Literature DB >> 29279309

Evidence for Long-Timescale Patterns of Synaptic Inputs in CA1 of Awake Behaving Mice.

Ilya Kolb1, Giovanni Talei Franzesi2, Michael Wang1, Suhasa B Kodandaramaiah3, Craig R Forest4, Edward S Boyden5,6, Annabelle C Singer7.   

Abstract

Repeated sequences of neural activity are a pervasive feature of neural networks in vivo and in vitro In the hippocampus, sequential firing of many neurons over periods of 100-300 ms reoccurs during behavior and during periods of quiescence. However, it is not known whether the hippocampus produces longer sequences of activity or whether such sequences are restricted to specific network states. Furthermore, whether long repeated patterns of activity are transmitted to single cells downstream is unclear. To answer these questions, we recorded intracellularly from hippocampal CA1 of awake, behaving male mice to examine both subthreshold activity and spiking output in single neurons. In eight of nine recordings, we discovered long (900 ms) reoccurring subthreshold fluctuations or "repeats." Repeats generally were high-amplitude, nonoscillatory events reoccurring with 10 ms precision. Using statistical controls, we determined that repeats occurred more often than would be expected from unstructured network activity (e.g., by chance). Most spikes occurred during a repeat, and when a repeat contained a spike, the spike reoccurred with precision on the order of ≤20 ms, showing that long repeated patterns of subthreshold activity are strongly connected to spike output. Unexpectedly, we found that repeats occurred independently of classic hippocampal network states like theta oscillations or sharp-wave ripples. Together, these results reveal surprisingly long patterns of repeated activity in the hippocampal network that occur nonstochastically, are transmitted to single downstream neurons, and strongly shape their output. This suggests that the timescale of information transmission in the hippocampal network is much longer than previously thought.SIGNIFICANCE STATEMENT We found long (≥900 ms), repeated, subthreshold patterns of activity in CA1 of awake, behaving mice. These repeated patterns ("repeats") occurred more often than expected by chance and with 10 ms precision. Most spikes occurred within repeats and reoccurred with a precision on the order of 20 ms. Surprisingly, there was no correlation between repeat occurrence and classical network states such as theta oscillations and sharp-wave ripples. These results provide strong evidence that long patterns of activity are repeated and transmitted to downstream neurons, suggesting that the hippocampus can generate longer sequences of repeated activity than previously thought.
Copyright © 2018 the authors 0270-6474/18/381822-14$15.00/0.

Entities:  

Keywords:  hippocampus; intracellular activity; subthreshold patterns

Mesh:

Year:  2017        PMID: 29279309      PMCID: PMC5815460          DOI: 10.1523/JNEUROSCI.1519-17.2017

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  47 in total

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Journal:  Neuron       Date:  2000-11       Impact factor: 17.173

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Authors:  J D Rolston; D A Wagenaar; S M Potter
Journal:  Neuroscience       Date:  2007-07-05       Impact factor: 3.590

3.  The statistics of repeating patterns of cortical activity can be reproduced by a model network of stochastic binary neurons.

Authors:  Alex Roxin; Vincent Hakim; Nicolas Brunel
Journal:  J Neurosci       Date:  2008-10-15       Impact factor: 6.167

4.  Formation and reverberation of sequential neural activity patterns evoked by sensory stimulation are enhanced during cortical desynchronization.

Authors:  Edgar J Bermudez Contreras; Andrea Gomez Palacio Schjetnan; Arif Muhammad; Peter Bartho; Bruce L McNaughton; Bryan Kolb; Aaron J Gruber; Artur Luczak
Journal:  Neuron       Date:  2013-08-07       Impact factor: 17.173

5.  A sequence predicting CA3 is a flexible associator that learns and uses context to solve hippocampal-like tasks.

Authors:  W B Levy
Journal:  Hippocampus       Date:  1996       Impact factor: 3.899

6.  Cellular basis of EEG slow rhythms: a study of dynamic corticothalamic relationships.

Authors:  D Contreras; M Steriade
Journal:  J Neurosci       Date:  1995-01       Impact factor: 6.167

7.  Effects and mechanisms of wakefulness on local cortical networks.

Authors:  Christine M Constantinople; Randy M Bruno
Journal:  Neuron       Date:  2011-03-24       Impact factor: 17.173

8.  Spontaneous subthreshold membrane potential fluctuations and action potential variability of rat corticostriatal and striatal neurons in vivo.

Authors:  E A Stern; A E Kincaid; C J Wilson
Journal:  J Neurophysiol       Date:  1997-04       Impact factor: 2.714

9.  Intracellular dynamics of hippocampal place cells during virtual navigation.

Authors:  Christopher D Harvey; Forrest Collman; Daniel A Dombeck; David W Tank
Journal:  Nature       Date:  2009-10-15       Impact factor: 49.962

10.  Statistical significance of precisely repeated intracellular synaptic patterns.

Authors:  Yuji Ikegaya; Wataru Matsumoto; Huei-Yu Chiou; Rafael Yuste; Gloster Aaron
Journal:  PLoS One       Date:  2008-12-19       Impact factor: 3.240

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