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.
| Original language | English |
|---|---|
| Title of host publication | Advances in Cognitive Neurodynamics (V) |
| Subtitle of host publication | Proceedings of the Fifth International Conference on Cognitive Neurodynamics - 2015 |
| Editors | Rubin Wang, Xiaochuan Pan |
| Place of Publication | Singapore |
| Publisher | Springer |
| Pages | 533-539 |
| Number of pages | 7 |
| Edition | 1st |
| ISBN (Electronic) | 9789811002076 |
| ISBN (Print) | 9789811002052, 9789811091049 |
| DOIs | |
| Publication status | Published - 30 Jan 2016 |
| Event | 5th Fifth International Conference on Cognitive Neurodynamics, ICCN 2015 - Sanya, China Duration: 3 Jun 2015 → 7 Jun 2015 |
Publication series
| Name | Advances in Cognitive Neurodynamics |
|---|---|
| Publisher | Springer Singapore |
| ISSN (Print) | 2213-3569 |
| ISSN (Electronic) | 2213-3577 |
Conference
| Conference | 5th Fifth International Conference on Cognitive Neurodynamics, ICCN 2015 |
|---|---|
| Country/Territory | China |
| City | Sanya |
| Period | 3/06/15 → 7/06/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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