Literature DB >> 25126786

State-dependent architecture of thalamic reticular subnetworks.

Michael M Halassa1, Zhe Chen2, Ralf D Wimmer3, Philip M Brunetti4, Shengli Zhao5, Basilis Zikopoulos6, Fan Wang5, Emery N Brown7, Matthew A Wilson4.   

Abstract

Behavioral state is known to influence interactions between thalamus and cortex, which are important for sensation, action, and cognition. The thalamic reticular nucleus (TRN) is hypothesized to regulate thalamo-cortical interactions, but the underlying functional architecture of this process and its state dependence are unknown. By combining the first TRN ensemble recording with psychophysics and connectivity-based optogenetic tagging, we found reticular circuits to be composed of distinct subnetworks. While activity of limbic-projecting TRN neurons positively correlates with arousal, sensory-projecting neurons participate in spindles and show elevated synchrony by slow waves during sleep. Sensory-projecting neurons are suppressed by attentional states, demonstrating that their gating of thalamo-cortical interactions is matched to behavioral state. Bidirectional manipulation of attentional performance was achieved through subnetwork-specific optogenetic stimulation. Together, our findings provide evidence for differential inhibition of thalamic nuclei across brain states, where the TRN separately controls external sensory and internal limbic processing facilitating normal cognitive function. PAPERFLICK:
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25126786      PMCID: PMC4205482          DOI: 10.1016/j.cell.2014.06.025

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  69 in total

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Journal:  J Neurosci       Date:  2012-04-11       Impact factor: 6.167

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  115 in total

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Review 6.  Mechanisms of systems memory consolidation during sleep.

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7.  Synaptic properties of the feedback connections from the thalamic reticular nucleus to the dorsal lateral geniculate nucleus.

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Review 9.  Circuit-based interrogation of sleep control.

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10.  Validation of an automated sleep spindle detection method for mouse electroencephalography.

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Journal:  Sleep       Date:  2019-02-01       Impact factor: 5.849

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