TY - GEN
T1 - Electrophysiological and behavioral measures of visuo-motor learning for application in movement disorders
AU - Quinlivan, Brendan T.
AU - Butler, John S.
AU - Hutchinson, Michael K.
AU - O'Riordan, Sean
AU - Ridwan, Raquib A.
AU - Reilly, Richard B.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/2
Y1 - 2014/11/2
N2 - Dystonia is the third most common movement disorder worldwide and drastically reduces the quality of life of those who are affected. Despite its prevalence, very little is known about the underlying pathology of the disorder. Recent literature has suggested that abnormal processing in the superior colliculus (SC) may play a role in Dystonia. The SC is known to be an important hub in the neural network that is used when learning a novel movement and therefore we would postulate that a disorder of SC should result in abnormal movement learning. Here 9 participants completed learning and non-learning movement tasks while behavioural and electrophysiological data were acquired. The results of this study show that there is a significant relationship between the behavioural and electrophysiological data (R2 = 0.19, F(1, 46) =10.88, p<0.002) during the learning task but not in the non-learning task (p>0.05). The developed paradigm is ideally suited for probing the underlying pathology of Dystonia via movement learning.
AB - Dystonia is the third most common movement disorder worldwide and drastically reduces the quality of life of those who are affected. Despite its prevalence, very little is known about the underlying pathology of the disorder. Recent literature has suggested that abnormal processing in the superior colliculus (SC) may play a role in Dystonia. The SC is known to be an important hub in the neural network that is used when learning a novel movement and therefore we would postulate that a disorder of SC should result in abnormal movement learning. Here 9 participants completed learning and non-learning movement tasks while behavioural and electrophysiological data were acquired. The results of this study show that there is a significant relationship between the behavioural and electrophysiological data (R2 = 0.19, F(1, 46) =10.88, p<0.002) during the learning task but not in the non-learning task (p>0.05). The developed paradigm is ideally suited for probing the underlying pathology of Dystonia via movement learning.
UR - http://www.scopus.com/inward/record.url?scp=84929492657&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2014.6944385
DO - 10.1109/EMBC.2014.6944385
M3 - Conference contribution
C2 - 25570753
AN - SCOPUS:84929492657
T3 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
SP - 3533
EP - 3536
BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Y2 - 26 August 2014 through 30 August 2014
ER -