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Research ArticleNew Research, Sensory and Motor Systems

Seeing Your Foot Move Changes Muscle Proprioceptive Feedback

Rochelle Ackerley, Marie Chancel, Jean-Marc Aimonetti, Edith Ribot-Ciscar and Anne Kavounoudias
eNeuro 4 March 2019, 6 (2) ENEURO.0341-18.2019; https://doi.org/10.1523/ENEURO.0341-18.2019
Rochelle Ackerley
1Aix-Marseille Université, Centre National de la Recherche Scientifique, Laboratoire de Neurosciences Sensorielles et Cognitives - UMR 7260, Marseille 13331, France
2Department of Physiology, University of Gothenburg, Göteborg 40530, Sweden
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  • ORCID record for Rochelle Ackerley
Marie Chancel
1Aix-Marseille Université, Centre National de la Recherche Scientifique, Laboratoire de Neurosciences Sensorielles et Cognitives - UMR 7260, Marseille 13331, France
3Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden
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Jean-Marc Aimonetti
1Aix-Marseille Université, Centre National de la Recherche Scientifique, Laboratoire de Neurosciences Sensorielles et Cognitives - UMR 7260, Marseille 13331, France
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Edith Ribot-Ciscar
1Aix-Marseille Université, Centre National de la Recherche Scientifique, Laboratoire de Neurosciences Sensorielles et Cognitives - UMR 7260, Marseille 13331, France
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Anne Kavounoudias
1Aix-Marseille Université, Centre National de la Recherche Scientifique, Laboratoire de Neurosciences Sensorielles et Cognitives - UMR 7260, Marseille 13331, France
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  • Figure 1.
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    Figure 1.

    Behavioral effects of visual information on foot movement amplitude discrimination. A, An example of the mean psychometric curves for a single participant, where the slope is significantly steeper (lower amplitude discrimination threshold (Discrim.thres.)) when they saw their foot moving. B, For the group (n = 15 participants, shown in individual bars), there was a significant decrease in the discrimination threshold of movement amplitude when the participant watched their foot moving, as compared to having their eyes closed and only using proprioceptive information (*p < 0.05 and the mean discrimination levels are shown as boxes).

    Figure Contributions: Marie Chancel performed the experiment. Marie Chancel and Anne Kavounoudias analyzed the data.
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    Figure 2.

    An example of muscle afferent firing, physiological measures, and the differences between conditions in a single participant. A, An example of three consecutive sinusoid movement cycles applied during each of the four visual/attention conditions. The minimum and maximum firing rates were extracted (gray arrows at the end of each example) and this mean firing rate change (δ) was used to quantify the dynamic response of the muscle afferent, for each condition. In this example, a microneurographic recording was made from a primary muscle afferent (Ia) arising from extensor digitorum longus (EDL) muscle. B, For this muscle afferent, a clear difference in the δ can be seen between when the participant had visual or no visual information (Histograms are mean values and bars are standard deviations per condition), regardless of the attention condition. Inst. freq: instantaneous frequency; imp.: impules.

    Figure Contributions: Rochelle Ackerley, Edith Ribot-Ciscar and Jean-Marc Aimonetti performed the experiments. Rochelle Ackerley, Edith Ribot-Ciscar and Anne Kavounoudias analyzed the data.
  • Figure 3.
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    Figure 3.

    The mean effect of visual information and attention on muscle afferent movement encoding. The group data of Ia muscle afferents (n = 16) show a significant difference in the dynamic response of muscle afferents, as measured by the change in the minimum-to-maximum firing rates (δ), which was normalized via z-transform (means and SEMs are shown). A main effect was found for having visual information, where the δ was significantly lower with visual information, but no significant difference was found in the response between attention conditions, nor the interaction between vision and attention. Inst. freq. : instantaneous frequency.

    Figure Contributions: Rochelle Ackerley, Edith Ribot-Ciscar and Jean-Marc Aimonetti performed the experiments. Rochelle Ackerley, Edith Ribot-Ciscar and Anne Kavounoudias analyzed the data.

Tables

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    Table 1.

    Data structure for statistical analyses

    Data structureType of testPower
    aBehavioral amplitude discrimination level (n = 15 participants)GzLM0.5
    bEMG and EDA data tests per condition/variable (n = 15 participants) for behavioral experimentStudent’s paired t test0.5
    cMicroneurography data for change in muscle afferent firing over conditions (n = 16 units)Repeated measures two-way ANOVA0.6
    dEMG and EDA data tests per variable (n = 16 recordings) for microneurography experimentRepeated measures two-way ANOVA0.6
    • Type and power of the statistical tests carried out in the psychophysics and microneurography experiments. Letters in the left column refer to values within the Results section.

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    Table 2.

    Mean values and statistics for the physiological measures during microneurography experiment

    EMG (mean ± SEM)EDA (mean ± SEM)
    No vision, relax14,105 ± 292745,857 ± 1537
    No vision, attention14,073 ± 292545,828 ± 1502
    Vision, relax14,105 ± 289945,820 ± 1555
    Vision, attention14,093 ± 289745,723 ± 1556
    ANOVA main effect visionF(1,15) = 3.45, p = 0.081, partial η2 = 0.20F(1,15) = 0.31, p = 0.568, partial η2 = 0.02
    ANOVA main effect attentionF(1,15) = 0.34, p = 0.857, partial η2 = 0.01F(1,15) = 0.18, p = 0.679, partial η2 = 0.01
    ANOVA interaction vision × attentionF(1,15) = 0.17, p = 0.683, partial η2 = 0.01F(1,15) = 0.12, p = 0.739, partial η2 = 0.01
    • The mean values for the EMG and EDA, with the SEM, as shown for the microneurography experiment. The EMG and electrodermal responses are shown in arbitrary units (area under the curve) for the duration of the sinusoidal cycles per condition. There was no significant effect of vision, attention, or the interaction of these, as shown in the ANOVAs, where the partial η2 shows the size effects.

    • View popup
    Table 3.

    Mean values and statistics for the physiological measures during behavioral experiment

    EMG TA
    (mean ± SEM)
    EMG GS
    (mean ± SEM)
    EDA
    (mean ± SEM)
    Vision9330 ± 11468478 ± 17668217 ± 1595
    No vision9237 ± 10768343 ± 10767827 ± 1237
    Paired t test vision vs no visiont(13) = 0.92, p = 0.385, partial η2 = 0.06t(13) = 1.82, p = 0.092, partial η2 = 0.20t(13) = 0.64, p = 0.531, partial η2 = 0.03
    • The mean values for the EMG and EDA, with the SEM, as shown for the behavioral experiment. The EMG and electrodermal responses are shown in arbitrary units (area under the curve) for the total number of trials per condition. There was no significant effect of vision, as shown in the ANOVAs, where the partial η2 shows the size effects.

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Seeing Your Foot Move Changes Muscle Proprioceptive Feedback
Rochelle Ackerley, Marie Chancel, Jean-Marc Aimonetti, Edith Ribot-Ciscar, Anne Kavounoudias
eNeuro 4 March 2019, 6 (2) ENEURO.0341-18.2019; DOI: 10.1523/ENEURO.0341-18.2019

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Seeing Your Foot Move Changes Muscle Proprioceptive Feedback
Rochelle Ackerley, Marie Chancel, Jean-Marc Aimonetti, Edith Ribot-Ciscar, Anne Kavounoudias
eNeuro 4 March 2019, 6 (2) ENEURO.0341-18.2019; DOI: 10.1523/ENEURO.0341-18.2019
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Keywords

  • fusimotor drive
  • human
  • kinesthesia
  • movement perception
  • muscle proprioception

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