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    <subfield code="2">doi</subfield>
    <subfield code="a">10.1088/1741-2552/ad8835</subfield>
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    <subfield code="2">sideral</subfield>
    <subfield code="a">140906</subfield>
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    <subfield code="a">ART-2024-140906</subfield>
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    <subfield code="a">eng</subfield>
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  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Zicher, Blanka</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Changes in high-frequency neural inputs to muscles during movement cancellation</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2024</subfield>
  </datafield>
  <datafield tag="506" ind1="0" ind2=" ">
    <subfield code="a">Access copy available to the general public</subfield>
    <subfield code="f">Unrestricted</subfield>
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  <datafield tag="520" ind1="3" ind2=" ">
    <subfield code="a">Objective. Cortical beta (13–30 Hz) and gamma (30–60 Hz) oscillations are prominent in the motor cortex and are known to be transmitted to the muscles despite their limited direct impact on force modulation. However, we currently lack fundamental knowledge about the saliency of these oscillations at spinal level. Here, we developed an experimental approach to examine the modulations in high-frequency inputs to motoneurons under different motor states while maintaining a stable force, thus constraining behaviour. Approach. Specifically, we acquired brain and muscle activity during a ‘GO’/’NO-GO’ task. In this experiment, the effector muscle for the task (tibialis anterior) was kept tonically active during the trials, while participants (N = 12) reacted to sequences of auditory stimuli by either keeping the contraction unaltered (‘NO-GO’ trials), or by quickly performing a ballistic contraction (‘GO’ trials). Motor unit (MU) firing activity was extracted from high-density surface and intramuscular electromyographic signals, and the changes in its spectral contents in the ‘NO-GO’ trials were analysed. Main results. We observed an increase in beta and low-gamma (30–45 Hz) activity after the ‘NO-GO’ cue in the MU population activity. These results were in line with the brain activity changes measured with electroencephalography. These increases in power occur without relevant alterations in force, as behaviour was restricted to a stable force contraction. Significance. We show that modulations in motor cortical beta and gamma rhythms are also present in muscles when subjects cancel a prepared ballistic action while holding a stable contraction in a ‘GO’/’NO-GO’ task. This occurs while force levels produced by the task effector muscle remain largely unaltered. Our results suggest that muscle recordings are informative also about motor states that are not force-control signals. This opens up new potential use cases of peripheral neural interfaces.</subfield>
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  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="9">info:eu-repo/grantAgreement/EC/HORIZON EUROPE/101077693/EU/Extracting the Human Motor Null Space from Muscles - A new framework to measure human neural activity/ECHOES</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/EC/H2020/810346/EU/Natural Integration of Bionic Limbs via Spinal Interfacing/Natural BionicS</subfield>
    <subfield code="9">This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 810346-Natural BionicS</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/EC/H2020/899626/EU/NIMA: Non-invasive Interface for Movement Augmentation/NIMA</subfield>
    <subfield code="9">This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 899626-NIMA</subfield>
    <subfield code="9">info:eu-repo/grantAgreement/ES/MICINN/RYC2021-031905-I</subfield>
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  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="9">info:eu-repo/semantics/openAccess</subfield>
    <subfield code="a">by</subfield>
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/deed.es</subfield>
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  <datafield tag="590" ind1=" " ind2=" ">
    <subfield code="a">3.8</subfield>
    <subfield code="b">2024</subfield>
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  <datafield tag="591" ind1=" " ind2=" ">
    <subfield code="a">NEUROSCIENCES</subfield>
    <subfield code="b">95 / 314 = 0.303</subfield>
    <subfield code="c">2024</subfield>
    <subfield code="d">Q2</subfield>
    <subfield code="e">T1</subfield>
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    <subfield code="a">ENGINEERING, BIOMEDICAL</subfield>
    <subfield code="b">48 / 124 = 0.387</subfield>
    <subfield code="c">2024</subfield>
    <subfield code="d">Q2</subfield>
    <subfield code="e">T2</subfield>
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    <subfield code="a">1.127</subfield>
    <subfield code="b">2024</subfield>
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  <datafield tag="593" ind1=" " ind2=" ">
    <subfield code="a">Biomedical Engineering</subfield>
    <subfield code="c">2024</subfield>
    <subfield code="d">Q1</subfield>
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  <datafield tag="593" ind1=" " ind2=" ">
    <subfield code="a">Cellular and Molecular Neuroscience</subfield>
    <subfield code="c">2024</subfield>
    <subfield code="d">Q2</subfield>
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  <datafield tag="594" ind1=" " ind2=" ">
    <subfield code="a">7.8</subfield>
    <subfield code="b">2024</subfield>
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    <subfield code="a">info:eu-repo/semantics/article</subfield>
    <subfield code="v">info:eu-repo/semantics/publishedVersion</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Avrillon, Simon</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Ibáñez, Jaime</subfield>
    <subfield code="u">Universidad de Zaragoza</subfield>
    <subfield code="0">(orcid)0000-0001-8439-151X</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Farina, Dario</subfield>
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  <datafield tag="710" ind1="2" ind2=" ">
    <subfield code="1">5008</subfield>
    <subfield code="2">800</subfield>
    <subfield code="a">Universidad de Zaragoza</subfield>
    <subfield code="b">Dpto. Ingeniería Electrón.Com.</subfield>
    <subfield code="c">Área Teoría Señal y Comunicac.</subfield>
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  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="g">21, 5 (2024), 056039 [12 pp.]</subfield>
    <subfield code="p">J. neural eng.</subfield>
    <subfield code="t">Journal of Neural Engineering</subfield>
    <subfield code="x">1741-2560</subfield>
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    <subfield code="s">2220349</subfield>
    <subfield code="u">http://zaguan.unizar.es/record/147140/files/texto_completo.pdf</subfield>
    <subfield code="y">Versión publicada</subfield>
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    <subfield code="p">articulos</subfield>
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    <subfield code="a">2026-02-17-20:35:35</subfield>
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