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Visual evoked potentials waveform analysis to measure intracortical damage in a preclinical model of multiple sclerosis

Authors :
Silvia Marenna
Elena Rossi
Su-Chun Huang
Valerio Castoldi
Giancarlo Comi
Letizia Leocani
Source :
Frontiers in Cellular Neuroscience, Vol 17 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

IntroductionVisual evoked potentials (VEPs) are a non-invasive technique routinely used in clinical and preclinical practice. Discussion about inclusion of VEPs in McDonald criteria, used for Multiple Sclerosis (MS) diagnosis, increased the importance of VEP in MS preclinical models. While the interpretation of the N1 peak is recognized, less is known about the first and second positive VEP peaks, P1 and P2, and the implicit time of the different segments. Our hypothesis is that P2 latency delay describes intracortical neurophysiological dysfunction from the visual cortex to the other cortical areas.MethodsIn this work, we analyzed VEP traces that were included in our two recently published papers on Experimental Autoimmune Encephalomyelitis (EAE) mouse model. Compared with these previous publications other VEP peaks, P1 and P2, and the implicit time of components P1-N1, N1-P2 and P1-P2, were analyzed in blind.ResultsLatencies of P2, P1-P2, P1-N1 and N1-P2 were increased in all EAE mice, including group without N1 latency change delay at early time points. In particular, at 7 dpi the P2 latency delay change was significantly higher compared with N1 latency change delay. Moreover, new analysis of these VEP components under the influence of neurostimulation revealed a decrease in P2 delay in stimulated animals.DiscussionP2 latency delay, P1-P2, P1-N1, and N1-P2 latency changes which reflect intracortical dysfunction, were consistently detected across all EAE groups before N1 change. Results underline the importance of analyzing all VEP components for a complete overview of the neurophysiological visual pathway dysfunction and treatment efficacy.

Details

Language :
English
ISSN :
16625102 and 05459907
Volume :
17
Database :
Directory of Open Access Journals
Journal :
Frontiers in Cellular Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.0a4cc354f98248c7bb054599076a67c4
Document Type :
article
Full Text :
https://doi.org/10.3389/fncel.2023.1186110