Distributed source modeling of intracranial stereoelectro-encephalographic measurements
Fa-Hsuan Lin,
Hsin-Ju Lee,
Jyrki Ahveninen,
Iiro P. Jääskeläinen,
Hsiang-Yu Yu,
Cheng-Chia Lee,
Chien-Chen Chou,
Wen-Jui Kuo
Affiliations
Fa-Hsuan Lin
Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada; Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
Hsin-Ju Lee
Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Canada
Jyrki Ahveninen
Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
Iiro P. Jääskeläinen
Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland; International Laboratory of Social Neurobiology, Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russian Federation
Hsiang-Yu Yu
Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Brain Science, Brain Research Center, National Yang-Ming University, Taipei, Taiwan
Cheng-Chia Lee
Institute of Brain Science, Brain Research Center, National Yang-Ming University, Taipei, Taiwan; Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
Chien-Chen Chou
Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Brain Science, Brain Research Center, National Yang-Ming University, Taipei, Taiwan
Wen-Jui Kuo
Institute of Neuroscience, National Yang Ming University, Taipei, Taiwan; Brain Research Center, National Yang Ming University, Taipei, Taiwan; Corresponding author.
Intracranial stereoelectroencephalography (sEEG) provides unsurpassed sensitivity and specificity for human neurophysiology. However, functional mapping of brain functions has been limited because the implantations have sparse coverage and differ greatly across individuals. Here, we developed a distributed, anatomically realistic sEEG source-modeling approach for within- and between-subject analyses. In addition to intracranial event-related potentials (iERP), we estimated the sources of high broadband gamma activity (HBBG), a putative correlate of local neural firing. Our novel approach accounted for a significant portion of the variance of the sEEG measurements in leave-one-out cross-validation. After logarithmic transformations, the sensitivity and signal-to-noise ratio were linearly inversely related to the minimal distance between the brain location and electrode contacts (slope≈−3.6). The signa-to-noise ratio and sensitivity in the thalamus and brain stem were comparable to those locations at the vicinity of electrode contact implantation. The HGGB source estimates were remarkably consistent with analyses of intracranial-contact data. In conclusion, distributed sEEG source modeling provides a powerful neuroimaging tool, which facilitates anatomically-normalized functional mapping of human brain using both iERP and HBBG data.
