TY - GEN
T1 - Connectivity mapping of the human ECoG during a motor task with a time-varying dynamic Bayesian network
AU - Zhang, Huaijian
AU - Benz, Heather L.
AU - Bezerianos, anastasios
AU - Acharya, Soumyadipta
AU - Crone, Nathan E.
AU - Maybhate, Anil
AU - Zheng, Xiaoxiang
AU - Thakor, Nitish V.
PY - 2010
Y1 - 2010
N2 - As a partially invasive and clinically obtained neural signal, the electrocorticogram (ECoG) provides a unique opportunity to study cortical processing in humans in vivo. Functional connectivity mapping based on the ECoG signal can provide insight into epileptogenic zones and putative cortical circuits. We describe the first application of time-varying dynamic Bayesian networks (TVDBN) to the ECoG signal for the identification and study of cortical circuits. Connectivity between motor areas as well as between sensory and motor areas preceding and during movement is described. We further apply the connectivity results of the TVDBN to a movement decoder, which achieves a correlation between actual and predicted hand movements of 0.68. This paper presents evidence that the connectivity information discovered with TVDBN is applicable to the design of an ECoG-based brainmachine interface.
AB - As a partially invasive and clinically obtained neural signal, the electrocorticogram (ECoG) provides a unique opportunity to study cortical processing in humans in vivo. Functional connectivity mapping based on the ECoG signal can provide insight into epileptogenic zones and putative cortical circuits. We describe the first application of time-varying dynamic Bayesian networks (TVDBN) to the ECoG signal for the identification and study of cortical circuits. Connectivity between motor areas as well as between sensory and motor areas preceding and during movement is described. We further apply the connectivity results of the TVDBN to a movement decoder, which achieves a correlation between actual and predicted hand movements of 0.68. This paper presents evidence that the connectivity information discovered with TVDBN is applicable to the design of an ECoG-based brainmachine interface.
UR - http://www.scopus.com/inward/record.url?scp=78650829125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650829125&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2010.5627179
DO - 10.1109/IEMBS.2010.5627179
M3 - Conference contribution
C2 - 21096524
AN - SCOPUS:78650829125
SN - 9781424441235
T3 - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
SP - 130
EP - 133
BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
T2 - 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Y2 - 31 August 2010 through 4 September 2010
ER -