Evaluating dipolar source localization feasibility from intracerebral SEEG recordings

Stereo-electroencephalography (SEEG) is considered as the golden standard for exploring targeted structures during pre-surgical evaluation in drug-resistant partial epilepsy. The depth electrodes, inserted in the brain, consist of several collinear measuring contacts (sensors). Clinical routine analysis of SEEG signals is performed on bipolar montage, providing a focal view of the explored structures, thus eliminating activities of distant sources that propagate through the brain volume. We propose in this paper to exploit the common reference SEEG signals. In this case, the volume propagation information is preserved and electrical source localization (ESL) approaches can be proposed. Current ESL approaches used to localize and estimate the activity of the neural generators are mainly based on surface EEG/MEG signals, but very few studies exist on real SEEG recordings, and the case of equivalent current dipole source localization has not been explored yet in this context. In this study, we investigate the influence of volume conduction model, spatial configuration of SEEG sensors and level of noise on the ESL accuracy, using a realistic simulation setup. Localizations on real SEEG signals recorded during intracerebral electrical stimulations (ICS, known sources) as well as on epileptic interictal spikes are carried out. Our results show that, under certain conditions, a straightforward approach based on an equivalent current dipole model for the source and on simple analytical volume conduction models yields sufficiently precise solutions (below 10mm) of the localization problem. Thus, electrical source imaging using SEEG signals is a promising tool for distant brain source investigation and might be used as a complement to routine visual interpretations.

[1]  Karl J. Friston,et al.  Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG , 2008, NeuroImage.

[2]  M. Murray,et al.  EEG source imaging , 2004, Clinical Neurophysiology.

[3]  V. Louis-Dorr,et al.  Reference estimation in EEG recordings , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[4]  Blaise Yvert,et al.  Localization of human supratemporal auditory areas from intracerebral auditory evoked potentials using distributed source models , 2005, NeuroImage.

[5]  L. Koessler,et al.  Focal electrical intracerebral stimulation of a face-sensitive area causes transient prosopagnosia , 2012, Neuroscience.

[6]  R. Duckrow,et al.  Concerning the observation of an electrical potential at a distance from an intracranial electrode contact , 2009, Clinical Neurophysiology.

[7]  François Mauguière,et al.  SEEG‐guided RF Thermocoagulation of Epileptic Foci: Feasibility, Safety, and Preliminary Results , 2004, Epilepsia.

[8]  Sanqing Hu,et al.  Removal of Scalp Reference Signal and Line Noise for Intracranial EEGs , 2008, 2008 IEEE International Conference on Networking, Sensing and Control.

[9]  Carlos H. Muravchik,et al.  Electrode and brain modeling in stereo-EEG , 2012, Clinical Neurophysiology.

[10]  Sylvain Vallaghé,et al.  EEG and MEG forward modelling : computation and calibration , 2009 .

[11]  Patrick Chauvel,et al.  From Perception to Recognition Memory: Time Course and Lateralization of Neural Substrates of Word and Abstract Picture Processing , 2011, Journal of Cognitive Neuroscience.

[12]  Nilesh Madhu,et al.  A unified treatment of the reference estimation problem in depth EEG recordings , 2012, Medical & Biological Engineering & Computing.

[13]  Janis Hofmanis,et al.  Contribution to the cerebral forward model by depth electric stimulation and SEEG measurements : application in epilepsy. (Contribution au modèle direct cérébral par stimulation électrique de profondeur et mesures SEEG : application a l'épilepsie) , 2013 .

[14]  Adriaan van Oosterom,et al.  The inverse problem of bioelectricity: an evaluation , 2012, Medical & Biological Engineering & Computing.

[15]  Bin He,et al.  Three-dimensional brain current source reconstruction from intra-cranial ECoG recordings , 2008, NeuroImage.

[16]  G. Romani,et al.  Auditory evoked magnetic fields and electric potentials , 1990 .

[17]  Roberto D. Pascual-Marqui,et al.  Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization , 2007, 0710.3341.

[18]  Olivier Caspary,et al.  Automatic Depth Electrode Localization in Intracranial Space , 2011, BIOSIGNALS.

[19]  Radu Ranta,et al.  Dipolar source localization from intracerebral SEEG recordings , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[20]  L. Koessler,et al.  Combined SEEG and source localisation study of temporal lobe schizencephaly and polymicrogyria , 2009, Clinical Neurophysiology.

[21]  T. Cecchin,et al.  Seizure lateralization in scalp EEG using Hjorth parameters , 2010, Clinical Neurophysiology.

[22]  R. Greenblatt,et al.  Local linear estimators for the bioelectromagnetic inverse problem , 2005, IEEE Transactions on Signal Processing.

[23]  Nathalie Chang,et al.  Dipole localization using simulated intracerebral EEG , 2005, Clinical Neurophysiology.

[24]  Bruno Rossion,et al.  Right hemispheric dominance of visual phenomena evoked by intracerebral stimulation of the human visual cortex , 2014, Human brain mapping.

[25]  D. Barth,et al.  MEG and ECoG localization accuracy test. , 1995, Electroencephalography and clinical neurophysiology.

[26]  M. Cook,et al.  EEG source localization in focal epilepsy: Where are we now? , 2008, Epilepsia.

[27]  Dezhong Yao,et al.  Electric potential produced by a dipole in a homogeneous conducting sphere , 2000, IEEE Trans. Biomed. Eng..

[28]  Andreas Schulze-Bonhage,et al.  Source reconstruction based on subdural EEG recordings adds to the presurgical evaluation in refractory frontal lobe epilepsy , 2013, Clinical Neurophysiology.

[29]  P. Chauvel,et al.  Epileptogenicity of brain structures in human temporal lobe epilepsy: a quantified study from intracerebral EEG. , 2008, Brain : a journal of neurology.

[30]  Andreas Schulze-Bonhage,et al.  sLORETA allows reliable distributed source reconstruction based on subdural strip and grid recordings , 2012, Human brain mapping.

[31]  Olivier Caspary,et al.  Denoising Depth EEG Signals During DBS Using Filtering and Subspace Decomposition , 2013, IEEE Transactions on Biomedical Engineering.

[32]  L. Koessler,et al.  Influence of source separation and montage on ictal source localization , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[33]  Fabrice Wendling,et al.  Source localization of scalp‐EEG interictal spikes in posterior cortex epilepsies investigated by HR‐EEG and SEEG , 2009, Epilepsia.

[34]  Fabrice Wendling,et al.  A Physiologically Plausible Spatio-Temporal Model for EEG Signals Recorded With Intracerebral Electrodes in Human Partial Epilepsy , 2007, IEEE Transactions on Biomedical Engineering.

[35]  Richard M. Leahy,et al.  Electromagnetic brain mapping , 2001, IEEE Signal Process. Mag..

[36]  L. Geddes,et al.  The specific resistance of biological material—A compendium of data for the biomedical engineer and physiologist , 1967, Medical and biological engineering.

[37]  F. Wendling,et al.  Automatic lateralization of temporal lobe epilepsy based on scalp EEG , 2006, Clinical Neurophysiology.

[38]  Matthias Dümpelmann,et al.  3D source localization derived from subdural strip and grid electrodes: A simulation study , 2009, Clinical Neurophysiology.