The interplay between domain-general and domain-specific mechanisms during the time-course of verbal associative learning: An event-related potential study

被引:5
作者
Ramos-Escobar, Neus [1 ,2 ]
Laine, Matti [3 ]
Sanseverino-Dillenburg, Mariana [2 ]
Cucurell, David [2 ]
Francois, Clement [4 ]
Rodriguez-Fornells, Antoni [1 ,2 ,5 ]
机构
[1] Univ Barcelona, LHosp Llobregat, Inst Neurosci, Dept Cognit Dev & Educ Sci, Barcelona 08097, Spain
[2] Hosp Llobregat, Bellvitge Biomed Res Inst IDIBELL, Cognit & Brain Plast Grp, Barcelona 08097, Spain
[3] Abo Akad Univ, Dept Psychol, FIN-20500 Turku, Finland
[4] Aix Marseille Univ, CNRS, LPL, F-13100 Aix En Provence, France
[5] ICREA, Catalan Inst Res & Adv Studies, Barcelona, Spain
关键词
Verbal associative learning; Memory; EEG; N400; Vocabulary acquisition; INFERIOR PARIETAL LOBULE; LONG-TERM-MEMORY; COGNITIVE CONTROL; BRAIN POTENTIALS; INDIVIDUAL-DIFFERENCES; LEXICAL CONSOLIDATION; MEANING ACQUISITION; RECOGNITION MEMORY; RETRIEVAL PRACTICE; PREFRONTAL CORTEX;
D O I
10.1016/j.neuroimage.2021.118443
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Humans continuously learn new information. Here, we examined the temporal brain dynamics of explicit verbal associative learning between unfamiliar items. In the first experiment, 25 adults learned object-pseudoword associations during a 5-day training program allowing us to track the N400 dynamics across learning blocks within and across days. Successful learning was accompanied by an initial frontal N400 that decreased in amplitude across blocks during the first day and shifted to parietal sites during the last training day. In Experiment 2, we replicated our findings with 38 new participants randomly assigned to a consistent learning or an inconsistent learning group. The N400 amplitude modulations that we found, both within and between learning sessions, are taken to reflect the emergence of novel lexical traces even when learning concerns items for which no semantic information is provided. The shift in N400 topography suggests that different N400 neural generators may contribute to specific word learning steps through a balance between domain-general and language-specific mechanisms.
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页数:13
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