophysiological measures in SCI searched and discussed the literature focused on the topic.
RESULTS
Electrophysiology represents a valid method to detect, track, and quantify readouts of nerve functions including signal conduction, e.g., evoked potentials testing long spinal tracts, and neural processing, e.g., reflex testing. Furthermore, electrophysiological measures can predict functional outcomes and thereby guide rehabilitation programs and therapeutic interventions for clinical studies.
CONCLUSION
Objective and quantitative measures of sensory, motor, and autonomic function based on electrophysiological techniques are promising tools to inform and improve future SCI trials. Complementing clinical outcome measures, electrophysiological recordings can improve the SCI diagnosis and patient stratification, as well as the detection of both beneficial and adverse events. Specifically composed electrophysiological measures can be used to characterize the topography and completeness of SCI and reveal neuronal integrity below the lesion, a prerequisite for the success of any interventional trial. Further validation of electrophysiological tools with regard to their validity, reliability, and sensitivity are needed in order to become routinely applied in clinical SCI trials.
Item Type: |
Journal Article (Review Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology |
UniBE Contributor: |
Rosner, Jan |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1362-4393 |
Publisher: |
Nature Publishing Group |
Language: |
English |
Submitter: |
Chantal Kottler |
Date Deposited: |
15 Jan 2020 13:00 |
Last Modified: |
05 Dec 2022 15:34 |
Publisher DOI: |
10.1038/s41393-019-0331-z |
PubMed ID: |
31337870 |
URI: |
https://boris.unibe.ch/id/eprint/137319 |
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