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Human Flicker Fusion Correlates With Physiological Measures of Magnocellular Neural Efficiency

The rapidity with which the visual system can recover from stimulation in order to respond again has important implications for efficiently processing environmental stimuli in real time. To date, there has been little integration of the human psychophysical and physiological research underlying the...

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Autores principales: Brown, Alyse, Corner, Molly, Crewther, David P., Crewther, Sheila G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960665/
https://www.ncbi.nlm.nih.gov/pubmed/29867406
http://dx.doi.org/10.3389/fnhum.2018.00176
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author Brown, Alyse
Corner, Molly
Crewther, David P.
Crewther, Sheila G.
author_facet Brown, Alyse
Corner, Molly
Crewther, David P.
Crewther, Sheila G.
author_sort Brown, Alyse
collection PubMed
description The rapidity with which the visual system can recover from stimulation in order to respond again has important implications for efficiently processing environmental stimuli in real time. To date, there has been little integration of the human psychophysical and physiological research underlying the neural mechanisms contributing to temporal limits on human visual perception. Hence, we investigated the relationship between achromatic flicker fusion frequency and temporal analysis of the magnocellular (M) and parvocellular (P) contributions to the achromatic non-linear multifocal Visual Evoked Potential (mfVEP) responses recorded from occipital scalp (Oz). It was hypothesized, on the basis of higher temporal cut-off frequencies reported for primate M vs. P neurons, that sinusoidal flicker fusion frequencies would negatively correlate with the amplitude of M- but not P-generated non-linearities of the mfVEP. This hypothesis was borne out in 72 typically developing young adults using a four-way forced choice sinusoidal flicker fusion task: amplitudes of all non-linearities that demonstrated a clear M-generated component correlated negatively with flicker thresholds. The strongest of these correlations were demonstrated by the main M non-linearity component (K2.1(N70−P100)) for both high contrast (r = −0.415, n = 64, p < 0.0005) and low contrast (r = −0.345 n = 63, p < 0.002) conditions, indicating that higher achromatic flicker fusion threshold is linked to a more efficient (smaller second order kernels) M system. None of the peaks related to P activity showed significant correlations. These results establish flicker thresholds as a functional correlate of M-pathway function as can be observed in the non-linear analysis of mfVEP.
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spelling pubmed-59606652018-06-04 Human Flicker Fusion Correlates With Physiological Measures of Magnocellular Neural Efficiency Brown, Alyse Corner, Molly Crewther, David P. Crewther, Sheila G. Front Hum Neurosci Neuroscience The rapidity with which the visual system can recover from stimulation in order to respond again has important implications for efficiently processing environmental stimuli in real time. To date, there has been little integration of the human psychophysical and physiological research underlying the neural mechanisms contributing to temporal limits on human visual perception. Hence, we investigated the relationship between achromatic flicker fusion frequency and temporal analysis of the magnocellular (M) and parvocellular (P) contributions to the achromatic non-linear multifocal Visual Evoked Potential (mfVEP) responses recorded from occipital scalp (Oz). It was hypothesized, on the basis of higher temporal cut-off frequencies reported for primate M vs. P neurons, that sinusoidal flicker fusion frequencies would negatively correlate with the amplitude of M- but not P-generated non-linearities of the mfVEP. This hypothesis was borne out in 72 typically developing young adults using a four-way forced choice sinusoidal flicker fusion task: amplitudes of all non-linearities that demonstrated a clear M-generated component correlated negatively with flicker thresholds. The strongest of these correlations were demonstrated by the main M non-linearity component (K2.1(N70−P100)) for both high contrast (r = −0.415, n = 64, p < 0.0005) and low contrast (r = −0.345 n = 63, p < 0.002) conditions, indicating that higher achromatic flicker fusion threshold is linked to a more efficient (smaller second order kernels) M system. None of the peaks related to P activity showed significant correlations. These results establish flicker thresholds as a functional correlate of M-pathway function as can be observed in the non-linear analysis of mfVEP. Frontiers Media S.A. 2018-05-14 /pmc/articles/PMC5960665/ /pubmed/29867406 http://dx.doi.org/10.3389/fnhum.2018.00176 Text en Copyright © 2018 Brown, Corner, Crewther and Crewther. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Brown, Alyse
Corner, Molly
Crewther, David P.
Crewther, Sheila G.
Human Flicker Fusion Correlates With Physiological Measures of Magnocellular Neural Efficiency
title Human Flicker Fusion Correlates With Physiological Measures of Magnocellular Neural Efficiency
title_full Human Flicker Fusion Correlates With Physiological Measures of Magnocellular Neural Efficiency
title_fullStr Human Flicker Fusion Correlates With Physiological Measures of Magnocellular Neural Efficiency
title_full_unstemmed Human Flicker Fusion Correlates With Physiological Measures of Magnocellular Neural Efficiency
title_short Human Flicker Fusion Correlates With Physiological Measures of Magnocellular Neural Efficiency
title_sort human flicker fusion correlates with physiological measures of magnocellular neural efficiency
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960665/
https://www.ncbi.nlm.nih.gov/pubmed/29867406
http://dx.doi.org/10.3389/fnhum.2018.00176
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