000147140 001__ 147140
000147140 005__ 20260210085402.0
000147140 0247_ $$2doi$$a10.1088/1741-2552/ad8835
000147140 0248_ $$2sideral$$a140906
000147140 037__ $$aART-2024-140906
000147140 041__ $$aeng
000147140 100__ $$aZicher, Blanka
000147140 245__ $$aChanges in high-frequency neural inputs to muscles during movement cancellation
000147140 260__ $$c2024
000147140 5060_ $$aAccess copy available to the general public$$fUnrestricted
000147140 5203_ $$aObjective. 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.
000147140 536__ $$9info:eu-repo/grantAgreement/EC/HORIZON EUROPE/101077693/EU/Extracting the Human Motor Null Space from Muscles - A new framework to measure human neural activity/ECHOES$$9info:eu-repo/grantAgreement/EC/H2020/810346/EU/Natural Integration of Bionic Limbs via Spinal Interfacing/Natural BionicS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 810346-Natural BionicS$$9info:eu-repo/grantAgreement/EC/H2020/899626/EU/NIMA: Non-invasive Interface for Movement Augmentation/NIMA$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 899626-NIMA$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2021-031905-I
000147140 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000147140 590__ $$a3.8$$b2024
000147140 592__ $$a1.127$$b2024
000147140 591__ $$aNEUROSCIENCES$$b95 / 314 = 0.303$$c2024$$dQ2$$eT1
000147140 593__ $$aBiomedical Engineering$$c2024$$dQ1
000147140 591__ $$aENGINEERING, BIOMEDICAL$$b48 / 124 = 0.387$$c2024$$dQ2$$eT2
000147140 593__ $$aCellular and Molecular Neuroscience$$c2024$$dQ2
000147140 594__ $$a7.8$$b2024
000147140 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000147140 700__ $$aAvrillon, Simon
000147140 700__ $$0(orcid)0000-0001-8439-151X$$aIbáñez, Jaime$$uUniversidad de Zaragoza
000147140 700__ $$aFarina, Dario
000147140 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000147140 773__ $$g21, 5 (2024), 056039 [12 pp.]$$pJ. neural eng.$$tJournal of Neural Engineering$$x1741-2560
000147140 8564_ $$s2220349$$uhttps://zaguan.unizar.es/record/147140/files/texto_completo.pdf$$yVersión publicada
000147140 8564_ $$s1426977$$uhttps://zaguan.unizar.es/record/147140/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000147140 909CO $$ooai:zaguan.unizar.es:147140$$particulos$$pdriver
000147140 951__ $$a2026-02-10-08:36:34
000147140 980__ $$aARTICLE