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Naslov:Decoding firings of a large population of human motor units from high-density surface electromyogram in response to transcranial magnetic stimulation
Avtorji:ID Škarabot, Jakob (Avtor)
ID Ammann, Claudia (Avtor)
ID Balshaw, Thomas G. (Avtor)
ID Divjak, Matjaž (Avtor)
ID Urh, Filip (Avtor)
ID Murks, Nina (Avtor)
ID Foffani, Guglielmo (Avtor)
ID Holobar, Aleš (Avtor)
Datoteke:.pdf The_Journal_of_Physiology_-_2023_-_Skarabot_-_Decoding_firings_of_a_large_population_of_human_motor_units_from_high‐density.pdf (3,57 MB)
MD5: 66C71B835EBC6072753EEBC0EFC1BFC5
 
URL https://physoc.onlinelibrary.wiley.com/doi/10.1113/JP284043
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:We describe a novel application of methodology for high-density surface electromyography (HDsEMG) decomposition to identify motor unit (MU) firings in response to transcranial magnetic stimulation (TMS). The method is based on the MU filter estimation from HDsEMG decomposition with convolution kernel compensation during voluntary isometric contractions and its application to contractions elicited by TMS. First, we simulated synthetic HDsEMG signals during voluntary contractions followed by simulated motor evoked potentials (MEPs) recruiting an increasing proportion of the motor pool. The estimation of MU filters from voluntary contractions and their application to elicited contractions resulted in high (>90%) precision and sensitivity of MU firings during MEPs. Subsequently, we conducted three experiments in humans. From HDsEMG recordings in first dorsal interosseous and tibialis anterior muscles, we demonstrated an increase in the number of identified MUs during MEPs evoked with increasing stimulation intensity, low variability in the MU firing latency and a proportion of MEP energy accounted for by decomposition similar to voluntary contractions. A negative relationship between the MU recruitment threshold and the number of identified MU firings was exhibited during the MEP recruitment curve, suggesting orderly MU recruitment. During isometric dorsiflexion we also showed a negative association between voluntary MU firing rate and the number of firings of the identified MUs during MEPs, suggesting a decrease in the probability of MU firing during MEPs with increased background MU firing rate. We demonstrate accurate identification of a large population of MU firings in a broad recruitment range in response to TMS via non-invasive HDsEMG recordings. KEY POINTS: Transcranial magnetic stimulation (TMS) of the scalp produces multiple descending volleys, exciting motor pools in a diffuse manner. The characteristics of a motor pool response to TMS have been previously investigated with intramuscular electromyography (EMG), but this is limited in its capacity to detect many motor units (MUs) that constitute a motor evoked potential (MEP) in response to TMS. By simulating synthetic signals with known MU firing patterns, and recording high-density EMG signals from two human muscles, we show the feasibility of identifying firings of many MUs that comprise a MEP. We demonstrate the identification of firings of a large population of MUs in the broad recruitment range, up to maximal MEP amplitude, with fewer required stimuli compared to intramuscular EMG recordings. The methodology demonstrates an emerging possibility to study responses to TMS on a level of individual MUs in a non-invasive manner.
Ključne besede:transcranial magnetic stimulation, TMS, electromyiograms
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:29.10.2022
Datum sprejetja članka:17.03.2023
Datum objave:23.03.2023
Založnik:Wiley (Cambridge University Press)
Leto izida:2023
Št. strani:str. 1719-1744
Številčenje:Vol. 601, iss. 10
PID:20.500.12556/DKUM-88158 Novo okno
UDK:004.8
COBISS.SI-ID:148198915 Novo okno
DOI:10.1113/JP284043 Novo okno
ISSN pri članku:1469-7793
Avtorske pravice:© 2023 The Authors.
Datum objave v DKUM:10.04.2024
Število ogledov:598
Število prenosov:61
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Gradivo je del revije

Naslov:The journal of physiology
Skrajšan naslov:J. physiol.
Založnik:Cambridge University Press
ISSN:1469-7793
COBISS.SI-ID:515030553 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P2-0041-2020
Naslov:Računalniški sistemi, metodologije in inteligentne storitve

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:J2-1731-2019
Naslov:Dekompozicija sestavljenih mišičnih potencialov

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Versus Arthritis Foundation Fellowship
Številka projekta:22 569

Financer:EC - European Commission
Program financ.:HE
Številka projekta:101079392
Naslov:Hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders
Akronim:HybridNeuro

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Comunidad de Madrid fellowship
Številka projekta:2017-T2/BMD-5231

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Juan de la Cierva fellowship
Številka projekta:IJC2020-04 5437-I

Financer:Drugi - Drug financer ali več financerjev
Program financ.:‘la Caixa’ Foundation
Številka projekta:LCF/PR/HR20/52 400 012

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación (Spain)

Financer:EC - European Commission
Program financ.:European Regional Development Fund of the European Union
Številka projekta:PID2021-128623OB-I00

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:magnetna stimulacija, TMS, elektromiogrami


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