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基底前脑苍白球神经元刺激时听觉稳态反应的高密度脑电图。

High-density EEG of auditory steady-state responses during stimulation of basal forebrain parvalbumin neurons.

机构信息

Center for Neuroscience, Korea Institute of Science and Technology (KIST), 5 Hwarang-ro 14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.

Lablup, Inc., 34 Seolleung-ro, Gangnam-gu, Seoul, 06132, Republic of Korea.

出版信息

Sci Data. 2020 Sep 8;7(1):288. doi: 10.1038/s41597-020-00621-z.

DOI:10.1038/s41597-020-00621-z
PMID:32901008
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7478973/
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 50 Hz 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 18.75 ms 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.

摘要

我们呈现了来自自由移动的小鼠皮层的高分辨率脑电 (EEG) 数据,这些数据记录了听觉稳态反应 (ASSRs),其中包括基底前脑 Parvalbumin (BF-PV) 神经元的光遗传学刺激或没有光遗传学刺激。被称为全局工作空间的皮质下中枢回路的 BF-PV 神经元刺激的 ASSRs 数据集(数据集 1)包含由 10、20、30、40 和 50 Hz 点击序列诱发的原始 36 通道 EEG 潜伏期和刺激时间戳的 ASSRs。具有 BF-PV 刺激的 ASSRs 数据集(数据集 2)包含原始的 36 通道 EEG 潜伏期为 0、6.25、12.5 和 18.75 ms 的 40 Hz ASSRs 数据,以及刺激的时间戳。我们提供了数据集和用 Python 编写的分步教程分析脚本,允许对事件相关电位、频谱图和功率的地形进行描述。我们使用耦合振荡器上的时变微扰来补充这个实验数据集。这个公开可用的数据集将对实验和计算神经科学家有益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/7478973/d9a05f18953e/41597_2020_621_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/7478973/c07bcced546e/41597_2020_621_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/7478973/beeb7cb9b19e/41597_2020_621_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/7478973/99e32e0a93df/41597_2020_621_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/7478973/d9a05f18953e/41597_2020_621_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/7478973/c07bcced546e/41597_2020_621_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/7478973/beeb7cb9b19e/41597_2020_621_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/7478973/99e32e0a93df/41597_2020_621_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b19/7478973/d9a05f18953e/41597_2020_621_Fig4_HTML.jpg

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