01910nas a2200301   4500008004100000022001400041245007700055210006900132260001200201300001200213490000800225520107400233653002201307653002301329653000901352653001901361653003401380100001001414700001301424700002301437700001201460700001001472700001001482700001201492700001301504700001901517856007201536       2018                        eng d  a1053-811900aOptimal referencing for stereo-electroencephalographic (SEEG) recordings0 aOptimal referencing for stereoelectroencephalographic SEEG recor  c12/2018  a327-3350 v1833 aStereo-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.10aNoise subtraction10aReferencing method10aSEEG10aSignal quality10aStereo-electroencephalography1 aLi, G1 aJiang, S1 aParaskevopoulou, S1 aWang, M1 aXu, Y1 aWu, Z1 aChen, L1 aZhang, D1 aSchalk, Gerwin  uhttps://www.sciencedirect.com/science/article/pii/S1053811918307183