Auditory ERPs to stimulus deviance in an awake chimpanzee (Pan troglodytes): towards hominid cognitive neurosciences

PloS One
Ari UenoToshikazu Hasegawa

Abstract

For decades, the chimpanzee, phylogenetically closest to humans, has been analyzed intensively in comparative cognitive studies. Other than the accumulation of behavioral data, the neural basis for cognitive processing in the chimpanzee remains to be clarified. To increase our knowledge on the evolutionary and neural basis of human cognition, comparative neurophysiological studies exploring endogenous neural activities in the awake state are needed. However, to date, such studies have rarely been reported in non-human hominid species, due to the practical difficulties in conducting non-invasive measurements on awake individuals. We measured auditory event-related potentials (ERPs) of a fully awake chimpanzee, with reference to a well-documented component of human studies, namely mismatch negativity (MMN). In response to infrequent, deviant tones that were delivered in a uniform sound stream, a comparable ERP component could be detected as negative deflections in early latencies. The present study reports the MMN-like component in a chimpanzee for the first time. In human studies, various ERP components, including MMN, are well-documented indicators of cognitive and neural processing. The results of the present study validate th...Continue Reading

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Citations

Apr 24, 2013·Neuroinformatics·Brad GasserMichael A Arbib
Nov 22, 2008·Schizophrenia Bulletin·Michael F GreenVance Zemon
Mar 28, 2009·Proceedings. Biological Sciences·Fumihiro Kano, Masaki Tomonaga
Dec 18, 2009·Biology Letters·Ari UenoToshikazu Hasegawa
Jan 7, 2014·PeerJ·Hirokata FukushimaToshikazu Hasegawa
Oct 18, 2011·Behavioural Processes·Tiffani J HowellPauleen Bennett
Feb 27, 2013·Scientific Reports·Satoshi HirataToshikazu Hasegawa
Dec 23, 2014·Brain and Language·Adam AttaheriChristopher I Petkov
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Oct 8, 2011·Communicative & Integrative Biology·Satoshi HirataToshikazu Hasegawa
Apr 17, 2020·Frontiers in Neural Circuits·Jordan M Ross, Jordan P Hamm

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