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EEG potentials associated with artificial grammar learning in the primate brain
Journal article   Open access   Peer reviewed

EEG potentials associated with artificial grammar learning in the primate brain

Adam Attaheri, Yukiko Kikuchi, Alice E. Milne, Benjamin Wilson, Kai Alter and Christopher I. Petkov
Brain and language, Vol.148, pp.74-80
09/2015
DOI: 10.1016/j.bandl.2014.11.006
PMCID: PMC4557543
PMID: 25529405
url
https://doi.org/10.1016/j.bandl.2014.11.006View
Published (Version of record) Open Access

Abstract

•First combined EEG and Artificial Grammar (AG) learning study in nonhuman animals.•Early and late frontal potentials modulated in response to violations of the AG sequencing relationships in the primate brain.•Informative similarities and differences are noted in relation to reported human EEG potentials associated with AG learning. Electroencephalography (EEG) has identified human brain potentials elicited by Artificial Grammar (AG) learning paradigms, which present participants with rule-based sequences of stimuli. Nonhuman animals are sensitive to certain AGs; therefore, evaluating which EEG Event Related Potentials (ERPs) are associated with AG learning in nonhuman animals could identify evolutionarily conserved processes. We recorded EEG potentials during an auditory AG learning experiment in two Rhesus macaques. The animals were first exposed to sequences of nonsense words generated by the AG. Then surface-based ERPs were recorded in response to sequences that were ‘consistent’ with the AG and ‘violation’ sequences containing illegal transitions. The AG violations strongly modulated an early component, potentially homologous to the Mismatch Negativity (mMMN), a P200 and a late frontal positivity (P500). The macaque P500 is similar in polarity and time of occurrence to a late EEG positivity reported in human AG learning studies but might differ in functional role.
Communication Comparative neurobiology Electroencephalography (EEG) Event Related Potentials (ERPs) Language mMMN Monkey Primate Statistical learning

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