Investigating the Effect of Persistent Inward Currents on Motor Unit Firing Rates and Beta-Band Coherence in a Model of the First Dorsal Interosseous Muscle
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|Title:||Investigating the Effect of Persistent Inward Currents on Motor Unit Firing Rates and Beta-Band Coherence in a Model of the First Dorsal Interosseous Muscle||Authors:||Senneff, Sageanne; McManus, Lara M.; Lowery, Madeleine M.||Permanent link:||http://hdl.handle.net/10197/11279||Date:||27-Jul-2019||Online since:||2020-02-13T11:56:04Z||Abstract:||Neuromodulatory drive resulting in the generation of persistent inward currents (PICs) within motoneuron dendrites has been demonstrated to introduce nonlinearities into the motoneuron input-output function for a given motor command. It is less understood, however, as to what role PICs play during voluntary contractions or on the correlation between motoneuron firings arising as a result of common synaptic inputs to the motoneuron pool. To examine this, a biophysical model of the motoneuron pool representing the first dorsal interosseous (FDI) muscle was used to simulate the effects of PICs on motor unit firing patterns and beta-band (15-30 Hz) motor unit coherence at 20, 30, and 40 percent of maximum voluntary contraction (MVC). The contribution of PICs at each MVC was quantified by calculating the difference in the mean firing rate of each motoneuron within the pool and assessing changes in the mean firing rate distribution and motor unit coherence with and without PICs present. The results of the current study demonstrated that increased activation of PICs progressively reduced motor unit coherence, however, changes in coherence were modest when investigating activation levels consistent with experimentally observed mean motor unit firing rates in the FDI muscle during isometric voluntary contraction.||Funding Details:||European Research Council||metadata.dc.description.othersponsorship:||Insight Research Centre||Type of material:||Conference Publication||Publisher:||IEEE||Copyright (published version):||2019 IEEE||Keywords:||Neurosciences; Coherence; Force; Muscles; Biological system modeling; Calcium; Synchronization; Adaption models||DOI:||10.1109/embc.2019.8857534||Other versions:||https://embc.embs.org/2019/||Language:||en||Status of Item:||Peer reviewed||Conference Details:||The 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 23-27 July 2019|
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