intermuscular coherence
Intermuscular Coherence is a measure to quantify correlations between the activity of two muscles, which is often assessed using electromyography. The correlations in muscle activity are quantified in frequency domain,Rosenberg, J. R., Amjad, A. M., Breeze, P., Brillinger, D. R., & Halliday, D. M. (1989). The Fourier approach to the identification of functional coupling between neuronal spike trains. Progress in Biophysics and Molecular Biology, 53(1), 1–31. and therefore referred to as intermuscular coherence.Farmer, S. F., Bremner, F. D., Halliday, D. M., Rosenberg, J. R., & Stephens, J. A. (1993). The frequency content of common synaptic inputs to motoneurones studied during voluntary isometric contraction in man. The Journal of Physiology, 470(1), 127–155
History
The synchronisation of motor units of a single muscle in animals and humans are known for decades. The early studies that investigated the relationship of EMG activity used time-domain cross-correlation to quantify common input.{{Cite journal|last1=Person|first1=R. S.|last2=Kudina|first2=L. P.|date=1968|title=Cross-correlation of electromyograms showing interference patterns|journal=Electroencephalography and Clinical Neurophysiology|volume=25|issue=1|pages=58–68|issn=0013-4694|pmid=4174784|doi=10.1016/0013-4694(68)90087-4}}{{Cite journal|last1=Kirkwood|first1=P. A.|last2=Sears|first2=T. A.|date=1978|title=The synaptic connexions to intercostal motoneurones as revealed by the average common excitation potential|journal=The Journal of Physiology|volume=275|pages=103–134|issn=0022-3751|pmc=1282535|pmid=633094|doi=10.1113/jphysiol.1978.sp012180}} The explicit notion of presence of synchrony between motor units of two different muscles was reported at a later time.Bremner, F. D., Baker, J. R., & Stephens, J. A. (1991). Correlation between the discharges of motor units recorded from the same and from different finger muscles in man. The Journal of Physiology, 432(1), 355–380. http://doi.org/10.1113/jphysiol.1991.sp018389 In the 1990s, coherence analysis was introduced to examine in frequency content of common input.
Physiology
Intermuscular coherence can be used to investigate the neural circuitry involved in motor control. Correlated muscle activity indicates common input to the motor unit pools of both muscles{{Cite journal|last1=Negro|first1=Francesco|last2=Farina|first2=Dario|date=2011-01-28|title=Linear transmission of cortical oscillations to the neural drive to muscles is mediated by common projections to populations of motoneurons in humans|journal=The Journal of Physiology|language=en|volume=589|issue=3|pages=629–637|doi=10.1113/jphysiol.2010.202473|issn=0022-3751|pmc=3055547|pmid=21135042}}{{Cite journal|last1=Boonstra|first1=Tjeerd W.|authorlink2=Michael Breakspear|last2=Breakspear|first2=Michael|date=2012|title=Neural mechanisms of intermuscular coherence: implications for the rectification of surface electromyography|journal=Journal of Neurophysiology|volume=107|issue=3|pages=796–807|doi=10.1152/jn.00066.2011|issn=1522-1598|pmid=22072508|hdl=1959.4/unsworks_49701|url=https://unsworks.unsw.edu.au/bitstreams/95f2c438-0784-459e-a054-e40df9d161ce/download |hdl-access=free}} and reflects shared neural pathways (including cortical, subcortical and spinal) that contribute to muscle activity and movement.{{Cite journal|last1=Boonstra|first1=Tjeerd W.|last2=Farmer|first2=Simon F.|last3=Breakspear|first3=Michael|date=2016|title=Using Computational Neuroscience to Define Common Input to Spinal Motor Neurons|journal=Frontiers in Human Neuroscience|language=English|volume=10|pages=313|doi=10.3389/fnhum.2016.00313|pmid=27445753|pmc=4914567|issn=1662-5161|doi-access=free}} The strength of intermuscular coherence is dependent on the relationship between muscles and is generally stronger between muscle pairs that are anatomically and functionally closely related.{{Cite journal|last1=Gibbs|first1=J.|last2=Harrison|first2=L. M.|last3=Stephens|first3=J. A.|date=1995-05-15|title=Organization of inputs to motoneurone pools in man|journal=The Journal of Physiology|volume=485 ( Pt 1)|issue=Pt 1 |pages=245–256|issn=0022-3751|pmc=1157987|pmid=7658378|doi=10.1113/jphysiol.1995.sp020727}}{{Cite journal|last1=Kerkman|first1=Jennifer N.|last2=Daffertshofer|first2=Andreas|last3=Gollo|first3=Leonardo L.|last4=Breakspear|first4=Michael|last5=Boonstra|first5=Tjeerd W.|date=2018|title=Network structure of the human musculoskeletal system shapes neural interactions on multiple time scales|journal=Science Advances|volume=4|issue=6|pages=eaat0497|doi=10.1126/sciadv.aat0497|issn=2375-2548|pmc=6021138|pmid=29963631|bibcode=2018SciA....4..497K}} Intermuscular coherence can therefore be used to identify impairments in motor pathways.{{Cite journal|last1=Nishimura|first1=Yukio|last2=Morichika|first2=Yosuke|last3=Isa|first3=Tadashi|date=2009-03-01|title=A subcortical oscillatory network contributes to recovery of hand dexterity after spinal cord injury|journal=Brain|volume=132|issue=3|pages=709–721|doi=10.1093/brain/awn338|issn=0006-8950|pmc=2664448|pmid=19155271}}{{Cite journal|last1=Fisher|first1=Karen M.|last2=Zaaimi|first2=Boubker|last3=Williams|first3=Timothy L.|last4=Baker|first4=Stuart N.|last5=Baker|first5=Mark R.|date=2012-09-01|title=Beta-band intermuscular coherence: a novel biomarker of upper motor neuron dysfunction in motor neuron disease|journal=Brain|volume=135|issue=9|pages=2849–2864|doi=10.1093/brain/aws150|issn=0006-8950|pmc=3437020|pmid=22734124}}
See also
References
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External links
- [http://neurospec.org/ Neurspec Toolbox for MATLAB]
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