title: Connectivity mapping of the human ECoG during a motor task with a time-varying dynamic Bayesian network.
abstract: 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 brain-machine interface.
authors.affiliation: Qiushi Academcy for Advanced Studies, Zhejiang University, Hangzhou, China. alexwillzhj@hotmail.com
authors.forename: Huaijian
authors.initials: H
authors.lastname: Zhang
authors.forename: Heather L
authors.initials: HL
authors.lastname: Benz
authors.forename: Anastasios
authors.initials: A
authors.lastname: Bezerianos
authors.forename: Soumyadipta
authors.initials: S
authors.lastname: Acharya
authors.forename: Nathan E
authors.initials: NE
authors.lastname: Crone
authors.forename: Anil
authors.initials: A
authors.lastname: Maybhate
authors.forename: Xiaoxiang
authors.initials: X
authors.lastname: Zheng
authors.forename: Nitish V
authors.initials: NV
authors.lastname: Thakor
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D001931:Brain Mapping / Q000379:methods*; D002540:Cerebral Cortex / Q000502:physiology; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy; D006225:Hand / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009048:Motor Skills / Q000502:physiology*; D009415:Nerve Net; D012044:Regression Analysis; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors