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https://repositorio.ufrn.br/handle/123456789/23832
Title: | Prior learning of relevant non-aversive information is a boundary condition for avoidance memory reconsolidation in the rat hippocampus |
Authors: | Radiske, Andressa Gonzalez, Maria Carolina Conde-Ocaziones, Sergio Feitosa, Anatildes Köhler, Cristiano A. Bevilaqua, Lia Rejane Müller Cammarota, Martín Pablo |
Keywords: | memory;learning;post-traumatic stress disorder;gamma oscillations;theta;cross-frequency coupling |
Issue Date: | 8-Sep-2017 |
Portuguese Abstract: | Reactivated memories can be modified during reconsolidation, making this process a potential therapeutic target for post-traumatic stress disorder (PTSD), a mental illness characterized by the recurring avoidance of situations that evoke trauma-related fears. However, avoidance memory reconsolidation depends on a set of still loosely defined boundary conditions, limiting the translational value of basic research. In particular, the involvement of the hippocampus in fear-motivated avoidance memory reconsolidation remains controversial. Combining behavioral and electrophysiological analyses in male Wistar rats, we found that previous learning of relevant non-aversive information is essential to elicit the participation of the hippocampus in avoidance memory reconsolidation, which is associated with an increase in theta and gamma oscillations power and cross-frequency coupling in dorsal CA1 during reactivation of the avoidance response. Our results indicate that the hippocampus is involved in memory reconsolidation only when reactivation results in contradictory representations regarding the consequences of avoidance, and suggest that robust nesting of hippocampal theta-gamma rhythms at the time of retrieval is a specific reconsolidation marker. |
URI: | https://repositorio.ufrn.br/jspui/handle/123456789/23832 |
Embargoed until: | 2018-03-10 |
Appears in Collections: | ICe - Artigos publicados em periódicos |
Files in This Item:
File | Description | Size | Format | |
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MartínCammarota_ICe_2017_Prior learning.pdf | MartínCammarota_ICe_2017_Prior learning | 2,57 MB | Adobe PDF | ![]() View/Open |
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