1
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Suthaharan P, Thompson SL, Rossi-Goldthorpe RA, Rudebeck PH, Walton ME, Chakraborty S, Noonan MP, Costa VD, Murray EA, Mathys CD, Groman SM, Mitchell AS, Taylor JR, Corlett PR, Chang SWC. Lesions to the mediodorsal thalamus, but not orbitofrontal cortex, enhance volatility beliefs linked to paranoia. Cell Rep 2024; 43:114355. [PMID: 38870010 PMCID: PMC11231991 DOI: 10.1016/j.celrep.2024.114355] [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: 11/02/2023] [Revised: 04/13/2024] [Accepted: 05/29/2024] [Indexed: 06/15/2024] Open
Abstract
Beliefs-attitudes toward some state of the environment-guide action selection and should be robust to variability but sensitive to meaningful change. Beliefs about volatility (expectation of change) are associated with paranoia in humans, but the brain regions responsible for volatility beliefs remain unknown. The orbitofrontal cortex (OFC) is central to adaptive behavior, whereas the magnocellular mediodorsal thalamus (MDmc) is essential for arbitrating between perceptions and action policies. We assessed belief updating in a three-choice probabilistic reversal learning task following excitotoxic lesions of the MDmc (n = 3) or OFC (n = 3) and compared performance with that of unoperated monkeys (n = 14). Computational analyses indicated a double dissociation: MDmc, but not OFC, lesions were associated with erratic switching behavior and heightened volatility belief (as in paranoia in humans), whereas OFC, but not MDmc, lesions were associated with increased lose-stay behavior and reward learning rates. Given the consilience across species and models, these results have implications for understanding paranoia.
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Affiliation(s)
- Praveen Suthaharan
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA; Kavli Institute for Neuroscience, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA
| | | | - Rosa A Rossi-Goldthorpe
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA
| | | | - Mark E Walton
- Department of Experimental Psychology, Oxford University, Oxford, UK
| | - Subhojit Chakraborty
- Department of Experimental Psychology, Oxford University, Oxford, UK; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London EC1V 9EL, UK
| | - Maryann P Noonan
- Department of Experimental Psychology, Oxford University, Oxford, UK; Department of Psychology, University of York, York, UK
| | - Vincent D Costa
- Division of Neuroscience, Oregon National Primate Research Center, Oregon Health and Science University, Beaverton, OR, USA
| | | | - Christoph D Mathys
- Interacting Minds Centre, Aarhus University, Aarhus, Denmark; Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Stephanie M Groman
- Department of Psychiatry, Yale University, New Haven, CT, USA; Department of Neuroscience, University of Minnesota Medical School, Minneapolis, MN, USA; Department of Anesthesia and Critical Care, University of Chicago, Chicago, IL, USA
| | - Anna S Mitchell
- Department of Experimental Psychology, Oxford University, Oxford, UK; School of Psychology, Speech, and Hearing, University of Canterbury, Christchurch, New Zealand
| | - Jane R Taylor
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA; Department of Psychology, Yale University, New Haven, CT, USA; Wu Tsai Institute, Yale University, New Haven, CT, USA; Department of Neuroscience, Yale University, New Haven, CT, USA
| | - Philip R Corlett
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA; Kavli Institute for Neuroscience, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale University, New Haven, CT, USA; Department of Psychology, Yale University, New Haven, CT, USA; Wu Tsai Institute, Yale University, New Haven, CT, USA.
| | - Steve W C Chang
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA; Kavli Institute for Neuroscience, Yale University, New Haven, CT, USA; Department of Psychology, Yale University, New Haven, CT, USA; Wu Tsai Institute, Yale University, New Haven, CT, USA; Department of Neuroscience, Yale University, New Haven, CT, USA.
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2
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Scott DN, Mukherjee A, Nassar MR, Halassa MM. Thalamocortical architectures for flexible cognition and efficient learning. Trends Cogn Sci 2024:S1364-6613(24)00119-0. [PMID: 38886139 DOI: 10.1016/j.tics.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 05/12/2024] [Accepted: 05/13/2024] [Indexed: 06/20/2024]
Abstract
The brain exhibits a remarkable ability to learn and execute context-appropriate behaviors. How it achieves such flexibility, without sacrificing learning efficiency, is an important open question. Neuroscience, psychology, and engineering suggest that reusing and repurposing computations are part of the answer. Here, we review evidence that thalamocortical architectures may have evolved to facilitate these objectives of flexibility and efficiency by coordinating distributed computations. Recent work suggests that distributed prefrontal cortical networks compute with flexible codes, and that the mediodorsal thalamus provides regularization to promote efficient reuse. Thalamocortical interactions resemble hierarchical Bayesian computations, and their network implementation can be related to existing gating, synchronization, and hub theories of thalamic function. By reviewing recent findings and providing a novel synthesis, we highlight key research horizons integrating computation, cognition, and systems neuroscience.
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Affiliation(s)
- Daniel N Scott
- Department of Neuroscience, Brown University, Providence, RI, USA; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI, USA.
| | - Arghya Mukherjee
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA
| | - Matthew R Nassar
- Department of Neuroscience, Brown University, Providence, RI, USA; Robert J. and Nancy D. Carney Institute for Brain Science, Brown University, Providence, RI, USA
| | - Michael M Halassa
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA; Department of Psychiatry, Tufts University School of Medicine, Boston, MA, USA.
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3
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Tang H, Bartolo-Orozco R, Averbeck BB. Ventral frontostriatal circuitry mediates the computation of reinforcement from symbolic gains and losses. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.03.587097. [PMID: 38617219 PMCID: PMC11014508 DOI: 10.1101/2024.04.03.587097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Reinforcement learning (RL), particularly in primates, is often driven by symbolic outcomes. However, it is usually studied with primary reinforcers. To examine the neural mechanisms underlying learning from symbolic outcomes, we trained monkeys on a task in which they learned to choose options that led to gains of tokens and avoid choosing options that led to losses of tokens. We then recorded simultaneously from the orbitofrontal cortex (OFC), ventral striatum (VS), amygdala (AMY), and the mediodorsal thalamus (MDt). We found that the OFC played a dominant role in coding token outcomes and token prediction errors. The other areas contributed complementary functions with the VS coding appetitive outcomes and the AMY coding the salience of outcomes. The MDt coded actions and relayed information about tokens between the OFC and VS. Thus, OFC leads the process of symbolic reinforcement learning in the ventral frontostriatal circuitry.
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4
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Ding C, Yang D, Feldmeyer D. Adenosinergic Modulation of Layer 6 Microcircuitry in the Medial Prefrontal Cortex Is Specific to Presynaptic Cell Type. J Neurosci 2024; 44:e1606232023. [PMID: 38429106 PMCID: PMC11007316 DOI: 10.1523/jneurosci.1606-23.2023] [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: 08/25/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 03/03/2024] Open
Abstract
Adenosinergic modulation in the PFC is recognized for its involvement in various behavioral aspects including sleep homoeostasis, decision-making, spatial working memory and anxiety. While the principal cells of layer 6 (L6) exhibit a significant morphological diversity, the detailed cell-specific regulatory mechanisms of adenosine in L6 remain unexplored. Here, we quantitatively analyzed the morphological and electrophysiological parameters of L6 neurons in the rat medial prefrontal cortex (mPFC) using whole-cell recordings combined with morphological reconstructions. We were able to identify two different morphological categories of excitatory neurons in the mPFC of both juvenile and young adult rats with both sexes. These categories were characterized by a leading dendrite that was oriented either upright (toward the pial surface) or inverted (toward the white matter). These two excitatory neuron subtypes exhibited different electrophysiological and synaptic properties. Adenosine at a concentration of 30 µM indiscriminately suppressed connections with either an upright or an inverted presynaptic excitatory neuron. However, using lower concentrations of adenosine (10 µM) revealed that synapses originating from L6 upright neurons have a higher sensitivity to adenosine-induced inhibition of synaptic release. Adenosine receptor activation causes a reduction in the probability of presynaptic neurotransmitter release that could be abolished by specifically blocking A1 adenosine receptors (A1ARs) using 8-cyclopentyltheophylline (CPT). Our results demonstrate a differential expression level of A1ARs at presynaptic sites of two functionally and morphologically distinct subpopulations of L6 principal neurons, suggesting the intricate functional role of adenosine in neuronal signaling in the brain.
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Affiliation(s)
- Chao Ding
- Research Center Juelich, Institute of Neuroscience and Medicine 10, Research Center Juelich, Juelich 52425, Germany
| | - Danqing Yang
- Research Center Juelich, Institute of Neuroscience and Medicine 10, Research Center Juelich, Juelich 52425, Germany
- Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University Hospital, Aachen 52074, Germany
| | - Dirk Feldmeyer
- Research Center Juelich, Institute of Neuroscience and Medicine 10, Research Center Juelich, Juelich 52425, Germany
- Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University Hospital, Aachen 52074, Germany
- Jülich-Aachen Research Alliance, Translational Brain Medicine (JARA Brain), Aachen 52074, Germany
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5
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Zhou T, Ho YY, Lee RX, Fath AB, He K, Scott J, Bajwa N, Hartley ND, Wilde J, Gao X, Li C, Hong E, Nassar MR, Wimmer RD, Singh T, Halassa MM, Feng G. Enhancement of mediodorsal thalamus rescues aberrant belief dynamics in a mouse model with schizophrenia-associated mutation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.08.574745. [PMID: 38260581 PMCID: PMC10802391 DOI: 10.1101/2024.01.08.574745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Optimizing behavioral strategy requires belief updating based on new evidence, a process that engages higher cognition. In schizophrenia, aberrant belief dynamics may lead to psychosis, but the mechanisms underlying this process are unknown, in part, due to lack of appropriate animal models and behavior readouts. Here, we address this challenge by taking two synergistic approaches. First, we generate a mouse model bearing patient-derived point mutation in Grin2a (Grin2aY700X+/-), a gene that confers high-risk for schizophrenia and recently identified by large-scale exome sequencing. Second, we develop a computationally trackable foraging task, in which mice form and update belief-driven strategies in a dynamic environment. We found that Grin2aY700X+/- mice perform less optimally than their wild-type (WT) littermates, showing unstable behavioral states and a slower belief update rate. Using functional ultrasound imaging, we identified the mediodorsal (MD) thalamus as hypofunctional in Grin2aY700X+/- mice, and in vivo task recordings showed that MD neurons encoded dynamic values and behavioral states in WT mice. Optogenetic inhibition of MD neurons in WT mice phenocopied Grin2aY700X+/- mice, and enhancing MD activity rescued task deficits in Grin2aY700X+/- mice. Together, our study identifies the MD thalamus as a key node for schizophrenia-relevant cognitive dysfunction, and a potential target for future therapeutics.
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Affiliation(s)
- Tingting Zhou
- Yang Tan Collection and McGovern Institute for Brain Research, Massachusetts Institute of Technology
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
| | - Yi-Yun Ho
- Yang Tan Collection and McGovern Institute for Brain Research, Massachusetts Institute of Technology
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
| | - Ray X Lee
- Yang Tan Collection and McGovern Institute for Brain Research, Massachusetts Institute of Technology
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
| | - Amanda B Fath
- Yang Tan Collection and McGovern Institute for Brain Research, Massachusetts Institute of Technology
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
| | - Kathleen He
- Yang Tan Collection and McGovern Institute for Brain Research, Massachusetts Institute of Technology
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
| | - Jonathan Scott
- Department of Neuroscience, Tufts University School of Medicine
| | - Navdeep Bajwa
- Department of Neuroscience, Tufts University School of Medicine
| | - Nolan D Hartley
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard
| | - Jonathan Wilde
- Yang Tan Collection and McGovern Institute for Brain Research, Massachusetts Institute of Technology
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
| | - Xian Gao
- Yang Tan Collection and McGovern Institute for Brain Research, Massachusetts Institute of Technology
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
| | - Cui Li
- Yang Tan Collection and McGovern Institute for Brain Research, Massachusetts Institute of Technology
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
| | - Evan Hong
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
| | | | - Ralf D Wimmer
- Department of Neuroscience, Tufts University School of Medicine
| | - Tarjinder Singh
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard
| | | | - Guoping Feng
- Yang Tan Collection and McGovern Institute for Brain Research, Massachusetts Institute of Technology
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard
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6
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Gartner KE, Samuelsen CL. The role of the mediodorsal thalamus in chemosensory preference and consummatory behavior in rats. Chem Senses 2024; 49:bjae027. [PMID: 38985657 PMCID: PMC11259855 DOI: 10.1093/chemse/bjae027] [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: 03/15/2024] [Indexed: 07/12/2024] Open
Abstract
Experience plays a pivotal role in determining our food preferences. Consuming food generates odor-taste associations that shape our perceptual judgements of chemosensory stimuli, such as their intensity, familiarity, and pleasantness. The process of making consummatory choices relies on a network of brain regions to integrate and process chemosensory information. The mediodorsal thalamus is a higher-order thalamic nucleus involved in many experience-dependent chemosensory behaviors, including olfactory attention, odor discrimination, and the hedonic perception of flavors. Recent research has shown that neurons in the mediodorsal thalamus represent the sensory and affective properties of experienced odors, tastes, and odor-taste mixtures. However, its role in guiding consummatory choices remains unclear. To investigate the influence of the mediodorsal thalamus in the consummatory choice for experienced odors, tastes, and odor-taste mixtures, we pharmacologically inactivated the mediodorsal thalamus during 2-bottle brief-access tasks. We found that inactivation altered the preference for specific odor-taste mixtures, significantly reduced consumption of the preferred taste and increased within-trial sampling of both chemosensory stimulus options. Our results show that the mediodorsal thalamus plays a crucial role in consummatory decisions related to chemosensory preference and attention.
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Affiliation(s)
- Kelly E Gartner
- Department of Neurological Surgery, University of Louisville, Louisville, KY 40202, United States
| | - Chad L Samuelsen
- Department of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY 40202, United States
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7
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Oyama K, Majima K, Nagai Y, Hori Y, Hirabayashi T, Eldridge MAG, Mimura K, Miyakawa N, Fujimoto A, Hori Y, Iwaoki H, Inoue KI, Saunders RC, Takada M, Yahata N, Higuchi M, Richmond BJ, Minamimoto T. Distinct roles of monkey OFC-subcortical pathways in adaptive behavior. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.17.567492. [PMID: 38076986 PMCID: PMC10705585 DOI: 10.1101/2023.11.17.567492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
To be the most successful, primates must adapt to changing environments and optimize their behavior by making the most beneficial choices. At the core of adaptive behavior is the orbitofrontal cortex (OFC) of the brain, which updates choice value through direct experience or knowledge-based inference. Here, we identify distinct neural circuitry underlying these two separate abilities. We designed two behavioral tasks in which macaque monkeys updated the values of certain items, either by directly experiencing changes in stimulus-reward associations, or by inferring the value of unexperienced items based on the task's rules. Chemogenetic silencing of bilateral OFC combined with mathematical model-fitting analysis revealed that monkey OFC is involved in updating item value based on both experience and inference. In vivo imaging of chemogenetic receptors by positron emission tomography allowed us to map projections from the OFC to the rostromedial caudate nucleus (rmCD) and the medial part of the mediodorsal thalamus (MDm). Chemogenetic silencing of the OFC-rmCD pathway impaired experience-based value updating, while silencing the OFC-MDm pathway impaired inference-based value updating. Our results thus demonstrate a dissociable contribution of distinct OFC projections to different behavioral strategies, and provide new insights into the neural basis of value-based adaptive decision-making in primates.
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Affiliation(s)
- Kei Oyama
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
- PRESTO, Japan Science and Technology Agency, Kawaguchi, Japan
| | - Kei Majima
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan
- PRESTO, Japan Science and Technology Agency, Kawaguchi, Japan
| | - Yuji Nagai
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yukiko Hori
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Toshiyuki Hirabayashi
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Mark A G Eldridge
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, USA
| | - Koki Mimura
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
- Research Center for Medical and Health Data Science, The Institute of Statistical Mathematics, Tachikawa, Japan
| | - Naohisa Miyakawa
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Atsushi Fujimoto
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Yuki Hori
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Haruhiko Iwaoki
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Ken-Ichi Inoue
- Systems Neuroscience Section, Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan
| | - Richard C Saunders
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, USA
| | - Masahiko Takada
- Systems Neuroscience Section, Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan
| | - Noriaki Yahata
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Makoto Higuchi
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Barry J Richmond
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, USA
| | - Takafumi Minamimoto
- Department of Functional Brain Imaging, National Institutes for Quantum Science and Technology, Chiba, Japan
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8
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Collomb-Clerc A, Gueguen MCM, Minotti L, Kahane P, Navarro V, Bartolomei F, Carron R, Regis J, Chabardès S, Palminteri S, Bastin J. Human thalamic low-frequency oscillations correlate with expected value and outcomes during reinforcement learning. Nat Commun 2023; 14:6534. [PMID: 37848435 PMCID: PMC10582006 DOI: 10.1038/s41467-023-42380-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 10/09/2023] [Indexed: 10/19/2023] Open
Abstract
Reinforcement-based adaptive decision-making is believed to recruit fronto-striatal circuits. A critical node of the fronto-striatal circuit is the thalamus. However, direct evidence of its involvement in human reinforcement learning is lacking. We address this gap by analyzing intra-thalamic electrophysiological recordings from eight participants while they performed a reinforcement learning task. We found that in both the anterior thalamus (ATN) and dorsomedial thalamus (DMTN), low frequency oscillations (LFO, 4-12 Hz) correlated positively with expected value estimated from computational modeling during reward-based learning (after outcome delivery) or punishment-based learning (during the choice process). Furthermore, LFO recorded from ATN/DMTN were also negatively correlated with outcomes so that both components of reward prediction errors were signaled in the human thalamus. The observed differences in the prediction signals between rewarding and punishing conditions shed light on the neural mechanisms underlying action inhibition in punishment avoidance learning. Our results provide insight into the role of thalamus in reinforcement-based decision-making in humans.
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Affiliation(s)
- Antoine Collomb-Clerc
- Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, 38000, Grenoble, France
| | - Maëlle C M Gueguen
- Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, 38000, Grenoble, France
- Department of Psychiatry, Brain Health Institute and University Behavioral Health Care, Rutgers University-New Brunswick, Piscataway, NJ, USA
| | - Lorella Minotti
- Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, 38000, Grenoble, France
- Neurology Department, University Hospital of Grenoble, Grenoble, France
| | - Philippe Kahane
- Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, 38000, Grenoble, France
- Neurology Department, University Hospital of Grenoble, Grenoble, France
| | - Vincent Navarro
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau, ICM, INSERM, CNRS, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Fabrice Bartolomei
- Timone University Hospital, Sleep Unit, Epileptology and Cerebral Rhythmology, University Hospital of Marseille, Marseille, France
- Aix Marseille University, Inserm, Institut de Neurosciences des Systèmes, Marseille, France
| | - Romain Carron
- Aix Marseille University, Inserm, Institut de Neurosciences des Systèmes, Marseille, France
- Timone University Hospital, Department of functional and stereotactic neurosurgery, University Hospital of Marseille, Marseille, France
| | - Jean Regis
- Neurosurgery Department, University Hospital of Marseille, Marseille, France
| | - Stephan Chabardès
- Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, 38000, Grenoble, France
- Neurosurgery Department, University Hospital of Grenoble, Grenoble, France
| | - Stefano Palminteri
- Laboratoire de Neurosciences Cognitives Computationnelles, Département d'Etudes Cognitives, ENS, PSL, INSERM, Paris, France
| | - Julien Bastin
- Univ. Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences, 38000, Grenoble, France.
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9
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Méndez JC, Perry BAL, Premereur E, Pelekanos V, Ramadan T, Mitchell AS. Variable cardiac responses in rhesus macaque monkeys after discrete mediodorsal thalamus manipulations. Sci Rep 2023; 13:16913. [PMID: 37805650 PMCID: PMC10560229 DOI: 10.1038/s41598-023-42752-4] [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: 11/19/2022] [Accepted: 09/14/2023] [Indexed: 10/09/2023] Open
Abstract
The control of some physiological parameters, such as the heart rate, is known to have a role in cognitive and emotional processes. Cardiac changes are also linked to mental health issues and neurodegeneration. Thus, it is not surprising that many of the brain structures typically associated with cognition and emotion also comprise a circuit-the central automatic network-responsible for the modulation of cardiovascular output. The mediodorsal thalamus (MD) is involved in higher cognitive processes and is also known to be connected to some of the key neural structures that regulate cardiovascular function. However, it is unclear whether the MD has any role in this circuitry. Here, we show that discrete manipulations (microstimulation during anaesthetized functional neuroimaging or localized cytotoxin infusions) to either the magnocellular or the parvocellular MD subdivisions led to observable and variable changes in the heart rate of female and male rhesus macaque monkeys. Considering the central positions that these two MD subdivisions have in frontal cortico-thalamocortical circuits, our findings suggest that MD contributions to autonomic regulation may interact with its identified role in higher cognitive processes, representing an important physiological link between cognition and emotion.
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Affiliation(s)
- Juan Carlos Méndez
- Department of Clinical and Biomedical Sciences, University of Exeter, College House, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK
| | - Brook A L Perry
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Mansfield Road, Oxford, OX1 3TH, UK
| | - Elsie Premereur
- Laboratory for Neuro- and Psychophysiology, KU Leuven, Leuven, Belgium
| | | | - Tamara Ramadan
- Department of Biological Sciences, University of Oxford, Oxford, UK
| | - Anna S Mitchell
- Department of Psychology, Speech and Hearing, University of Canterbury, Christchurch, 8041, New Zealand.
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10
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Qian F, Zhang X, Zhang B, Li J. Hyperactivity of the Lateral Septum Leads to Hypersensitivity in Susceptible Mice. Neurosci Bull 2023; 39:1466-1468. [PMID: 37184607 PMCID: PMC10465425 DOI: 10.1007/s12264-023-01063-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 04/02/2023] [Indexed: 05/16/2023] Open
Affiliation(s)
- Fan Qian
- Neuropsychiatry Research Institute, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China
| | - Xia Zhang
- Neuropsychiatry Research Institute, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China
- Department of Neurology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Bin Zhang
- Neuropsychiatry Research Institute, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China
| | - Jie Li
- Neuropsychiatry Research Institute, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China.
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11
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Gore F, Hernandez M, Ramakrishnan C, Crow AK, Malenka RC, Deisseroth K. Orbitofrontal cortex control of striatum leads economic decision-making. Nat Neurosci 2023; 26:1566-1574. [PMID: 37592039 PMCID: PMC10471500 DOI: 10.1038/s41593-023-01409-1] [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: 02/12/2023] [Accepted: 07/17/2023] [Indexed: 08/19/2023]
Abstract
Animals must continually evaluate stimuli in their environment to decide which opportunities to pursue, and in many cases these decisions can be understood in fundamentally economic terms. Although several brain regions have been individually implicated in these processes, the brain-wide mechanisms relating these regions in decision-making are unclear. Using an economic decision-making task adapted for rats, we find that neural activity in both of two connected brain regions, the ventrolateral orbitofrontal cortex (OFC) and the dorsomedial striatum (DMS), was required for economic decision-making. Relevant neural activity in both brain regions was strikingly similar, dominated by the spatial features of the decision-making process. However, the neural encoding of choice direction in OFC preceded that of DMS, and this temporal relationship was strongly correlated with choice accuracy. Furthermore, activity specifically in the OFC projection to the DMS was required for appropriate economic decision-making. These results demonstrate that choice information in the OFC is relayed to the DMS to lead accurate economic decision-making.
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Affiliation(s)
- Felicity Gore
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Nancy Pritzker Laboratory, Stanford University, Stanford, CA, USA
| | - Melissa Hernandez
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Charu Ramakrishnan
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Ailey K Crow
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Robert C Malenka
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- Nancy Pritzker Laboratory, Stanford University, Stanford, CA, USA
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
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12
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Zhang A, Qiao D, Wang Y, Yang C, Wang Y, Sun N, Hu X, Liu Z, Zhang K. Distinguishing between bipolar depression and unipolar depression based on the reward circuit activities and clinical characteristics: A machine learning analysis. J Affect Disord 2023; 327:46-53. [PMID: 36708957 DOI: 10.1016/j.jad.2023.01.080] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 12/31/2022] [Accepted: 01/21/2023] [Indexed: 01/26/2023]
Abstract
BACKGROUND Differentiating bipolar depression (BD) from unipolar depression (UD) is a major clinical challenge. Identifying the potential classifying biomarkers between these two diseases is vital to optimize personalized management of depressed individuals. METHODS Here, we aimed to integrate neuroimaging and clinical data with machine learning method to classify BD and UD at the individual level. Data were collected from 31 healthy controls (HC group) and 80 depressive patients with an average follow-up period of 7.51 years. Of these patients, 32 got diagnosis conversion from major depressive disorder (MDD) to BD (BD group) and 48 remain persistent diagnosis of MDD (MDD group). Using graph theory and functional connectivity (FC) analysis, we investigated the differences in reward circuit properties among three groups. Then we applied a support vector machine and leave-one-out cross-validation methods to classify BD and UD patients based on neuroimaging and clinical data. RESULTS Compared with MDD and HC, BD showed decreased degree centrality of right mediodorsal thalamus (MD) and nodal efficiency (NE) of left ventral pallidum. Compared with BD and HC, MDD showed decreased NE of right MD and increased FC between right MD and bilateral dorsolateral prefrontal cortex and left ventromedial prefrontal cortex. Notably, the classifier obtained high classification accuracies (87.50 %) distinguishing BD and UD patients based on reward circuit properties and clinical features. LIMITATIONS The classifying model requires out-of-sample replication analysis. CONCLUSION The reward circuit dysfunction can not only provide additional information to assist clinical differential diagnosis, but also in turn informed treatment decision of depressive patients.
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Affiliation(s)
- Aixia Zhang
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Dan Qiao
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Yuchen Wang
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Chunxia Yang
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Yanfang Wang
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Ning Sun
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Xiaodong Hu
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Zhifen Liu
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China.
| | - Kerang Zhang
- Department of Psychiatry, the First Hospital of Shanxi Medical University, Taiyuan 030001, China.
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13
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Perry BAL, Mendez JC, Mitchell AS. Cortico-thalamocortical interactions for learning, memory and decision-making. J Physiol 2023; 601:25-35. [PMID: 35851953 PMCID: PMC10087288 DOI: 10.1113/jp282626] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 06/30/2022] [Indexed: 01/03/2023] Open
Abstract
The thalamus and cortex are interconnected both functionally and anatomically and share a common developmental trajectory. Interactions between the mediodorsal thalamus (MD) and different parts of the prefrontal cortex are essential in cognitive processes, such as learning and adaptive decision-making. Cortico-thalamocortical interactions involving other dorsal thalamic nuclei, including the anterior thalamus and pulvinar, also influence these cognitive processes. Our work, and that of others, indicates a crucial influence of these interdependent cortico-thalamocortical neural networks that contributes actively to the processing of information within the cortex. Each of these thalamic nuclei also receives potent subcortical inputs that are likely to provide additional influences on their regulation of cortical activity. Here, we highlight our current neuroscientific research aimed at establishing when cortico-MD thalamocortical neural network communication is vital within the context of a rapid learning and memory discrimination task. We are collecting evidence of MD-prefrontal cortex neural network communication in awake, behaving male rhesus macaques. Given the prevailing evidence, further studies are needed to identify both broad and specific mechanisms that govern how the MD, anterior thalamus and pulvinar cortico-thalamocortical interactions support learning, memory and decision-making. Current evidence shows that the MD (and the anterior thalamus) are crucial for frontotemporal communication, and the pulvinar is crucial for frontoparietal communication. Such work is crucial to advance our understanding of the neuroanatomical and physiological bases of these brain functions in humans. In turn, this might offer avenues to develop effective treatment strategies to improve the cognitive deficits often observed in many debilitating neurological disorders and diseases and in neurodegeneration.
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Affiliation(s)
- Brook A L Perry
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Juan Carlos Mendez
- Department of Experimental Psychology, University of Oxford, Oxford, UK.,College of Medicine and Health, University of Exeter, Exeter, UK
| | - Anna S Mitchell
- Department of Experimental Psychology, University of Oxford, Oxford, UK
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14
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Ouhaz Z, Perry BAL, Nakamura K, Mitchell AS. Mediodorsal Thalamus Is Critical for Updating during Extradimensional Shifts But Not Reversals in the Attentional Set-Shifting Task. eNeuro 2022; 9:ENEURO.0162-21.2022. [PMID: 35105661 PMCID: PMC8906789 DOI: 10.1523/eneuro.0162-21.2022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 01/05/2022] [Accepted: 01/11/2022] [Indexed: 11/21/2022] Open
Abstract
Cognitive flexibility, attributed to frontal cortex, is vital for navigating the complexities of everyday life. The mediodorsal thalamus (MD), interconnected to frontal cortex, may influence cognitive flexibility. Here, male rats performed an attentional set-shifting task measuring intradimensional (ID) and extradimensional (ED) shifts in sensory discriminations. MD lesion rats needed more trials to learn the rewarded sensory dimension. However, once the choice response strategy was established, learning further two-choice discriminations in the same sensory dimension, and reversals of the reward contingencies in the same dimension, were unimpaired. Critically though, MD lesion rats were impaired during the ED shift, when they must rapidly update the optimal choice response strategy. Behavioral analyses showed MD lesion rats had significantly reduced correct within-trial second choice responses. This evidence shows that transfer of information via the MD is critical when rapid within-trial updates in established choice response strategies are required after a rule change.
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Affiliation(s)
- Zakaria Ouhaz
- Department of Experimental Psychology, University of Oxford, Oxford OX1 3SR, United Kingdom
- Institut Supérieur des Professions Infirmières et Techniques de la Santé, Marrakech 40000, Morocco
| | - Brook A L Perry
- Department of Experimental Psychology, University of Oxford, Oxford OX1 3SR, United Kingdom
| | - Kouichi Nakamura
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX1 3TH, United Kingdom
| | - Anna S Mitchell
- Department of Experimental Psychology, University of Oxford, Oxford OX1 3SR, United Kingdom
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15
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Vaasjo LO, Han X, Thurmon AN, Tiemroth AS, Berndt H, Korn M, Figueroa A, Reyes R, Feliciano-Ramos PA, Galazo MJ. Characterization and manipulation of Corticothalamic neurons in associative cortices using Syt6-Cre transgenic mice. J Comp Neurol 2021; 530:1020-1048. [PMID: 34617601 DOI: 10.1002/cne.25256] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 09/02/2021] [Accepted: 09/13/2021] [Indexed: 12/12/2022]
Abstract
Corticothalamic interactions between associative cortices and higher order thalamic nuclei are involved in high-cognitive functions such as decision-making and working memory. Corticothalamic neurons (CTn) in the prefrontal cortex and other associative areas have been much less studied than their counterparts in the primary sensory areas. The availability of characterized transgenic tools to study CTn in associative areas will facilitate their study and contribute to overcome the scarcity of data about their properties, network dynamics, and contribution to cognitive functions. Here, we characterized the Syt6-Cre (KI148Gsat/Mmud) transgenic mouse line, by tracking expression of a Cre-mediated reporter. In this line, Cre-reporter is strongly expressed in the prefrontal, motor, cingulate, and retrosplenial cortices, as well as in other brain areas including the cerebellum and the olfactory tubercle. Cortical expression starts embryonically and reaches the adult expression pattern by postnatal day 15. In the cortex, Cre-reporter is expressed by layer 6-CTn and by layer 5-CTn to a lesser extent. We quantified Syt6-Cre+ CTn axon varicosities to estimate the distribution and density of putative corticothalamic driver and modulator inputs to thalamic nuclei in the medial, midline, intralaminar, anterior, and motor groups. Also, we characterized the effect of optogenetic stimulation of Syt6-Cre+ neurons in the activity of the prefrontal cortex. CTn stimulation in the prefrontal cortex induces an oscillatory activity in the local field potential that resembles the cortical downstates typically observed during slow-wave sleep or quiet wake.
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Affiliation(s)
- Lee O Vaasjo
- Neuroscience Program, Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA
| | - Xiao Han
- Neuroscience Program, Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA
| | - Abbigail N Thurmon
- Department of Cell and Molecular Biology and Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA
| | - Alina S Tiemroth
- Department of Cell and Molecular Biology and Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA
| | - Hallie Berndt
- Department of Cell and Molecular Biology and Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA
| | - Madelyn Korn
- Department of Cell and Molecular Biology and Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA
| | - Alexandra Figueroa
- Department of Cell and Molecular Biology and Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA
| | - Rosa Reyes
- Department of Cell and Molecular Biology and Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA
| | - Pedro A Feliciano-Ramos
- Department Brain and Cognitive Science, Massachusetts Institute of Technology and Picower Institute for Learning and Memory, Cambridge, Massachusetts, USA
| | - Maria J Galazo
- Neuroscience Program, Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA.,Department of Cell and Molecular Biology and Tulane Brain Institute, Tulane University, New Orleans, Louisiana, USA
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16
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Pérez-Santos I, Palomero-Gallagher N, Zilles K, Cavada C. Distribution of the Noradrenaline Innervation and Adrenoceptors in the Macaque Monkey Thalamus. Cereb Cortex 2021; 31:4115-4139. [PMID: 34003210 PMCID: PMC8328208 DOI: 10.1093/cercor/bhab073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 02/18/2021] [Accepted: 03/03/2021] [Indexed: 11/14/2022] Open
Abstract
Noradrenaline (NA) in the thalamus has important roles in physiological, pharmacological, and pathological neuromodulation. In this work, a complete characterization of NA axons and Alpha adrenoceptors distributions is provided. NA axons, revealed by immunohistochemistry against the synthesizing enzyme and the NA transporter, are present in all thalamic nuclei. The most densely innervated ones are the midline nuclei, intralaminar nuclei (paracentral and parafascicular), and the medial sector of the mediodorsal nucleus (MDm). The ventral motor nuclei and most somatosensory relay nuclei receive a moderate NA innervation. The pulvinar complex receives a heterogeneous innervation. The lateral geniculate nucleus (GL) has the lowest NA innervation. Alpha adrenoceptors were analyzed by in vitro quantitative autoradiography. Alpha-1 receptor densities are higher than Alpha-2 densities. Overall, axonal densities and Alpha adrenoceptor densities coincide; although some mismatches were identified. The nuclei with the highest Alpha-1 values are MDm, the parvocellular part of the ventral posterior medial nucleus, medial pulvinar, and midline nuclei. The nucleus with the lowest Alpha-1 receptor density is GL. Alpha-2 receptor densities are highest in the lateral dorsal, centromedian, medial and inferior pulvinar, and midline nuclei. These results suggest a role for NA in modulating thalamic involvement in consciousness, limbic, cognitive, and executive functions.
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Affiliation(s)
- Isabel Pérez-Santos
- Departamento de Anatomía, Histología y Neurociencia, Facultad de Medicina, Universidad Autónoma de Madrid (UAM), Calle Arzobispo Morcillo 4, 28029 Madrid, Spain
| | - Nicola Palomero-Gallagher
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425 Jülich, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany.,C. & O. Vogt Institute for Brain Research, Heinrich-Heine-University, 40225 Düsseldorf, Germany
| | - Karl Zilles
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, 52425 Jülich, Germany.,C. & O. Vogt Institute for Brain Research, Heinrich-Heine-University, 40225 Düsseldorf, Germany.,JARA-BRAIN, Jülich-Aachen Research Alliance, 52425 Jülich, Germany
| | - Carmen Cavada
- Departamento de Anatomía, Histología y Neurociencia, Facultad de Medicina, Universidad Autónoma de Madrid (UAM), Calle Arzobispo Morcillo 4, 28029 Madrid, Spain
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17
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Perry BAL, Lomi E, Mitchell AS. Thalamocortical interactions in cognition and disease: the mediodorsal and anterior thalamic nuclei. Neurosci Biobehav Rev 2021; 130:162-177. [PMID: 34216651 DOI: 10.1016/j.neubiorev.2021.05.032] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 04/12/2021] [Accepted: 05/17/2021] [Indexed: 01/15/2023]
Abstract
The mediodorsal thalamus (MD) and anterior thalamic nuclei (ATN) are two adjacent brain nodes that support our ability to make decisions, learn, update information, form and retrieve memories, and find our way around. The MD and PFC work in partnerships to support cognitive processes linked to successful learning and decision-making, while the ATN and extended hippocampal system together coordinate the encoding and retrieval of memories and successful spatial navigation. Yet, while these distinctions may appear to be segregated, both the MD and ATN together support our higher cognitive functions as they regulate and are influenced by interconnected fronto-temporal neural networks and subcortical inputs. Our review focuses on recent studies in animal models and in humans. This evidence is re-shaping our understanding of the importance of MD and ATN cortico-thalamocortical pathways in influencing complex cognitive functions. Given the evidence from clinical settings and neuroscience research labs, the MD and ATN should be considered targets for effective treatments in neuropsychiatric diseases and disorders and neurodegeneration.
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Affiliation(s)
- Brook A L Perry
- Department of Experimental Psychology, Oxford University, The Tinsley Building, Mansfield Road, OX1 3SR, United Kingdom
| | - Eleonora Lomi
- Department of Experimental Psychology, Oxford University, The Tinsley Building, Mansfield Road, OX1 3SR, United Kingdom
| | - Anna S Mitchell
- Department of Experimental Psychology, Oxford University, The Tinsley Building, Mansfield Road, OX1 3SR, United Kingdom.
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18
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Neurodevelopment of the incentive network facilitates motivated behaviour from adolescence to adulthood. Neuroimage 2021; 237:118186. [PMID: 34020019 DOI: 10.1016/j.neuroimage.2021.118186] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 05/11/2021] [Accepted: 05/17/2021] [Indexed: 12/28/2022] Open
Abstract
The ability to enhance motivated performance through incentives is crucial to guide and ultimately optimise the outcome of goal-directed behaviour. It remains largely unclear how motivated behaviour and performance develops particularly across adolescence. Here, we used computational fMRI to assess how response speed and its underlying neural circuitry are modulated by reward and loss in a monetary incentive delay paradigm. We demonstrate that maturational fine-tuning of functional coupling within the cortico-striatal incentive circuitry from adolescence to adulthood facilitates the ability to enhance performance selectively for higher subjective values. Additionally, during feedback, we found developmental sex differences of striatal representations of reward prediction errors in an exploratory analysis. Our findings suggest that a reduced capacity to utilise subjective value for motivated behaviour in adolescence is rooted in immature information processing in the incentive system. This indicates that the neurocircuitry for coordination of incentivised, motivated cognitive control acts as a bottleneck for behavioural adjustments in adolescence.
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19
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Kosciessa JQ, Lindenberger U, Garrett DD. Thalamocortical excitability modulation guides human perception under uncertainty. Nat Commun 2021; 12:2430. [PMID: 33893294 PMCID: PMC8065126 DOI: 10.1038/s41467-021-22511-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 03/05/2021] [Indexed: 12/29/2022] Open
Abstract
Knowledge about the relevance of environmental features can guide stimulus processing. However, it remains unclear how processing is adjusted when feature relevance is uncertain. We hypothesized that (a) heightened uncertainty would shift cortical networks from a rhythmic, selective processing-oriented state toward an asynchronous ("excited") state that boosts sensitivity to all stimulus features, and that (b) the thalamus provides a subcortical nexus for such uncertainty-related shifts. Here, we had young adults attend to varying numbers of task-relevant features during EEG and fMRI acquisition to test these hypotheses. Behavioral modeling and electrophysiological signatures revealed that greater uncertainty lowered the rate of evidence accumulation for individual stimulus features, shifted the cortex from a rhythmic to an asynchronous/excited regime, and heightened neuromodulatory arousal. Crucially, this unified constellation of within-person effects was dominantly reflected in the uncertainty-driven upregulation of thalamic activity. We argue that neuromodulatory processes involving the thalamus play a central role in how the brain modulates neural excitability in the face of momentary uncertainty.
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Affiliation(s)
- Julian Q Kosciessa
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany.
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.
| | - Ulman Lindenberger
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Douglas D Garrett
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany.
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
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20
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Mitchell AS, Hartig R, Basso MA, Jarrett W, Kastner S, Poirier C. International primate neuroscience research regulation, public engagement and transparency opportunities. Neuroimage 2021; 229:117700. [PMID: 33418072 PMCID: PMC7994292 DOI: 10.1016/j.neuroimage.2020.117700] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/08/2020] [Accepted: 12/19/2020] [Indexed: 02/07/2023] Open
Abstract
Scientific excellence is a necessity for progress in biomedical research. As research becomes ever more international, establishing international collaborations will be key to advancing our scientific knowledge. Understanding the similarities in standards applied by different nations to animal research, and where the differences might lie, is crucial. Cultural differences and societal values will also contribute to these similarities and differences between countries and continents. Our overview is not comprehensive for all species, but rather focuses on non-human primate (NHP) research, involving New World marmosets and Old World macaques, conducted in countries where NHPs are involved in neuroimaging research. Here, an overview of the ethics and regulations is provided to help assess welfare standards amongst primate research institutions. A comparative examination of these standards was conducted to provide a basis for establishing a common set of standards for animal welfare. These criteria may serve to develop international guidelines, which can be managed by an International Animal Welfare and Use Committee (IAWUC). Internationally, scientists have a moral responsibility to ensure excellent care and welfare of their animals, which in turn, influences the quality of their research. When working with animal models, maintaining a high quality of care ("culture of care") and welfare is essential. The transparent promotion of this level of care and welfare, along with the results of the research and its impact, may reduce public concerns associated with animal experiments in neuroscience research.
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Affiliation(s)
- Anna S Mitchell
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom.
| | - Renée Hartig
- Centre for Integrative Neurosciences, University of Tübingen, Tübingen, Germany; Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michele A Basso
- Fuster Laboratory of Cognitive Neuroscience Department of Psychiatry and Biobehavioral Sciences UCLA Los Angeles 90095, CA United States
| | - Wendy Jarrett
- Understanding Animal Research, London, United Kingdom
| | - Sabine Kastner
- Princeton Neuroscience Institute & Department of Psychology, Princeton University, Princeton, United States
| | - Colline Poirier
- Biosciences Institute & Centre for Behaviour and Evolution, Faculty of Medical Sciences, Newcastle University, United Kingdom
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21
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Thalamic shape abnormalities in patients with multiple sclerosis-related fatigue. Neuroreport 2021; 32:438-442. [PMID: 33788816 DOI: 10.1097/wnr.0000000000001616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Thalamus plays an important role in the pathogenesis of multiple sclerosis-related fatigue (MSrF). However, the thalamus is a heterogeneous structure and the specific thalamic subregions that are involved in this condition are unclear. Here, we used thalamic shape analysis for the detailed localization of thalamic abnormalities in MSrF. Using the Modified Fatigue Impact Scale, we measured fatigue in 42 patients with relapsing-remitting multiple sclerosis (MS). The thalamic shape was extracted from T1w images using an automated pipeline. We investigated the association of thalamic surface deviations with the severity of global fatigue and its cognitive, physical and psychosocial subdomains. Cognitive fatigue was correlated with an inward deformity of the left anteromedial thalamic surface, but no other localized shape deviation was observed in correlation with global, physical or psychosocial fatigue. Our findings indicate that the left anteromedial thalamic subregions are implicated in cognitive fatigue, possibly through their role in reward processing and cognitive and executive functions.
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22
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Ahmed RM, Halliday G, Hodges JR. Hypothalamic symptoms of frontotemporal dementia disorders. HANDBOOK OF CLINICAL NEUROLOGY 2021; 182:269-280. [PMID: 34266598 DOI: 10.1016/b978-0-12-819973-2.00019-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Frontotemporal dementia (FTD) has traditionally been regarded as a disease of cognition and behavior, but emerging evidence suggests that the disease also affects body functions including changes in eating behavior and metabolism, autonomic function, sleep behavior, and sexual function. Central to these changes are potentially complex neural networks involving the hypothalamus, with hypothalamic atrophy shown in behavioral variant FTD. The physiological changes found in FTD are reviewed and the key neural networks and neuroendocrine changes mediating these changes in function discussed, including the ability to use these changes as biomarkers to aid in disease diagnosis, monitoring disease progression, and as potential treatment targets.
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Affiliation(s)
- Rebekah M Ahmed
- Memory and Cognition Clinic, Department of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, NSW, Australia; Central Sydney Medical School and Brain & Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
| | - Glenda Halliday
- Central Sydney Medical School and Brain & Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - John R Hodges
- Central Sydney Medical School and Brain & Mind Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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23
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Genetic variability of memory performance is explained by differences in the brain's thalamus. Nature 2020; 587:549-550. [PMID: 33199900 DOI: 10.1038/d41586-020-03195-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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24
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Wen X, Sun Y, Hu Y, Yu D, Zhou Y, Yuan K. Identification of internet gaming disorder individuals based on ventral tegmental area resting-state functional connectivity. Brain Imaging Behav 2020; 15:1977-1985. [PMID: 33037577 DOI: 10.1007/s11682-020-00391-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/31/2020] [Indexed: 12/24/2022]
Abstract
Objective neuroimaging markers are imminently in need for more accurate clinical diagnosis of Internet gaming disorder (IGD). Recent neuroimaging evidence suggested that IGD is associated with abnormalities in the mesolimbic dopamine (DA) system. As the key nodes of the DA pathways, ventral tegmental area (VTA) and substantia nigra (SN) and their connected brain regions may serve as potential markers to identify IGD. Therefore, we aimed to develop optimal classifiers to identify IGD individuals by using VTA and bilateral SN resting-state functional connectivity (RSFC) patterns. A dataset including 146 adolescents (66 IGDs and 80 healthy controls (HCs)) was used to build classification models and another independent dataset including 28 subjects (14 IGDs and 14 HCs) was employed to validate the generalization ability of the models. Multi-voxel pattern analysis (MVPA) with linear support vector machine (SVM) was used to select the features. Our results demonstrated that the VTA RSFC circuits successfully identified IGD individuals (mean accuracy: 86.1%, mean sensitivity: 84.5%, mean specificity: 86.6%, the mean area under the receiver operating characteristic curve: 0.91). Furthermore, the independent generalization ability of the VTA RSFC classifier model was also satisfied (accuracy = 78.5%, sensitivity = 71.4%, specificity = 85.8%). The VTA connectivity circuits that were selected as distinguishing features were mainly included bilateral thalamus, right hippocampus, right pallidum, right temporal pole superior gyrus and bilateral temporal superior gyrus. These findings demonstrated that the potential of the resting-state neuroimaging features of VTA RSFC as objective biomarkers for the IGD clinical diagnosis in the future.
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Affiliation(s)
- Xinwen Wen
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, Xi'an, China
| | - Yawen Sun
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuzheng Hu
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, People's Republic of China
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Yan Zhou
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China. .,Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, Xi'an, China. .,Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China.
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25
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Jin C, Chen W, Cao Y, Xu Z, Tan Z, Zhang X, Deng L, Zheng C, Zhou J, Shi H, Feng J. Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. Nat Commun 2020; 11:5088. [PMID: 33037212 DOI: 10.1101/823377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 09/04/2020] [Indexed: 05/22/2023] Open
Abstract
Early detection of COVID-19 based on chest CT enables timely treatment of patients and helps control the spread of the disease. We proposed an artificial intelligence (AI) system for rapid COVID-19 detection and performed extensive statistical analysis of CTs of COVID-19 based on the AI system. We developed and evaluated our system on a large dataset with more than 10 thousand CT volumes from COVID-19, influenza-A/B, non-viral community acquired pneumonia (CAP) and non-pneumonia subjects. In such a difficult multi-class diagnosis task, our deep convolutional neural network-based system is able to achieve an area under the receiver operating characteristic curve (AUC) of 97.81% for multi-way classification on test cohort of 3,199 scans, AUC of 92.99% and 93.25% on two publicly available datasets, CC-CCII and MosMedData respectively. In a reader study involving five radiologists, the AI system outperforms all of radiologists in more challenging tasks at a speed of two orders of magnitude above them. Diagnosis performance of chest x-ray (CXR) is compared to that of CT. Detailed interpretation of deep network is also performed to relate system outputs with CT presentations. The code is available at https://github.com/ChenWWWeixiang/diagnosis_covid19 .
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Affiliation(s)
- Cheng Jin
- Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
| | - Weixiang Chen
- Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
| | - Yukun Cao
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Zhanwei Xu
- Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
| | - Zimeng Tan
- Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
| | - Xin Zhang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Lei Deng
- Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Jie Zhou
- Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
| | - Heshui Shi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
| | - Jianjiang Feng
- Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.
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Reed EJ, Uddenberg S, Suthaharan P, Mathys CD, Taylor JR, Groman SM, Corlett PR. Paranoia as a deficit in non-social belief updating. eLife 2020; 9:56345. [PMID: 32452769 PMCID: PMC7326495 DOI: 10.7554/elife.56345] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 05/22/2020] [Indexed: 12/14/2022] Open
Abstract
Paranoia is the belief that harm is intended by others. It may arise from selective pressures to infer and avoid social threats, particularly in ambiguous or changing circumstances. We propose that uncertainty may be sufficient to elicit learning differences in paranoid individuals, without social threat. We used reversal learning behavior and computational modeling to estimate belief updating across individuals with and without mental illness, online participants, and rats chronically exposed to methamphetamine, an elicitor of paranoia in humans. Paranoia is associated with a stronger prior on volatility, accompanied by elevated sensitivity to perceived changes in the task environment. Methamphetamine exposure in rats recapitulates this impaired uncertainty-driven belief updating and rigid anticipation of a volatile environment. Our work provides evidence of fundamental, domain-general learning differences in paranoid individuals. This paradigm enables further assessment of the interplay between uncertainty and belief-updating across individuals and species. Everyone has had fleeting concerns that others might be against them at some point in their lives. Sometimes these concerns can escalate into paranoia and become debilitating. Paranoia is a common symptom in serious mental illnesses like schizophrenia. It can cause extreme distress and is linked with an increased risk of violence towards oneself or others. Understanding what happens in the brains of people experiencing paranoia might lead to better ways to treat or manage it. Some experts argue that paranoia is caused by errors in the way people assess social situations. An alternative idea is that paranoia stems from the way the brain forms and updates beliefs about the world. Now, Reed et al. show that both people with paranoia and rats exposed to a paranoia-inducing substance expect the world will change frequently, change their minds often, and have a harder time learning in response to changing circumstances. In the experiments, human volunteers with and without psychiatric disorders played a game where the best choices change. Then, the participants completed a survey to assess their level of paranoia. People with higher levels of paranoia predicted more changes would occur and made less predictable choices. In a second set of experiments, rats were put in a cage with three holes where they sometimes received sugar rewards. Some of the rats received methamphetamine, a drug that causes paranoia in humans. Rats given the drug also expected the location of the sugar reward would change often. The drugged animals had harder time learning and adapting to changing circumstances. The experiments suggest that brain processes found in both rats, which are less social than humans, and humans contribute to paranoia. This suggests paranoia may make it harder to update beliefs. This may help scientists understand what causes paranoia and develop therapies or drugs that can reduce paranoia. This information may also help scientists understand why during societal crises like wars or natural disasters humans are prone to believing conspiracies. This is particularly important now as the world grapples with climate change and a global pandemic. Reed et al. note paranoia may impede the coordination of collaborative solutions to these challenging situations.
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Affiliation(s)
- Erin J Reed
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, United States.,Yale MD-PhD Program, Yale School of Medicine, New Haven, United States
| | - Stefan Uddenberg
- Princeton Neuroscience Institute, Princeton University, Princeton, United States
| | - Praveen Suthaharan
- Department of Psychiatry, Connecticut Mental Health Center, Yale University, New Have, United States
| | - Christoph D Mathys
- Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy.,Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Jane R Taylor
- Department of Psychiatry, Connecticut Mental Health Center, Yale University, New Have, United States
| | - Stephanie Mary Groman
- Department of Psychiatry, Connecticut Mental Health Center, Yale University, New Have, United States
| | - Philip R Corlett
- Department of Psychiatry, Connecticut Mental Health Center, Yale University, New Have, United States
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Soltani A, Izquierdo A. Adaptive learning under expected and unexpected uncertainty. Nat Rev Neurosci 2020; 20:635-644. [PMID: 31147631 DOI: 10.1038/s41583-019-0180-y] [Citation(s) in RCA: 105] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The outcome of a decision is often uncertain, and outcomes can vary over repeated decisions. Whether decision outcomes should substantially affect behaviour and learning depends on whether they are representative of a typically experienced range of outcomes or signal a change in the reward environment. Successful learning and decision-making therefore require the ability to estimate expected uncertainty (related to the variability of outcomes) and unexpected uncertainty (related to the variability of the environment). Understanding the bases and effects of these two types of uncertainty and the interactions between them - at the computational and the neural level - is crucial for understanding adaptive learning. Here, we examine computational models and experimental findings to distil computational principles and neural mechanisms for adaptive learning under uncertainty.
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Affiliation(s)
- Alireza Soltani
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
| | - Alicia Izquierdo
- Department of Psychology, The Brain Research Institute, University of California, Los Angeles, Los Angeles, CA, USA.
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Differential Roles of Mediodorsal Nucleus of the Thalamus and Prefrontal Cortex in Decision-Making and State Representation in a Cognitive Control Task Measuring Deficits in Schizophrenia. J Neurosci 2020; 40:1650-1667. [PMID: 31941665 DOI: 10.1523/jneurosci.1703-19.2020] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 12/12/2019] [Accepted: 01/05/2020] [Indexed: 11/21/2022] Open
Abstract
The mediodorsal nucleus of the thalamus (MD) is reciprocally connected with the prefrontal cortex (PFC), and although the MD has been implicated in a range of PFC-dependent cognitive functions (Watanabe and Funahashi, 2012; Mitchell and Chakraborty, 2013; Parnaudeau et al., 2018), little is known about how MD neurons in the primate participate specifically in cognitive control, a capability that reflects the ability to use contextual information (such as a rule) to modify responses to environmental stimuli. To learn how the MD-PFC thalamocortical network is engaged to mediate forms of cognitive control that are selectively disrupted in schizophrenia, we trained male monkeys to perform a variant of the AX continuous performance task, which reliably measures cognitive control deficits in patients (Henderson et al., 2012) and used linear multielectrode arrays to record neural activity in the MD and PFC simultaneously. We found that the two structures made clearly different contributions to distributed processing for cognitive control: MD neurons were specialized for decision-making and response selection, whereas prefrontal neurons were specialized to preferentially encode the environmental state on which the decision was based. In addition, we observed that functional coupling between MD and PFC was strongest when the decision as to which of the two responses in the task to execute was being made. These findings delineate unique contributions of MD and PFC to distributed processing for cognitive control and characterized neural dynamics in this network associated with normative cognitive control performance.SIGNIFICANCE STATEMENT Cognitive control is fundamental to healthy human executive functioning (Miller and Cohen, 2001) and deficits in patients with schizophrenia relate to decreased functional activation of the MD thalamus and the prefrontal cortex (Minzenberg et al., 2009), which are reciprocally linked (Goldman-Rakic and Porrino, 1985; Xiao et al., 2009). We carry out simultaneous neural recordings in the MD and PFC while monkeys perform a cognitive control task translated from patients with schizophrenia to relate thalamocortical dynamics to cognitive control performance. Our data suggest that state representation and decision-making computations for cognitive control are preferentially performed by PFC and MD, respectively. This suggests experiments to parse decision-making and state representation deficits in patients while providing novel computational targets for future therapies.
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29
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Ahmed RM, Landin-Romero R, Liang CT, Keogh JM, Henning E, Strikwerda-Brown C, Devenney EM, Hodges JR, Kiernan MC, Farooqi IS, Piguet O. Neural networks associated with body composition in frontotemporal dementia. Ann Clin Transl Neurol 2019; 6:1707-1717. [PMID: 31461580 PMCID: PMC6764740 DOI: 10.1002/acn3.50869] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 07/10/2019] [Accepted: 07/19/2019] [Indexed: 11/29/2022] Open
Abstract
Background Frontotemporal dementia (FTD) is associated with complex changes in eating behavior and metabolism, which potentially affect disease pathogenesis and survival. It is currently not known if body composition changes and changes in fat deposition also exist in FTD, the relationship of these changes in eating behavior and appetite, and whether these changes are centrally mediated. Methods Body composition was measured in 28 people with behavioral‐variant frontotemporal dementia (bvFTD), 16 with Alzheimer’s disease (AD), and 19 healthy controls, using dual energy x‐ray absorptiometry. Changes in body composition were correlated to brain grey matter atrophy using voxel‐based morphometry on high‐resolution magnetic resonance imaging. Results Behavioral‐variant FTD was characterized by changes in body composition, with increased total fat mass, visceral adipose tissue area (VAT area), and android: gynoid ratio compared to control and AD participants (all P values < 0.05). Changes in body composition correlated to abnormal eating behavior and behavioral change (P < 0.01) and functional decline (P < 0.01). Changes in body composition also correlated to grey matter atrophy involving a distributed neural network that included the hippocampus, amygdala, nucleus accumbens, insula, cingulate, and cerebellum – structures known to be central to autonomic control – as well as the thalamus, putamen, accumbens, and caudate, which are involved in reward processing. Conclusions Changes in body composition and fat deposition extend the clinical phenomenology in bvFTD beyond cognition and behavior, with changes associated with changes in reward and autonomic processing suggesting that these deficits may be central in FTD
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Affiliation(s)
- Rebekah M Ahmed
- Memory and Cognition Clinic, Department of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, Australia.,Central Sydney Medical School and Brain & Mind Centre, The University of Sydney, Sydney, Australia
| | - Ramon Landin-Romero
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia.,ARC Centre of Excellence of Cognition and its Disorders, Sydney, Australia
| | - Cheng T Liang
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia.,ARC Centre of Excellence of Cognition and its Disorders, Sydney, Australia
| | - Julia M Keogh
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Elana Henning
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Cherie Strikwerda-Brown
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia.,ARC Centre of Excellence of Cognition and its Disorders, Sydney, Australia
| | - Emma M Devenney
- Central Sydney Medical School and Brain & Mind Centre, The University of Sydney, Sydney, Australia
| | - John R Hodges
- Central Sydney Medical School and Brain & Mind Centre, The University of Sydney, Sydney, Australia.,ARC Centre of Excellence of Cognition and its Disorders, Sydney, Australia
| | - Matthew C Kiernan
- Memory and Cognition Clinic, Department of Clinical Neurosciences, Royal Prince Alfred Hospital, Sydney, Australia.,Central Sydney Medical School and Brain & Mind Centre, The University of Sydney, Sydney, Australia
| | - I Sadaf Farooqi
- University of Cambridge Metabolic Research Laboratories and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Olivier Piguet
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, Australia.,ARC Centre of Excellence of Cognition and its Disorders, Sydney, Australia
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Subramanian D, Alers A, Sommer MA. Corollary Discharge for Action and Cognition. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:782-790. [PMID: 31351985 DOI: 10.1016/j.bpsc.2019.05.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 05/22/2019] [Accepted: 05/22/2019] [Indexed: 11/19/2022]
Abstract
In motor systems, a copy of the movement command known as corollary discharge is broadcast to other regions of the brain to warn them of the impending movement. The premise of this review is that the concept of corollary discharge may generalize in revealing ways to the brain's cognitive systems. An oculomotor pathway from the brain stem to frontal cortex provides a well-established example of how corollary discharge is instantiated for sensorimotor processing. Building on causal evidence from inactivation of the pathway, we motivate forward models as a tool for understanding the contributions of corollary discharge to perception and movement. Finally, we extend the definition of corollary discharge to account for signals that may be used for cognitive forward models of decision making. This framework may provide new insights into signals and circuits that contribute to sequential decision processes, the breakdown of which may account for some symptoms of psychiatric disorders.
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Affiliation(s)
- Divya Subramanian
- Department of Neurobiology, Duke University, Durham, North Carolina; Center for Cognitive Neuroscience, Duke University, Durham, North Carolina
| | - Anthony Alers
- Department of Biomedical Engineering, Duke University, Durham, North Carolina
| | - Marc A Sommer
- Department of Neurobiology, Duke University, Durham, North Carolina; Center for Cognitive Neuroscience, Duke University, Durham, North Carolina; Department of Biomedical Engineering, Duke University, Durham, North Carolina.
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Garibotto V, Wissmeyer M, Giavri Z, Ratib O, Picard F. Nicotinic Acetylcholine Receptor Density in the “Higher-Order” Thalamus Projecting to the Prefrontal Cortex in Humans: a PET Study. Mol Imaging Biol 2019; 22:417-424. [DOI: 10.1007/s11307-019-01377-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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32
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Wolff M, Vann SD. The Cognitive Thalamus as a Gateway to Mental Representations. J Neurosci 2019; 39:3-14. [PMID: 30389839 PMCID: PMC6325267 DOI: 10.1523/jneurosci.0479-18.2018] [Citation(s) in RCA: 195] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 10/24/2018] [Accepted: 10/28/2018] [Indexed: 01/16/2023] Open
Abstract
Historically, the thalamus has been viewed as little more than a relay, simply transferring information to key players of the cast, the cortex and hippocampus, without providing any unique functional contribution. In recent years, evidence from multiple laboratories researching different thalamic nuclei has contradicted this idea of the thalamus as a passive structure. Dated models of thalamic functions are being pushed aside, revealing a greater and far more complex contribution of the thalamus for cognition. In this Viewpoints article, we show how recent data support novel views of thalamic functions that emphasize integrative roles in cognition, ranging from learning and memory to flexible adaption. We propose that these apparently separate cognitive functions may indeed be supported by a more general role in shaping mental representations. Several features of thalamocortical circuits are consistent with this suggested role, and we highlight how divergent and convergent thalamocortical and corticothalamic pathways may complement each other to support these functions. Furthermore, the role of the thalamus for subcortical integration is highlighted as a key mechanism for maintaining and updating representations. Finally, we discuss future areas of research and stress the importance of incorporating new experimental findings into existing knowledge to continue developing thalamic models. The presence of thalamic pathology in a number of neurological conditions reinforces the need to better understand the role of this region in cognition.
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Affiliation(s)
- Mathieu Wolff
- Centre National de la Recherche Scientifique, INCIA, Unité Mixte de Recherche 5287, Bordeaux, France,
- University of Bordeaux, INCIA, Unité Mixte de Recherche 5287, Bordeaux, France, and
| | - Seralynne D Vann
- School of Psychology, Cardiff University, Cardiff, CF10 3AT, United Kingdom
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Huang AS, Mitchell JA, Haber SN, Alia-Klein N, Goldstein RZ. The thalamus in drug addiction: from rodents to humans. Philos Trans R Soc Lond B Biol Sci 2019; 373:rstb.2017.0028. [PMID: 29352027 DOI: 10.1098/rstb.2017.0028] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2017] [Indexed: 02/07/2023] Open
Abstract
Impairments in response inhibition and salience attribution (iRISA) have been proposed to underlie the clinical symptoms of drug addiction as mediated by cortico-striatal-thalamo-cortical networks. The bulk of evidence supporting the iRISA model comes from neuroimaging research that has focused on cortical and striatal influences with less emphasis on the role of the thalamus. Here, we highlight the importance of the thalamus in drug addiction, focusing on animal literature findings on thalamic nuclei in the context of drug-seeking, structural and functional changes of the thalamus as measured by imaging studies in human drug addiction, particularly during drug cue and non-drug reward processing, and response inhibition tasks. Findings from the animal literature suggest that the paraventricular nucleus of the thalamus, the lateral habenula and the mediodorsal nucleus may be involved in the reinstatement, extinction and expression of drug-seeking behaviours. In support of the iRISA model, the human addiction imaging literature demonstrates enhanced thalamus activation when reacting to drug cues and reduced thalamus activation during response inhibition. This pattern of response was further associated with the severity of, and relapse in, drug addiction. Future animal studies could widen their field of focus by investigating the specific role(s) of different thalamic nuclei in different phases of the addiction cycle. Similarly, future human imaging studies should aim to specifically delineate the structure and function of different thalamic nuclei, for example, through the application of advanced imaging protocols at higher magnetic fields (7 Tesla).This article is part of a discussion meeting issue 'Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists'.
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Affiliation(s)
- Anna S Huang
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Suzanne N Haber
- Department of Pharmacology and Physiology, School of Medicine, University of Rochester, Rochester, NY, USA
| | - Nelly Alia-Klein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rita Z Goldstein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA .,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Abstract
Adaptive behavior requires animals to learn from experience. Ideally, learning should both promote choices that lead to rewards and reduce choices that lead to losses. Because the ventral striatum (VS) contains neurons that respond to aversive stimuli and aversive stimuli can drive dopamine release in the VS, it is possible that the VS contributes to learning about aversive outcomes, including losses. However, other work suggests that the VS may play a specific role in learning to choose among rewards, with other systems mediating learning from aversive outcomes. To examine the role of the VS in learning from gains and losses, we compared the performance of macaque monkeys with VS lesions and unoperated controls on a reinforcement learning task. In the task, the monkeys gained or lost tokens, which were periodically cashed out for juice, as outcomes for choices. They learned over trials to choose cues associated with gains, and not choose cues associated with losses. We found that monkeys with VS lesions had a deficit in learning to choose between cues that differed in reward magnitude. By contrast, monkeys with VS lesions performed as well as controls when choices involved a potential loss. We also fit reinforcement learning models to the behavior and compared learning rates between groups. Relative to controls, the monkeys with VS lesions had reduced learning rates for gain cues. Therefore, in this task, the VS plays a specific role in learning to choose between rewarding options.
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Pergola G, Danet L, Pitel AL, Carlesimo GA, Segobin S, Pariente J, Suchan B, Mitchell AS, Barbeau EJ. The Regulatory Role of the Human Mediodorsal Thalamus. Trends Cogn Sci 2018; 22:1011-1025. [PMID: 30236489 PMCID: PMC6198112 DOI: 10.1016/j.tics.2018.08.006] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 07/31/2018] [Accepted: 08/17/2018] [Indexed: 12/17/2022]
Abstract
The function of the human mediodorsal thalamic nucleus (MD) has so far eluded a clear definition in terms of specific cognitive processes and tasks. Although it was at first proposed to play a role in long-term memory, a set of recent studies in animals and humans has revealed a more complex, and broader, role in several cognitive functions. The MD seems to play a multifaceted role in higher cognitive functions together with the prefrontal cortex and other cortical and subcortical brain areas. Specifically, we propose that the MD is involved in the regulation of cortical networks especially when the maintenance and temporal extension of persistent activity patterns in the frontal lobe areas are required.
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Affiliation(s)
- Giulio Pergola
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari 70124, Italy.
| | - Lola Danet
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS 31024, France; CHU Toulouse Purpan, Neurology Department, Toulouse 31059, France
| | - Anne-Lise Pitel
- Normandie University, UNICAEN, PSL Research University, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000 Caen, France
| | - Giovanni A Carlesimo
- Department of Systems Medicine, Tor Vergata University and S. Lucia Foundation, Rome, Italy
| | - Shailendra Segobin
- Normandie University, UNICAEN, PSL Research University, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000 Caen, France
| | - Jérémie Pariente
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS 31024, France; CHU Toulouse Purpan, Neurology Department, Toulouse 31059, France
| | - Boris Suchan
- Clinical Neuropsychology, Ruhr University Bochum, Universitätsstrasse 150, 44801 Bochum, Germany
| | - Anna S Mitchell
- Department of Experimental Psychology, University of Oxford, The Tinsley Building, Mansfield Road, Oxford OX1 3SR, UK; Equivalent contribution as last authors.
| | - Emmanuel J Barbeau
- Centre de recherche Cerveau et Cognition, UMR5549, Université de Toulouse - CNRS, Toulouse 31000, France; Equivalent contribution as last authors
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Ahmed RM, Goldberg ZL, Kaizik C, Kiernan MC, Hodges JR, Piguet O, Irish M. Neural correlates of changes in sexual function in frontotemporal dementia: implications for reward and physiological functioning. J Neurol 2018; 265:2562-2572. [DOI: 10.1007/s00415-018-9024-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Revised: 08/13/2018] [Accepted: 08/17/2018] [Indexed: 01/31/2023]
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Chakraborty S, Ouhaz Z, Mason S, Mitchell AS. Macaque parvocellular mediodorsal thalamus: dissociable contributions to learning and adaptive decision-making. Eur J Neurosci 2018; 49:1041-1054. [PMID: 30022540 PMCID: PMC6519510 DOI: 10.1111/ejn.14078] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 07/03/2018] [Accepted: 07/04/2018] [Indexed: 12/13/2022]
Abstract
Distributed brain networks govern adaptive decision‐making, new learning and rapid updating of information. However, the functional contribution of the rhesus macaque monkey parvocellular nucleus of the mediodorsal thalamus (MDpc) in these key higher cognitive processes remains unknown. This study investigated the impact of MDpc damage in cognition. Preoperatively, animals were trained on an object‐in‐place scene discrimination task that assesses rapid learning of novel information within each session. Bilateral neurotoxic (NMDA and ibotenic acid) MDpc lesions did not impair new learning unless the monkey had also sustained damage to the magnocellular division of the MD (MDmc). Contralateral unilateral MDpc and MDmc damage also impaired new learning, while selective unilateral MDmc damage produced new learning deficits that eventually resolved with repeated testing. In contrast, during food reward (satiety) devaluation, monkeys with either bilateral MDpc damage or combined MDpc and MDmc damage showed attenuated food reward preferences compared to unoperated control monkeys; the selective unilateral MDmc damage left performance intact. Our preliminary results demonstrate selective dissociable roles for the two adjacent nuclei of the primate MD, namely, MDpc, as part of a frontal cortical network, and the MDmc, as part of a frontal‐temporal cortical network, in learning, memory and the cognitive control of behavioural choices after changes in reward value. Moreover, the functional cognitive deficits produced after differing MD damage show that the different subdivisions of the MD thalamus support distributed neural networks to rapidly and fluidly incorporate task‐relevant information, in order to optimise the animals’ ability to receive rewards.
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Affiliation(s)
- Subhojit Chakraborty
- Department of Experimental Psychology, University of Oxford, The Tinsley Building, Mansfield Road, Oxford, OX1 3SR, UK
| | - Zakaria Ouhaz
- Department of Experimental Psychology, University of Oxford, The Tinsley Building, Mansfield Road, Oxford, OX1 3SR, UK
| | - Stuart Mason
- Department of Experimental Psychology, University of Oxford, The Tinsley Building, Mansfield Road, Oxford, OX1 3SR, UK
| | - Anna S Mitchell
- Department of Experimental Psychology, University of Oxford, The Tinsley Building, Mansfield Road, Oxford, OX1 3SR, UK
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Wicker E, Turchi J, Malkova L, Forcelli PA. Mediodorsal thalamus is required for discrete phases of goal-directed behavior in macaques. eLife 2018; 7:37325. [PMID: 29848447 PMCID: PMC6010338 DOI: 10.7554/elife.37325] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 05/31/2018] [Indexed: 01/01/2023] Open
Abstract
Reward contingencies are dynamic: outcomes that were valued at one point may subsequently lose value. Action selection in the face of dynamic reward associations requires several cognitive processes: registering a change in value of the primary reinforcer, adjusting the value of secondary reinforcers to reflect the new value of the primary reinforcer, and guiding action selection to optimal choices. Flexible responding has been evaluated extensively using reinforcer devaluation tasks. Performance on this task relies upon amygdala, Areas 11 and 13 of orbitofrontal cortex (OFC), and mediodorsal thalamus (MD). Differential contributions of amygdala and Areas 11 and 13 of OFC to specific sub-processes have been established, but the role of MD in these sub-processes is unknown. Pharmacological inactivation of the macaque MD during specific phases of this task revealed that MD is required for reward valuation and action selection. This profile is unique, differing from both amygdala and subregions of the OFC. Most of us have experienced feeling full after a main course, only to discover that we somehow still have room for dessert. Eating a particular foodstuff to the point of satiety makes that item temporarily less appealing. This is an example of reward devaluation. We typically respond to this phenomenon by adjusting our behavior. We give up on the main course, for example, and turn our attention instead to dessert. This ability to adjust our actions based on changes in the value of their outcomes is a form of behavioral flexibility. Several brain regions contribute to behavioral flexibility. These include the amygdala, parts of the orbitofrontal cortex, and the mediodorsal thalamus. Wicker et al. have now explored the role of the mediodorsal thalamus by temporarily inactivating it in monkeys performing a task involving reward devaluation. The monkeys learned to associate one set of objects with peanuts and another with fruit. They were then given unlimited access to either peanuts or fruit. Finally, they were offered a choice between the two sets of objects. Like people who opt for dessert rather than another helping of a main course, the monkeys that had received peanuts chose the objects associated with fruit, and vice versa. Temporarily inactivating the mediodorsal thalamus prevented this change in behavior. This occurred if the inactivation took place while the monkeys had unlimited access to the reward, or if it took place while they were choosing between the two objects. The mediodorsal thalamus is thus required both to update the value of a reward and to select the best course of action. This is in contrast to the amygdala and the orbitofrontal cortex, which each support only one of these processes. Impaired behavioral flexibility is a hallmark of neuropsychiatric disorders, including addiction. Understanding the brain networks that support flexible responding may help improve the treatment of such disorders. As therapies that involve electrically stimulating the brain become more common, knowing which regions to avoid will be just as important as identifying new targets.
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Affiliation(s)
- Evan Wicker
- Department of Pharmacology and Physiology, Georgetown University, Washington, United States
| | - Janita Turchi
- Laboratory of Neuropsychology, National Institute of Mental Health, Maryland, United States
| | - Ludise Malkova
- Department of Pharmacology and Physiology, Georgetown University, Washington, United States.,Interdisciplinary Program in Neuroscience, Georgetown University, Washington, United States
| | - Patrick A Forcelli
- Department of Pharmacology and Physiology, Georgetown University, Washington, United States.,Interdisciplinary Program in Neuroscience, Georgetown University, Washington, United States.,Department of Neuroscience, Georgetown University, Washington, United States
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Parnaudeau S, Bolkan SS, Kellendonk C. The Mediodorsal Thalamus: An Essential Partner of the Prefrontal Cortex for Cognition. Biol Psychiatry 2018; 83:648-656. [PMID: 29275841 PMCID: PMC5862748 DOI: 10.1016/j.biopsych.2017.11.008] [Citation(s) in RCA: 162] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 11/06/2017] [Accepted: 11/06/2017] [Indexed: 01/17/2023]
Abstract
Deficits in cognition are a core feature of many psychiatric conditions, including schizophrenia, where the severity of such deficits is a strong predictor of long-term outcome. Impairment in cognitive domains such as working memory and behavioral flexibility has typically been associated with prefrontal cortex (PFC) dysfunction. However, there is increasing evidence that the PFC cannot be dissociated from its main thalamic counterpart, the mediodorsal thalamus (MD). Since the causal relationships between MD-PFC abnormalities and cognitive impairment, as well as the neuronal mechanisms underlying them, are difficult to address in humans, animal models have been employed for mechanistic insight. In this review, we discuss anatomical, behavioral, and electrophysiological findings from animal studies that provide a new understanding on how MD-PFC circuits support higher-order cognitive function. We argue that the MD may be required for amplifying and sustaining cortical representations under different behavioral conditions. These findings advance a new framework for the broader involvement of distributed thalamo-frontal circuits in cognition and point to the MD as a potential therapeutic target for improving cognitive deficits in schizophrenia and other disorders.
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Affiliation(s)
- Sébastien Parnaudeau
- Sorbonne Universités, Université Pierre et Marie Curie Paris 06, Institut de Biologie Paris Seine UM119, Neuroscience Paris Seine, Centre National de la Recherche Scientifique UMR8246, Institut National de la Santé et de la Recherche Médicale U1130, Paris, France
| | - Scott S Bolkan
- Graduate Program in Neurobiology and Behavior, Columbia University, College of Physicians and Surgeons, New York, New York
| | - Christoph Kellendonk
- Departments of Pharmacology and Psychiatry, Columbia University, College of Physicians and Surgeons, New York, New York; Division of Molecular Therapeutics, New York State Psychiatric Institute, New York, New York.
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Ouhaz Z, Fleming H, Mitchell AS. Cognitive Functions and Neurodevelopmental Disorders Involving the Prefrontal Cortex and Mediodorsal Thalamus. Front Neurosci 2018; 12:33. [PMID: 29467603 PMCID: PMC5808198 DOI: 10.3389/fnins.2018.00033] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 01/15/2018] [Indexed: 11/13/2022] Open
Abstract
The mediodorsal nucleus of the thalamus (MD) has been implicated in executive functions (such as planning, cognitive control, working memory, and decision-making) because of its significant interconnectivity with the prefrontal cortex (PFC). Yet, whilst the roles of the PFC have been extensively studied, how the MD contributes to these cognitive functions remains relatively unclear. Recently, causal evidence in monkeys has demonstrated that in everyday tasks involving rapid updating (e.g., while learning something new, making decisions, or planning the next move), the MD and frontal cortex are working in close partnership. Furthermore, researchers studying the MD in rodents have been able to probe the underlying mechanisms of this relationship to give greater insights into how the frontal cortex and MD might interact during the performance of these essential tasks. This review summarizes the circuitry and known neuromodulators of the MD, and considers the most recent behavioral, cognitive, and neurophysiological studies conducted in monkeys and rodents; in total, this evidence demonstrates that MD makes a critical contribution to cognitive functions. We propose that communication occurs between the MD and the frontal cortex in an ongoing, fluid manner during rapid cognitive operations, via the means of efference copies of messages passed through transthalamic routes; the conductance of these messages may be modulated by other brain structures interconnected to the MD. This is similar to the way in which other thalamic structures have been suggested to carry out forward modeling associated with rapid motor responding and visual processing. Given this, and the marked thalamic pathophysiology now identified in many neuropsychiatric disorders, we suggest that changes in the different subdivisions of the MD and their interconnections with the cortex could plausibly give rise to a number of the otherwise disparate symptoms (including changes to olfaction and cognitive functioning) that are associated with many different neuropsychiatric disorders. In particular, we will focus here on the cognitive symptoms of schizophrenia and suggest testable hypotheses about how changes to MD-frontal cortex interactions may affect cognitive processes in this disorder.
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Affiliation(s)
- Zakaria Ouhaz
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Hugo Fleming
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - Anna S Mitchell
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
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41
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Alcaraz F, Fresno V, Marchand AR, Kremer EJ, Coutureau E, Wolff M. Thalamocortical and corticothalamic pathways differentially contribute to goal-directed behaviors in the rat. eLife 2018; 7:32517. [PMID: 29405119 PMCID: PMC5800843 DOI: 10.7554/elife.32517] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Accepted: 01/12/2018] [Indexed: 01/06/2023] Open
Abstract
Highly distributed neural circuits are thought to support adaptive decision-making in volatile and complex environments. Notably, the functional interactions between prefrontal and reciprocally connected thalamic nuclei areas may be important when choices are guided by current goal value or action-outcome contingency. We examined the functional involvement of selected thalamocortical and corticothalamic pathways connecting the dorsomedial prefrontal cortex (dmPFC) and the mediodorsal thalamus (MD) in the behaving rat. Using a chemogenetic approach to inhibit projection-defined dmPFC and MD neurons during an instrumental learning task, we show that thalamocortical and corticothalamic pathways differentially support goal attributes. Both pathways participate in adaptation to the current goal value, but only thalamocortical neurons are required to integrate current causal relationships. These data indicate that antiparallel flow of information within thalamocortical circuits may convey qualitatively distinct aspects of adaptive decision-making and highlight the importance of the direction of information flow within neural circuits. Planning and decision-making rely upon a region of the brain called the prefrontal cortex. But the prefrontal cortex does not act in isolation. Instead, it works together with a number of other brain regions. These include the thalamus, an area long thought to pass information on to the cortex for further processing. But signals also travel in the opposite direction, from the cortex back to the thalamus. Does the cortex-to-thalamus pathway carry the same information as the thalamus-to-cortex pathway? To find out, Alcaraz et al. blocked each pathway in rats performing a decision-making task. The rats had learned that pressing a lever led to one type of reward, whereas moving a rod led to another. Alcaraz et al. reduced the desirability of one of the rewards by giving the rats free access to it for an hour. Afterwards, the rats opted mainly for the action associated with the reward that had remained desirable. However, blocking either the thalamus-to-cortex or cortex-to-thalamus pathway prevented this preference from emerging. This suggests that an information flow in both directions is necessary to update knowledge about the value of a reward. In a second experiment, Alcaraz et al. removed the link between one of the actions and its reward. The reward instead appeared at random, irrespective of the rat’s own behavior. Control rats responded by focusing their efforts on the action that still delivered a reliable reward, and by performing the other action less often. Blocking the thalamus-to-cortex pathway prevented this response, but blocking the cortex-to-thalamus pathway did not. This suggests that only the former pathway is necessary to re-evaluate the relationship between an action and an outcome. Two key aspects of goal-directed behavior – recognizing the value of a reward and the link between an action and an outcome – thus depend differently on the thalamus-to-cortex and cortex-to-thalamus pathways. This same principle may also be at work in other neural circuits with bidirectional connections. Understanding such principles may lead to better strategies for treating disorders of brain connectivity, such as schizophrenia.
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Affiliation(s)
- Fabien Alcaraz
- CNRS, INCIA, UMR 5287, Bordeaux, France.,Université de Bordeaux, INCIA, UMR 5287, Bordeaux, France
| | - Virginie Fresno
- CNRS, INCIA, UMR 5287, Bordeaux, France.,Université de Bordeaux, INCIA, UMR 5287, Bordeaux, France
| | - Alain R Marchand
- CNRS, INCIA, UMR 5287, Bordeaux, France.,Université de Bordeaux, INCIA, UMR 5287, Bordeaux, France
| | - Eric J Kremer
- Institut de Génétique Moléculaire de Montpellier, University of Montpellier, CNRS, Montpellier, France
| | - Etienne Coutureau
- CNRS, INCIA, UMR 5287, Bordeaux, France.,Université de Bordeaux, INCIA, UMR 5287, Bordeaux, France
| | - Mathieu Wolff
- CNRS, INCIA, UMR 5287, Bordeaux, France.,Université de Bordeaux, INCIA, UMR 5287, Bordeaux, France
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42
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Salling MC, Hodge CJ, Psilos KE, Eastman VR, Faccidomo SP, Hodge CW. Cue-induced reinstatement of alcohol-seeking behavior is associated with increased CaMKII T286 phosphorylation in the reward pathway of mice. Pharmacol Biochem Behav 2017; 163:20-29. [PMID: 29100991 DOI: 10.1016/j.pbb.2017.10.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 09/28/2017] [Accepted: 10/27/2017] [Indexed: 12/18/2022]
Abstract
Cue-induced reinstatement of alcohol-seeking is a hallmark behavioral pathology of addiction. Evidence suggests that reinstatement (e.g., relapse), may be regulated by cell signaling systems that underlie neuroplasticity. A variety of plasticity events require activation of calcium calmodulin-dependent protein kinase II (CaMKII) in components of the reward pathway, such as the nucleus accumbens and amygdala. We sought to determine if cue-induced reinstatement of alcohol-seeking behavior is associated with changes in the activation state (e.g., phosphorylation) of CaMKII-T286. Male C57BL/6J mice (n=14) were trained to lever press on a fixed-ratio-4 schedule of sweetened alcohol (2% sucrose+9% EtOH) reinforcement. After 14-d of extinction (no cues or reinforcers), mice underwent a response-contingent reinstatement (n=7) vs. an additional day of extinction (n=7). Brains were removed immediately after the test and processed for evaluation of pCaMKII-T286 immunoreactivity (IR). Number of pCaMKII-T286 positive cells/mm2 was quantified from coronal brain sections using Bioquant Image Analysis software. Mice emitted significantly more responses on the alcohol vs. the inactive lever throughout the baseline phase with average alcohol intake of 1.1±0.03g/kg/1-h. During extinction, responses on the alcohol lever decreased to inactive lever levels by day 7. Significant cue-induced reinstatement of alcohol-seeking was observed during a single test with no effects on the inactive lever. Reinstatement was associated with increased pCaMKII-T286 IR specifically in amygdala (LA and BLA), nucleus accumbens (AcbSh), lateral septum, mediodorsal thalamus, and piriform cortex as compared to extinction control. Brain regions showing no change included the dorsal striatum, medial septum, cingulate cortex, habenula, paraventricular thalamus, and ventral hypothalamus. These results show response contingent cue-induced reinstatement of alcohol-seeking behavior is associated with selective increases in pCaMKII-T286 in specific reward- and memory-related brain regions of male C57BL/6J mice. Primary molecular mechanisms of associative learning and memory may regulate relapse in alcohol addiction.
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Affiliation(s)
- Michael C Salling
- Curriculum in Neurobiology, University of North Carolina at Chapel Hill, Thurston-Bowles Building; CB #7178, Chapel Hill, NC 27599, United States
| | - Christopher J Hodge
- Bowles Center for Alcohol Studies, University of North Carolina at Chapel Hill, Thurston-Bowles Building; CB #7178, Chapel Hill, NC 27599, United States
| | - Kelly E Psilos
- Bowles Center for Alcohol Studies, University of North Carolina at Chapel Hill, Thurston-Bowles Building; CB #7178, Chapel Hill, NC 27599, United States
| | - Vallari R Eastman
- Bowles Center for Alcohol Studies, University of North Carolina at Chapel Hill, Thurston-Bowles Building; CB #7178, Chapel Hill, NC 27599, United States
| | - Sara P Faccidomo
- Bowles Center for Alcohol Studies, University of North Carolina at Chapel Hill, Thurston-Bowles Building; CB #7178, Chapel Hill, NC 27599, United States
| | - Clyde W Hodge
- Department of Psychiatry, University of North Carolina at Chapel Hill, Thurston-Bowles Building; CB #7178, Chapel Hill, NC 27599, United States; Department of Pharmacology, University of North Carolina at Chapel Hill, Thurston-Bowles Building; CB #7178, Chapel Hill, NC 27599, United States; Bowles Center for Alcohol Studies, University of North Carolina at Chapel Hill, Thurston-Bowles Building; CB #7178, Chapel Hill, NC 27599, United States; Curriculum in Neurobiology, University of North Carolina at Chapel Hill, Thurston-Bowles Building; CB #7178, Chapel Hill, NC 27599, United States.
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43
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Mediodorsal Thalamic Neurons Mirror the Activity of Medial Prefrontal Neurons Responding to Movement and Reinforcement during a Dynamic DNMTP Task. eNeuro 2017; 4:eN-NWR-0196-17. [PMID: 29034318 PMCID: PMC5639418 DOI: 10.1523/eneuro.0196-17.2017] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 09/19/2017] [Accepted: 09/25/2017] [Indexed: 01/12/2023] Open
Abstract
The mediodorsal nucleus (MD) interacts with medial prefrontal cortex (mPFC) to support learning and adaptive decision-making. MD receives driver (layer 5) and modulatory (layer 6) projections from PFC and is the main source of driver thalamic projections to middle cortical layers of PFC. Little is known about the activity of MD neurons and their influence on PFC during decision-making. We recorded MD neurons in rats performing a dynamic delayed nonmatching to position (dDNMTP) task and compared results to a previous study of mPFC with the same task (Onos et al., 2016). Criterion event-related responses were observed for 22% (254/1179) of neurons recorded in MD, 237 (93%) of which exhibited activity consistent with mPFC response types. More MD than mPFC neurons exhibited responses related to movement (45% vs. 29%) and reinforcement (51% vs. 27%). MD had few responses related to lever presses, and none related to preparation or memory delay, which constituted 43% of event-related activity in mPFC. Comparison of averaged normalized population activity and population response times confirmed the broad similarity of common response types in MD and mPFC and revealed differences in the onset and offset of some response types. Our results show that MD represents information about actions and outcomes essential for decision-making during dDNMTP, consistent with evidence from lesion studies that MD supports reward-based learning and action-selection. These findings support the hypothesis that MD reinforces task-relevant neural activity in PFC that gives rise to adaptive behavior.
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Wang Z, Liang S, Yu S, Xie T, Wang B, Wang J, Li Y, Shan B, Cui C. Distinct Roles of Dopamine Receptors in the Lateral Thalamus in a Rat Model of Decisional Impulsivity. Neurosci Bull 2017; 33:413-422. [PMID: 28585114 DOI: 10.1007/s12264-017-0146-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 04/12/2017] [Indexed: 01/02/2023] Open
Abstract
The thalamus and central dopamine signaling have been shown to play important roles in high-level cognitive processes including impulsivity. However, little is known about the role of dopamine receptors in the thalamus in decisional impulsivity. In the present study, rats were tested using a delay discounting task and divided into three groups: high impulsivity (HI), medium impulsivity (MI), and low impulsivity (LI). Subsequent in vivo voxel-based magnetic resonance imaging revealed that the HI rats displayed a markedly reduced density of gray matter in the lateral thalamus compared with the LI rats. In the MI rats, the dopamine D1 receptor antagonist SCH23390 or the D2 receptor antagonist eticlopride was microinjected into the lateral thalamus. SCH23390 significantly decreased their choice of a large, delayed reward and increased their omission of lever presses. In contrast, eticlopride increased the choice of a large, delayed reward but had no effect on the omissions. Together, our results indicate that the lateral thalamus is involved in decisional impulsivity, and dopamine D1 and D2 receptors in the lateral thalamus have distinct effects on decisional impulsive behaviors in rats. These results provide a new insight into the dopamine signaling in the lateral thalamus in decisional impulsivity.
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Affiliation(s)
- Zhiyan Wang
- Neuroscience Research Institute, Peking University, Beijing, 100191, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.,Key Laboratory of Neuroscience, The Ministry of Education and Ministry of Public Health, Beijing, 100191, China
| | - Shengxiang Liang
- Division of Nuclear Technology and Applications, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China
| | - Shuangshuang Yu
- Neuroscience Research Institute, Peking University, Beijing, 100191, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.,Key Laboratory of Neuroscience, The Ministry of Education and Ministry of Public Health, Beijing, 100191, China
| | - Tong Xie
- Neuroscience Research Institute, Peking University, Beijing, 100191, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.,Key Laboratory of Neuroscience, The Ministry of Education and Ministry of Public Health, Beijing, 100191, China
| | - Baicheng Wang
- Neuroscience Research Institute, Peking University, Beijing, 100191, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.,Key Laboratory of Neuroscience, The Ministry of Education and Ministry of Public Health, Beijing, 100191, China
| | - Junkai Wang
- Neuroscience Research Institute, Peking University, Beijing, 100191, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.,Key Laboratory of Neuroscience, The Ministry of Education and Ministry of Public Health, Beijing, 100191, China
| | - Yijing Li
- Neuroscience Research Institute, Peking University, Beijing, 100191, China.,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China.,Key Laboratory of Neuroscience, The Ministry of Education and Ministry of Public Health, Beijing, 100191, China
| | - Baoci Shan
- Division of Nuclear Technology and Applications, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China
| | - Cailian Cui
- Neuroscience Research Institute, Peking University, Beijing, 100191, China. .,Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing, 100191, China. .,Key Laboratory of Neuroscience, The Ministry of Education and Ministry of Public Health, Beijing, 100191, China.
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45
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Linley SB, Gallo MM, Vertes RP. Lesions of the ventral midline thalamus produce deficits in reversal learning and attention on an odor texture set shifting task. Brain Res 2016; 1649:110-122. [PMID: 27544424 PMCID: PMC5796786 DOI: 10.1016/j.brainres.2016.08.022] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Revised: 08/15/2016] [Accepted: 08/17/2016] [Indexed: 12/13/2022]
Abstract
The nucleus reuniens (RE) of the ventral midline thalamus is strongly reciprocally connected with the hippocampus (HF) and the medial prefrontal cortex (mPFC) and has been shown to mediate the transfer of information between these structures. It has become increasingly well established that RE serves a critical role in mnemonic tasks requiring the interaction of the HF and mPFC, but essentially not tasks relying solely on the HF. Very few studies have addressed the independent actions of RE on prefrontal executive functioning. The present report examined the effects of lesions of the ventral midline thalamus, including RE and the dorsally adjacent rhomboid nucleus (RH) in rats on attention and behavioral flexibility using the attentional set shifting task (AST). The task uses odor and tactile stimuli to test for attentional set formation, attentional set shifting, behavioral flexibility and reversal learning. By comparison with sham controls, lesioned rats were significantly impaired on reversal learning and intradimensional (ID) set shifting. Specifically, RE/RH lesioned rats were impaired on the first reversal stage of the task which required a change in response strategy to select a previously non-rewarded stimulus for reward. RE/RH lesioned rats also exhibited deficits in the ability to transfer or generalize rules of the task which requires making the same modality-based choices (e.g., odor vs. tactile) to different sets of stimuli in the ID stage of the task. These results demonstrate that in addition to its role in tasks dependent on HF-mPFC interactions, nucleus reuniens is also critically involved cognitive/executive functions associated with the medial prefrontal cortex. As such, the deficits in the AST task produced by RE/RH lesions suggest the ventral midline thalamus directly contributes to flexible goal directed behavior.
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Affiliation(s)
- Stephanie B Linley
- Department of Psychology, Florida Atlantic University, Boca Raton, FL 33431, United States; Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL 33431, United States
| | - Michelle M Gallo
- Department of Psychology, Florida Atlantic University, Boca Raton, FL 33431, United States
| | - Robert P Vertes
- Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL 33431, United States.
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