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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).


Documento: Artículo
Título:Retrieval of retrained and reconsolidated memories are associated with a distinct neural network
Autor:Bavassi, L.; Forcato, C.; Fernández, R.S.; De Pino, G.; Pedreira, M.E.; Villarreal, M.F.
Filiación:Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, Ciudad de Buenos Aires, Argentina
CONICET-Universidad de Buenos Aires, Instituto de Fisiología, Biología Molecular y Neurociencias (IFIBYNE), Ciudad de Buenos Aires, Argentina
Unidad Ejecutora de Estudios de Neurociencias y Sistemas Complejos, CONICET, Universidad Nacional Arturo Jauretche Hospital de Alta Complejidad en Red El Cruce “Néstor Kirchner”, Av. Calchaqui 6200, Florencio Varela, 1888, Argentina
Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Ciudad de Buenos Aires, Argentina
Laboratorio de Neuroimágenes, Departamento de Imágenes, FLENI, Montañeses 2325, Ciudad de Buenos Aires, C1428AQK, Argentina
Centro Universitario de Imágenes Médicas (CEUNIM), Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín, Buenos Aires, Argentina
INAAC, FLENI, Montañeses 2325, Ciudad de Buenos Aires, C1428AQK, Argentina
CONICET, Ciudad de Buenos Aires, Argentina
Instituto de Fisiología, Biología Molecular y Neurociencias, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Ciudad Universitaria (C1428EHA), Ciudad de Buenos Aires, Argentina
Palabras clave:article; controlled study; functional connectivity; functional magnetic resonance imaging; information retrieval; memory reconsolidation
Título revista:Scientific Reports
Título revista abreviado:Sci. Rep.


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---------- APA ----------
Bavassi, L., Forcato, C., Fernández, R.S., De Pino, G., Pedreira, M.E. & Villarreal, M.F. (2019) . Retrieval of retrained and reconsolidated memories are associated with a distinct neural network. Scientific Reports, 9(1).
---------- CHICAGO ----------
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" . Scientific Reports 9, no. 1 (2019).
---------- MLA ----------
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" . Scientific Reports, vol. 9, no. 1, 2019.
---------- VANCOUVER ----------
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. Sci. Rep. 2019;9(1).