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By using novel methods for the decomposition of multichannel surface EMG, we provide a systematic analysis of the discharge properties of motor units in nine ET patients, with concurrent recordings of EEG activity. This analysis allowed us to infer the contribution of common synaptic inputs to motor neurons in ET. Motor unit short-term synchronization was significantly greater in ET patients than in healthy subjects. Furthermore, the strong association between the degree of synchronization and the peak in coherence between motor unit spike trains at the tremor frequency indicated that the high synchronization levels were generated mainly by common synaptic inputs specifically at the tremor frequency. The coherence between EEG and motor unit spike trains demonstrated the presence of common cortical input to the motor neurons at the tremor frequency. Nonetheless, the strength of this input was uncorrelated to the net common synaptic input at the tremor frequency, suggesting a contribution of spinal afferents or secondary supraspinal pathways in projecting common input at the tremor frequency. These results provide the first systematic analysis of the neural drive to the muscle in ET and elucidate some of its characteristics that determine pathological tremulous muscle activity.<\/jats:p>","DOI":"10.1152\/jn.00531.2014","type":"journal-article","created":{"date-parts":[[2014,10,2]],"date-time":"2014-10-02T08:31:26Z","timestamp":1412238686000},"page":"182-191","source":"Crossref","is-referenced-by-count":61,"title":["Influence of common synaptic input to motor neurons on the neural drive to muscle in essential tremor"],"prefix":"10.1152","volume":"113","author":[{"given":"Juan A.","family":"Gallego","sequence":"first","affiliation":[{"name":"Neuroengineering and Cognitive Science Group, Centre for Automation and Robotics, Consejo Superior de Investigaciones Cient\u00edficas, Arganda del Rey, Spain;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jakob L.","family":"Dideriksen","sequence":"additional","affiliation":[{"name":"Department of Neurorehabilitation 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