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A motor unit consists of a motoneurone and the multiple muscle fibres that it innervates, and forms the final neural pathway that influences movement. Discharge of motor units is altered (decreased discharge rate and/or cessation of firing; and increased discharge rate and/or recruitment of new units) during matched-force contractions with pain. This is thought to be mediated by nociceptive (pain) input on motoneurones, as demonstrated in animal studies. It is also possible that motoneurone excitability is altered by pain related descending inputs, that these changes persist after noxious stimuli cease, and that direct nociceptive input is not necessary to induce pain related changes in movement. We aimed to determine whether anticipation of pain (descending pain related inputs without nociceptor discharge) alters motor unit discharge, and to observe motor unit discharge recovery after pain has ceased. Motor unit discharge was recorded with fine-wire electrodes in the quadriceps of 9 volunteers. Subjects matched isometric knee-extension force during anticipation of pain (anticipation: electrical shocks randomly applied over the infrapatellar fat-pad); pain (hypertonic saline injected into the fat-pad); and 3 intervening control conditions. Discharge rate of motor units decreased during pain (P<.001) and anticipation (P<.01) compared with control contractions. De-recruitment of 1 population of units and new recruitment of another population were observed during both anticipation and pain; some changes in motor unit recruitment persisted after pain ceased. This challenges the fundamental theory that pain-related changes in muscle activity result from direct nociceptor discharge, and provides a mechanism that may underlie long-term changes in movement/chronicity in some musculoskeletal conditions.
Pubmed ID: 22209423
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THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. The NeuroLOG consortium is addressing: *Management and access of partly structured data, heterogeneous and distributed in an open environment. *Access control and protection of private medical data. *Control of workflows implied in complex computing process on grid infrastructures. *Extraction and quantification of relevant parameters for different pathologies: Multiple sclerosis, Brain Vascular Stroke, Brain tumors Four application pipelines have been proposed in the context of the project. The pipelines are formalized using the Scufl data flow language. *Multiple Sclerosis image analysis pipelines *Brain Stroke application pipeline (from GIN) *Stroke / tumours Anacom application pipeline (from IFR49) Different softwares developed and/or used in this project are presented.
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