@inbook{91164fec60b743049d11bf400769513e,
title = "Improved Source Localization of Priming Effect of Face Recognition Based on RIDE",
abstract = "The late components of ERPs pose difficult problem in source localization because latency jitter smears peak arising from conventional averaging. RIDE, a technique developed to solve smearing in ERP components, improves scalp topography. Our study assessed whether the benefits of RIDE at surface level could improve source localization of RIDE-transformed ERPs (RERPs) from a face priming task. Separate source models for ERP and RERP were created and sources were localized. Jackknife averaging reduced the residual variance compared to source model fitting on individual subject data. Priming effects (PE) in the sources were calculated for three early and three late time windows. Significant improvement in PE is found from RERP sources especially in the late sources. We found early PE in right hemisphere and late PE in left hemisphere, indicating earlier face processing in right. Also, the PE in right hemisphere outnumbered the left, signifying right hemispheric dominance of face recognition.",
author = "Rajan Kashyap and Guang Ouyang and Werner Sommer and Changsong Zhou",
note = "Publisher Copyright: {\textcopyright} 2016 Springer Science+Business Media Singapore; 5th Fifth International Conference on Cognitive Neurodynamics, ICCN 2015 ; Conference date: 03-06-2015 Through 07-06-2015",
year = "2016",
month = jan,
day = "30",
doi = "10.1007/978-981-10-0207-6_72",
language = "English",
isbn = "9789811002052",
series = "Advances in Cognitive Neurodynamics",
publisher = "Springer",
pages = "533--539",
editor = "Rubin Wang and Xiaochuan Pan",
booktitle = "Advances in Cognitive Neurodynamics (V)",
address = "Singapore",
edition = "1st",
}
