2022
DOI: 10.1111/ejn.15677
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Effects of different modalities of afferent stimuli of the lumbo‐sacral area on control of lumbar paravertebral muscles

Abstract: Somatosensory feedback to the central nervous system is essential to plan, perform and refine spine motor control. However, the influence of somatosensory afferent input from the trunk on the motor output to trunk muscles has received little attention. The objective was to compare the effects of distinct modalities of afferent stimulation on the net motoneuron and corticomotor excitability of paravertebral muscles. Fourteen individuals were recruited. Modulation of corticospinal excitability (motor-evoked pote… Show more

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Cited by 3 publications
(6 citation statements)
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“…One study tested afferent conditioning (also known as short/long afferent inhibition for TMS hand studies) ( Massé-Alarie et al, 2022 ). Three peripheral stimulations were performed ((i) non-noxious and (ii) noxious (both with electrical current) and (iii) a muscle stimulation (with a figure of eight coil)) at ISIs of 20, 25, 30, 35, 40, 50, 60, 80, 100 and 200 ms prior to TMS.…”
Section: Resultsmentioning
confidence: 99%
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“…One study tested afferent conditioning (also known as short/long afferent inhibition for TMS hand studies) ( Massé-Alarie et al, 2022 ). Three peripheral stimulations were performed ((i) non-noxious and (ii) noxious (both with electrical current) and (iii) a muscle stimulation (with a figure of eight coil)) at ISIs of 20, 25, 30, 35, 40, 50, 60, 80, 100 and 200 ms prior to TMS.…”
Section: Resultsmentioning
confidence: 99%
“…Intracortical inhibitory and facilitatory circuits can be probed with paired-pulse TMS protocols and have been well documented in hand muscles ( Reis et al, 2008 ). Similar TMS protocols have been applied while testing M1 representation of low back muscles ( Massé-Alarie et al, 2016b ; Elgueta-Cancino et al, 2019 ; Massé-Alarie et al, 2022 ). To better understand the neural circuits underlying TMS outcomes, pharmacological agents and epidural recording have been combined to TMS ( Ziemann, 2015 ; Di Lazzaro et al, 2018 ).…”
Section: Discussionmentioning
confidence: 99%
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“…Using an off-line custom-made script in MATLAB, R1 signal was bandpass filtered (70–500 Hz) to reduce the EMG noise elicited by the muscle tap realized at the vicinity of the recording electrodes. Similar techniques were used for limiting the impact of peripheral stimulations (electrical, magnetic) on EMG of lumbar back muscles ( Massé-Alarie et al, 2019 , 2022 ). Considering the identification of individual R1 (elicited by a single muscle tap) may be difficult in some participants because of the small signal-to-noise ratio, the average of 15 EMG traces per condition was used to ease the identification of the motor response ( Dimitrijevic et al, 1980 ).…”
Section: Methodsmentioning
confidence: 99%