title: Surface-based mixed effects multilevel analysis of grouped human electrocorticography.
abstract: Electrocorticography (ECoG) in humans yields data with unmatched spatio-temporal resolution that provides novel insights into cognitive operations. However, the broader application of ECoG has been confounded by difficulties in accurately depicting individual data and performing statistically valid population-level analyses. To overcome these limitations, we developed methods for accurately registering ECoG data to individual cortical topology. We integrated this technique with surface-based co-registration and a mixed-effects multilevel analysis (MEMA) to control for variable cortical surface anatomy and sparse coverage across patients, as well as intra- and inter-subject variability. We applied this surface-based MEMA (SB-MEMA) technique to a face-recognition task dataset (n=22). Compared against existing techniques, SB-MEMA yielded results much more consistent with individual data and with meta-analyses of face-specific activation studies. We anticipate that SB-MEMA will greatly expand the role of ECoG in studies of human cognition, and will enable the generation of population-level brain activity maps and accurate multimodal comparisons.
authors.affiliation: Vivian Smith Department of Neurosurgery, Univ. of Texas Medical School at Houston, 6431 Fannin Street, Suite G.550D, Houston, TX 77030, USA.
authors.forename: C M
authors.initials: CM
authors.lastname: Kadipasaoglu
authors.affiliation: Vivian Smith Department of Neurosurgery, Univ. of Texas Medical School at Houston, 6431 Fannin Street, Suite G.550D, Houston, TX 77030, USA.
authors.forename: V G
authors.initials: VG
authors.lastname: Baboyan
authors.affiliation: Vivian Smith Department of Neurosurgery, Univ. of Texas Medical School at Houston, 6431 Fannin Street, Suite G.550D, Houston, TX 77030, USA.
authors.forename: C R
authors.initials: CR
authors.lastname: Conner
authors.affiliation: Scientific and Statistical Computing Core, NIMH/NIH/DHHS, 9000 Rockville Pike, Bethesda, MD 20892, USA.
authors.forename: G
authors.initials: G
authors.lastname: Chen
authors.affiliation: Scientific and Statistical Computing Core, NIMH/NIH/DHHS, 9000 Rockville Pike, Bethesda, MD 20892, USA.
authors.forename: Z S
authors.initials: ZS
authors.lastname: Saad
authors.affiliation: Vivian Smith Department of Neurosurgery, Univ. of Texas Medical School at Houston, 6431 Fannin Street, Suite G.550D, Houston, TX 77030, USA; Memorial Hermann Hospital, Texas Medical Center, Houston, TX 77030, USA. Electronic address: nitin.tandon@uth.tmc.edu.
authors.forename: N
authors.initials: N
authors.lastname: Tandon
mesh_terms: D000328:Adult; D001921:Brain / Q000033:anatomy & histology / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000379:methods* / Q000592:standards; D005145:Face; D065818:Gamma Rhythm / Q000502:physiology; D006801:Humans; D008297:Male; D055361:Multilevel Analysis; D010364:Pattern Recognition, Visual / Q000502:physiology; D021641:Recognition, Psychology / Q000502:physiology
keywords: Fusiform face area; High gamma-band activity; Mixed effects multilevel analysis (MEMA); Occipital face area; Subdural electrodes; Surface-based normalization