"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates" "uuid:4faa2692-c2b7-40dc-8b34-6f7ddb87f493","http://resolver.tudelft.nl/uuid:4faa2692-c2b7-40dc-8b34-6f7ddb87f493","Unveiling neural coupling within the sensorimotor system: directionality and nonlinearity","Yang, Y. (TU Delft Biomechatronics & Human-Machine Control; Northwestern University); Dewald, J.P.A. (TU Delft Biomechatronics & Human-Machine Control; Northwestern University); van der Helm, F.C.T. (TU Delft Biomechatronics & Human-Machine Control; Northwestern University); Schouten, A.C. (TU Delft Biomechatronics & Human-Machine Control; Northwestern University; University of Twente)","","2017","Neural coupling between the central nervous system and the periphery is essential for the neural control of movement. Corticomuscular coherence is a popular linear technique to assess synchronised oscillatory activity in the sensorimotor system. This oscillatory coupling originates from ascending somatosensory feedback and descending motor commands. However, corticomuscular coherence cannot separate this bidirectionality. Furthermore, the sensorimotor system is nonlinear, resulting in cross-frequency
coupling. Cross-frequency oscillations cannot be assessed nor exploited by linear measures. Here, we emphasise the need of novel coupling measures, which provide directionality and acknowledge nonlinearity, to unveil neural coupling in the sensorimotor system. We highlight recent advances in the field and argue that assessing directionality and nonlinearity of neural coupling
will break new ground in the study of the control of movement in healthy and neurologically impaired individuals.","corticomuscular interaction; cross-frequency coupling; granger causality; sensorimotor system; sensory feedback","en","journal article","","","","","","","","","","","Biomechatronics & Human-Machine Control","","",""