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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2019
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20452322_v9_n1_p_Bavassi http://hdl.handle.net/20.500.12110/paper_20452322_v9_n1_p_Bavassi |
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paper:paper_20452322_v9_n1_p_Bavassi2023-06-08T16:33:38Z Retrieval of retrained and reconsolidated memories are associated with a distinct neural network 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). 2019 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20452322_v9_n1_p_Bavassi 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 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). |
| 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 |
| publishDate |
2019 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20452322_v9_n1_p_Bavassi http://hdl.handle.net/20.500.12110/paper_20452322_v9_n1_p_Bavassi |
| _version_ |
1768544933357027328 |