Central Nervous System Clinical Trial
Official title:
Rapid Declarative Neocortical Declarative Learning in Aging and Memory
Learning a person's name, new words, or simply remembering where the last conversation with a friend was held are examples of associative memory, frequently disturbed in brain pathologies, but also by aging. Although typically dependent on the hippocampus in the brain, a series of findings suggest that associative memory may persist, under certain circumstances, despite hippocampal damage. The ANéRAVIMM project aims to reveal this learning system, its cognitive and cerebral bases, and to evaluate its potential in patients with memory disorders.
Three experimental cognitive tasks will be used in the ANéRAVIMM study. The first two tasks have been selected based on the literature and previous work of CHU Rennes team. They are two experiments that have produced promising results concerning the existence of a rapid neocortical learning system in declarative memory, and have in common the use of prior knowledge to promote learning. In the first part of the study, these two tasks will be put in competition for their resistance to the effects of age. Brain aging is characterized by its deleterious impact on hippocampal functioning, and memory aging leads to an alteration of associative memory. Therefore, this first part will allow the learning paradigm that presents the best potential in brain-damaged patients to be retained in the second part of the ANéRAVIMM study. The third task stems from recent work by CHU Rennes team in collaboration with Dr. Besson of the University of Liege, in the context of a very recent model of memory. It aims at estimating the ability to develop a representation of visual objects in memory at the entity level, i.e. an integrated representation, unifying all the perceptual, conceptual and contextual features of perceived information. This task has been adapted for the ANéRAVIMM project in order to test the hypothesis that this mnemonic representational level of the entity in memory could support rapid neocortical associative learning in declarative memory. ;
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