• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

皮质培养物中的自发与微扰复杂性

Spontaneous and Perturbational Complexity in Cortical Cultures.

作者信息

Colombi Ilaria, Nieus Thierry, Massimini Marcello, Chiappalone Michela

机构信息

Brain Development and Disease Laboratory, Istituto Italiano di Tecnologia, 16163 Genova, Italy.

Department of Biomedical and Clinical Sciences "L. Sacco", University of Milan, 20157 Milan, Italy.

出版信息

Brain Sci. 2021 Nov 1;11(11):1453. doi: 10.3390/brainsci11111453.

DOI:10.3390/brainsci11111453
PMID:34827452
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8615728/
Abstract

Dissociated cortical neurons in vitro display spontaneously synchronized, low-frequency firing patterns, which can resemble the slow wave oscillations characterizing sleep in vivo. Experiments in humans, rodents, and cortical slices have shown that awakening or the administration of activating neuromodulators decrease slow waves, while increasing the spatio-temporal complexity of responses to perturbations. In this study, we attempted to replicate those findings using in vitro cortical cultures coupled with micro-electrode arrays and chemically treated with carbachol (CCh), to modulate sleep-like activity and suppress slow oscillations. We adapted metrics such as neural complexity (NC) and the perturbational complexity index (PCI), typically employed in animal and human brain studies, to quantify complexity in simplified, unstructured networks, both during resting state and in response to electrical stimulation. After CCh administration, we found a decrease in the amplitude of the initial response and a marked enhancement of the complexity during spontaneous activity. Crucially, unlike in cortical slices and intact brains, PCI in cortical cultures displayed only a moderate increase. This dissociation suggests that PCI, a measure of the complexity of causal interactions, requires more than activating neuromodulation and that additional factors, such as an appropriate circuit architecture, may be necessary. Exploring more structured in vitro networks, characterized by the presence of strong lateral connections, recurrent excitation, and feedback loops, may thus help to identify the features that are more relevant to support causal complexity.

摘要

体外分离的皮质神经元表现出自发同步的低频放电模式,这可能类似于体内睡眠所特有的慢波振荡。在人类、啮齿动物和皮质切片上进行的实验表明,觉醒或给予激活神经调质会减少慢波,同时增加对扰动反应的时空复杂性。在本研究中,我们试图使用与微电极阵列结合并经卡巴胆碱(CCh)化学处理的体外皮质培养物来复制这些发现,以调节类似睡眠的活动并抑制慢振荡。我们采用了通常用于动物和人类大脑研究的神经复杂性(NC)和扰动复杂性指数(PCI)等指标,来量化简化的、无结构网络在静息状态和对电刺激反应时的复杂性。给予CCh后,我们发现初始反应的幅度降低,自发活动期间的复杂性显著增强。至关重要的是,与皮质切片和完整大脑不同,皮质培养物中的PCI仅适度增加。这种差异表明,PCI作为一种因果相互作用复杂性的度量,不仅需要激活神经调节,还可能需要其他因素,例如适当的电路结构。因此,探索具有强侧向连接、反复兴奋和反馈回路等特征的更结构化的体外网络,可能有助于确定与支持因果复杂性更相关的特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/6fbc4a76c4b2/brainsci-11-01453-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/c34d0137a708/brainsci-11-01453-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/985659592d50/brainsci-11-01453-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/5fca4d08e88c/brainsci-11-01453-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/a28f4d40c2a7/brainsci-11-01453-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/b9becf69ba7a/brainsci-11-01453-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/77e478057c32/brainsci-11-01453-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/6fbc4a76c4b2/brainsci-11-01453-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/c34d0137a708/brainsci-11-01453-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/985659592d50/brainsci-11-01453-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/5fca4d08e88c/brainsci-11-01453-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/a28f4d40c2a7/brainsci-11-01453-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/b9becf69ba7a/brainsci-11-01453-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/77e478057c32/brainsci-11-01453-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9c7/8615728/6fbc4a76c4b2/brainsci-11-01453-g007.jpg

相似文献

1
Spontaneous and Perturbational Complexity in Cortical Cultures.皮质培养物中的自发与微扰复杂性
Brain Sci. 2021 Nov 1;11(11):1453. doi: 10.3390/brainsci11111453.
2
Modulation of cortical slow oscillations and complexity across anesthesia levels.调制皮层慢波振荡和麻醉水平的复杂度。
Neuroimage. 2021 Jan 1;224:117415. doi: 10.1016/j.neuroimage.2020.117415. Epub 2020 Oct 1.
3
A Simplified In vitro Experimental Model Encompasses the Essential Features of Sleep.一种简化的体外实验模型涵盖了睡眠的基本特征。
Front Neurosci. 2016 Jul 7;10:315. doi: 10.3389/fnins.2016.00315. eCollection 2016.
4
Bistability, Causality, and Complexity in Cortical Networks: An In Vitro Perturbational Study.皮质网络中的双稳定性、因果关系和复杂性:一项体外扰动研究。
Cereb Cortex. 2018 Jul 1;28(7):2233-2242. doi: 10.1093/cercor/bhx122.
5
Sleep/wake changes in perturbational complexity in rats and mice.大鼠和小鼠睡眠/觉醒状态下微扰复杂性的变化
iScience. 2023 Feb 13;26(3):106186. doi: 10.1016/j.isci.2023.106186. eCollection 2023 Mar 17.
6
Impact of GABA and GABA Inhibition on Cortical Dynamics and Perturbational Complexity during Synchronous and Desynchronized States.GABA 及其抑制对同步和去同步状态下皮层动力学和微扰复杂性的影响。
J Neurosci. 2021 Jun 9;41(23):5029-5044. doi: 10.1523/JNEUROSCI.1837-20.2021. Epub 2021 Apr 27.
7
Spontaneous high-frequency (10-80 Hz) oscillations during up states in the cerebral cortex in vitro.体外培养的大脑皮层在去极化状态下的自发性高频(10 - 80赫兹)振荡。
J Neurosci. 2008 Dec 17;28(51):13828-44. doi: 10.1523/JNEUROSCI.2684-08.2008.
8
Laminar evoked responses in mouse somatosensory cortex suggest a special role for deep layers in cortical complexity.层状诱发反应在小鼠体感皮层中表明深层在皮层复杂性中具有特殊作用。
Eur J Neurosci. 2024 Mar;59(5):752-770. doi: 10.1111/ejn.16108. Epub 2023 Aug 16.
9
Understanding the temporal evolution of neuronal connectivity in cultured networks using statistical analysis.利用统计分析理解培养网络中神经元连接的时间演化。
BMC Neurosci. 2014 Jan 21;15:17. doi: 10.1186/1471-2202-15-17.
10
Synchronization of neurons during local field potential oscillations in sensorimotor cortex of awake monkeys.清醒猴子感觉运动皮层局部场电位振荡期间神经元的同步化。
J Neurophysiol. 1996 Dec;76(6):3968-82. doi: 10.1152/jn.1996.76.6.3968.

引用本文的文献

1
Spontaneous Dynamics Predict the Effects of Targeted Intervention in Hippocampal Neuronal Cultures.自发动力学可预测海马神经元培养物中靶向干预的效果。
bioRxiv. 2025 Jul 1:2025.04.29.651327. doi: 10.1101/2025.04.29.651327.
2
Serotonergic Mechanisms in Proteinoid-Based Protocells.基于类蛋白质原细胞中的5-羟色胺能机制。
ACS Chem Neurosci. 2025 Feb 5;16(3):519-542. doi: 10.1021/acschemneuro.4c00801. Epub 2025 Jan 22.
3
How to Integrate Neuroethics into a Neuroscience Course - And Drive Student Engagement with Core Concepts.

本文引用的文献

1
Consciousness and complexity: a consilience of evidence.意识与复杂性:证据的一致性
Neurosci Conscious. 2021 Aug 30;2021(2):niab023. doi: 10.1093/nc/niab023. eCollection 2021.
2
Of maps and grids.关于地图和网格。
Neurosci Conscious. 2021 Sep 21;2021(2):niab022. doi: 10.1093/nc/niab022. eCollection 2021.
3
General Anesthesia Disrupts Complex Cortical Dynamics in Response to Intracranial Electrical Stimulation in Rats.全麻干扰大鼠颅内电刺激反应的复杂皮质动力学。
如何将神经伦理学融入神经科学课程——并激发学生对核心概念的参与度。
J Undergrad Neurosci Educ. 2024 Dec 24;23(1):A26-A34. doi: 10.59390/ZBGO4273. eCollection 2024 Fall.
4
Multielectrode array characterization of human induced pluripotent stem cell derived neurons in co-culture with primary human astrocytes.人诱导多能干细胞源性神经元与人原代星形胶质细胞共培养的多电极阵列特性分析。
PLoS One. 2024 Jun 25;19(6):e0303901. doi: 10.1371/journal.pone.0303901. eCollection 2024.
5
Moral considerability of brain organoids from the perspective of computational architecture.从计算架构角度看脑类器官的道德可考量性。
Oxf Open Neurosci. 2024 Mar 12;3:kvae004. doi: 10.1093/oons/kvae004. eCollection 2024.
6
Multielectrode array characterization of human induced pluripotent stem cell derived neurons in co-culture with primary human astrocytes.与原代人星形胶质细胞共培养的人诱导多能干细胞衍生神经元的多电极阵列表征
bioRxiv. 2024 Mar 8:2024.03.04.583341. doi: 10.1101/2024.03.04.583341.
7
Living-Neuron-Based Autogenerator.基于活神经元的自动生成器。
Sensors (Basel). 2023 Aug 8;23(16):7016. doi: 10.3390/s23167016.
8
cell models merging circadian rhythms and brain waves for personalized neuromedicine.用于个性化神经医学的融合昼夜节律和脑电波的细胞模型。
iScience. 2022 Nov 2;25(12):105477. doi: 10.1016/j.isci.2022.105477. eCollection 2022 Dec 22.
9
LFP Analysis of Brain Injured Anesthetized Animals Undergoing Closed-Loop Intracortical Stimulation.脑损伤麻醉动物闭环皮层刺激的 LFP 分析。
IEEE Trans Neural Syst Rehabil Eng. 2022;30:1441-1451. doi: 10.1109/TNSRE.2022.3177254. Epub 2022 Jun 2.
eNeuro. 2021 Aug 5;8(4). doi: 10.1523/ENEURO.0343-20.2021. Print 2021 Jul-Aug.
4
Emerging Bioelectronics for Brain Organoid Electrophysiology.脑类器官电生理学中的新兴生物电子学。
J Mol Biol. 2022 Feb 15;434(3):167165. doi: 10.1016/j.jmb.2021.167165. Epub 2021 Jul 19.
5
Impact of GABA and GABA Inhibition on Cortical Dynamics and Perturbational Complexity during Synchronous and Desynchronized States.GABA 及其抑制对同步和去同步状态下皮层动力学和微扰复杂性的影响。
J Neurosci. 2021 Jun 9;41(23):5029-5044. doi: 10.1523/JNEUROSCI.1837-20.2021. Epub 2021 Apr 27.
6
Modulation of cortical slow oscillations and complexity across anesthesia levels.调制皮层慢波振荡和麻醉水平的复杂度。
Neuroimage. 2021 Jan 1;224:117415. doi: 10.1016/j.neuroimage.2020.117415. Epub 2020 Oct 1.
7
Challenges in Physiological Phenotyping of hiPSC-Derived Neurons: From 2D Cultures to 3D Brain Organoids.人诱导多能干细胞衍生神经元的生理表型分析挑战:从二维培养到三维脑类器官
Front Cell Dev Biol. 2020 Aug 26;8:797. doi: 10.3389/fcell.2020.00797. eCollection 2020.
8
From Complexity to Consciousness.从复杂性到意识
Trends Neurosci. 2020 Aug;43(8):546-547. doi: 10.1016/j.tins.2020.05.008. Epub 2020 Jul 1.
9
Loss of Snord116 alters cortical neuronal activity in mice: a preclinical investigation of Prader-Willi syndrome.Snord116 缺失改变了小鼠皮质神经元的活性:普拉德-威利综合征的临床前研究。
Hum Mol Genet. 2020 Jul 29;29(12):2051-2064. doi: 10.1093/hmg/ddaa084.
10
Long-Term Activity Dynamics of Single Neurons and Networks.单个神经元和神经网络的长期活动动态
Adv Neurobiol. 2019;22:331-350. doi: 10.1007/978-3-030-11135-9_14.