期刊
NEUROIMAGE
卷 183, 期 -, 页码 327-335出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2018.08.020
关键词
Stereo-electroencephalography; SEEG; Referencing method; Signal quality; Noise subtraction
资金
- National Institutes of Health [P41-EB018783, P50-MH109429]
- US Army Research Office [W911NF-14-1-0440]
- Fondazione Neurone
- National Natural Science Foundation of China [61761166006, 51475292]
- Natural Science Foundation and Major Basic Research Program of Shanghai [16JC1420102]
- NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING [P41EB018783, R01EB026439] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF MENTAL HEALTH [P50MH109429] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [U01NS108916] Funding Source: NIH RePORTER
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 rereference for study of local population-level activity and low-frequency oscillatory activity.
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