Nonmonotonic spatial structure of interneuronal correlations in prefrontal microcircuits

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 associati...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 115; no. 15; pp. E3539 - E3548
Main Authors Safavi, Shervin, Dwarakanath, Abhilash, Kapoor, Vishal, Werner, Joachim, Hatsopoulos, Nicholas G., Logothetis, Nikos K., Panagiotaropoulos, Theofanis I.
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 10.04.2018
SeriesPNAS Plus
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Summary: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.
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Reviewers: M.R.M., University of California, Los Angeles; and B.P., New York University.
Contributed by Nikos K. Logothetis, February 20, 2018 (sent for review June 21, 2017; reviewed by Mayank R. Mehta and Bijan Pesaran)
Author contributions: N.K.L. and T.I.P. designed research; A.D., V.K., J.W., and T.I.P. performed research; N.G.H. and N.K.L. contributed new reagents/analytic tools; S.S., A.D., V.K., and T.I.P. analyzed data; and S.S., A.D., V.K., N.G.H., N.K.L., and T.I.P. wrote the paper.
1S.S. and A.D. contributed equally to this work.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1802356115