Paper Info
Title
Distributed source modeling of intracranial stereoelectro-encephalographic measurements
Abstract
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.
Year
DOI
Venue
2021
10.1016/j.neuroimage.2021.117746
NeuroImage
Keywords
DocType
Volume
MNE,Invasive,Dynamic statistical parametric maps,L2-norm,Cross-validation,Thalamus,Brainstem
Journal
230
ISSN
Citations 
PageRank 
1053-8119
0
0.34
References 
Authors
6
8
Name
Order
Citations
PageRank
Fa-Hsuan Lin124624.33
Hsin-Ju Lee200.68
Jyrki Ahveninen38915.15
Iiro P. Jääskeläinen400.34
Hsiang-Yu Yu500.34
Cheng-Chia Lee6172.21
Chien-Chou Chen761.53
Wen-Jui Kuo816320.42