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      Prefrontal-hippocampal theta coherence, sharp wave ripples, and bursts of cortical unit activity underlie choices and encoding in the radial arm maze

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      1 , , 2
      BMC Neuroscience
      BioMed Central
      24th Annual Computational Neuroscience Meeting: CNS*2015
      18-23 July 2015

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          Abstract

          The radial arm maze (RAM) is a foraging task that is often used to assess executive function guided decision-making [1-3]. Optimal foraging strategies on this task require the integration of executive and memory systems, which include retrospective and prospective codes. To explore the neural basis of decision-making during RAM performance, the current study acquired multielectrode single-unit and local field potential (LFP) recordings simultaneously in hippocampus (HC) and anterior cingulate (ACC). Initially, rats were presented with four of the eight total maze arms open at once ("training phase"), and the rest of the arms were opened up after the subjects collected the rewards and a one-minute delay was completed ("test phase"). Any arm re-entries were counted as errors, and only trials with one test phase error or less were used in the analysis. ACC unit firing was elevated at choice points and reduced at reward points. Moreover, both ACC and the HC showed elevated theta power shortly prior to the reward point and sharp wave ripples shortly after reward acquisition on correct choices only, which is consistent with findings in other choice tasks [4,5]. These observations held during test phase (Figure 1, right panels) and were disrupted during the training phase in ACC, but not the HC (Figure 1, left panels). It has been suggested that HC sharp wave ripples contain episodes of replay of visited locations and theta of locations ahead of the animal [4,5] - information necessary for decision-making using both prospective and retrospective codes. Theta and ripples are present in the HC during both training and test phases, consistent with lesion evidence that hippocampus is necessary for both prospective and retrospective strategies [1]. In ACC, theta and ripples are only present during test phase and not during training phase, which is in line the evidence showing that prefrontal cortex is only necessary for prospective coding [1]. These task phase-dependent observations may help explain how HC and ACC networks integrate information related to prospective and retrospective codes. Figure 1 Average hippocampal and prefrontal theta and SWR power centered on reward acquisition. During test choices (B, D), PFC (D) activity resembles that in HC (B). On the other hand, during training (A, C), HC (A) shows the pattern of activity associated with reward sites, and PFC (C) does not. Shaded regions, 95% confidence intervals

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          Awake hippocampal sharp-wave ripples support spatial memory.

          The hippocampus is critical for spatial learning and memory. Hippocampal neurons in awake animals exhibit place field activity that encodes current location, as well as sharp-wave ripple (SWR) activity during which representations based on past experiences are often replayed. The relationship between these patterns of activity and the memory functions of the hippocampus is poorly understood. We interrupted awake SWRs in animals learning a spatial alternation task. We observed a specific learning and performance deficit that persisted throughout training. This deficit was associated with awake SWR activity, as SWR interruption left place field activity and post-experience SWR reactivation intact. These results provide a link between awake SWRs and hippocampal memory processes, which suggests that awake replay of memory-related information during SWRs supports learning and memory-guided decision-making.
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            Coherent theta oscillations and reorganization of spike timing in the hippocampal- prefrontal network upon learning.

            To study the interplay between hippocampus and medial prefrontal cortex (Pfc) and its importance for learning and memory consolidation, we measured the coherence in theta oscillations between these two structures in rats learning new rules on a Y maze. Coherence peaked at the choice point, most strongly after task rule acquisition. Simultaneously, Pfc pyramidal neurons reorganized their phase, concentrating at hippocampal theta trough, and synchronous cell assemblies emerged. This synchronous state may result from increased inhibition exerted by interneurons on pyramidal cells, as measured by cross-correlation, and could be modulated by dopamine: we found similar hippocampal-Pfc theta coherence increases and neuronal phase shifts following local administration of dopamine in Pfc of anesthetized rats. Pfc cell assemblies emerging during high coherence were preferentially replayed during subsequent sleep, concurrent with hippocampal sharp waves. Thus, hippocampal/prefrontal coherence could lead to synchronization of reward predicting activity in prefrontal networks, tagging it for subsequent memory consolidation.
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              Successful choice behavior is associated with distinct and coherent network states in anterior cingulate cortex.

              Successful decision making requires an ability to monitor contexts, actions, and outcomes. The anterior cingulate cortex (ACC) is thought to be critical for these functions, monitoring and guiding decisions especially in challenging situations involving conflict and errors. A number of different single-unit correlates have been observed in the ACC that reflect the diverse cognitive components involved. Yet how ACC neurons function as an integrated network is poorly understood. Here we show, using advanced population analysis of multiple single-unit recordings from the rat ACC during performance of an ecologically valid decision-making task, that ensembles of neurons move through different coherent and dissociable states as the cognitive requirements of the task change. This organization into distinct network patterns with respect to both firing-rate changes and correlations among units broke down during trials with numerous behavioral errors, especially at choice points of the task. These results point to an underlying functional organization into cell assemblies in the ACC that may monitor choices, outcomes, and task contexts, thus tracking the animal's progression through "task space."
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                Author and article information

                Contributors
                Conference
                BMC Neurosci
                BMC Neurosci
                BMC Neuroscience
                BioMed Central
                1471-2202
                2015
                4 December 2015
                : 16
                : Suppl 1
                : P139
                Affiliations
                [1 ]Program in Neuroscience, Indiana University, Bloomington, IN 47401, USA
                [2 ]Addiction Neuroscience Program, Indiana University-Purdue University, Indianapolis, IN 46202, USA
                Article
                1471-2202-16-S1-P139
                10.1186/1471-2202-16-S1-P139
                4697615
                ad4147fa-8de3-4f52-a8bf-c725a00dded1
                Copyright © 2015 Myroshnychenko and Lapish

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                24th Annual Computational Neuroscience Meeting: CNS*2015
                Prague, Czech Republic
                18-23 July 2015
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