Stability of steady-state visual evoked potential contrast response functions.
EEG
ERPs
contrast
neuroplasticity
plasticity
ssvep
Journal
Psychophysiology
ISSN: 1540-5958
Titre abrégé: Psychophysiology
Pays: United States
ID NLM: 0142657
Informations de publication
Date de publication:
Jan 2024
Jan 2024
Historique:
revised:
07
06
2023
received:
12
08
2022
accepted:
10
06
2023
medline:
5
12
2023
pubmed:
24
8
2023
entrez:
24
8
2023
Statut:
ppublish
Résumé
Repetitive sensory stimulation has been shown to induce neuroplasticity in sensory cortical circuits, at least under certain conditions. We measured the plasticity-inducing effect of repetitive contrast-reversal-sweep steady-state visual-evoked potential (ssVEP) stimuli, hoping to employ the ssVEP's high signal-to-noise electrophysiological readout in the study of human visual cortical neuroplasticity. Steady-state VEP contrast-sweep responses were measured daily for 4 days (four 20-trial blocks per day, 20 participants). No significant neuroplastic changes in response amplitude were observed either across blocks or across days. Furthermore, response amplitudes were stable within-participant, with measured across-block and across-day coefficients of variation (CV = SD/mean) of 15-20 ± 2% and 22-25 ± 2%, respectively. Steady-state VEP response phase was also highly stable, suggesting that temporal processing delays in the visual system vary by at most 2-3 ms across blocks and days. While we fail to replicate visual stimulation-dependent cortical plasticity, we show that contrast-sweep steady-state VEPs provide a stable human neurophysiological measure well suited for repeated-measures longitudinal studies.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e14412Subventions
Organisme : NEI NIH HHS
ID : L30 EY035577
Pays : United States
Organisme : NIMH NIH HHS
ID : L30 MH127614
Pays : United States
Organisme : NEI NIH HHS
ID : EY018875
Pays : United States
Organisme : NEI NIH HHS
ID : RO1-EY015790
Pays : United States
Organisme : NEI NIH HHS
ID : EY018875
Pays : United States
Organisme : NEI NIH HHS
ID : RO1-EY015790
Pays : United States
Informations de copyright
© 2023 Society for Psychophysiological Research.
Références
Ammann, C., Guida, P., Caballero-Insaurriaga, J., Pineda-Pardo, J. A., Oliviero, A., & Foffani, G. (2020). A framework to assess the impact of number of trials on the amplitude of motor evoked potentials. Sci Reports, 10, 1-15. https://doi.org/10.1038/s41598-020-77383-6
Bennett, C. M., & Miller, M. B. (2010). How reliable are the results from functional magnetic resonance imaging? Annals of the new York Academy of Sciences, 1191, 133-155. https://doi.org/10.1111/J.1749-6632.2010.05446.X
Berens, P. (2009). CircStat: A MATLAB toolbox for circular statistics. Journal of Statistical Software, 31, 1-21.
Birman, D., & Gardner, J. L. (2018). A quantitative framework for motion visibility in human cortex. Journal of Neurophysiology, 120, 1824-1839. https://doi.org/10.1152/JN.00433.2018/ASSET/IMAGES/LARGE/Z9K0091847700006.JPEG
Bohotin, V., Fumal, A., Vandenheede, M., Gérard, P., Bohotin, C., Maertens De Noordhout, A., & Schoenen, J. (2002). Effects of repetitive transcranial magnetic stimulation on visual evoked potentials in migraine. Brain, 125, 912-922. https://doi.org/10.1093/brain/awf081
Çavuş, I., Reinhart, R. M. G., Roach, B. J., Gueorguieva, R., Teyler, T. J., Clapp, W. C., Ford, J. M., Krystal, J. H., & Mathalon, D. H. (2012). Impaired visual cortical plasticity in schizophrenia. Biological Psychiatry, 71, 512-520. https://doi.org/10.1016/j.biopsych.2012.01.013
Cooke, S. F., & Bear, M. F. (2010). Visual experience induces long-term potentiation in the primary visual cortex. The Journal of Neuroscience, 30, 16304-16313. https://doi.org/10.1523/JNEUROSCI.4333-10.2010
Cooke, S. F., & Bear, M. F. (2012). Stimulus-selective response plasticity in the visual cortex: An assay for the assessment of pathophysiology and treatment of cognitive impairment associated with psychiatric disorders. Biological Psychiatry, 71, 487-495. https://doi.org/10.1016/j.biopsych.2011.09.006
Darmani, G., Bergmann TO, Butts Pauly, K., Caskey, C. F., de Lecea, L., Fomenko, A., Fouragnan, E., Legon, W., Murphy, K. R., Nandi, T., Phipps, M. A., Pinton, G., Ramezanpour, H., Sallet, J., Yaakub, S. N., Yoo, S. S., & Chen, R. (2022). Non-invasive transcranial ultrasound stimulation for neuromodulation. Clinical Neurophysiology, 135, 51-73. https://doi.org/10.1016/j.clinph.2021.12.010
Dias, J. W., Mcclaskey, C. M., Rumschlag, J. A., & Harris, K. C. (2022). SENSORY TETANIZATION TO INDUCE LTP-LIKE PLASTICITY 1 Sensory Tetanization to Induce LTP-Like Plasticity: A Review and Reassessment of the Approach. bioRxiv.
Dmochowski, J. P., Greaves, A. S., & Norcia, A. M. (2015). Maximally reliable spatial filtering of steady state visual evoked potentials. NeuroImage, 109, 63-72. https://doi.org/10.1016/J.NEUROIMAGE.2014.12.078
Ellis, R. E., Milne, E., & Levita, L. (2021). Reduced visual cortical plasticity in autism spectrum disorder. Brain Research Bulletin, 170, 11-21. https://doi.org/10.1016/j.brainresbull.2021.01.019
Goldberg, I., Graham, S. L., & Klistorner, A. I. (2002). Multifocal objective perimetry in the detection of glaucomatous field loss. American Journal of Ophthalmology, 133, 29-39. https://doi.org/10.1016/S0002-9394(01)01294-6
Humeau, Y., & Choquet, D. (2019). The next generation of approaches to investigate the link between synaptic plasticity and learning. Nature Neuroscience, 22, 1536-1543. https://doi.org/10.1038/s41593-019-0480-6
Jacob, M. S., Roach, B. J., Hamilton, H. K., Carrión, R. E., Belger, A., Duncan, E., Johannesen, J., Keshavan, M., Loo, S., Niznikiewicz, M., Addington, J., Bearden, C. E., Cadenhead, K. S., Cannon, T. D., Cornblatt, B. A., McGlashan, T. H., Perkins, D. O., Stone, W., Tsuang, M., … Mathalon, D. H. (2021). Visual cortical plasticity and the risk for psychosis: An interim analysis of the north American Prodrome Longitudinal Study. Schizophrenia Research, 230, 26-37. https://doi.org/10.1016/j.schres.2021.01.028
Ji, H., Chen, B., Petro, N. M., Yuan, Z., Zheng, N., & Keil, A. (2019). Functional source separation for EEG-fMRI fusion: Application to steady-state visual evoked potentials. Frontiers in Neurorobotics, 13, 24. https://doi.org/10.3389/FNBOT.2019.00024
Jung, N. H., Delvendahl, I., Kuhnke, N. G., Hauschke, D., Stolle, S., & Mall, V. (2010). Navigated transcranial magnetic stimulation does not decrease the variability of motor-evoked potentials. Brain Stimulation, 3, 87-94. https://doi.org/10.1016/J.BRS.2009.10.003
Kaestner, M., Evans, M. L., Chen, Y. D., & Norcia, A. M. (2022). Dynamics of absolute and relative disparity processing in human visual cortex. NeuroImage, 255, 119186. https://doi.org/10.1016/J.NEUROIMAGE.2022.119186
Kerwin, L. J., Keller, C. J., Wu, W., Narayan, M., & Etkin, A. (2018). Test-retest reliability of transcranial magnetic stimulation EEG evoked potentials. Brain Stimulation, 11, 536-544. https://doi.org/10.1016/J.BRS.2017.12.010
Kirk, I. J., McNair, N. A., Hamm, J. P., Clapp, W. C., Mathalon, D. H., Cavus, I., & Teyler, T. J. (2010). Long-term potentiation (LTP) of human sensory-evoked potentials. Wiley Interdisciplinary Reviews: Cognitive Science, 1, 766-773. https://doi.org/10.1002/wcs.62
Kirk, I. J., Spriggs, M. J., & Sumner, R. L. (2020). Human EEG and the mechanisms of memory: investigating long-term potentiation (LTP) in sensory-evoked potentials. https://doi.org/10.1080/03036758.2020.1780274
Lauritzen, L., Jørgensen, M. H., & Michaelsen, K. F. (2004). Test-retest reliability of swept visual evoked potential measurements of infant visual acuity and contrast sensitivity. Pediatric Research, 554(55), 701-708. https://doi.org/10.1203/01.pdr.0000113769.44799.02
Leontiev, O., & Buxton, R. B. (2007). Reproducibility of BOLD, perfusion, and CMRO2 measurements with calibrated-BOLD fMRI. NeuroImage, 35, 175-184. https://doi.org/10.1016/J.NEUROIMAGE.2006.10.044
Luck, S. J. (2014). An Introduction to the event-related potential technique (2nd ed.). MIT press.
Malmqvist, L., De Santiago, L., Fraser, C., Klistorner, A., & Hamann, S. (2016). Exploring the methods of data analysis in multifocal visual evoked potentials. Documenta Ophthalmologica, 133, 41-48. https://doi.org/10.1007/S10633-016-9546-X/FIGURES/4
Mast, J., & Victor, J. D. (1991). Fluctuations of steady-state VEPs: Interaction of driven evoked potentials and the EEG. Electroencephalography and Clinical Neurophysiology, 78, 389-401. https://doi.org/10.1016/0013-4694(91)90100-I
Montgomery, D. P., Hayden, D. J., Chaloner, F. A., Cooke, S. F., & Bear, M. F. (2022). Stimulus-selective response plasticity in primary visual cortex: Progress and puzzles. Frontiers in Neural Circuits, 15, 815554. https://doi.org/10.3389/fncir.2021.815554
Norcia, A. M., Gregory Appelbaum, L., Ales, J. M., Cottereau, B. R., & Rossion, B. (2015). The steady-state visual evoked potential in vision research: A review. Journal of Vision, 15, 1-46. https://doi.org/10.1167/15.6.4
Normann, C., Schmitz, D., Fürmaier, A., Döing, C., & Bach, M. (2007). Long-term plasticity of visually evoked potentials in humans is altered in major depression. Biological Psychiatry, 62, 373-380. https://doi.org/10.1016/j.biopsych.2006.10.006
Rösler, K. M., Roth, D. M., & Magistris, M. R. (2008). Trial-to-trial size variability of motor-evoked potentials. A study using the triple stimulation technique. Experimental Brain Research, 187, 51-59. https://doi.org/10.1007/S00221-008-1278-Z/TABLES/3
Sanders, P. J., Thompson, B., Corballis, P. M., Maslin, M., & Searchfield, G. D. (2018). A review of plasticity induced by auditory and visual tetanic stimulation in humans. The European Journal of Neuroscience, 48, 2084-2097. https://doi.org/10.1111/EJN.14080
Sumner, R. L., Spriggs, M. J., Muthukumaraswamy, S. D., & Kirk, I. J. (2020). The role of Hebbian learning in human perception: A methodological and theoretical review of the human visual long-term potentiation paradigm. Neuroscience and Biobehavioral Reviews, 115, 220-237. https://doi.org/10.1016/J.NEUBIOREV.2020.03.013
Tang, Y., & Norcia, A. M. (1995). An adaptive filter for steady-state evoked responses. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section, 96, 268-277. https://doi.org/10.1016/0168-5597(94)00309-3
Teyler, T. J., Hamm, J. P., Clapp, W. C., Johnson, B. W., Corballis, M. C., & Kirk, I. J. (2005). Long-term potentiation of human visual evoked responses. The European Journal of Neuroscience, 21, 2045-2050.
Thut, G., & Pascual-Leone, A. (2010). A review of combined TMS-EEG studies to characterize lasting effects of repetitive TMS and assess their usefulness in cognitive and clinical neuroscience. Brain Topography, 22, 219-232. https://doi.org/10.1007/s10548-009-0115-4
Trevino, R. C., Majcher, C. E., Henry, A. M., Rodriguez, M., & Sponsel, W. E. (2018). Visual evoked potential repeatability using the Diopsys NOVA LX fixed protocol in normal older adults. Clinical Ophthalmology, 12, 1713-1729. https://doi.org/10.2147/OPTH.S166211
Valstad, M., Moberget, T., Roelfs, D., Slapø, N. B., Timpe, C. M. F., Beck, D., Richard, G., Saether, L. S., Haatveit, B., Skaug, K. A., Nordvik, J. E., Hatlestad-Hall, C., Einevoll, G. T., Mäki-Marttunen, T., Westlye, L. T., Jönsson, E. G., Andreassen, O. A., & Elvsåshagen, T. (2020). Experience-dependent modulation of the visual evoked potential: Testing effect sizes, retention over time, and associations with age in 415 healthy individuals. NeuroImage, 223, 117302. https://doi.org/10.1016/j.neuroimage.2020.117302
Van Doren, J., Langguth, B., & Schecklmann, M. (2015). TMS-related potentials and artifacts in combined TMS-EEG measurements: Comparison of three different TMS devices. Neurophysiologie Clinique/Clinical Neurophysiology, 45, 159-166. https://doi.org/10.1016/J.NEUCLI.2015.02.002
Willeford, K. T., Ciuffreda, K. J., & Yadav, N. K. (2013). Effect of test duration on the visual-evoked potential (VEP) and alpha-wave responses. Documenta Ophthalmologica, 126, 105-115. https://doi.org/10.1007/S10633-012-9363-9/FIGURES/3
Wilson, J. F., Lodhia, V., Courtney, D. P., Kirk, I. J., & Hamm, J. P. (2017). Evidence of hyper-plasticity in adults with Autism Spectrum Disorder. Research in Autism Spectrum Disorder, 43-44, 40-52. https://doi.org/10.1016/j.rasd.2017.09.005