TY - GEN
T1 - SEEGview
T2 - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
AU - Li, Guangye
AU - Jiang, Shize
AU - Wang, Meng
AU - Wu, Zehan
AU - Brunner, Peter
AU - Schalk, Gerwin
AU - Chen, Liang
AU - Zhang, Dingguo
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China (No. 61761166006, No. 51475292).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Stereo-electroencephalography (SEEG) creates unique opportunities for clinical applications, brain-machine-interface (BMI) studies and neuroscientific research. However, all of these directions have been under-explored because the lack of an easy-to-use and multi-functional software to accurately localize the SEEG electrodes in 3D space. In this work, we present, for the first time, an SEEG-specific MATLAB-based toolbox (SEEGview) for electrode localization that identifies 3D coordinates and anatomical information for all SEEG contacts within each individual brain, generates cortical activation maps, and maps SEEG contacts from different subjects into one standard brain model. This article first describes how each of these four functions (3D localization, anatomical localization, cortical activation mapping, and SEEG contact standardization) is implemented through SEEGview. We then present localization results based on SEEG data, thereby demonstrating the high localization accuracy and viability for SEEG research.
AB - Stereo-electroencephalography (SEEG) creates unique opportunities for clinical applications, brain-machine-interface (BMI) studies and neuroscientific research. However, all of these directions have been under-explored because the lack of an easy-to-use and multi-functional software to accurately localize the SEEG electrodes in 3D space. In this work, we present, for the first time, an SEEG-specific MATLAB-based toolbox (SEEGview) for electrode localization that identifies 3D coordinates and anatomical information for all SEEG contacts within each individual brain, generates cortical activation maps, and maps SEEG contacts from different subjects into one standard brain model. This article first describes how each of these four functions (3D localization, anatomical localization, cortical activation mapping, and SEEG contact standardization) is implemented through SEEGview. We then present localization results based on SEEG data, thereby demonstrating the high localization accuracy and viability for SEEG research.
KW - Stereo-electroencephalography (SEEG)
KW - electrode localization
KW - toolbox
UR - http://www.scopus.com/inward/record.url?scp=85062215744&partnerID=8YFLogxK
U2 - 10.1109/SMC.2018.00021
DO - 10.1109/SMC.2018.00021
M3 - Conference contribution
AN - SCOPUS:85062215744
T3 - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
SP - 67
EP - 70
BT - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 October 2018 through 10 October 2018
ER -