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  • 标题:Nonmonotonic spatial structure of interneuronal correlations in prefrontal microcircuits
  • 本地全文:下载
  • 作者:Shervin Safavi ; Abhilash Dwarakanath ; Vishal Kapoor
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2018
  • 卷号:115
  • 期号:15
  • 页码:E3539-E3548
  • DOI:10.1073/pnas.1802356115
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Correlated fluctuations of single neuron discharges, on a mesoscopic scale, decrease as a function of lateral distance in early sensory cortices, reflecting a rapid spatial decay of lateral connection probability and excitation. However, spatial periodicities in horizontal connectivity and associational input as well as an enhanced probability of lateral excitatory connections in the association cortex could theoretically result in nonmonotonic correlation structures. Here, we show such a spatially nonmonotonic correlation structure, characterized by significantly positive long-range correlations, in the inferior convexity of the macaque prefrontal cortex. This functional connectivity kernel was more pronounced during wakefulness than anesthesia and could be largely attributed to the spatial pattern of correlated variability between functionally similar neurons during structured visual stimulation. These results suggest that the spatial decay of lateral functional connectivity is not a common organizational principle of neocortical microcircuits. A nonmonotonic correlation structure could reflect a critical topological feature of prefrontal microcircuits, facilitating their role in integrative processes.
  • 关键词:functional connectivity ; prefrontal cortex ; network structure ; long-range interactions ; noise correlations
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