Repetition priming effects for famous faces through dynamic causal modelling of latency-corrected event-related brain potentials
Repetition priming, that is, the repeated processing of a stimulus, facilitates performance. However, the neural underpinnings of repetition priming for famous faces in terms of effective connectivity are not known. Here we investigated this problem using dynamic causal modelling of latency-correcte...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/10356/151698 |
| _version_ | 1811692433628463104 |
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| author | Kashyap, Rajan Bhattacharjee, Sagarika Sommer, Werner Zhou, Changsong |
| author2 | School of Social Sciences |
| author_facet | School of Social Sciences Kashyap, Rajan Bhattacharjee, Sagarika Sommer, Werner Zhou, Changsong |
| author_sort | Kashyap, Rajan |
| collection | NTU |
| description | Repetition priming, that is, the repeated processing of a stimulus, facilitates performance. However, the neural underpinnings of repetition priming for famous faces in terms of effective connectivity are not known. Here we investigated this problem using dynamic causal modelling of latency-corrected event-related brain potentials (RERPs). Source waveforms of RERP-derived sources in the Occipital Lobe, Fusiform Gyrus, Mediotemporal Lobe, Prefrontal Cortex and Anterotemporal Lobe of each hemisphere entered into models with only forward (F) or also with backward (FB) connections. Based on the framework of predictive coding formulated for repetition suppression, modulations of F and FB connections were expected for sources that displayed priming effects in their source waveforms. Hence, neural sources in each hemisphere were fitted with either F or FB connections. Inter-hemispheric connections were considered between homologous areas and were allowed to be modulated in an incremental manner resulting in a model space that comprised of 24 models. Bayesian model averaging across models revealed effective bidirectional connectivity between the Fusiform Gyrus (face perception) and Prefrontal Cortex (decision-making) in both hemispheres to be modulated by priming. In the left hemisphere, there is also a substantial involvement from the Mediotemporal Lobe, indicating the facilitation of automatic retrieval of the famous person's name. Furthermore, there is evidence that the priming is supported by connections from the right to the left Fusiform Gyri possibly in the service of inter-hemispheric cooperation. Altogether, the study indicates that along with top-down modulations, efficient processing within and across the two hemispheres is crucial for famous face priming. |
| first_indexed | 2024-10-01T06:35:43Z |
| format | Journal Article |
| id | ntu-10356/151698 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:35:43Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1516982021-07-02T02:32:42Z Repetition priming effects for famous faces through dynamic causal modelling of latency-corrected event-related brain potentials Kashyap, Rajan Bhattacharjee, Sagarika Sommer, Werner Zhou, Changsong School of Social Sciences Department of Psychology Social sciences::Psychology Dynamical Causal Modelling Event-related Potential Repetition priming, that is, the repeated processing of a stimulus, facilitates performance. However, the neural underpinnings of repetition priming for famous faces in terms of effective connectivity are not known. Here we investigated this problem using dynamic causal modelling of latency-corrected event-related brain potentials (RERPs). Source waveforms of RERP-derived sources in the Occipital Lobe, Fusiform Gyrus, Mediotemporal Lobe, Prefrontal Cortex and Anterotemporal Lobe of each hemisphere entered into models with only forward (F) or also with backward (FB) connections. Based on the framework of predictive coding formulated for repetition suppression, modulations of F and FB connections were expected for sources that displayed priming effects in their source waveforms. Hence, neural sources in each hemisphere were fitted with either F or FB connections. Inter-hemispheric connections were considered between homologous areas and were allowed to be modulated in an incremental manner resulting in a model space that comprised of 24 models. Bayesian model averaging across models revealed effective bidirectional connectivity between the Fusiform Gyrus (face perception) and Prefrontal Cortex (decision-making) in both hemispheres to be modulated by priming. In the left hemisphere, there is also a substantial involvement from the Mediotemporal Lobe, indicating the facilitation of automatic retrieval of the famous person's name. Furthermore, there is evidence that the priming is supported by connections from the right to the left Fusiform Gyri possibly in the service of inter-hemispheric cooperation. Altogether, the study indicates that along with top-down modulations, efficient processing within and across the two hemispheres is crucial for famous face priming. Ministry of Education (MOE) National Medical Research Council (NMRC) National Research Foundation (NRF) This work was partially supported by Hong Kong Baptist University (HKBU) Strategic Development Fund, the Hong Kong PhD Fellowship Scheme, the HKBU Faculty Research Grant (FRG2/14-15/025), and GRF 12302914. This research was conducted using the resources of the High Performance Cluster Computing Centre, Hong Kong Baptist University, which receives funding from RGC, University Grant Committee of the HKSAR and HKBU. Funding support was also obtained from Singapore MOE Tier 2 (MOE2014-T2-2-016), NUS Strategic Research (DPRT/944/09/14), NUS SOM Aspiration Fund (R185000271720), Singapore NMRC (CBRG/0088/2015), NUS YIA and the Singapore National Research Foundation (NRF) Fellowship (Class of 2017). 2021-07-02T02:32:42Z 2021-07-02T02:32:42Z 2019 Journal Article Kashyap, R., Bhattacharjee, S., Sommer, W. & Zhou, C. (2019). Repetition priming effects for famous faces through dynamic causal modelling of latency-corrected event-related brain potentials. European Journal of Neuroscience, 49(10), 1330-1347. https://dx.doi.org/10.1111/ejn.14303 0953-816X 0000-0002-5967-2173 https://hdl.handle.net/10356/151698 10.1111/ejn.14303 30549325 2-s2.0-85060340930 10 49 1330 1347 en MOE2014-T2-2-016 DPRT/944/09/14 R185000271720 CBRG/0088/2015 European Journal of Neuroscience © 2018 Federation of European Neuroscience Societies. All rights reserved. |
| spellingShingle | Social sciences::Psychology Dynamical Causal Modelling Event-related Potential Kashyap, Rajan Bhattacharjee, Sagarika Sommer, Werner Zhou, Changsong Repetition priming effects for famous faces through dynamic causal modelling of latency-corrected event-related brain potentials |
| title | Repetition priming effects for famous faces through dynamic causal modelling of latency-corrected event-related brain potentials |
| title_full | Repetition priming effects for famous faces through dynamic causal modelling of latency-corrected event-related brain potentials |
| title_fullStr | Repetition priming effects for famous faces through dynamic causal modelling of latency-corrected event-related brain potentials |
| title_full_unstemmed | Repetition priming effects for famous faces through dynamic causal modelling of latency-corrected event-related brain potentials |
| title_short | Repetition priming effects for famous faces through dynamic causal modelling of latency-corrected event-related brain potentials |
| title_sort | repetition priming effects for famous faces through dynamic causal modelling of latency corrected event related brain potentials |
| topic | Social sciences::Psychology Dynamical Causal Modelling Event-related Potential |
| url | https://hdl.handle.net/10356/151698 |
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