| Literature DB >> 32828930 |
Mathias Valstad1, Torgeir Moberget2, Daniël Roelfs3, Nora B Slapø3, Clara M F Timpe2, Dani Beck2, Geneviève Richard3, Linn Sofie Sæther3, Beathe Haatveit3, Knut Andre Skaug4, Jan Egil Nordvik5, Christoffer Hatlestad-Hall6, Gaute T Einevoll7, Tuomo Mäki-Marttunen8, Lars T Westlye2, Erik G Jönsson9, Ole A Andreassen3, Torbjørn Elvsåshagen10.
Abstract
Experience-dependent modulation of the visual evoked potential (VEP) is a promising proxy measure of synaptic plasticity in the cerebral cortex. However, existing studies are limited by small to moderate sample sizes as well as by considerable variability in how VEP modulation is quantified. In the present study, we used a large sample (n = 415) of healthy volunteers to compare different quantifications of VEP modulation with regards to effect sizes and retention of the modulation effect over time. We observed significant modulation for VEP components C1 (Cohen's d = 0.53), P1 (d = 0.66), N1 (d=-0.27), N1b (d=-0.66), but not P2 (d = 0.08), and in three clusters of total power modulation, 2-4 min after 2 Hz prolonged visual stimulation. For components N1 (d=-0.21) and N1b (d=-0.38), as well for the total power clusters, this effect was retained after 54-56 min, by which time also the P2 component had gained modulation (d = 0.54). Moderate to high correlations (0.39≤ρ≤0.69) between modulation at different postintervention blocks revealed a relatively high temporal stability in the modulation effect for each VEP component. However, different VEP components also showed markedly different temporal retention patterns. Finally, participant age correlated negatively with C1 (χ2=30.4), and positively with P1 modulation (χ2=13.4), whereas P2 modulation was larger for female participants (χ2=15.4). There were no effects of either age or sex on N1 and N1b potentiation. These results provide strong support for VEP modulation, and especially N1b modulation, as a robust measure of synaptic plasticity, but underscore the need to differentiate between components, and to control for demographic confounders.Entities:
Mesh:
Year: 2020 PMID: 32828930 DOI: 10.1016/j.neuroimage.2020.117302
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556