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dc.contributor.authorHwang, Eunjin-
dc.contributor.authorHan, Hio-Been-
dc.contributor.authorKim, Jung Young-
dc.contributor.authorChoi, Jee Hyun-
dc.date.accessioned2024-01-19T16:34:28Z-
dc.date.available2024-01-19T16:34:28Z-
dc.date.created2021-09-02-
dc.date.issued2020-09-
dc.identifier.issn2052-4463-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/118178-
dc.description.abstractWe present high-density EEG datasets of auditory steady-state responses (ASSRs) recorded from the cortex of freely moving mice with or without optogenetic stimulation of basal forebrain parvalbumin (BF-PV) neurons, known as a subcortical hub circuit for the global workspace. The dataset of ASSRs without BF-PV stimulation (dataset 1) contains raw 36-channel EEG epochs of ASSRs elicited by 10, 20, 30, 40, and 50Hz click trains and time stamps of stimulations. The dataset of ASSRs with BF-PV stimulation (dataset 2) contains raw 36-channel EEG epochs of 40-Hz ASSRs during BF-PV stimulation with latencies of 0, 6.25, 12.5, and 18.75ms and time stamps of stimulations. We provide the datasets and step-by-step tutorial analysis scripts written in Python, allowing for descriptions of the event-related potentials, spectrograms, and the topography of power. We complement this experimental dataset with simulation results using a time-dependent perturbation on coupled oscillators. This publicly available dataset will be beneficial to the experimental and computational neuroscientists.-
dc.languageEnglish-
dc.publisherNATURE RESEARCH-
dc.titleHigh-density EEG of auditory steady-state responses during stimulation of basal forebrain parvalbumin neurons-
dc.typeArticle-
dc.identifier.doi10.1038/s41597-020-00621-z-
dc.description.journalClass1-
dc.identifier.bibliographicCitationSCIENTIFIC DATA, v.7, no.1-
dc.citation.titleSCIENTIFIC DATA-
dc.citation.volume7-
dc.citation.number1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000571812600001-
dc.identifier.scopusid2-s2.0-85090382532-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.type.docTypeArticle; Data Paper-
dc.subject.keywordPlusSCHIZOPHRENIA-
dc.subject.keywordPlusMODULATION-
dc.subject.keywordPlusCORTEX-
dc.subject.keywordPlusOSCILLATIONS-
dc.subject.keywordPlusMODEL-
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KIST Article > 2020
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