Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, Eunjin | - |
dc.contributor.author | Han, Hio-Been | - |
dc.contributor.author | Kim, Jung Young | - |
dc.contributor.author | Choi, Jee Hyun | - |
dc.date.accessioned | 2024-01-19T16:34:28Z | - |
dc.date.available | 2024-01-19T16:34:28Z | - |
dc.date.created | 2021-09-02 | - |
dc.date.issued | 2020-09 | - |
dc.identifier.issn | 2052-4463 | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/118178 | - |
dc.description.abstract | We 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.language | English | - |
dc.publisher | NATURE RESEARCH | - |
dc.title | High-density EEG of auditory steady-state responses during stimulation of basal forebrain parvalbumin neurons | - |
dc.type | Article | - |
dc.identifier.doi | 10.1038/s41597-020-00621-z | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | SCIENTIFIC DATA, v.7, no.1 | - |
dc.citation.title | SCIENTIFIC DATA | - |
dc.citation.volume | 7 | - |
dc.citation.number | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.wosid | 000571812600001 | - |
dc.identifier.scopusid | 2-s2.0-85090382532 | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.type.docType | Article; Data Paper | - |
dc.subject.keywordPlus | SCHIZOPHRENIA | - |
dc.subject.keywordPlus | MODULATION | - |
dc.subject.keywordPlus | CORTEX | - |
dc.subject.keywordPlus | OSCILLATIONS | - |
dc.subject.keywordPlus | MODEL | - |
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