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  Modeling the effect of locus coeruleus firing on cortical state dynamics and single-trial sensory processing

Safaai, H., Neves, R., Eschenko, O., Logothetis, N., & Panzeri, S. (2015). Modeling the effect of locus coeruleus firing on cortical state dynamics and single-trial sensory processing. Proceedings of the National Academy of Sciences of the United States of America, 112(41), 12834-12839. doi:10.1073/pnas.1516539112.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-4412-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-B5FB-9
Genre: Journal Article

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Safaai, H, Author
Neves, R1, Author              
Eschenko, O1, Author              
Logothetis, NK1, Author              
Panzeri, S2, Author              
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: Neuronal responses to sensory stimuli are not only driven by feedforward sensory pathways but also depend upon intrinsic factors (collectively known as the network state) that include ongoing spontaneous activity and neuromodulation. To understand how these factors together regulate cortical dynamics, we recorded simultaneously spontaneous and somatosensory-evoked multiunit activity from primary somatosensory cortex and from the locus coeruleus (LC) (the neuromodulatory nucleus releasing norepinephrine) in urethane-anesthetized rats. We found that bursts of ipsilateral-LC firing preceded by few tens of milliseconds increases of cortical excitability, and that the 1- to 10-Hz rhythmicity of LC discharge appeared to increase the power of delta-band (1–4 Hz) cortical synchronization. To investigate quantitatively how LC firing might causally influence spontaneous and stimulus-driven cortical dynamics, we then constructed and fitted to these data a model describing the dynamical interaction of stimulus drive, ongoing synchronized cortical activity, and noradrenergic neuromodulation. The model proposes a coupling between LC and cortex that can amplify delta-range cortical fluctuations, and shows how suitably timed phasic LC bursts can lead to enhanced cortical responses to weaker stimuli and increased temporal precision of cortical stimulus-evoked responses. Thus, the temporal structure of noradrenergic modulation may selectively and dynamically enhance or attenuate cortical responses to stimuli. Finally, using the model prediction of single-trial cortical stimulus-evoked responses to discount single-trial state-dependent variability increased by ∼70 the sensory information extracted from cortical responses. This suggests that downstream circuits may extract information more effectively after estimating the state of the circuit transmitting the sensory message.

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 Dates: 2015-10
 Publication Status: Published in print
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 Identifiers: DOI: 10.1073/pnas.1516539112
BibTex Citekey: SafaaiNELP2015
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Title: Proceedings of the National Academy of Sciences of the United States of America
Source Genre: Journal
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Pages: - Volume / Issue: 112 (41) Sequence Number: - Start / End Page: 12834 - 12839 Identifier: -