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Xiang LY, Chen XY, Lu LM, Kong MH, Ji Q, Xiong Y, Xie MM, Jian XL, Zhu ZR. Mechanisms of Neuronal Reactivation in Memory Consolidation: A Perspective from Pathological Conditions. Neuroscience 2024; 551:196-204. [PMID: 38810690 DOI: 10.1016/j.neuroscience.2024.05.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 05/19/2024] [Accepted: 05/23/2024] [Indexed: 05/31/2024]
Abstract
Memory consolidation refers to a process by which labile newly formed memory traces are progressively strengthened into long term memories and become more resistant to interference. Recent work has revealed that spontaneous hippocampal activity during rest, commonly referred to as "offline" activity, plays a critical role in the process of memory consolidation. Hippocampal reactivation occurs during sharp-wave ripples (SWRs), which are events associated with highly synchronous neural firing in the hippocampus and modulation of neural activity in distributed brain regions. Memory consolidation occurs primarily through a coordinated communication between hippocampus and neocortex. Cortical slow oscillations drive the repeated reactivation of hippocampal memory representations together with SWRs and thalamo-cortical spindles, inducing long-lasting cellular and network modifications responsible for memory stabilization.In this review, we aim to comprehensively cover the field of "reactivation and memory consolidation" research by detailing the physiological mechanisms of neuronal reactivation and firing patterns during SWRs and providing a discussion of more recent key findings. Several mechanistic explanations of neuropsychiatric diseases propose that impaired neural replay may underlie some of the symptoms of the disorders. Abnormalities in neuronal reactivation are a common phenomenon and cause pathological impairment in several diseases, such as Alzheimer's disease (AD), epilepsy and schizophrenia. However, the specific pathological changes and mechanisms of reactivation in each disease are different. Recent work has also enlightened some of the underlying pathological mechanisms of neuronal reactivation in these diseases. In this review, we further describe how SWRs, ripples and slow oscillations are affected in Alzheimer's disease, epilepsy, and schizophrenia. We then compare the differences of neuronal reactivation and discuss how different reactivation abnormalities cause pathological changes in these diseases. Aberrant neural reactivation provides insights into disease pathogenesis and may even serve as biomarkers for early disease progression and treatment response.
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Affiliation(s)
- Lei-Ying Xiang
- School of Educational Sciences, Chongqing Normal University, Chongqing, PR China
| | - Xiao-Yi Chen
- School of Educational Sciences, Chongqing Normal University, Chongqing, PR China
| | - Li-Ming Lu
- School of Educational Sciences, Chongqing Normal University, Chongqing, PR China
| | - Ming-Hui Kong
- School of Educational Sciences, Chongqing Normal University, Chongqing, PR China
| | - Qi Ji
- Department of Medical Psychology, Army Medical University, Chongqing, PR China
| | - Yu Xiong
- Department of Stomatology, Southwest Hospital, Chongqing, PR China
| | - Mei-Ming Xie
- Chinese People's Liberation Army Western Theater General Hospital, Chengdu, PR China
| | - Xin-Ling Jian
- No. 950 Hospital of the Chinese People's Liberation Army, Yecheng, PR China
| | - Zhi-Ru Zhu
- Department of Medical Psychology, Army Medical University, Chongqing, PR China.
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2
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Pendry RJ, Quigley LD, Volk LJ, Pfeiffer BE. A Lightweight Drive Implant for Chronic Tetrode Recordings in Juvenile Mice. J Vis Exp 2023. [PMID: 37335110 PMCID: PMC10903788 DOI: 10.3791/65228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023] Open
Abstract
In vivo electrophysiology provides unparalleled insight into the sub-second-level circuit dynamics of the intact brain and represents a method of particular importance for studying mouse models of human neuropsychiatric disorders. However, such methods often require large cranial implants, which cannot be used in mice at early developmental time points. As such, virtually no studies of in vivo physiology have been performed in freely behaving infant or juvenile mice, despite the fact that a better understanding of neurological development in this critical window would likely provide unique insights into age-dependent developmental disorders such as autism or schizophrenia. Here, a micro-drive design, surgical implantation procedure, and post-surgery recovery strategy are described that allow for chronic field and single-unit recordings from multiple brain regions simultaneously in mice as they age from postnatal day 20 (p20) to postnatal day 60 (p60) and beyond, a time window roughly corresponding to the human ages of 2 years old through to adulthood. The number of recording electrodes and final recording sites can be easily modified and expanded, thus allowing flexible experimental control of the in vivo monitoring of behavior- or disease-relevant brain regions across development.
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Affiliation(s)
- Robert J Pendry
- Department of Neuroscience, UT Southwestern Medical Center; Neuroscience Graduate Program, UT Southwestern Medical Center
| | - Lilyana D Quigley
- Department of Neuroscience, UT Southwestern Medical Center; Neuroscience Graduate Program, UT Southwestern Medical Center
| | - Lenora J Volk
- Department of Neuroscience, UT Southwestern Medical Center; O'Donnell Brain Institute, UT Southwestern Medical Center; Department of Psychiatry, UT Southwestern Medical Center
| | - Brad E Pfeiffer
- Department of Neuroscience, UT Southwestern Medical Center; O'Donnell Brain Institute, UT Southwestern Medical Center;
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3
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Pendry RJ, Quigley LD, Volk LJ, Pfeiffer BE. A novel, lightweight drive implant for chronic tetrode recordings in juvenile mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.04.522760. [PMID: 36711560 PMCID: PMC9881909 DOI: 10.1101/2023.01.04.522760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
SHORT ABSTRACT We describe a novel micro-drive design, surgical implantation procedure, and post-surgery recovery strategy that allows for chronic field and single-unit recordings from up to sixteen brain regions simultaneously in juvenile and adolescent mice across a critical developmental window from p20 to p60 and beyond. LONG ABSTRACT In vivo electrophysiology provides unparalleled insight into sub-second-level circuit dynamics of the intact brain and represents a method of particular importance for studying mouse models of human neuro-psychiatric disorders. However, such methods often require large cranial implants which cannot be used in mice at early developmental timepoints. As such, virtually no studies of in vivo physiology have been performed in freely behaving infant or juvenile mice, despite the fact that a better understanding of neurological development in this critical window is likely to provide unique insights into age-dependent developmental disorders such as autism or schizophrenia. Here, we describe a novel micro-drive design, surgical implantation procedure, and post-surgery recovery strategy that allows for chronic field and single-unit recordings from up to sixteen brain regions simultaneously in mice as they age from postnatal day 20 (p20) to postnatal day 60 (p60) and beyond, a time window roughly corresponding to human ages 2-years-old through adult. The number of recording electrodes and final recording sites can be easily modified and expanded, allowing flexible experimental control of in vivo monitoring of behavior- or disease-relevant brain regions across development.
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Affiliation(s)
- Robert J Pendry
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX,Neuroscience Graduate Program, UT Southwestern Medical Center, Dallas, TX
| | - Lilyana D Quigley
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX,Neuroscience Graduate Program, UT Southwestern Medical Center, Dallas, TX
| | - Lenora J Volk
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX,O’Donnell Brain Institute, UT Southwestern Medical Center, Dallas, TX,Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX
| | - Brad E Pfeiffer
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX,O’Donnell Brain Institute, UT Southwestern Medical Center, Dallas, TX
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4
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Musa A, Khan S, Mujahid M, El-Gaby M. The shallow cognitive map hypothesis: A hippocampal framework for thought disorder in schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:34. [PMID: 35853896 PMCID: PMC9261089 DOI: 10.1038/s41537-022-00247-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 03/11/2022] [Indexed: 12/31/2022]
Abstract
Memories are not formed in isolation. They are associated and organized into relational knowledge structures that allow coherent thought. Failure to express such coherent thought is a key hallmark of Schizophrenia. Here we explore the hypothesis that thought disorder arises from disorganized Hippocampal cognitive maps. In doing so, we combine insights from two key lines of investigation, one concerning the neural signatures of cognitive mapping, and another that seeks to understand lower-level cellular mechanisms of cognition within a dynamical systems framework. Specifically, we propose that multiple distinct pathological pathways converge on the shallowing of Hippocampal attractors, giving rise to disorganized Hippocampal cognitive maps and driving conceptual disorganization. We discuss the available evidence at the computational, behavioural, network, and cellular levels. We also outline testable predictions from this framework, including how it could unify major chemical and psychological theories of schizophrenia and how it can provide a rationale for understanding the aetiology and treatment of the disease.
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Affiliation(s)
- Ayesha Musa
- Green Templeton College, University of Oxford, Oxford, OX2 6HG, UK
| | - Safia Khan
- Green Templeton College, University of Oxford, Oxford, OX2 6HG, UK
| | - Minahil Mujahid
- St Anne's college, University of Oxford, Oxford, OX2 6HS, UK
| | - Mohamady El-Gaby
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX1 3SR, UK.
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5
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Abstract
In human neuroscience, studies of cognition are rarely grounded in non-task-evoked, 'spontaneous' neural activity. Indeed, studies of spontaneous activity tend to focus predominantly on intrinsic neural patterns (for example, resting-state networks). Taking a 'representation-rich' approach bridges the gap between cognition and resting-state communities: this approach relies on decoding task-related representations from spontaneous neural activity, allowing quantification of the representational content and rich dynamics of such activity. For example, if we know the neural representation of an episodic memory, we can decode its subsequent replay during rest. We argue that such an approach advances cognitive research beyond a focus on immediate task demand and provides insight into the functional relevance of the intrinsic neural pattern (for example, the default mode network). This in turn enables a greater integration between human and animal neuroscience, facilitating experimental testing of theoretical accounts of intrinsic activity, and opening new avenues of research in psychiatry.
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6
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Hsu SY, Jura B, Shih MH, Meyrand P, Tsai FS, Bem T. Recognition of post-learning alteration of hippocampal ripples by convolutional neural network differs in the wild-type and AD mice. Sci Rep 2021; 11:21241. [PMID: 34711860 PMCID: PMC8553820 DOI: 10.1038/s41598-021-00598-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 10/11/2021] [Indexed: 11/09/2022] Open
Abstract
Evidence indicates that sharp-wave ripples (SWRs) are primary network events supporting memory processes. However, some studies demonstrate that even after disruption of awake SWRs the animal can still learn spatial task or that SWRs may be not necessary to establish a cognitive map of the environment. Moreover, we have found recently that despite a deficit of sleep SWRs the APP/PS1 mice, a model of Alzheimer’s disease, show undisturbed spatial reference memory. Searching for a learning-related alteration of SWRs that could account for the efficiency of memory in these mice we use convolutional neural networks (CNN) to discriminate pre- and post-learning 256 ms samples of LFP signals, containing individual SWRs. We found that the fraction of samples that were correctly recognized by CNN in majority of discrimination sessions was equal to ~ 50% in the wild-type (WT) and only 14% in APP/PS1 mice. Moreover, removing signals generated in a close vicinity of SWRs significantly diminished the number of such highly recognizable samples in the WT but not in APP/PS1 group. These results indicate that in WT animals a large subset of SWRs and signals generated in their proximity may contain learning-related information whereas such information seem to be limited in the AD mice.
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Affiliation(s)
- Sheng-Yi Hsu
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, 40402, Taiwan.,Research Center for Interneural Computing, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Bartosz Jura
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Ks. Trojdena 4, 02-109, Warsaw, Poland.,Institute of Applied Psychology, Jagiellonian University, Cracow, Poland
| | - Mau-Hsiang Shih
- Research Center for Interneural Computing, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Pierre Meyrand
- Neurocentre Magendie, INSERM U1215, University Bordeaux, Bordeaux, France
| | - Feng-Sheng Tsai
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, 40402, Taiwan.,Research Center for Interneural Computing, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Tiaza Bem
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Ks. Trojdena 4, 02-109, Warsaw, Poland.
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7
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Speers LJ, Bilkey DK. Disorganization of Oscillatory Activity in Animal Models of Schizophrenia. Front Neural Circuits 2021; 15:741767. [PMID: 34675780 PMCID: PMC8523827 DOI: 10.3389/fncir.2021.741767] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/16/2021] [Indexed: 01/02/2023] Open
Abstract
Schizophrenia is a chronic, debilitating disorder with diverse symptomatology, including disorganized cognition and behavior. Despite considerable research effort, we have only a limited understanding of the underlying brain dysfunction. In this article, we review the potential role of oscillatory circuits in the disorder with a particular focus on the hippocampus, a region that encodes sequential information across time and space, as well as the frontal cortex. Several mechanistic explanations of schizophrenia propose that a loss of oscillatory synchrony between and within these brain regions may underlie some of the symptoms of the disorder. We describe how these oscillations are affected in several animal models of schizophrenia, including models of genetic risk, maternal immune activation (MIA) models, and models of NMDA receptor hypofunction. We then critically discuss the evidence for disorganized oscillatory activity in these models, with a focus on gamma, sharp wave ripple, and theta activity, including the role of cross-frequency coupling as a synchronizing mechanism. Finally, we focus on phase precession, which is an oscillatory phenomenon whereby individual hippocampal place cells systematically advance their firing phase against the background theta oscillation. Phase precession is important because it allows sequential experience to be compressed into a single 120 ms theta cycle (known as a 'theta sequence'). This time window is appropriate for the induction of synaptic plasticity. We describe how disruption of phase precession could disorganize sequential processing, and thereby disrupt the ordered storage of information. A similar dysfunction in schizophrenia may contribute to cognitive symptoms, including deficits in episodic memory, working memory, and future planning.
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Affiliation(s)
| | - David K. Bilkey
- Department of Psychology, Otago University, Dunedin, New Zealand
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8
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Nour MM, Liu Y, Arumuham A, Kurth-Nelson Z, Dolan RJ. Impaired neural replay of inferred relationships in schizophrenia. Cell 2021; 184:4315-4328.e17. [PMID: 34197734 PMCID: PMC8357425 DOI: 10.1016/j.cell.2021.06.012] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 04/09/2021] [Accepted: 06/10/2021] [Indexed: 12/19/2022]
Abstract
An ability to build structured mental maps of the world underpins our capacity to imagine relationships between objects that extend beyond experience. In rodents, such representations are supported by sequential place cell reactivations during rest, known as replay. Schizophrenia is proposed to reflect a compromise in structured mental representations, with animal models reporting abnormalities in hippocampal replay and associated ripple activity during rest. Here, utilizing magnetoencephalography (MEG), we tasked patients with schizophrenia and control participants to infer unobserved relationships between objects by reorganizing visual experiences containing these objects. During a post-task rest session, controls exhibited fast spontaneous neural reactivation of presented objects that replayed inferred relationships. Replay was coincident with increased ripple power in hippocampus. Patients showed both reduced replay and augmented ripple power relative to controls, convergent with findings in animal models. These abnormalities are linked to impairments in behavioral acquisition and subsequent neural representation of task structure.
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Affiliation(s)
- Matthew M Nour
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, UK; Wellcome Centre for Human Neuroimaging (WCHN), University College London, London WC1N 3AR, UK; Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London SE5 8AF, UK.
| | - Yunzhe Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Chinese Institute for Brain Research, Beijing 102206, China
| | - Atheeshaan Arumuham
- Department of Psychosis Studies, Institute of Psychiatry Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Zeb Kurth-Nelson
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, UK; Deepmind, London NC1 4AG, UK
| | - Raymond J Dolan
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, UK; Wellcome Centre for Human Neuroimaging (WCHN), University College London, London WC1N 3AR, UK; State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; BIH Visiting Professor, Stiftung Charité, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité - Universitätsmedizin, Berlin, Germany
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9
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Xu X, Song L, Hanganu-Opatz IL. Knock-Down of Hippocampal DISC1 in Immune-Challenged Mice Impairs the Prefrontal-Hippocampal Coupling and the Cognitive Performance Throughout Development. Cereb Cortex 2021; 31:1240-1258. [PMID: 33037815 PMCID: PMC7786359 DOI: 10.1093/cercor/bhaa291] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 08/21/2020] [Accepted: 09/07/2020] [Indexed: 12/31/2022] Open
Abstract
Disrupted-in-schizophrenia 1 (DISC1) gene represents an intracellular hub of developmental processes. When combined with early environmental stressors, such as maternal immune activation, but not in the absence of thereof, whole-brain DISC1 knock-down leads to memory and executive deficits as result of impaired prefrontal–hippocampal communication throughout development. While synaptic dysfunction in neonatal prefrontal cortex (PFC) has been recently identified as one source of abnormal long-range coupling, the contribution of hippocampus (HP) is still unknown. Here, we aim to fill this knowledge gap by combining in vivo electrophysiology and optogenetics with morphological and behavioral assessment of immune-challenged mice with DISC1 knock-down either in the whole brain (GE) or restricted to pyramidal neurons in hippocampal CA1 area (GHPE). We found abnormal network activity, sharp-waves, and neuronal firing in CA1 that complement the deficits in upper layer of PFC. Moreover, optogenetic activating CA1 pyramidal neurons fails to activate the prefrontal local circuits. These deficits that persist till prejuvenile age relate to dendrite sparsification and loss of spines of CA1 pyramidal neurons. As a long-term consequence, DISC1 knock-down in HP leads to poorer recognition memory at prejuvenile age. Thus, DISC1-controlled developmental processes in HP in immune-challenged mice are critical for circuit function and cognitive behavior.
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Affiliation(s)
- Xiaxia Xu
- Institute of Developmental Neurophysiology, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Lingzhen Song
- Institute of Developmental Neurophysiology, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Ileana L Hanganu-Opatz
- Institute of Developmental Neurophysiology, Center for Molecular Neurobiology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
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10
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The hippocampal sharp wave-ripple in memory retrieval for immediate use and consolidation. Nat Rev Neurosci 2019; 19:744-757. [PMID: 30356103 DOI: 10.1038/s41583-018-0077-1] [Citation(s) in RCA: 216] [Impact Index Per Article: 43.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Various cognitive functions have long been known to require the hippocampus. Recently, progress has been made in identifying the hippocampal neural activity patterns that implement these functions. One such pattern is the sharp wave-ripple (SWR), an event associated with highly synchronous neural firing in the hippocampus and modulation of neural activity in distributed brain regions. Hippocampal spiking during SWRs can represent past or potential future experience, and SWR-related interventions can alter subsequent memory performance. These findings and others suggest that SWRs support both memory consolidation and memory retrieval for processes such as decision-making. In addition, studies have identified distinct types of SWR based on representational content, behavioural state and physiological features. These various findings regarding SWRs suggest that different SWR types correspond to different cognitive functions, such as retrieval and consolidation. Here, we introduce another possibility - that a single SWR may support more than one cognitive function. Taking into account classic psychological theories and recent molecular results that suggest that retrieval and consolidation share mechanisms, we propose that the SWR mediates the retrieval of stored representations that can be utilized immediately by downstream circuits in decision-making, planning, recollection and/or imagination while simultaneously initiating memory consolidation processes.
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11
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Boone CE, Davoudi H, Harrold JB, Foster DJ. Abnormal Sleep Architecture and Hippocampal Circuit Dysfunction in a Mouse Model of Fragile X Syndrome. Neuroscience 2018; 384:275-289. [PMID: 29775702 DOI: 10.1016/j.neuroscience.2018.05.012] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2018] [Revised: 05/03/2018] [Accepted: 05/07/2018] [Indexed: 12/19/2022]
Abstract
Fragile X syndrome (FXS) is the most common heritable cause of intellectual disability and single-gene cause of autism spectrum disorder. The Fmr1 null mouse models much of the human disease including hyperarousal, sensory hypersensitivity, seizure activity, and hippocampus-dependent cognitive impairment. Sleep architecture is disorganized in FXS patients, but has not been examined in Fmr1 knockout (Fmr1-KO) mice. Hippocampal neural activity during sleep, which is implicated in memory processing, also remains uninvestigated in Fmr1-KO mice. We performed in vivo electrophysiological studies of freely behaving Fmr1-KO mice to assess neural activity, in the form of single-unit spiking and local field potential (LFP), within the hippocampal CA1 region during multiple differentiated sleep and wake states. Here, we demonstrate that Fmr1-KO mice exhibited a deficit in rapid eye movement sleep (REM) due to a reduction in the frequency of bouts of REM, consistent with sleep architecture abnormalities of FXS patients. Fmr1-KO CA1 pyramidal cells (CA1-PCs) were hyperactive in all sleep and wake states. Increased low gamma power in CA1 suggests that this hyperactivity was related to increased input to CA1 from CA3. By contrast, slower sharp-wave ripple events (SWRs) in Fmr1-KO mice exhibited longer event duration, slower oscillation frequency, with reduced CA1-PC firing rates during SWRs, yet the incidence rate of SWRs remained intact. These results suggest abnormal neuronal activity in the Fmr1-KO mouse during SWRs, and hyperactivity during other wake and sleep states, with likely adverse consequences for memory processes.
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Affiliation(s)
- Christine E Boone
- Medical Scientist Training Program, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Heydar Davoudi
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Psychology and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States
| | - Jon B Harrold
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - David J Foster
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Department of Psychology and Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States.
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12
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Abstract
Hippocampal place cells take part in sequenced patterns of reactivation after behavioral experience, known as replay. Since replay was first reported, nearly 20 years ago, many new results have been found, necessitating revision of the original interpretations. We review some of these results with a focus on the phenomenology of replay.
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Affiliation(s)
- David J Foster
- Department of Psychology and Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720;
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13
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Zaremba JD, Diamantopoulou A, Danielson NB, Grosmark AD, Kaifosh PW, Bowler JC, Liao Z, Sparks FT, Gogos JA, Losonczy A. Impaired hippocampal place cell dynamics in a mouse model of the 22q11.2 deletion. Nat Neurosci 2017; 20:1612-1623. [PMID: 28869582 DOI: 10.1038/nn.4634] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2016] [Accepted: 08/01/2017] [Indexed: 02/08/2023]
Abstract
Hippocampal place cells represent the cellular substrate of episodic memory. Place cell ensembles reorganize to support learning but must also maintain stable representations to facilitate memory recall. Despite extensive research, the learning-related role of place cell dynamics in health and disease remains elusive. Using chronic two-photon Ca2+ imaging in hippocampal area CA1 of wild-type and Df(16)A+/- mice, an animal model of 22q11.2 deletion syndrome, one of the most common genetic risk factors for cognitive dysfunction and schizophrenia, we found that goal-oriented learning in wild-type mice was supported by stable spatial maps and robust remapping of place fields toward the goal location. Df(16)A+/- mice showed a significant learning deficit accompanied by reduced spatial map stability and the absence of goal-directed place cell reorganization. These results expand our understanding of the hippocampal ensemble dynamics supporting cognitive flexibility and demonstrate their importance in a model of 22q11.2-associated cognitive dysfunction.
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Affiliation(s)
- Jeffrey D Zaremba
- Department of Neuroscience, Columbia University, New York, New York, USA
| | - Anastasia Diamantopoulou
- Department of Psychiatry, Columbia University, New York, New York, USA.,Department of Physiology and Cellular Biophysics, Columbia University, New York, New York, USA
| | - Nathan B Danielson
- Department of Neuroscience, Columbia University, New York, New York, USA
| | - Andres D Grosmark
- Department of Neuroscience, Columbia University, New York, New York, USA
| | - Patrick W Kaifosh
- Department of Neuroscience, Columbia University, New York, New York, USA.,Center for Theoretical Neuroscience, Columbia University, New York, New York, USA
| | - John C Bowler
- Department of Neuroscience, Columbia University, New York, New York, USA
| | - Zhenrui Liao
- Department of Neuroscience, Columbia University, New York, New York, USA
| | - Fraser T Sparks
- Department of Neuroscience, Columbia University, New York, New York, USA
| | - Joseph A Gogos
- Department of Neuroscience, Columbia University, New York, New York, USA.,Department of Physiology and Cellular Biophysics, Columbia University, New York, New York, USA
| | - Attila Losonczy
- Department of Neuroscience, Columbia University, New York, New York, USA.,Kavli Institute for Brain Science, Columbia University, New York, New York, USA
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14
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Perreault ML, Fan T, Banasikowski TJ, Grace AA, George SR. The atypical dopamine receptor agonist SKF 83959 enhances hippocampal and prefrontal cortical neuronal network activity in a rat model of cognitive dysfunction. Eur J Neurosci 2017; 46:2015-2025. [PMID: 28677227 DOI: 10.1111/ejn.13635] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Revised: 06/23/2017] [Accepted: 06/25/2017] [Indexed: 12/11/2022]
Abstract
Deficits in neuronal network synchrony in hippocampus and prefrontal cortex have been widely demonstrated in disorders of cognitive dysfunction, including schizophrenia and Alzheimer's disease. The atypical dopamine agonist SKF 83959 has been shown to increase brain-derived neurotrophic factor signalling and suppress activity of glycogen synthase kinase-3 in PFC, two processes important to learning and memory. The purpose of this study was to therefore evaluate the impact of SKF 83959 on oscillatory deficits in methylazoxymethanol acetate (MAM) rat model of schizophrenia. To achieve this, local field potentials were recorded simultaneously from the hippocampus and prefrontal cortex of anesthetized rats at 15 and 90 min following both acute and repeated administration of SKF 83959 (0.4 mg/kg). In MAM rats, but not controls, repeated SKF 83959 treatment increased signal amplitude in hippocampus and enhanced the spectral power of low frequency delta and theta oscillations in this region. In PFC, SKF 83959 increased delta, theta and gamma spectral power. Increased HIP-PFC theta coherence was also evident following acute and repeated SKF 83959. In apparent contradiction to these oscillatory effects, in MAM rats, SKF 83959 inhibited spatial learning and induced a significant increase in thigmotactic behaviour. These findings have uncovered a previously unknown role for SKF 83959 in the positive regulation of hippocampal-prefrontal cortical oscillatory network activity. As SKF 83959 is known to have affinity for a number of receptors, delineating the receptor mechanisms that mediate the positive drug effects on neuronal oscillations could have significant future implications in disorders associated with cognitive dysfunction.
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Affiliation(s)
- Melissa L Perreault
- Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences Bldg. Room 4358, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada
| | - Theresa Fan
- Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences Bldg. Room 4358, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada
| | - Tomek J Banasikowski
- Departments of Neuroscience, Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Anthony A Grace
- Departments of Neuroscience, Psychiatry and Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Susan R George
- Department of Pharmacology and Toxicology, University of Toronto, Medical Sciences Bldg. Room 4358, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.,Department of Medicine, University of Toronto, Toronto, ON, Canada
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15
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Kitanishi T, Ito HT, Hayashi Y, Shinohara Y, Mizuseki K, Hikida T. Network mechanisms of hippocampal laterality, place coding, and goal-directed navigation. J Physiol Sci 2017; 67:247-258. [PMID: 27864684 PMCID: PMC10717435 DOI: 10.1007/s12576-016-0502-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2016] [Accepted: 11/07/2016] [Indexed: 12/23/2022]
Abstract
The hippocampus and associated structures are responsible for episodic memory in humans. In rodents, the most prominent behavioral correlate of hippocampal neural activity is place coding, which is thought to underlie spatial navigation. While episodic memory is considered to be unique to humans in a restricted context, it has been proposed that the same neural circuitry and algorithms that enable spatial coding and navigation also support episodic memory. Here we review the recent progress in neural circuit mechanisms of hippocampal activity by introducing several topics: (1) cooperation and specialization of the bilateral hippocampi, (2) the role of synaptic plasticity in gamma phase-locking of spikes and place cell formation, (3) impaired goal-related activity and oscillations in a mouse model of mental disorders, and (4) a prefrontal-thalamo-hippocampal circuit for goal-directed spatial navigation.
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Affiliation(s)
- Takuma Kitanishi
- Department of Physiology, Osaka City University Graduate School of Medicine, Asahimachi 1-4-3, Abeno-ku, Osaka, 545-8585, Japan
- Center for Brain Science, Osaka City University Graduate School of Medicine, Asahimachi 1-4-3, Abeno-ku, Osaka, 545-8585, Japan
| | - Hiroshi T Ito
- Max Planck Institute for Brain Research, 60438, Frankfurt am Main, Germany
| | - Yuichiro Hayashi
- Frontier Research Center for Post-genome Science and Technology, Hokkaido University, Hokkaido, 001-0021, Japan
| | - Yoshiaki Shinohara
- Laboratory for Neuron-Glia Circuitry, RIKEN Brain Science Institute, Saitama, 351-0198, Japan
| | - Kenji Mizuseki
- Department of Physiology, Osaka City University Graduate School of Medicine, Asahimachi 1-4-3, Abeno-ku, Osaka, 545-8585, Japan.
- Center for Brain Science, Osaka City University Graduate School of Medicine, Asahimachi 1-4-3, Abeno-ku, Osaka, 545-8585, Japan.
| | - Takatoshi Hikida
- Medical Innovation Center, Kyoto University Graduate School of Medicine, 53 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan.
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16
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Spindle Activity Orchestrates Plasticity during Development and Sleep. Neural Plast 2016; 2016:5787423. [PMID: 27293903 PMCID: PMC4884844 DOI: 10.1155/2016/5787423] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Accepted: 04/13/2016] [Indexed: 11/17/2022] Open
Abstract
Spindle oscillations have been described during early brain development and in the adult brain. Besides similarities in temporal patterns and involved brain areas, neonatal spindle bursts (NSBs) and adult sleep spindles (ASSs) show differences in their occurrence, spatial distribution, and underlying mechanisms. While NSBs have been proposed to coordinate the refinement of the maturating neuronal network, ASSs are associated with the implementation of acquired information within existing networks. Along with these functional differences, separate synaptic plasticity mechanisms seem to be recruited. Here, we review the generation of spindle oscillations in the developing and adult brain and discuss possible implications of their differences for synaptic plasticity. The first part of the review is dedicated to the generation and function of ASSs with a particular focus on their role in healthy and impaired neuronal networks. The second part overviews the present knowledge of spindle activity during development and the ability of NSBs to organize immature circuits. Studies linking abnormal maturation of brain wiring with neurological and neuropsychiatric disorders highlight the importance to better elucidate neonatal plasticity rules in future research.
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