Large-Scale and Multiscale Networks in the Rodent Brain during Novelty Exploration

被引:3
作者
Cohen, Michael X. [1 ]
Englitz, Bernhard [2 ]
Franca, Arthur S. C. [1 ]
机构
[1] Radboud Univ Nijmegen, Med Ctr, Donders Ctr Med Neurosci, NL-6525 GA Nijmegen, Netherlands
[2] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Computat Neurosci Lab, Dept Neurophysiol, Nijmegen, Netherlands
基金
欧洲研究理事会; 荷兰研究理事会;
关键词
cortex; eigendecomposition; local field potential; networks; oscillations; source separation; DIMENSIONALITY REDUCTION; THETA OSCILLATIONS; SYNCHRONIZATION; CORTEX; EEG; HIPPOCAMPUS; POTENTIALS; MODELS; FIELDS; PHASE;
D O I
10.1523/ENEURO.0494-20.2021
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Neural activity is coordinated across multiple spatial and temporal scales, and these patterns of coordination are implicated in both healthy and impaired cognitive operations. However, empirical cross-scale investigations are relatively infrequent, because of limited data availability and to the difficulty of analyzing rich multivariate datasets. Here, we applied frequency-resolved multivariate source-separation analyses to characterize a large-scale dataset comprising spiking and local field potential (LFP) activity recorded simultaneously in three brain regions (prefrontal cortex, parietal cortex, hippocampus) in freely-moving mice. We identified a constellation of multidimensional, inter-regional networks across a range of frequencies (2-200 Hz). These networks were reproducible within animals across different recording sessions, but varied across different animals, suggesting individual variability in network architecture. The theta band (similar to 4-10 Hz) networks had several prominent features, including roughly equal contribution from all regions and strong inter-network synchronization. Overall, these findings demonstrate a multidimensional landscape of large-scale functional activations of cortical networks operating across multiple spatial, spectral, and temporal scales during open-field exploration.
引用
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页数:14
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