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In order to prove that FS_M1bySS is part of FS_M1, we also collected EEG in a motor condition, i.e. during a voluntary movement task (isometric handgrip) and in a rest condition, i.e. at rest with eyes open and closed. In motor condition, we show that the cortico-muscular coherence (CMC) of FS_M1bySS does not differ from FS_ M1 CMC (0.04 for both sources). Moreover, we show that the FS_M1bySS\u2019s ongoing whole band activity during Motor and both rest conditions displays high mutual information and time correlation with FS_M1 (above 0.900 and 0.800, respectively) whereas much smaller ones with the primary somatosensory cortex [Formula: see text] (about 0.300 and 0.500, [Formula: see text]). FS_M1bySS as a marker of the upper-limb FS_M1 representation obtainable without the execution of an active motor task is a great achievement of the FSS algorithm, relevant in most experimental, neurological and psychiatric protocols.<\/jats:p>","DOI":"10.1142\/s0129065717500472","type":"journal-article","created":{"date-parts":[[2017,9,12]],"date-time":"2017-09-12T03:20:35Z","timestamp":1505186435000},"page":"1750047","source":"Crossref","is-referenced-by-count":12,"title":["Functional Semi-Blind Source Separation Identifies Primary Motor Area Without Active Motor Execution"],"prefix":"10.1142","volume":"28","author":[{"given":"Camillo","family":"Porcaro","sequence":"first","affiliation":[{"name":"LET\u2019S - ISTC - CNR, Rome 00185, Italy"},{"name":"Movement Control and Neuroplasticity Research Group, Department of Kinesiology, KU Leuven, Leuven 3001, Belgium"},{"name":"Birmingham University Imaging Centre (BUIC), School of Psychology, University of Birmingham, Birmingham B15 2TT, 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