1
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Choudhary K, Berberich S, Hahn TTG, McFarland JM, Mehta MR. Spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity. Nat Commun 2024; 15:3542. [PMID: 38719802 PMCID: PMC11079062 DOI: 10.1038/s41467-024-47617-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 04/04/2024] [Indexed: 05/12/2024] Open
Abstract
Understanding the functional connectivity between brain regions and its emergent dynamics is a central challenge. Here we present a theory-experiment hybrid approach involving iteration between a minimal computational model and in vivo electrophysiological measurements. Our model not only predicted spontaneous persistent activity (SPA) during Up-Down-State oscillations, but also inactivity (SPI), which has never been reported. These were confirmed in vivo in the membrane potential of neurons, especially from layer 3 of the medial and lateral entorhinal cortices. The data was then used to constrain two free parameters, yielding a unique, experimentally determined model for each neuron. Analytic and computational analysis of the model generated a dozen quantitative predictions about network dynamics, which were all confirmed in vivo to high accuracy. Our technique predicted functional connectivity; e. g. the recurrent excitation is stronger in the medial than lateral entorhinal cortex. This too was confirmed with connectomics data. This technique uncovers how differential cortico-entorhinal dialogue generates SPA and SPI, which could form an energetically efficient working-memory substrate and influence the consolidation of memories during sleep. More broadly, our procedure can reveal the functional connectivity of large networks and a theory of their emergent dynamics.
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Affiliation(s)
- Krishna Choudhary
- Department of Physics and Astronomy, University of California, Los Angeles, Los Angeles, CA, USA
- HRL Laboratories, Malibu, CA, USA
| | - Sven Berberich
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | | | | | - Mayank R Mehta
- Department of Physics and Astronomy, University of California, Los Angeles, Los Angeles, CA, USA.
- W. M. Keck Center for Neurophysics, University of California, Los Angeles, CA, USA.
- Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA.
- Departments of Neurology and Neurobiology, University of California, Los Angeles, Los Angeles, CA, USA.
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2
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Applegate MC, Gutnichenko KS, Aronov D. Topography of inputs into the hippocampal formation of a food-caching bird. J Comp Neurol 2023; 531:1669-1688. [PMID: 37553864 PMCID: PMC10611445 DOI: 10.1002/cne.25533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 07/12/2023] [Accepted: 07/24/2023] [Indexed: 08/10/2023]
Abstract
The mammalian hippocampal formation (HF) is organized into domains associated with different functions. These differences are driven in part by the pattern of input along the hippocampal long axis, such as visual input to the septal hippocampus and amygdalar input to the temporal hippocampus. HF is also organized along the transverse axis, with different patterns of neural activity in the hippocampus and the entorhinal cortex. In some birds, a similar organization has been observed along both of these axes. However, it is not known what role inputs play in this organization. We used retrograde tracing to map inputs into HF of a food-caching bird, the black-capped chickadee. We first compared two locations along the transverse axis: the hippocampus and the dorsolateral hippocampal area (DL), which is analogous to the entorhinal cortex. We found that pallial regions predominantly targeted DL, while some subcortical regions like the lateral hypothalamus (LHy) preferentially targeted the hippocampus. We then examined the hippocampal long axis and found that almost all inputs were topographic along this direction. For example, the anterior hippocampus was preferentially innervated by thalamic regions, while the posterior hippocampus received more amygdalar input. Some of the topographies we found bear a resemblance to those described in the mammalian brain, revealing a remarkable anatomical similarity of phylogenetically distant animals. More generally, our work establishes the pattern of inputs to HF in chickadees. Some of these patterns may be unique to chickadees, laying the groundwork for studying the anatomical basis of these birds' exceptional hippocampal memory.
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Affiliation(s)
| | | | - Dmitriy Aronov
- Zuckerman Mind Brain Behavior Institute Columbia University
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3
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Kleven H, Bjerke IE, Clascá F, Groenewegen HJ, Bjaalie JG, Leergaard TB. Waxholm Space atlas of the rat brain: a 3D atlas supporting data analysis and integration. Nat Methods 2023; 20:1822-1829. [PMID: 37783883 PMCID: PMC10630136 DOI: 10.1038/s41592-023-02034-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 09/01/2023] [Indexed: 10/04/2023]
Abstract
Volumetric brain atlases are increasingly used to integrate and analyze diverse experimental neuroscience data acquired from animal models, but until recently a publicly available digital atlas with complete coverage of the rat brain has been missing. Here we present an update of the Waxholm Space rat brain atlas, a comprehensive open-access volumetric atlas resource. This brain atlas features annotations of 222 structures, of which 112 are new and 57 revised compared to previous versions. It provides a detailed map of the cerebral cortex, hippocampal region, striatopallidal areas, midbrain dopaminergic system, thalamic cell groups, the auditory system and main fiber tracts. We document the criteria underlying the annotations and demonstrate how the atlas with related tools and workflows can be used to support interpretation, integration, analysis and dissemination of experimental rat brain data.
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Affiliation(s)
- Heidi Kleven
- Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Ingvild E Bjerke
- Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Francisco Clascá
- Department of Anatomy and Neuroscience, Autónoma de Madrid University, Madrid, Spain
| | - Henk J Groenewegen
- Department of Anatomy and Neurosciences, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Jan G Bjaalie
- Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Trygve B Leergaard
- Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
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4
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Ying R, Hamlette L, Nikoobakht L, Balaji R, Miko N, Caras ML. Organization of orbitofrontal-auditory pathways in the Mongolian gerbil. J Comp Neurol 2023; 531:1459-1481. [PMID: 37477903 PMCID: PMC10529810 DOI: 10.1002/cne.25525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/11/2023] [Accepted: 06/26/2023] [Indexed: 07/22/2023]
Abstract
Sound perception is highly malleable, rapidly adjusting to the acoustic environment and behavioral demands. This flexibility is the result of ongoing changes in auditory cortical activity driven by fluctuations in attention, arousal, or prior expectations. Recent work suggests that the orbitofrontal cortex (OFC) may mediate some of these rapid changes, but the anatomical connections between the OFC and the auditory system are not well characterized. Here, we used virally mediated fluorescent tracers to map the projection from OFC to the auditory midbrain, thalamus, and cortex in a classic animal model for auditory research, the Mongolian gerbil (Meriones unguiculatus). We observed no connectivity between the OFC and the auditory midbrain, and an extremely sparse connection between the dorsolateral OFC and higher order auditory thalamic regions. In contrast, we observed a robust connection between the ventral and medial subdivisions of the OFC and the auditory cortex, with a clear bias for secondary auditory cortical regions. OFC axon terminals were found in all auditory cortical lamina but were significantly more concentrated in the infragranular layers. Tissue-clearing and lightsheet microscopy further revealed that auditory cortical-projecting OFC neurons send extensive axon collaterals throughout the brain, targeting both sensory and non-sensory regions involved in learning, decision-making, and memory. These findings provide a more detailed map of orbitofrontal-auditory connections and shed light on the possible role of the OFC in supporting auditory cognition.
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Affiliation(s)
- Rose Ying
- Neuroscience and Cognitive Science Program, University of Maryland, College Park, Maryland, 20742
- Department of Biology, University of Maryland, College Park, Maryland, 20742
- Center for Comparative and Evolutionary Biology of Hearing, University of Maryland, College Park, Maryland, 20742
| | - Lashaka Hamlette
- Department of Biology, University of Maryland, College Park, Maryland, 20742
| | - Laudan Nikoobakht
- Department of Biology, University of Maryland, College Park, Maryland, 20742
| | - Rakshita Balaji
- Department of Biology, University of Maryland, College Park, Maryland, 20742
| | - Nicole Miko
- Department of Biology, University of Maryland, College Park, Maryland, 20742
| | - Melissa L. Caras
- Neuroscience and Cognitive Science Program, University of Maryland, College Park, Maryland, 20742
- Department of Biology, University of Maryland, College Park, Maryland, 20742
- Center for Comparative and Evolutionary Biology of Hearing, University of Maryland, College Park, Maryland, 20742
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5
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Reiten I, Olsen GM, Bjaalie JG, Witter MP, Leergaard TB. The efferent connections of the orbitofrontal, posterior parietal, and insular cortex of the rat brain. Sci Data 2023; 10:645. [PMID: 37735463 PMCID: PMC10514078 DOI: 10.1038/s41597-023-02527-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 08/31/2023] [Indexed: 09/23/2023] Open
Abstract
The orbitofrontal, posterior parietal, and insular cortices are sites of higher-order cognitive processing implicated in a wide range of behaviours, including working memory, attention guiding, decision making, and spatial navigation. To better understand how these regions contribute to such functions, we need detailed knowledge about the underlying structural connectivity. Several tract-tracing studies have investigated specific aspects of orbitofrontal, posterior parietal and insular connectivity, but a digital resource for studying the cortical and subcortical projections from these areas in detail is not available. We here present a comprehensive collection of brightfield and fluorescence microscopic images of serial coronal sections from 49 rat brain tract-tracing experiments, in which discrete injections of the anterograde tracers biotinylated dextran amine and/or Phaseolus vulgaris leucoagglutinin were placed in the orbitofrontal, parietal, or insular cortex. The images are spatially registered to the Waxholm Space Rat brain atlas. The image collection, with corresponding reference atlas maps, is suitable as a reference framework for investigating the brain-wide efferent connectivity of these cortical association areas.
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Affiliation(s)
- Ingrid Reiten
- Neural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Grethe M Olsen
- Kavli Institute for Systems Neuroscience, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - Jan G Bjaalie
- Neural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Menno P Witter
- Kavli Institute for Systems Neuroscience, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - Trygve B Leergaard
- Neural Systems Laboratory, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
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6
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Haghir H, Kuckertz A, Zhao L, Hami J, Palomero-Gallagher N. A new map of the rat isocortex and proisocortex: cytoarchitecture and M 2 receptor distribution patterns. Brain Struct Funct 2023:10.1007/s00429-023-02654-7. [PMID: 37318645 DOI: 10.1007/s00429-023-02654-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 05/13/2023] [Indexed: 06/16/2023]
Abstract
Neurotransmitters and their receptors are key molecules in information transfer between neurons, thus enabling inter-areal communication. Therefore, multimodal atlases integrating the brain's cyto- and receptor architecture constitute crucial tools to understand the relationship between its structural and functional segregation. Cholinergic muscarinic M2 receptors have been shown to be an evolutionarily conserved molecular marker of primary sensory areas in the mammalian brain. To complement existing rodent atlases, we applied a silver cell body staining and quantitative in vitro receptor autoradiographic visualization of M2 receptors to alternating sections throughout the entire brain of five adult male Wistar rats (three sectioned coronally, one horizontally, one sagittally). Histological sections and autoradiographs were scanned at a spatial resolution of 1 µm and 20 µm per pixel, respectively, and files were stored as 8 bit images. We used these high-resolution datasets to create an atlas of the entire rat brain, including the olfactory bulb, cerebellum and brainstem. We describe the cyto- and M2 receptor architectonic features of 48 distinct iso- and proisocortical areas across the rat forebrain and provide their mean M2 receptor density. The ensuing parcellation scheme, which is discussed in the framework of existing comprehensive atlasses, includes the novel subdivision of mediomedial secondary visual area Oc2MM into anterior (Oc2MMa) and posterior (Oc2MMp) parts, and of lateral visual area Oc2L into rostrolateral (Oc2Lr), intermediate dorsolateral (Oc2Lid), intermediate ventrolateral (Oc2Liv) and caudolateral (Oc2Lc) secondary visual areas. The M2 receptor densities and the comprehensive map of iso-and proisocortical areas constitute useful tools for future computational and neuroscientific studies.
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Affiliation(s)
- Hossein Haghir
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany
- Department of Anatomy and Cell Biology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Medical Genetic Research Center (MGRC), School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Anika Kuckertz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany
| | - Ling Zhao
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany
| | - Javad Hami
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany
- Faculty of Medicine, HMU Health and Medical University Potsdam, 14471, Potsdam, Germany
| | - Nicola Palomero-Gallagher
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425, Jülich, Germany.
- C. & O. Vogt Institute of Brain Research, Heinrich-Heine-University Düsseldorf, 40225, Düsseldorf, Germany.
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7
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Applegate MC, Gutnichenko KS, Aronov D. Topography of inputs into the hippocampal formation of a food-caching bird. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.14.532572. [PMID: 36993579 PMCID: PMC10054989 DOI: 10.1101/2023.03.14.532572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
The mammalian hippocampal formation (HF) is organized into domains associated with different functions. These differences are driven in part by the pattern of input along the hippocampal long axis, such as visual input to the septal hippocampus and amygdalar input to temporal hippocampus. HF is also organized along the transverse axis, with different patterns of neural activity in the hippocampus and the entorhinal cortex. In some birds, a similar organization has been observed along both of these axes. However, it is not known what role inputs play in this organization. We used retrograde tracing to map inputs into HF of a food-caching bird, the black-capped chickadee. We first compared two locations along the transverse axis: the hippocampus and the dorsolateral hippocampal area (DL), which is analogous to the entorhinal cortex. We found that pallial regions predominantly targeted DL, while some subcortical regions like the lateral hypothalamus (LHy) preferentially targeted the hippocampus. We then examined the hippocampal long axis and found that almost all inputs were topographic along this direction. For example, the anterior hippocampus was preferentially innervated by thalamic regions, while posterior hippocampus received more amygdalar input. Some of the topographies we found bear resemblance to those described in the mammalian brain, revealing a remarkable anatomical similarity of phylogenetically distant animals. More generally, our work establishes the pattern of inputs to HF in chickadees. Some of these patterns may be unique to chickadees, laying the groundwork for studying the anatomical basis of these birds ’ exceptional hippocampal memory.
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Affiliation(s)
| | | | - Dmitriy Aronov
- Zuckerman Mind Brain Behavior Institute, Columbia University
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8
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The role of sibling aggression during childhood in decision-making during adulthood. CURRENT PSYCHOLOGY 2023. [DOI: 10.1007/s12144-023-04475-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
AbstractResearch shows sibling relationships can influence cognitive development, specifically in terms of high-order processes involved in social functioning. These high-order processes take place in the human prefrontal cortex. While prefrontal connectivity can be influenced by factors experienced during developmental phases, it remains unclear how experiences of aggression towards a sibling in childhood can contribute to high-order processes in adulthood, specifically decision-making. Through two studies, we sought to establish a relationship between sibling aggression and decision-making styles reported in adulthood, as well as real-time risky decision-making. Study 1 examined the relationship between childhood experiences of sibling aggression and high-order function, specifically decision-making. Self-reports from 142 adult participants revealed that using sibling aggression to maintain dominance (ESAS; Harrison, Harrison, N. (2017). Sibling aggression: Associations with parenting styles, social dominance behaviour and co-occurring forms of family aggression (Doctoral thesis, University of Central Lancashire, UK). Retrieved from: https://clok.uclan.ac.uk/20917/) was linked to avoidant and spontaneous decision-making (GDMS; Scott & Bruce, Scott and Bruce, Educational and Psychological Measurement 55:818–831, 1995). The findings reported here indicate a possible role of sibling aggression in the development of avoidant and spontaneous decision-making styles. Study 2 investigated the relationship between childhood sibling aggression (ESAS; Harrison, Harrison, N. (2017). Sibling aggression: Associations with parenting styles, social dominance behaviour and co-occurring forms of family aggression (Doctoral thesis, University of Central Lancashire, UK). Retrieved from: https://clok.uclan.ac.uk/20917/) and performance in risky decision-making tasks (IOWA gambling task; Bechara et al., Bechara et al., Brain 123:2189–2202, 2000) among 75 adult participants. It revealed that experiences of sibling aggression did not predict risky decision-making. These findings indicate that the types of decisions made may be influenced by childhood sibling aggression, but not the level of risk involved in decisions made.
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9
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Vertes RP, Hoover WB, Witter MP, Yanik MF, Rojas AKP, Linley SB. Projections from the five divisions of the orbital cortex to the thalamus in the rat. J Comp Neurol 2023; 531:217-237. [PMID: 36226328 PMCID: PMC9772129 DOI: 10.1002/cne.25419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 09/08/2022] [Accepted: 09/14/2022] [Indexed: 12/24/2022]
Abstract
The orbital cortex (ORB) of the rat consists of five divisions: the medial (MO), ventral (VO), ventrolateral (VLO), lateral (LO), and dorsolateral (DLO) orbital cortices. No previous report has comprehensively examined and compared projections from each division of the ORB to the thalamus. Using the anterograde anatomical tracer, Phaseolus vulgaris leucoagglutinin, we describe the efferent projections from the five divisions of the ORB to the thalamus in the rat. We demonstrated that, with some overlap, each division of the ORB distributed in a distinct (and unique) manner to nuclei of the thalamus. Overall, ORB projected to a relatively restricted number of sites in the thalamus, and strikingly distributed entirely to structures of the medial/midline thalamus, while completely avoiding lateral regions or principal nuclei of the thalamus. The main termination sites in the thalamus were the paratenial nucleus (PT) and nucleus reuniens (RE) of the midline thalamus, the medial (MDm) and central (MDc) divisions of the mediodorsal nucleus, the intermediodorsal nucleus, the central lateral, paracentral, and central medial nuclei of the rostral intralaminar complex and the submedial nucleus (SM). With some exceptions, medial divisions of the ORB (MO, VO) mainly targeted "limbic-associated" nuclei such as PT, RE, and MDm, whereas lateral division (VLO, LO, DLO) primarily distributed to "sensorimotor-associated" nuclei including MDc, SM, and the rostral intralaminar complex. As discussed herein, the medial/midline thalamus may represent an important link (or bridge) between the orbital cortex and the hippocampus and between the ORB and medial prefrontal cortex. In summary, the present results demonstrate that each division of the orbital cortex projects in a distinct manner to nuclei of the thalamus which suggests unique functions for each division of the orbital cortex.
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Affiliation(s)
- Robert P Vertes
- Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, Florida, USA
- Department of Psychology, Florida Atlantic University, Boca Raton, Florida, USA
| | - Walter B Hoover
- Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, Florida, USA
| | - Menno P Witter
- Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Mehmet Fatih Yanik
- Institute of Neuroinformatics, D-ITET, ETH, University of Zurich, Zurich, Switzerland
| | - Amanda K P Rojas
- Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, Florida, USA
| | - Stephanie B Linley
- Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, Florida, USA
- Department of Psychology, Florida Atlantic University, Boca Raton, Florida, USA
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10
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Entorhinal grid-like codes and time-locked network dynamics track others navigating through space. Nat Commun 2023; 14:231. [PMID: 36720865 PMCID: PMC9889810 DOI: 10.1038/s41467-023-35819-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 01/03/2023] [Indexed: 02/01/2023] Open
Abstract
Navigating through crowded, dynamically changing environments requires the ability to keep track of other individuals. Grid cells in the entorhinal cortex are a central component of self-related navigation but whether they also track others' movement is unclear. Here, we propose that entorhinal grid-like codes make an essential contribution to socio-spatial navigation. Sixty human participants underwent functional magnetic resonance imaging (fMRI) while observing and re-tracing different paths of a demonstrator that navigated a virtual reality environment. Results revealed that grid-like codes in the entorhinal cortex tracked the other individual navigating through space. The activity of grid-like codes was time-locked to increases in co-activation and entorhinal-cortical connectivity that included the striatum, the hippocampus, parahippocampal and right posterior parietal cortices. Surprisingly, the grid-related effects during observation were stronger the worse participants performed when subsequently re-tracing the demonstrator's paths. Our findings suggests that network dynamics time-locked to entorhinal grid-cell-related activity might serve to distribute information about the location of others throughout the brain.
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11
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Jia X, Ling C, Li Y, Zhang J, Li Z, Jia X, Wang DJJ, Zhang Z, Yuan Y, Yang Q. Sex differences in frontotemporal atrophy in CADASIL revealed by 7-Tesla MRI. Neuroimage Clin 2023; 37:103298. [PMID: 36577270 DOI: 10.1016/j.nicl.2022.103298] [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: 08/25/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
Brain damage caused by small vessel disease (SVD) differs between males and females. We aimed to examine the pure sex-specific neuroanatomical mechanisms of SVD adjusted for voxel-based expected effects of age and sex on healthy brain volume. Thirty-one female and 32 male genetic SVD (cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, CADASIL) patients and 55 sex- and age-matched healthy controls (HCs) underwent 7-Tesla MRI examinations. Voxel-based W-score maps were calculated from volumes and deformations of brain tissues, controlling for the expected effects of age and sex in HCs. Significant cognitive declines in working memory and executive function were identified in male CADASIL patients compared to female patients. Greater gray matter (GM) atrophy was found in the bilateral orbitofrontal cortex (OFC), left anterior cingulate cortex (ACC), left entorhinal cortex (EC), and right temporooccipital cortex in male CADASIL patients than in females. Working memory was associated with volumes in the right OFC specific to female CADASIL patients, whereas visuospatial ability was associated with the right hOcl (primary visual area, BA 17) volume specific to males. The current findings indicate that sex affects the pathogenesis of CADASIL, ranging from differences in neuroanatomy to those in behavioral performance, which may facilitate the development of more effective sex-specific therapeutic strategies for CADASIL and SVD.
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Affiliation(s)
- Xiuqin Jia
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China; Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, China
| | - Chen Ling
- Department of Neurology, Peking University First Hospital, Beijing 100034, China
| | - Yingying Li
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Jinyuan Zhang
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Beijing 100101, China
| | - Zhixin Li
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Beijing 100101, China
| | - Xuejia Jia
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Danny J J Wang
- Lab of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute Keck School of Medicine of University of Southern California, Los Angeles, CA, USA
| | - Zihao Zhang
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, 15 Datun Road, Beijing 100101, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.
| | - Yun Yuan
- Department of Neurology, Peking University First Hospital, Beijing 100034, China.
| | - Qi Yang
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China; Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, China.
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12
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Schultz H, Yoo J, Meshi D, Heekeren HR. Category-specific memory encoding in the medial temporal lobe and beyond: the role of reward. Learn Mem 2022; 29:379-389. [PMID: 36180131 PMCID: PMC9536755 DOI: 10.1101/lm.053558.121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 07/28/2022] [Indexed: 12/15/2022]
Abstract
The medial temporal lobe (MTL), including the hippocampus (HC), perirhinal cortex (PRC), and parahippocampal cortex (PHC), is central to memory formation. Reward enhances memory through interplay between the HC and substantia nigra/ventral tegmental area (SNVTA). While the SNVTA also innervates the MTL cortex and amygdala (AMY), their role in reward-enhanced memory is unclear. Prior research suggests category specificity in the MTL cortex, with the PRC and PHC processing object and scene memory, respectively. It is unknown, however, whether reward modulates category-specific memory processes. Furthermore, no study has demonstrated clear category specificity in the MTL for encoding processes contributing to subsequent recognition memory. To address these questions, we had 39 healthy volunteers (27 for all memory-based analyses) undergo functional magnetic resonance imaging while performing an incidental encoding task pairing objects or scenes with high or low reward, followed by a next-day recognition test. Behaviorally, high reward preferably enhanced object memory. Neural activity in the PRC and PHC reflected successful encoding of objects and scenes, respectively. Importantly, AMY encoding effects were selective for high-reward objects, with a similar pattern in the PRC. The SNVTA and HC showed no clear evidence of successful encoding. This behavioral and neural asymmetry may be conveyed through an anterior-temporal memory system, including the AMY and PRC, potentially in interplay with the ventromedial prefrontal cortex.
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Affiliation(s)
- Heidrun Schultz
- Department of Education and Psychology, Freie Universität Berlin, 14195 Berlin, Germany
- Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, 14195 Berlin, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
| | - Jungsun Yoo
- Department of Education and Psychology, Freie Universität Berlin, 14195 Berlin, Germany
- Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, 14195 Berlin, Germany
- Department of Cognitive Sciences, University of California at Irvine, Irvine, California 92697, USA
| | - Dar Meshi
- Department of Education and Psychology, Freie Universität Berlin, 14195 Berlin, Germany
- Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, 14195 Berlin, Germany
- Department of Advertising and Public Relations, Michigan State University, East Lansing, Michigan 48824, USA
| | - Hauke R Heekeren
- Department of Education and Psychology, Freie Universität Berlin, 14195 Berlin, Germany
- Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, 14195 Berlin, Germany
- Executive University Board, Universität Hamburg, 20148 Hamburg, Germany
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13
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Zbozinek TD, Perez OD, Wise T, Fanselow M, Mobbs D. Ambiguity drives higher-order Pavlovian learning. PLoS Comput Biol 2022; 18:e1010410. [PMID: 36084131 PMCID: PMC9491594 DOI: 10.1371/journal.pcbi.1010410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 09/21/2022] [Accepted: 07/19/2022] [Indexed: 11/18/2022] Open
Abstract
In the natural world, stimulus-outcome associations are often ambiguous, and most associations are highly complex and situation-dependent. Learning to disambiguate these complex associations to identify which specific outcomes will occur in which situations is critical for survival. Pavlovian occasion setters are stimuli that determine whether other stimuli will result in a specific outcome. Occasion setting is a well-established phenomenon, but very little investigation has been conducted on how occasion setters are disambiguated when they themselves are ambiguous (i.e., when they do not consistently signal whether another stimulus will be reinforced). In two preregistered studies, we investigated the role of higher-order Pavlovian occasion setting in humans. We developed and tested the first computational model predicting direct associative learning, traditional occasion setting (i.e., 1st-order occasion setting), and 2nd-order occasion setting. This model operationalizes stimulus ambiguity as a mechanism to engage in higher-order Pavlovian learning. Both behavioral and computational modeling results suggest that 2nd-order occasion setting was learned, as evidenced by lack and presence of transfer of occasion setting properties when expected and the superior fit of our 2nd-order occasion setting model compared to the 1st-order occasion setting or direct associations models. These results provide a controlled investigation into highly complex associative learning and may ultimately lead to improvements in the treatment of Pavlovian-based mental health disorders (e.g., anxiety disorders, substance use).
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Affiliation(s)
- Tomislav D. Zbozinek
- California Institute of Technology, Humanities and Social Sciences, Pasadena, California, United States of America
| | - Omar D. Perez
- California Institute of Technology, Humanities and Social Sciences, Pasadena, California, United States of America
- University of Santiago, CESS-Santiago, Faculty of Business and Economics, Santiago, Chile
- University of Chile, Department of Industrial Engineering, Santiago, Chile
| | - Toby Wise
- California Institute of Technology, Humanities and Social Sciences, Pasadena, California, United States of America
| | - Michael Fanselow
- University of California, Los Angeles, Department of Psychology, Los Angeles, California, United States of America
- University of California, Los Angeles, Department of Psychiatry & Biobehavioral Sciences, Los Angeles, California, United States of America
- University of California, Los Angeles, Staglin Center for Brain and Behavioral Health, Los Angeles, California, United States of America
- University of California, Los Angeles, Brain Research Institute, Los Angeles, California, United States of America
| | - Dean Mobbs
- California Institute of Technology, Humanities and Social Sciences, Pasadena, California, United States of America
- California Institute of Technology, Computation and Neural Systems Program, Pasadena, California, United States of America
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14
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Šimić G, Krsnik Ž, Knezović V, Kelović Z, Mathiasen ML, Junaković A, Radoš M, Mulc D, Španić E, Quattrocolo G, Hall VJ, Zaborszky L, Vukšić M, Olucha Bordonau F, Kostović I, Witter MP, Hof PR. Prenatal development of the human entorhinal cortex. J Comp Neurol 2022; 530:2711-2748. [DOI: 10.1002/cne.25344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 04/30/2022] [Accepted: 05/02/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Goran Šimić
- Department of Neuroscience Croatian Institute for Brain Research University of Zagreb Medical School, Zagreb, HR Croatia
| | - Željka Krsnik
- Department of Neuroscience Croatian Institute for Brain Research University of Zagreb Medical School, Zagreb, HR Croatia
| | - Vinka Knezović
- Department of Neuroscience Croatian Institute for Brain Research University of Zagreb Medical School, Zagreb, HR Croatia
| | - Zlatko Kelović
- Department of Anatomy University of Zagreb Medical School, Zagreb, HR Croatia
| | - Mathias Lysholt Mathiasen
- Department of Veterinary and Animal Sciences Faculty of Health Sciences University of Copenhagen, Frederiksberg C, DK Denmark
| | - Alisa Junaković
- Department of Neuroscience Croatian Institute for Brain Research University of Zagreb Medical School, Zagreb, HR Croatia
| | - Milan Radoš
- Department of Neuroscience Croatian Institute for Brain Research University of Zagreb Medical School, Zagreb, HR Croatia
| | - Damir Mulc
- Psychiatric Hospital Vrapče University of Zagreb Medical School, Zagreb, HR Croatia
| | - Ena Španić
- Department of Neuroscience Croatian Institute for Brain Research University of Zagreb Medical School, Zagreb, HR Croatia
| | - Giulia Quattrocolo
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation Norwegian University of Science and Technology Trondheim NO Norway
| | - Vanessa Jane Hall
- Department of Veterinary and Animal Sciences Faculty of Health Sciences University of Copenhagen, Frederiksberg C, DK Denmark
| | - Laszlo Zaborszky
- Center for Molecular and Behavioral Neuroscience Rutgers, The State University of New Jersey Newark New Jersey USA
| | - Mario Vukšić
- Department of Neuroscience Croatian Institute for Brain Research University of Zagreb Medical School, Zagreb, HR Croatia
| | - Francisco Olucha Bordonau
- Department of Medicine School of Medical Sciences Universitat Jaume I Castellón de la Plana ES Spain
| | - Ivica Kostović
- Department of Neuroscience Croatian Institute for Brain Research University of Zagreb Medical School, Zagreb, HR Croatia
| | - Menno P. Witter
- Kavli Institute for Systems Neuroscience and Centre for Neural Computation Norwegian University of Science and Technology Trondheim NO Norway
| | - Patrick R. Hof
- Nash Family Department of Neuroscience and Friedman Brain Institute Icahn School of Medicine at Mount Sinai New York New York USA
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15
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Vandrey B, Armstrong J, Brown CM, Garden DLF, Nolan MF. Fan cells in lateral entorhinal cortex directly influence medial entorhinal cortex through synaptic connections in layer 1. eLife 2022; 11:83008. [PMID: 36562467 PMCID: PMC9822265 DOI: 10.7554/elife.83008] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
Standard models for spatial and episodic memory suggest that the lateral entorhinal cortex (LEC) and medial entorhinal cortex (MEC) send parallel independent inputs to the hippocampus, each carrying different types of information. Here, we evaluate the possibility that information is integrated between divisions of the entorhinal cortex prior to reaching the hippocampus. We demonstrate that, in mice, fan cells in layer 2 (L2) of LEC that receive neocortical inputs, and that project to the hippocampal dentate gyrus, also send axon collaterals to layer 1 (L1) of the MEC. Activation of inputs from fan cells evokes monosynaptic glutamatergic excitation of stellate and pyramidal cells in L2 of the MEC, typically followed by inhibition that contains fast and slow components mediated by GABAA and GABAB receptors, respectively. Inputs from fan cells also directly activate interneurons in L1 and L2 of MEC, with synaptic connections from L1 interneurons accounting for slow feedforward inhibition of L2 principal cell populations. The relative strength of excitation and inhibition following fan cell activation differs substantially between neurons and is largely independent of anatomical location. Our results demonstrate that the LEC, in addition to directly influencing the hippocampus, can activate or inhibit major hippocampal inputs arising from the MEC. Thus, local circuits in the superficial MEC may combine spatial information with sensory and higher order signals from the LEC, providing a substrate for integration of 'what' and 'where' components of episodic memories.
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Affiliation(s)
- Brianna Vandrey
- Centre for Discovery Brain Sciences, University of EdinburghEdinburghUnited Kingdom
| | - Jack Armstrong
- Centre for Discovery Brain Sciences, University of EdinburghEdinburghUnited Kingdom
| | - Christina M Brown
- Centre for Discovery Brain Sciences, University of EdinburghEdinburghUnited Kingdom
| | - Derek LF Garden
- Centre for Discovery Brain Sciences, University of EdinburghEdinburghUnited Kingdom
| | - Matthew F Nolan
- Centre for Discovery Brain Sciences, University of EdinburghEdinburghUnited Kingdom,Simons Initiative for the Developing Brain, University of EdinburghEdinburghUnited Kingdom,Centre for Statistics, University of EdinburghEdinburghUnited Kingdom
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16
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Syversen IF, Witter MP, Kobro-Flatmoen A, Goa PE, Navarro Schröder T, Doeller CF. Structural connectivity-based segmentation of the human entorhinal cortex. Neuroimage 2021; 245:118723. [PMID: 34780919 PMCID: PMC8756143 DOI: 10.1016/j.neuroimage.2021.118723] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 10/22/2021] [Accepted: 11/11/2021] [Indexed: 12/15/2022] Open
Abstract
The medial (MEC) and lateral entorhinal cortex (LEC), widely studied in rodents, are well defined and characterized. In humans, however, the exact locations of their homologues remain uncertain. Previous functional magnetic resonance imaging (fMRI) studies have subdivided the human EC into posteromedial (pmEC) and anterolateral (alEC) parts, but uncertainty remains about the choice of imaging modality and seed regions, in particular in light of a substantial revision of the classical model of EC connectivity based on novel insights from rodent anatomy. Here, we used structural, not functional imaging, namely diffusion tensor imaging (DTI) and probabilistic tractography to segment the human EC based on differential connectivity to other brain regions known to project selectively to MEC or LEC. We defined MEC as more strongly connected with presubiculum and retrosplenial cortex (RSC), and LEC as more strongly connected with distal CA1 and proximal subiculum (dCA1pSub) and lateral orbitofrontal cortex (OFC). Although our DTI segmentation had a larger medial-lateral component than in the previous fMRI studies, our results show that the human MEC and LEC homologues have a border oriented both towards the posterior-anterior and medial-lateral axes, supporting the differentiation between pmEC and alEC.
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Affiliation(s)
- Ingrid Framås Syversen
- Kavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, MH, NTNU, Postbox 8905, Trondheim 7491, Norway.
| | - Menno P Witter
- Kavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, MH, NTNU, Postbox 8905, Trondheim 7491, Norway
| | - Asgeir Kobro-Flatmoen
- Kavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, MH, NTNU, Postbox 8905, Trondheim 7491, Norway
| | - Pål Erik Goa
- Department of Physics, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Tobias Navarro Schröder
- Kavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, MH, NTNU, Postbox 8905, Trondheim 7491, Norway
| | - Christian F Doeller
- Kavli Institute for Systems Neuroscience, NTNU - Norwegian University of Science and Technology, MH, NTNU, Postbox 8905, Trondheim 7491, Norway; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Institute of Psychology, Leipzig University, Leipzig, Germany
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17
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Dias M, Ferreira R, Remondes M. Medial Entorhinal Cortex Excitatory Neurons Are Necessary for Accurate Timing. J Neurosci 2021; 41:9932-9943. [PMID: 34670849 PMCID: PMC8638688 DOI: 10.1523/jneurosci.0750-21.2021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 09/03/2021] [Accepted: 09/28/2021] [Indexed: 11/21/2022] Open
Abstract
The hippocampal region has long been considered critical for memory of time, and recent evidence shows that network operations and single-unit activity in the hippocampus and medial entorhinal cortex (MEC) correlate with elapsed time. However, whether MEC activity is necessary for timing remains largely unknown. Here we expressed DREADDs (designer receptors exclusively activated by designer drugs) under the CaMKIIa promoter to preferentially target MEC excitatory neurons for chemogenetic silencing, while freely moving male rats reproduced a memorized time interval by waiting inside a region of interest. We found that such silencing impaired the reproduction of the memorized interval and led to an overestimation of elapsed time. Trial history analyses under this condition revealed a reduced influence of previous trials on current waiting times, suggesting an impairment in maintaining temporal memories across trials. Moreover, using GLM (logistic regression), we show that decoding behavioral performance from preceding waiting times was significantly compromised when MEC was silenced. In addition to revealing an important role of MEC excitatory neurons for timing behavior, our results raise the possibility that these neurons contribute to such behavior by holding temporal information across trials.SIGNIFICANCE STATEMENT Medial temporal lobe (MTL) structures are implicated in processing temporal information. However, little is known about the role MTL structures, such as the hippocampus and the entorhinal cortex, play in perceiving or reproducing temporal intervals. By chemogenetically silencing medial entorhinal cortex (MEC) excitatory activity during a timing task, we show that this structure is necessary for the accurate reproduction of temporal intervals. Furthermore, trial history analyses suggest that silencing MEC disrupts memory mechanisms during timing. Together, these results suggest that MEC is necessary for timing behavior, possibly by representing the target interval in memory.
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Affiliation(s)
- Marcelo Dias
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal
| | - Raquel Ferreira
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal
| | - Miguel Remondes
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal
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18
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Peng X, Burwell RD. Beyond the hippocampus: The role of parahippocampal-prefrontal communication in context-modulated behavior. Neurobiol Learn Mem 2021; 185:107520. [PMID: 34537379 DOI: 10.1016/j.nlm.2021.107520] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/30/2021] [Accepted: 09/10/2021] [Indexed: 01/08/2023]
Abstract
Multiple paradigms indicate that the physical environment can influence spontaneous and learned behavior. In rodents, context-dependent behavior is putatively supported by the prefrontal cortex and the medial temporal lobe. A preponderance of the literature has targeted the role of the hippocampus. In addition to the hippocampus proper, the medial temporal lobe also comprises parahippocampal areas, including the perirhinal and postrhinal cortices. These parahippocampal areas directly connect with multiple regions in the prefrontal cortex. The function of these connections, however, is not well understood. This article first reviews the involvement of the perirhinal, postrhinal, and prefrontal cortices in context-dependent behavior in rodents. Then, based on functional and anatomical evidence, we suggest that perirhinal and postrhinal contributions to context-dependent behavior go beyond supporting context representation in the hippocampus. Specifically, we propose that the perirhinal and postrhinal cortices act as a contextual-support network that directly provides contextual and spatial information to the prefrontal cortex. In turn, the perirhinal and postrhinal cortices modulate prefrontal input to the hippocampus in the service of context-guided behavior.
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Affiliation(s)
- Xiangyuan Peng
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912, USA
| | - Rebecca D Burwell
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912, USA; Department of Neuroscience, Brown University, Providence, RI 02912, USA.
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19
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Loh MK, Rosenkranz JA. Shifts in Medial Orbitofrontal Cortex Activity from Adolescence to Adulthood. Cereb Cortex 2021; 32:528-539. [PMID: 34297804 DOI: 10.1093/cercor/bhab231] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 06/19/2021] [Accepted: 06/21/2021] [Indexed: 11/14/2022] Open
Abstract
Adolescents are characterized by a propensity for risky and impulsive behaviors, likely due to immature frontostriatal circuits. The medial orbitofrontal cortex (MO) is linked to risk and reward prediction during decision-making. Identifying age-dependent differences in MO activity and its inputs to downstream regions can elucidate the neural substrates that permit the transition from high-risk adolescent behaviors to increased risk assessment in adulthood. Action selection biased by information gathered by the MO is likely carried out by efferents into the nucleus accumbens (NAc), which guides reward-directed behaviors. Despite the large age dependency of risk-based decision-making, there is nothing known about adolescent MO activity. Here, we recorded action potentials of MO neurons from anesthetized adult and adolescent rats in vivo. On average, adolescent MO neurons fire faster and within narrower ranges than adults, and adolescents have more active MO neurons than adults. Using antidromic stimulation of axon terminals to identify MO neurons that project to NAc (MO→NAc), we found that adolescent MO→NAc neurons have a narrower range of firing frequencies than non-NAc-projecting MO neurons and adult MO→NAc neurons. These age-dependent differences in MO and MO→NAc populations may result from the fine-tuning of circuits between adolescence and adulthood that promote specific age-dependent behaviors.
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Affiliation(s)
- Maxine K Loh
- Department of Foundational Sciences and Humanities, Cellular and Molecular Pharmacology, Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL 60064, USA.,Center for Neurobiology of Stress Resilience and Psychiatric Disorders, Rosalind Franklin University of Medicine and Science, North Chicago, IL 60064, USA
| | - J Amiel Rosenkranz
- Department of Foundational Sciences and Humanities, Cellular and Molecular Pharmacology, Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL 60064, USA.,Center for Neurobiology of Stress Resilience and Psychiatric Disorders, Rosalind Franklin University of Medicine and Science, North Chicago, IL 60064, USA
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20
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Kobro-Flatmoen A, Lagartos-Donate MJ, Aman Y, Edison P, Witter MP, Fang EF. Re-emphasizing early Alzheimer's disease pathology starting in select entorhinal neurons, with a special focus on mitophagy. Ageing Res Rev 2021; 67:101307. [PMID: 33621703 DOI: 10.1016/j.arr.2021.101307] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/04/2021] [Accepted: 02/18/2021] [Indexed: 12/31/2022]
Abstract
The entorhinal-hippocampal system contains distinct networks subserving declarative memory. This system is selectively vulnerable to changes of ageing and pathological processes. The entorhinal cortex (EC) is a pivotal component of this memory system since it serves as the interface between the neocortex and the hippocampus. EC is heavily affected by the proteinopathies of Alzheimer's disease (AD). These appear in a stereotypical spatiotemporal manner and include increased levels of intracellular amyloid-beta Aβ (iAβ), parenchymal deposition of Aβ plaques, and neurofibrillary tangles (NFTs) containing abnormally processed Tau. Increased levels of iAβ and the formation of NFTs are seen very early on in a population of neurons belonging to EC layer II (EC LII), and recent evidence leads us to believe that this population is made up of highly energy-demanding reelin-positive (RE+) projection neurons. Mitochondria are fundamental to the energy supply, metabolism, and plasticity of neurons. Evidence from AD postmortem brain tissues supports the notion that mitochondrial dysfunction is one of the initial pathological events in AD, and this is likely to take place in the vulnerable RE + EC LII neurons. Here we review and discuss these notions, anchored to the anatomy of AD, and formulate a hypothesis attempting to explain the vulnerability of RE + EC LII neurons to the formation of NFTs. We attempt to link impaired mitochondrial clearance to iAβ and signaling involving both apolipoprotein 4 and reelin, and argue for their relevance to the formation of NFTs specifically in RE + EC LII neurons during the prodromal stages of AD. We believe future studies on these interactions holds promise to advance our understanding of AD etiology and provide new ideas for drug development.
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21
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Wang J, Sun P, Lv X, Jin S, Li A, Kuang J, Li N, Gang Y, Guo R, Zeng S, Xu F, Zhang YH. Divergent Projection Patterns Revealed by Reconstruction of Individual Neurons in Orbitofrontal Cortex. Neurosci Bull 2021; 37:461-477. [PMID: 33373031 PMCID: PMC8055809 DOI: 10.1007/s12264-020-00616-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 08/02/2020] [Indexed: 12/29/2022] Open
Abstract
The orbitofrontal cortex (OFC) is involved in diverse brain functions via its extensive projections to multiple target regions. There is a growing understanding of the overall outputs of the OFC at the population level, but reports of the projection patterns of individual OFC neurons across different cortical layers remain rare. Here, by combining neuronal sparse and bright labeling with a whole-brain florescence imaging system (fMOST), we obtained an uninterrupted three-dimensional whole-brain dataset and achieved the full morphological reconstruction of 25 OFC pyramidal neurons. We compared the whole-brain projection targets of these individual OFC neurons in different cortical layers as well as in the same cortical layer. We found cortical layer-dependent projections characterized by divergent patterns for information delivery. Our study not only provides a structural basis for understanding the principles of laminar organizations in the OFC, but also provides clues for future functional and behavioral studies on OFC pyramidal neurons.
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Affiliation(s)
- Junjun Wang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Pei Sun
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xiaohua Lv
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Sen Jin
- Centre for Brain Science, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Key Laboratory of Magnetic Resonance in Biological Systems, Wuhan Institute of Physics and Mathematics, CAS Centre for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Anan Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jianxia Kuang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Ning Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yadong Gang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Rui Guo
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Shaoqun Zeng
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Fuqiang Xu
- Centre for Brain Science, State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, Key Laboratory of Magnetic Resonance in Biological Systems, Wuhan Institute of Physics and Mathematics, CAS Centre for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Yu-Hui Zhang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China.
- MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China.
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22
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Yalcinbas EA, Cazares C, Gremel CM. Call for a more balanced approach to understanding orbital frontal cortex function. Behav Neurosci 2021; 135:255-266. [PMID: 34060878 DOI: 10.1037/bne0000450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Orbital frontal cortex (OFC) research has historically emphasized the function of this associative cortical area within top-down theoretical frameworks. This approach has largely focused on mapping OFC activity onto human-defined psychological or cognitive constructs and has often led to OFC circuitry bearing the weight of entire theoretical frameworks. New techniques and tools developed in the last decade have made it possible to revisit long-standing basic science questions in neuroscience and answer them with increasing sophistication. We can now study and specify the genetic, molecular, cellular, and circuit architecture of a brain region in much greater detail, which allows us to piece together how they contribute to emergent circuit functions. For instance, adopting such systematic and unbiased bottom-up approaches to elucidating the function of the visual system has paved the way to building a greater understanding of the spectrum of its computational capabilities. In the same vein, we argue that OFC research would benefit from a more balanced approach that also places focus on novel bottom-up investigations into OFC's computational capabilities. Furthermore, we believe that the knowledge gained by employing a more bottom-up approach to investigating OFC function will ultimately allow us to look at OFC's dysfunction in disease through a more nuanced biological lens. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
- Ege A Yalcinbas
- The Neurosciences Graduate Program, University of California, San Diego
| | - Christian Cazares
- The Neurosciences Graduate Program, University of California, San Diego
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23
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de Lima MAX, Baldo MVC, Canteras NS. Revealing a Cortical Circuit Responsive to Predatory Threats and Mediating Contextual Fear Memory. Cereb Cortex 2020; 29:3074-3090. [PMID: 30085040 DOI: 10.1093/cercor/bhy173] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 06/27/2018] [Indexed: 01/12/2023] Open
Abstract
The ventral part of the anteromedial thalamic nucleus (AMv) receives substantial inputs from hypothalamic sites that are highly responsive to a live predator or its odor trace and represents an important thalamic hub for conveying predatory threat information to the cerebral cortex. In the present study, we begin by examining the cortico-amygdalar-hippocampal projections of the main AMv cortical targets, namely, the caudal prelimbic, rostral anterior cingulate, and medial visual areas, as well as the rostral part of the ventral retrosplenial area, one of the main targets of the anterior cingulate area. We observed that these areas form a clear cortical network. Next, we revealed that in animals exposed to a live cat, all of the elements of this circuit presented a differential increase in Fos, supporting the idea of a predator threat-responsive cortical network. Finally, we showed that bilateral cytotoxic lesions in each element of this cortical network did not change innate fear responses but drastically reduced contextual conditioning to the predator-associated environment. Overall, the present findings suggest that predator threat has an extensive representation in the cerebral cortex and revealed a cortical network that is responsive to predatory threats and exerts a critical role in processing fear memory.
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Affiliation(s)
| | - Marcus Vinicius C Baldo
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo; São Paulo, SP, Brazil
| | - Newton Sabino Canteras
- Department of Anatomy, Institute of Biomedical Sciences, University of São Paulo; São Paulo, SP, Brazil
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Doan TP, Lagartos-Donate MJ, Nilssen ES, Ohara S, Witter MP. Convergent Projections from Perirhinal and Postrhinal Cortices Suggest a Multisensory Nature of Lateral, but Not Medial, Entorhinal Cortex. Cell Rep 2019; 29:617-627.e7. [DOI: 10.1016/j.celrep.2019.09.005] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 08/06/2019] [Accepted: 08/30/2019] [Indexed: 10/25/2022] Open
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25
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Olsen GM, Hovde K, Kondo H, Sakshaug T, Sømme HH, Whitlock JR, Witter MP. Organization of Posterior Parietal-Frontal Connections in the Rat. Front Syst Neurosci 2019; 13:38. [PMID: 31496940 PMCID: PMC6713060 DOI: 10.3389/fnsys.2019.00038] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Accepted: 07/29/2019] [Indexed: 11/24/2022] Open
Abstract
Recent investigations of the rat posterior parietal cortex (PPC) suggest that this region plays a central role in action control together with the frontal cortical areas. Posterior parietal-frontal cortical connections have been described in rats, but little is known about whether these connections are topographically organized as in the primate. Here, we injected retrograde and anterograde tracers into subdivisions of PPC as well as the frontal midline and orbital cortical areas to explore possible topographies within their connections. We found that PPC projects to several frontal cortical areas, largely reciprocating the densest input received from the same areas. All PPC subdivisions are strongly connected with the secondary motor cortex (M2) in a topographically organized manner. The medial subdivision (medial posterior parietal cortex, mPPC) has a dense reciprocal connection with the most caudal portion of M2 (cM2), whereas the lateral subdivision (lateral posterior parietal cortex, lPPC) and the caudolateral subdivision (PtP) are reciprocally connected with the intermediate rostrocaudal portion of M2 (iM2). Sparser reciprocal connections were seen with anterior cingulate area 24b. mPPC connects with rostral, and lPPC and PtP connect with caudal parts of 24b, respectively. There are virtually no connections with area 24a, nor with prelimbic or infralimbic cortex. PPC and orbitofrontal cortices are also connected, showing a gradient such that mPPC entertains reciprocal connections mainly with the ventral orbitofrontal cortex (OFC), whereas lPPC and PtP are preferentially connected with medial and central portions of ventrolateral OFC, respectively. Our results thus indicate that the connections of PPC with frontal cortices are organized in a topographical fashion, supporting functional heterogeneity within PPC and frontal cortices.
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Affiliation(s)
- Grethe M Olsen
- The Faculty of Medicine, Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Karoline Hovde
- The Faculty of Medicine, Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Hideki Kondo
- The Faculty of Medicine, Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Teri Sakshaug
- The Faculty of Medicine, Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Hanna Haaland Sømme
- The Faculty of Medicine, Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Jonathan R Whitlock
- The Faculty of Medicine, Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Menno P Witter
- The Faculty of Medicine, Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
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26
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Nilssen ES, Doan TP, Nigro MJ, Ohara S, Witter MP. Neurons and networks in the entorhinal cortex: A reappraisal of the lateral and medial entorhinal subdivisions mediating parallel cortical pathways. Hippocampus 2019; 29:1238-1254. [PMID: 31408260 DOI: 10.1002/hipo.23145] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 06/29/2019] [Accepted: 07/11/2019] [Indexed: 12/31/2022]
Abstract
In this review, we aim to reappraise the organization of intrinsic and extrinsic networks of the entorhinal cortex with a focus on the concept of parallel cortical connectivity streams. The concept of two entorhinal areas, the lateral and medial entorhinal cortex, belonging to two parallel input-output streams mediating the encoding and storage of respectively what and where information hinges on the claim that a major component of their cortical connections is with the perirhinal cortex and postrhinal or parahippocampal cortex in, respectively, rodents or primates. In this scenario, the lateral entorhinal cortex and the perirhinal cortex are connectionally associated and likewise the postrhinal/parahippocampal cortex and the medial entorhinal cortex are partners. In contrast, here we argue that the connectivity matrix emphasizes the potential of substantial integration of cortical information through interactions between the two entorhinal subdivisions and between the perirhinal and postrhinal/parahippocampal cortices, but most importantly through a new observation that the postrhinal/parahippocampal cortex projects to both lateral and medial entorhinal cortex. We suggest that entorhinal inputs provide the hippocampus with high-order complex representations of the external environment, its stability, as well as apparent changes either as an inherent feature of a biological environment or as the result of navigating the environment. This thus indicates that the current connectional model of the parahippocampal region as part of the medial temporal lobe memory system needs to be revised.
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Affiliation(s)
- Eirik S Nilssen
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - Thanh P Doan
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - Maximiliano J Nigro
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - Shinya Ohara
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU Norwegian University of Science and Technology, Trondheim, Norway
- Laboratory of Systems Neuroscience, Tohoku University Graduate School of Life Sciences, Sendai, Japan
| | - Menno P Witter
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU Norwegian University of Science and Technology, Trondheim, Norway
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27
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Bedwell SA, Tinsley CJ. Mapping of fine-scale rat prefrontal cortex connections: Evidence for detailed ordering of inputs and outputs connecting the temporal cortex and sensory-motor regions. Eur J Neurosci 2018; 48:1944-1963. [DOI: 10.1111/ejn.14068] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 06/11/2018] [Accepted: 07/04/2018] [Indexed: 11/29/2022]
Affiliation(s)
| | - Chris J. Tinsley
- School of Science and Technology; Nottingham Trent University; Nottingham UK
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28
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Cellular components and circuitry of the presubiculum and its functional role in the head direction system. Cell Tissue Res 2018; 373:541-556. [PMID: 29789927 DOI: 10.1007/s00441-018-2841-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2017] [Accepted: 04/10/2018] [Indexed: 12/20/2022]
Abstract
Orientation in space is a fundamental cognitive process relying on brain-wide neuronal circuits. Many neurons in the presubiculum in the parahippocampal region encode head direction and each head direction cell selectively discharges when the animal faces a specific direction. Here, we attempt to link the current knowledge of afferent and efferent connectivity of the presubiculum to the processing of the head direction signal. We describe the cytoarchitecture of the presubicular six-layered cortex and the morphological and electrophysiological intrinsic properties of principal neurons and interneurons. While the presubicular head direction signal depends on synaptic input from thalamus, the intra- and interlaminar information flow in the microcircuit of the presubiculum may contribute to refine directional tuning. The interaction of a specific interneuron type, the Martinotti cells, with the excitatory pyramidal cells may maintain the head direction signal in the presubiculum with attractor-like properties.
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29
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Hwang E, Willis BS, Burwell RD. Prefrontal connections of the perirhinal and postrhinal cortices in the rat. Behav Brain Res 2017; 354:8-21. [PMID: 28765070 DOI: 10.1016/j.bbr.2017.07.032] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Revised: 07/25/2017] [Accepted: 07/25/2017] [Indexed: 02/07/2023]
Abstract
Knowing how prefrontal regions interact with medial temporal lobe structures is important for understanding memory and cognition. Using anterograde and retrograde tract tracing methods in the rat, we report a detailed study of the perirhinal (PER) and postrhinal (POR) connections with the lateral, ventrolateral, and medial orbitofrontal cortices (ORBl, ORBvl, ORBm), infralimbic and prelimbic cortices (IL, PL), ventral and dorsal anterior cingulate cortices (ACAv, ACAd), and secondary motor cortex (MOs). Our analyses included the topography and laminar patterns of these connections. The PER and POR showed reciprocal connectivity with all prefrontal regions examined, but the patterns of connections differed. In general, PER areas 36 and 35 showed patterns of connectivity that were more similar to each other than to those of the POR. Analysis of anterograde tracers showed that PER areas 36 and 35 provide the strongest projections to prefrontal regions. The heaviest fiber labeling was in IL and PL, closely followed by orbital regions. Fiber labeling arising from injections in POR was weaker overall. The strongest POR efferents targeted MOs, ACAv, and ORBvl. For return projections, analysis of retrograde tracers showed that PER areas 36 and 35 receive strong inputs from orbitofrontal and medial prefrontal regions. Interestingly, PER also received substantial inputs from MOs and ACAd. The POR receives a very strong input from MOs, followed by ACAd, and ORBvl. Based on comparison of our findings with those obtained in monkeys, we argue that the rodent ACAd and MOs may be a functional homolog of the primate dorsolateral prefrontal cortex.
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Affiliation(s)
- Eunkyu Hwang
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912, USA
| | - Bailey S Willis
- Department of Molecular Pharmacology, Physiology, and Biotechnology, Brown University, Providence, RI 02912, USA
| | - Rebecca D Burwell
- Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912, USA; Department of Neuroscience, Brown University, Providence, RI 02912, USA.
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30
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Witter MP, Doan TP, Jacobsen B, Nilssen ES, Ohara S. Architecture of the Entorhinal Cortex A Review of Entorhinal Anatomy in Rodents with Some Comparative Notes. Front Syst Neurosci 2017; 11:46. [PMID: 28701931 PMCID: PMC5488372 DOI: 10.3389/fnsys.2017.00046] [Citation(s) in RCA: 197] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 06/07/2017] [Indexed: 12/18/2022] Open
Abstract
The entorhinal cortex (EC) is the major input and output structure of the hippocampal formation, forming the nodal point in cortico-hippocampal circuits. Different division schemes including two or many more subdivisions have been proposed, but here we will argue that subdividing EC into two components, the lateral EC (LEC) and medial EC (MEC) might suffice to describe the functional architecture of EC. This subdivision then leads to an anatomical interpretation of the different phenotypes of LEC and MEC. First, we will briefly summarize the cytoarchitectonic differences and differences in hippocampal projection patterns on which the subdivision between LEC and MEC traditionally is based and provide a short comparative perspective. Second, we focus on main differences in cortical connectivity, leading to the conclusion that the apparent differences may well correlate with the functional differences. Cortical connectivity of MEC is features interactions with areas such as the presubiculum, parasubiculum, retrosplenial cortex (RSC) and postrhinal cortex, all areas that are considered to belong to the "spatial processing domain" of the cortex. In contrast, LEC is strongly connected with olfactory areas, insular, medial- and orbitofrontal areas and perirhinal cortex. These areas are likely more involved in processing of object information, attention and motivation. Third, we will compare the intrinsic networks involving principal- and inter-neurons in LEC and MEC. Together, these observations suggest that the different phenotypes of both EC subdivisions likely depend on the combination of intrinsic organization and specific sets of inputs. We further suggest a reappraisal of the notion of EC as a layered input-output structure for the hippocampal formation.
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Affiliation(s)
- Menno P. Witter
- Functional Neuroanatomy, KavlI Institute for Systems Neuroscience, Center for Computational Neuroscience, Egil and Pauline Braathen and Fred Kavli Center for Cortical Microcircuits, NTNU Norwegian University of Science and TechnologyTrondheim, Norway
| | - Thanh P. Doan
- Functional Neuroanatomy, KavlI Institute for Systems Neuroscience, Center for Computational Neuroscience, Egil and Pauline Braathen and Fred Kavli Center for Cortical Microcircuits, NTNU Norwegian University of Science and TechnologyTrondheim, Norway
| | - Bente Jacobsen
- Functional Neuroanatomy, KavlI Institute for Systems Neuroscience, Center for Computational Neuroscience, Egil and Pauline Braathen and Fred Kavli Center for Cortical Microcircuits, NTNU Norwegian University of Science and TechnologyTrondheim, Norway
| | - Eirik S. Nilssen
- Functional Neuroanatomy, KavlI Institute for Systems Neuroscience, Center for Computational Neuroscience, Egil and Pauline Braathen and Fred Kavli Center for Cortical Microcircuits, NTNU Norwegian University of Science and TechnologyTrondheim, Norway
| | - Shinya Ohara
- Division of Systems Neuroscience, Tohoku University Graduate School of Life ScienceSendai, Japan
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31
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Kanoski SE, Grill HJ. Hippocampus Contributions to Food Intake Control: Mnemonic, Neuroanatomical, and Endocrine Mechanisms. Biol Psychiatry 2017; 81:748-756. [PMID: 26555354 PMCID: PMC4809793 DOI: 10.1016/j.biopsych.2015.09.011] [Citation(s) in RCA: 166] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Revised: 08/22/2015] [Accepted: 09/21/2015] [Indexed: 10/23/2022]
Abstract
Food intake is a complex behavior that can occur or cease to occur for a multitude of reasons. Decisions about where, when, what, and how much to eat are not merely reflexive responses to food-relevant stimuli or to changes in energy status. Rather, feeding behavior is modulated by various contextual factors and by previous experiences. The data reviewed here support the perspective that neurons in multiple hippocampal subregions constitute an important neural substrate linking the external context, the internal context, and mnemonic and cognitive information to control both appetitive and ingestive behavior. Feeding behavior is heavily influenced by hippocampal-dependent mnemonic functions, including episodic meal-related memories and conditional learned associations between food-related stimuli and postingestive consequences. These mnemonic processes are undoubtedly influenced by both external and internal factors relating to food availability, location, and physiological energy status. The afferent and efferent neuroanatomical connectivity of the subregions of the hippocampus is reviewed with regard to the integration of visuospatial and olfactory sensory information (the external context) with endocrine and gastrointestinal interoceptive stimuli (the internal context). Also discussed are recent findings demonstrating that peripherally derived endocrine signals act on receptors in hippocampal neurons to reduce (leptin, glucagon-like peptide-1) or increase (ghrelin) food intake and learned food reward-driven responding, thereby highlighting endocrine and neuropeptidergic signaling in hippocampal neurons as a novel substrate of importance in the higher-order regulation of feeding behavior.
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Affiliation(s)
- Scott E. Kanoski
- Department of Biological Sciences, University of Southern California
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32
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Shapiro LP, Parsons RG, Koleske AJ, Gourley SL. Differential expression of cytoskeletal regulatory factors in the adolescent prefrontal cortex: Implications for cortical development. J Neurosci Res 2017; 95:1123-1143. [PMID: 27735056 PMCID: PMC5352542 DOI: 10.1002/jnr.23960] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Revised: 09/04/2016] [Accepted: 09/12/2016] [Indexed: 12/27/2022]
Abstract
The prevalence of depression, anxiety, schizophrenia, and drug and alcohol use disorders peaks during adolescence. Further, up to 50% of "adult" mental health disorders emerge in adolescence. During adolescence, the prefrontal cortex (PFC) undergoes dramatic structural reorganization, in which dendritic spines and synapses are refined, pruned, and stabilized. Understanding the molecular mechanisms that underlie these processes should help to identify factors that influence the development of psychiatric illness. Here we briefly discuss the anatomical connections of the medial and orbital prefrontal cortex (mPFC and OFC, respectively). We then present original findings suggesting that dendritic spines on deep-layer excitatory neurons in the mouse mPFC and OFC prune at different adolescent ages, with later pruning in the OFC. In parallel, we used Western blotting to define levels of several cytoskeletal regulatory proteins during early, mid-, and late adolescence, focusing on tropomyosin-related kinase receptor B (TrkB) and β1-integrin-containing receptors and select signaling partners. We identified regional differences in the levels of several proteins in early and midadolescence that then converged in early adulthood. We also observed age-related differences in TrkB levels, both full-length and truncated isoforms, Rho-kinase 2, and synaptophysin in both PFC subregions. Finally, we identified changes in protein levels in the dorsal and ventral hippocampus that were distinct from those in the PFC. We conclude with a general review of the manner in which TrkB- and β1-integrin-mediated signaling influences neuronal structure in the postnatal brain. Elucidating the role of cytoskeletal regulatory factors throughout adolescence may identify critical mechanisms of PFC development. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Lauren P Shapiro
- Molecular and Systems Pharmacology, Emory University, Atlanta, Georgia
- Departments of Pediatrics and Psychiatry and Behavioral Sciences, Emory University School of Medicine, and Yerkes National Primate Research Center, Emory University, Atlanta, Georgia
| | - Ryan G Parsons
- Department of Psychology and Neuroscience Institute, Graduate Program in Integrative Neuroscience, Program in Neuroscience, Stony Brook University, Stony Brook, New York
| | - Anthony J Koleske
- Department of Molecular Biophysics and Biochemistry, Department of Neurobiology, Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut
| | - Shannon L Gourley
- Departments of Pediatrics and Psychiatry and Behavioral Sciences, Emory University School of Medicine, and Yerkes National Primate Research Center, Emory University, Atlanta, Georgia
- Graduate Program in Neuroscience, Emory University, Atlanta, Georgia
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33
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Hanseeuw BJ, Betensky RA, Schultz AP, Papp KV, Mormino EC, Sepulcre J, Bark JS, Cosio DM, LaPoint M, Chhatwal JP, Rentz DM, Sperling RA, Johnson KA. Fluorodeoxyglucose metabolism associated with tau-amyloid interaction predicts memory decline. Ann Neurol 2017; 81:583-596. [PMID: 28253546 DOI: 10.1002/ana.24910] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 02/14/2017] [Accepted: 02/26/2017] [Indexed: 12/24/2022]
Abstract
OBJECTIVE The aim of this article was to evaluate in normal older adults and preclinical Alzheimer's disease (AD) the impact of amyloid and regional tauopathy on cerebral glucose metabolism and subsequent memory decline. METHODS We acquired positron emission tomography using F18 flortaucipir (tau), C11 Pittsburgh compound B (amyloid), and F18 fluorodeoxyglucose (FDG) in 90 clinically normal elderly of the Harvard Aging Brain Study. RESULTS Posterior cingulate metabolism decreased when both amyloid and neocortical tau were high and predicted subsequent memory decline in a larger sample of normal elderly. In contrast, frontal hypometabolism related to the common age-related entorhinal tauopathy, but this dysfunction was independent of amyloid, and did not predict significant memory decline. Neocortical tauopathy was positively associated with metabolism in individuals with subthreshold amyloid, suggesting that glucose metabolism increases before decreasing in the course of preclinical AD. INTERPRETATION Our study identified a synergistic effect of amyloid and tau deposits and demonstrated, for the first time, in normal elderly its link to AD-like hypometabolism and to AD-like memory decline. The amyloid effect was observed with tau in neocortex, but not with tau in entorhinal cortex, which is the common site of age-related tauopathy. Entorhinal tau was associated with frontal hypometabolism, but this dysfunction was not associated with memory loss. Ann Neurol 2017;81:583-596.
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Affiliation(s)
- Bernard J Hanseeuw
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, and the Martinos Center for Biomedical Imaging, Charlestown, MA.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Rebecca A Betensky
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Aaron P Schultz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, and the Martinos Center for Biomedical Imaging, Charlestown, MA
| | - Kathryn V Papp
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, and the Martinos Center for Biomedical Imaging, Charlestown, MA.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Elizabeth C Mormino
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, and the Martinos Center for Biomedical Imaging, Charlestown, MA
| | - Jorge Sepulcre
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - John S Bark
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Danielle M Cosio
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Molly LaPoint
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, and the Martinos Center for Biomedical Imaging, Charlestown, MA
| | - Jasmeer P Chhatwal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, and the Martinos Center for Biomedical Imaging, Charlestown, MA
| | - Dorene M Rentz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, and the Martinos Center for Biomedical Imaging, Charlestown, MA.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Reisa A Sperling
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, and the Martinos Center for Biomedical Imaging, Charlestown, MA.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Keith A Johnson
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, and the Martinos Center for Biomedical Imaging, Charlestown, MA.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.,Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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34
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Bedwell SA, Billett EE, Crofts JJ, Tinsley CJ. Differences in anatomical connections across distinct areas in the rodent prefrontal cortex. Eur J Neurosci 2017; 45:859-873. [DOI: 10.1111/ejn.13521] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Revised: 01/05/2017] [Accepted: 01/06/2017] [Indexed: 12/25/2022]
Affiliation(s)
- Stacey A. Bedwell
- School of Science and Technology; Nottingham Trent University; Clifton Lane Nottingham NG11 8NS UK
| | - E. Ellen Billett
- School of Science and Technology; Nottingham Trent University; Clifton Lane Nottingham NG11 8NS UK
| | - Jonathan J. Crofts
- School of Science and Technology; Nottingham Trent University; Clifton Lane Nottingham NG11 8NS UK
| | - Chris J. Tinsley
- School of Science and Technology; Nottingham Trent University; Clifton Lane Nottingham NG11 8NS UK
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35
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Anderson MC, Bunce JG, Barbas H. Prefrontal-hippocampal pathways underlying inhibitory control over memory. Neurobiol Learn Mem 2016; 134 Pt A:145-161. [PMID: 26642918 PMCID: PMC5106245 DOI: 10.1016/j.nlm.2015.11.008] [Citation(s) in RCA: 135] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 11/06/2015] [Accepted: 11/17/2015] [Indexed: 12/29/2022]
Abstract
A key function of the prefrontal cortex is to support inhibitory control over behavior. It is widely believed that this function extends to stopping cognitive processes as well. Consistent with this, mounting evidence establishes the role of the right lateral prefrontal cortex in a clear case of cognitive control: retrieval suppression. Retrieval suppression refers to the ability to intentionally stop the retrieval process that arises when a reminder to a memory appears. Functional imaging data indicate that retrieval suppression involves top-down modulation of hippocampal activity by the dorsolateral prefrontal cortex, but the anatomical pathways supporting this inhibitory modulation remain unclear. Here we bridge this gap by integrating key findings about retrieval suppression observed through functional imaging with a detailed consideration of relevant anatomical pathways observed in non-human primates. Focusing selectively on the potential role of the anterior cingulate cortex, we develop two hypotheses about the pathways mediating interactions between lateral prefrontal cortex and the medial temporal lobes during suppression, and their cellular targets: the entorhinal gating hypothesis, and thalamo-hippocampal modulation via the nucleus reuniens. We hypothesize that whereas entorhinal gating is well situated to stop retrieval proactively, thalamo-hippocampal modulation may interrupt an ongoing act of retrieval reactively. Isolating the pathways that underlie retrieval suppression holds the potential to advance our understanding of a range of psychiatric disorders characterized by persistent intrusive thoughts. More broadly, an anatomical account of retrieval suppression would provide a key model system for understanding inhibitory control over cognition.
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Affiliation(s)
- Michael C Anderson
- MRC Cognition & Brain Sciences Unit, 15 Chaucer Road, Cambridge, England CB2 7EF, United Kingdom.
| | - Jamie G Bunce
- Neural Systems Laboratory, Boston University, 635 Commonwealth Ave., Boston, MA 02215, USA
| | - Helen Barbas
- Neural Systems Laboratory, Boston University, 635 Commonwealth Ave., Boston, MA 02215, USA
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36
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Parent MB. Cognitive control of meal onset and meal size: Role of dorsal hippocampal-dependent episodic memory. Physiol Behav 2016; 162:112-9. [PMID: 27083124 DOI: 10.1016/j.physbeh.2016.03.036] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Revised: 03/28/2016] [Accepted: 03/30/2016] [Indexed: 12/17/2022]
Abstract
There is a large gap in our understanding of how top-down cognitive processes, such as memory, influence energy intake. Similarly, there is limited knowledge regarding how the brain controls the timing of meals and meal frequency. Understanding how cognition influences ingestive behavior and how the brain controls meal frequency will provide a more complete explanation of the neural mechanisms that regulate energy intake and may also increase our knowledge of the factors that contribute to diet-induced obesity. We hypothesize that dorsal hippocampal neurons, which are critical for memory of personal experiences (i.e., episodic memory), form a memory of a meal, inhibit meal onset during the period following a meal, and limit the amount ingested at the next meal. In support, we describe evidence from human research suggesting that episodic memory of a meal inhibits intake and review data from human and non-human animals showing that impaired hippocampal function is associated with increased intake. We then describe evidence from our laboratory showing that inactivation of dorsal hippocampal neurons decreases the interval between sucrose meals and increases intake at the next meal. We also describe our evidence suggesting that sweet orosensation is sufficient to induce synaptic plasticity in dorsal hippocampal neurons and raise the possibility that impaired dorsal hippocampal function and episodic memory deficits contribute to the development and/or maintenance of diet-induced obesity. Finally, we raise some critical questions that need to be addressed in future research.
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Affiliation(s)
- Marise B Parent
- Neuroscience Institute, Department of Psychology, Georgia State University, PO Box 5030, Atlanta, GA 30303-5030, United States.
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Orbitofrontal cortex encodes memories within value-based schemas and represents contexts that guide memory retrieval. J Neurosci 2015; 35:8333-44. [PMID: 26019346 DOI: 10.1523/jneurosci.0134-15.2015] [Citation(s) in RCA: 58] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
There are a substantial number of studies showing that the orbitofrontal cortex links events to reward values, whereas the hippocampus links events to the context in which they occur. Here we asked how the orbitofrontal cortex contributes to memory where context determines the reward values associated with events. After rats learned object-reward associations that differed depending on the spatial context in which the objects were presented, neuronal ensembles in orbitofrontal cortex represented distinct value-based schemas, each composed of a systematic organization of the representations of objects in the contexts and positions where they were associated with reward or nonreward. Orbitofrontal ensembles also represent the different spatial contexts that define the mappings of stimuli to actions that lead to reward or nonreward. These findings, combined with observations on complementary memory representation within the hippocampus, suggest mechanisms through which prefrontal cortex and the hippocampus interact in support of context-guided memory.
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Bedwell SA, Billett EE, Crofts JJ, MacDonald DM, Tinsley CJ. The topology of connections between rat prefrontal and temporal cortices. Front Syst Neurosci 2015; 9:80. [PMID: 26042005 PMCID: PMC4438597 DOI: 10.3389/fnsys.2015.00080] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Accepted: 05/06/2015] [Indexed: 01/01/2023] Open
Abstract
Understanding the structural organization of the prefrontal cortex (PFC) is an important step toward determining its functional organization. Here we investigated the organization of PFC using different neuronal tracers. We injected retrograde (Fluoro-Gold, 100 nl) and anterograde [Biotinylated dextran amine (BDA) or Fluoro-Ruby, 100 nl] tracers into sites within PFC subdivisions (prelimbic, ventral orbital, ventrolateral orbital, dorsolateral orbital) along a coronal axis within PFC. At each injection site one injection was made of the anterograde tracer and one injection was made of the retrograde tracer. The projection locations of retrogradely labeled neurons and anterogradely labeled axon terminals were then analyzed in the temporal cortex: area Te, entorhinal and perirhinal cortex. We found evidence for an ordering of both the anterograde (anterior-posterior, dorsal-ventral, and medial-lateral axes: p < 0.001) and retrograde (anterior-posterior, dorsal-ventral, and medial-lateral axes: p < 0.001) connections of PFC. We observed that anterograde and retrograde labeling in ipsilateral temporal cortex (i.e., PFC inputs and outputs) often occurred reciprocally (i.e., the same brain region, such as area 35d in perirhinal cortex, contained anterograde and retrograde labeling). However, often the same specific columnar temporal cortex regions contained only either labeling of retrograde or anterograde tracer, indicating that PFC inputs and outputs are frequently non-matched.
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Affiliation(s)
- Stacey A Bedwell
- Division of Biosciences, School of Science and Technology, Nottingham Trent University Nottingham, UK
| | - E Ellen Billett
- Division of Biosciences, School of Science and Technology, Nottingham Trent University Nottingham, UK
| | - Jonathan J Crofts
- Division of Biosciences, School of Science and Technology, Nottingham Trent University Nottingham, UK
| | - Danielle M MacDonald
- Division of Biosciences, School of Science and Technology, Nottingham Trent University Nottingham, UK
| | - Chris J Tinsley
- Division of Biosciences, School of Science and Technology, Nottingham Trent University Nottingham, UK
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Mathiasen ML, Hansen L, Witter MP. Insular projections to the parahippocampal region in the rat. J Comp Neurol 2015; 523:1379-98. [PMID: 25641117 DOI: 10.1002/cne.23742] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Revised: 01/06/2015] [Accepted: 01/07/2015] [Indexed: 11/11/2022]
Abstract
The insular cortex is involved in the perception of interoceptive signals, coding of emotional and affective states, and processing information from gustatory, olfactory, auditory, somatosensory, and nociceptive modalities. This information represents an important component of episodic memory, mediated by the parahippocampal-hippocampal region. A comprehensive description of insular projections to the latter region is lacking. Previous studies reported that insular projections do not target any of the subdivisions in the hippocampal formation (the dentate gyus, the cornu ammonis [CA] fields 1, 2, and 3 and the subiculum), but, in contrast, target the parahippocampal region (perirhinal, postrhinal, lateral and medial entorhinal cortices, and pre- and parasubiculum). The present study examined the topographical and laminar organization of insular projections to the parahippocampal region in the rat with the use of anterograde tracing. Notably, our results corroborated the absence of hippocampal projections. We further showed that the perirhinal and the lateral entorhinal cortices received extensive projections from the insular cortex, primarily from its agranular areas. With the exception of a weak projection to the postrhinal cortex, projections to the remaining parahippocampal areas were either absent or very sparse. The projections to the lateral entorhinal cortex displayed a preference for the deep layers of its most lateral subdivisions, known also to receive hippocampal inputs. Projections to the perirhinal cortex primarily targeted the superficial layers with a preference for its ventral subdivision, referred to as area 35. Our findings indicate that only processed information, reflecting emotional and affective states, but not primary gustatory and viscerosensory information, has direct access to the parahippocampal-hippocampal system.
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Affiliation(s)
- Mathias L Mathiasen
- Kavli Institute for Systems Neuroscience & Centre for Neural Computation, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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Ritchey M, Libby LA, Ranganath C. Cortico-hippocampal systems involved in memory and cognition. PROGRESS IN BRAIN RESEARCH 2015; 219:45-64. [DOI: 10.1016/bs.pbr.2015.04.001] [Citation(s) in RCA: 157] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Bedwell SA, Billett EE, Crofts JJ, Tinsley CJ. The topology of connections between rat prefrontal, motor and sensory cortices. Front Syst Neurosci 2014; 8:177. [PMID: 25278850 PMCID: PMC4166227 DOI: 10.3389/fnsys.2014.00177] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2014] [Accepted: 09/01/2014] [Indexed: 11/22/2022] Open
Abstract
The connections of prefrontal cortex (PFC) were investigated in the rat brain to determine the order and location of input and output connections to motor and somatosensory cortex. Retrograde (100 nl Fluoro-Gold) and anterograde (100 nl Biotinylated Dextran Amines, BDA; Fluorescein and Texas Red) neuronanatomical tracers were injected into the subdivisions of the PFC (prelimbic, ventral orbital, ventrolateral orbital, dorsolateral orbital) and their projections studied. We found clear evidence for organized input projections from the motor and somatosensory cortices to the PFC, with distinct areas of motor and cingulate cortex projecting in an ordered arrangement to the subdivisions of PFC. As injection location of retrograde tracer was moved from medial to lateral in PFC, we observed an ordered arrangement of projections occurring in sensory-motor cortex. There was a significant effect of retrograde injection location on the position of labelled cells occurring in sensory-motor cortex (dorsoventral, anterior-posterior and mediolateral axes p < 0.001). The arrangement of output projections from PFC also displayed a significant ordered projection to sensory-motor cortex (dorsoventral p < 0.001, anterior-posterior p = 0.002 and mediolateral axes p < 0.001). Statistical analysis also showed that the locations of input and output labels vary with respect to one another (in the dorsal-ventral and medial-lateral axes, p < 0.001). Taken together, the findings show that regions of PFC display an ordered arrangement of connections with sensory-motor cortex, with clear laminar organization of input connections. These results also show that input and output connections to PFC are not located in exactly the same sites and reveal a circuit between sensory-motor and PFC.
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Affiliation(s)
- Stacey A Bedwell
- School of Science and Technology, Nottingham Trent University Nottingham, UK
| | - E Ellen Billett
- School of Science and Technology, Nottingham Trent University Nottingham, UK
| | - Jonathan J Crofts
- School of Science and Technology, Nottingham Trent University Nottingham, UK
| | - Chris J Tinsley
- School of Science and Technology, Nottingham Trent University Nottingham, UK
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