Retrieval of retrained and reconsolidated memories are associated with a distinct neural network
Consolidated memories can persist from a single day to years, and persistence is improved by retraining or retrieval-mediated plasticity. One retrieval-based way to strengthen memory is the reconsolidation process. Strengthening occurs simply by the presentation of specific cues associated with the...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_20452322_v9_n1_p_Bavassi |
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todo:paper_20452322_v9_n1_p_Bavassi2023-10-03T16:38:30Z Retrieval of retrained and reconsolidated memories are associated with a distinct neural network Bavassi, L. Forcato, C. Fernández, R.S. De Pino, G. Pedreira, M.E. Villarreal, M.F. article controlled study functional connectivity functional magnetic resonance imaging information retrieval memory reconsolidation Consolidated memories can persist from a single day to years, and persistence is improved by retraining or retrieval-mediated plasticity. One retrieval-based way to strengthen memory is the reconsolidation process. Strengthening occurs simply by the presentation of specific cues associated with the original learning. This enhancement function has a fundamental role in the maintenance of memory relevance in animals everyday life. In the present study, we made a step forward in the identification of brain correlates imprinted by the reconsolidation process studying the long-term neural consequences when the strengthened memory is stable again. To reach such a goal, we compared the retention of paired-associate memories that went through retraining process or were labilizated-reconsolidated. Using functional magnetic resonance imaging (fMRI), we studied the specific areas activated during retrieval and analyzed the functional connectivity of the whole brain associated with the event-related design. We used Graph Theory tools to analyze the global features of the network. We show that reconsolidated memories imprint a more locally efficient network that is better at exchanging information, compared with memories that were retrained or untreated. For the first time, we report a method to elucidate the neural footprints associated with a relevant function of memory reconsolidation. © 2019, The Author(s). JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_20452322_v9_n1_p_Bavassi |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
article controlled study functional connectivity functional magnetic resonance imaging information retrieval memory reconsolidation |
| spellingShingle |
article controlled study functional connectivity functional magnetic resonance imaging information retrieval memory reconsolidation Bavassi, L. Forcato, C. Fernández, R.S. De Pino, G. Pedreira, M.E. Villarreal, M.F. Retrieval of retrained and reconsolidated memories are associated with a distinct neural network |
| topic_facet |
article controlled study functional connectivity functional magnetic resonance imaging information retrieval memory reconsolidation |
| description |
Consolidated memories can persist from a single day to years, and persistence is improved by retraining or retrieval-mediated plasticity. One retrieval-based way to strengthen memory is the reconsolidation process. Strengthening occurs simply by the presentation of specific cues associated with the original learning. This enhancement function has a fundamental role in the maintenance of memory relevance in animals everyday life. In the present study, we made a step forward in the identification of brain correlates imprinted by the reconsolidation process studying the long-term neural consequences when the strengthened memory is stable again. To reach such a goal, we compared the retention of paired-associate memories that went through retraining process or were labilizated-reconsolidated. Using functional magnetic resonance imaging (fMRI), we studied the specific areas activated during retrieval and analyzed the functional connectivity of the whole brain associated with the event-related design. We used Graph Theory tools to analyze the global features of the network. We show that reconsolidated memories imprint a more locally efficient network that is better at exchanging information, compared with memories that were retrained or untreated. For the first time, we report a method to elucidate the neural footprints associated with a relevant function of memory reconsolidation. © 2019, The Author(s). |
| format |
JOUR |
| author |
Bavassi, L. Forcato, C. Fernández, R.S. De Pino, G. Pedreira, M.E. Villarreal, M.F. |
| author_facet |
Bavassi, L. Forcato, C. Fernández, R.S. De Pino, G. Pedreira, M.E. Villarreal, M.F. |
| author_sort |
Bavassi, L. |
| title |
Retrieval of retrained and reconsolidated memories are associated with a distinct neural network |
| title_short |
Retrieval of retrained and reconsolidated memories are associated with a distinct neural network |
| title_full |
Retrieval of retrained and reconsolidated memories are associated with a distinct neural network |
| title_fullStr |
Retrieval of retrained and reconsolidated memories are associated with a distinct neural network |
| title_full_unstemmed |
Retrieval of retrained and reconsolidated memories are associated with a distinct neural network |
| title_sort |
retrieval of retrained and reconsolidated memories are associated with a distinct neural network |
| url |
http://hdl.handle.net/20.500.12110/paper_20452322_v9_n1_p_Bavassi |
| work_keys_str_mv |
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