4.5 Article

Increase in serum prolactin levels in females improves the performance of spatial learning by promoting changes in the circuital dynamics of the hippocampus

Journal

PSYCHONEUROENDOCRINOLOGY
Volume 124, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.psyneuen.2020.105048

Keywords

Lactancy; Hyperprolactinemia; Rhythmic activity; Circuital network plasticity

Funding

  1. Ministerio de Economia y Competitividad
  2. Ministerio de Ciencia e Innovacion
  3. Agencia Estatal de Investigacion (Spain)
  4. Fondo Europeo de Desarrollo Regional, UE [BFU2014-57929-P, BFU201788393-P]

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This study found that prolactin improves learning of a spatial memory task in female mice and induces rhythmic activity changes at the circuitry level, mainly within the theta frequency band. These results suggest that prolactin plays a significant role in the acquisition of information during spatial memory learning.
Beyond the direct physiological functions associated with motherhood in mammals, previous studies have suggested the potential role of prolactin (Prl) in distinct brain processes such as neuroprotection, neurogenesis, and stress responses. However, the cognitive influence of Prl remains unclear, particularly regarding the mechanisms of acquisition, consolidation and retrieval of information in the brain. Using chronic implanted electrodes in freely moving female mice combined with behavioral tests, we investigated the rhythmic activity changes induced by Prl in a model of hippocampus-dependent learning and memory. Our results show that Prl improves the learning of a spatial memory task in the acquisition stage. The main variations at the circuitry level were in the theta frequency band (4-8 Hz and 8-12 Hz), marked by a faster change in oscillatory activity with no modifications to higher frequencies. These results show that Prl plays a significant role in the acquisition of information during learning of a spatial memory task, suggesting that an increase in Prl levels may induce changes in circuital network plasticity.

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