Title :
EEG correlates of submovements
Author :
Dipietro, L. ; Poizner, H. ; Krebs, H.I.
Author_Institution :
Mech. Eng. Dept., Massachusetts Inst. of Technol., Cambridge, MA, USA
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
Numerous studies on motor control in humans and primates have suggested that the Central Nervous System (CNS) generates and controls continuous movement via discrete, elementary units of movement or submovements. While most studies are based on analysis of kinematic data, investigations of neural correlates have been lacking. To fill this gap we recorded and analyzed kinematic and high-density electroencephalographic (64-channel EEG) data from three right-handed normal adults during a reaching task that required online movement corrections. Each kinematic submovement was accompanied by stereotyped scalp maps. Furthermore, the peaks of event-related potentials (ERP) recorded at electrode C1 (over contralateral motor cortex) were time-locked to kinematic submovement peaks. These results provide further evidence for the hypothesis that the CNS generates and controls continuous movement via discrete submovements. Applications include design of quantitative outcome metrics for motor disorders of neurological origin such as stroke and Parkinson´s disease.
Keywords :
diseases; electroencephalography; neurophysiology; Central Nervous System; Parkinson´s disease; electroencephalography; event related potential; humans; motor control; primates; stroke; submovements; Brain modeling; Correlation; Electroencephalography; Kinematics; Robots; Scalp; Wrist; Adult; Electroencephalography; Evoked Potentials; Humans; Latency Period (Psychology); Movement; Scalp;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091730