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量化多电极记录中的网络特性:体外小鼠体感皮层诱发电γ振荡的时空特征和试验间变异性。

Quantifying network properties in multi-electrode recordings: spatiotemporal characterization and inter-trial variation of evoked gamma oscillations in mouse somatosensory cortex in vitro.

机构信息

Laboratoire de Recherche en Neuroimagerie, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois and University of Lausanne Lausanne, Switzerland.

出版信息

Front Comput Neurosci. 2013 Oct 16;7:134. doi: 10.3389/fncom.2013.00134. eCollection 2013.

Abstract

Linking the structural connectivity of brain circuits to their cooperative dynamics and emergent functions is a central aim of neuroscience research. Graph theory has recently been applied to study the structure-function relationship of networks, where dynamical similarity of different nodes has been turned into a "static" functional connection. However, the capability of the brain to adapt, learn and process external stimuli requires a constant dynamical functional rewiring between circuitries and cell assemblies. Hence, we must capture the changes of network functional connectivity over time. Multi-electrode array data present a unique challenge within this framework. We study the dynamics of gamma oscillations in acute slices of the somatosensory cortex from juvenile mice recorded by planar multi-electrode arrays. Bursts of gamma oscillatory activity lasting a few hundred milliseconds could be initiated only by brief trains of electrical stimulations applied at the deepest cortical layers and simultaneously delivered at multiple locations. Local field potentials were used to study the spatio-temporal properties and the instantaneous synchronization profile of the gamma oscillatory activity, combined with current source density (CSD) analysis. Pair-wise differences in the oscillation phase were used to determine the presence of instantaneous synchronization between the different sites of the circuitry during the oscillatory period. Despite variation in the duration of the oscillatory response over successive trials, they showed a constant average power, suggesting that the rate of expenditure of energy during the gamma bursts is consistent across repeated stimulations. Within each gamma burst, the functional connectivity map reflected the columnar organization of the neocortex. Over successive trials, an apparently random rearrangement of the functional connectivity was observed, with a more stable columnar than horizontal organization. This work reveals new features of evoked gamma oscillations in developing cortex.

摘要

将大脑回路的结构连接与其协同动力学和涌现功能联系起来,是神经科学研究的核心目标。图论最近被应用于研究网络的结构-功能关系,其中不同节点的动力学相似性被转化为“静态”功能连接。然而,大脑适应、学习和处理外部刺激的能力需要在电路和细胞集合之间不断进行动态功能重新布线。因此,我们必须捕捉网络功能连接随时间的变化。多电极阵列数据在这个框架内提出了一个独特的挑战。我们研究了来自幼年小鼠体感皮层的急性切片中通过平面多电极阵列记录的γ 振荡动力学。持续几百毫秒的γ 振荡活动爆发只能通过在最深的皮层层施加短暂的电刺激串并同时在多个位置施加来启动。局部场电位被用于研究γ 振荡活动的时空特性和瞬时同步轮廓,结合电流源密度(CSD)分析。在振荡期间,通过对不同电路部位之间的相位进行成对差异来确定它们之间是否存在瞬时同步。尽管在连续试验中,振荡反应的持续时间存在差异,但它们表现出恒定的平均功率,这表明在γ 爆发期间能量的消耗率在重复刺激之间是一致的。在每个γ 爆发中,功能连接图反映了新皮层的柱状组织。在连续的试验中,观察到功能连接的明显随机重新排列,柱状组织比水平组织更稳定。这项工作揭示了发育皮层中诱发 γ 振荡的新特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/093d/3797413/7dbb675375bd/fncom-07-00134-g0001.jpg

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