Optimal referencing for stereo-electroencephalographic (SEEG) recordings

Guangye Li; Shize Jiang; Sivylla E Paraskevopoulou; Meng Wang; Yang Xu; Zehan Wu; Liang Chen; Dingguo Zhang; Gerwin Schalk

doi:10.1016/j.neuroimage.2018.08.020

Optimal referencing for stereo-electroencephalographic (SEEG) recordings

Neuroimage. 2018 Dec:183:327-335. doi: 10.1016/j.neuroimage.2018.08.020. Epub 2018 Aug 17.

Authors

Guangye Li¹, Shize Jiang², Sivylla E Paraskevopoulou³, Meng Wang⁴, Yang Xu⁵, Zehan Wu⁶, Liang Chen⁷, Dingguo Zhang⁸, Gerwin Schalk⁹

Affiliations

¹ State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China; National Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health, Albany, NY, USA. Electronic address: liguangye.sjtu@sjtu.edu.cn.
² Department of Neurosurgery of Huashan Hospital, Fudan University, Shanghai, China. Electronic address: sjiang13@fudan.edu.cn.
³ National Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health, Albany, NY, USA. Electronic address: paraskevopoulou@neurotechcenter.org.
⁴ State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China. Electronic address: wangmeng1995@sjtu.edu.cn.
⁵ State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China. Electronic address: yangeksu@sjtu.edu.cn.
⁶ Department of Neurosurgery of Huashan Hospital, Fudan University, Shanghai, China. Electronic address: zhwu08@fudan.edu.cn.
⁷ Department of Neurosurgery of Huashan Hospital, Fudan University, Shanghai, China. Electronic address: hschenliang@fudan.edu.cn.
⁸ State Key Laboratory of Mechanical Systems and Vibrations, Institute of Robotics, Shanghai Jiao Tong University, Shanghai, China. Electronic address: dgzhang@sjtu.edu.cn.
⁹ Department of Biomedical Sciences, State University of New York, Albany, NY, USA; Department of Neurology, Albany Medical College, Albany, NY, USA; National Center for Adaptive Neurotechnologies, Wadsworth Center, New York State Department of Health, Albany, NY, USA. Electronic address: gschalk@neurotechcenter.org.

Abstract

Stereo-electroencephalography (SEEG) is an intracranial recording technique in which depth electrodes are inserted in the brain as part of presurgical assessments for invasive brain surgery. SEEG recordings can tap into neural signals across the entire brain and thereby sample both cortical and subcortical sites. However, even though signal referencing is important for proper assessment of SEEG signals, no previous study has comprehensively evaluated the optimal referencing method for SEEG. In our study, we recorded SEEG data from 15 human subjects during a motor task, referencing them against the average of two white matter contacts (monopolar reference). We then subjected these signals to 5 different re-referencing approaches: common average reference (CAR), gray-white matter reference (GWR), electrode shaft reference (ESR), bipolar reference, and Laplacian reference. The results from three different signal quality metrics suggest the use of the Laplacian re-reference for study of local population-level activity and low-frequency oscillatory activity.

Keywords: Noise subtraction; Referencing method; SEEG; Signal quality; Stereo-electroencephalography.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Adult
Brain / anatomy & histology
Brain / physiology*
Brain Waves / physiology*
Electrocorticography / methods
Electrocorticography / standards*
Electromyography
Epilepsy / physiopathology
Epilepsy / surgery
Gray Matter / anatomy & histology
Gray Matter / physiology
Humans
Motor Activity / physiology
Signal Processing, Computer-Assisted*
Stereotaxic Techniques*
White Matter / anatomy & histology
White Matter / physiology

Abstract

Publication types

MeSH terms

Grants and funding