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Neuroimage. 2014 Nov 1;101:215-24. doi: 10.1016/j.neuroimage.2014.07.006. Epub 2014 Jul 12.

Surface-based mixed effects multilevel analysis of grouped human electrocorticography.

Author information

1
Vivian Smith Department of Neurosurgery, Univ. of Texas Medical School at Houston, 6431 Fannin Street, Suite G.550D, Houston, TX 77030, USA.
2
Scientific and Statistical Computing Core, NIMH/NIH/DHHS, 9000 Rockville Pike, Bethesda, MD 20892, USA.
3
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.

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.

KEYWORDS:

Fusiform face area; High gamma-band activity; Mixed effects multilevel analysis (MEMA); Occipital face area; Subdural electrodes; Surface-based normalization

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