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Melleu FF, Canteras NS. Neural Circuits of Fear and Anxiety: Insights from a Neuroethological Perspective. Physiology (Bethesda) 2025; 40:0. [PMID: 39661324 DOI: 10.1152/physiol.00042.2024] [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: 08/22/2024] [Revised: 11/13/2024] [Accepted: 11/26/2024] [Indexed: 12/12/2024] Open
Abstract
The predatory imminence continuum (PIC) of antipredator defensive behavior has been a helpful strategy for modeling anxiety and fear-related disorders in nonclinical research. The PIC is divided into three different sequential stages that reflect defensive behavioral strategy in response to predatory imminence. However, the PIC was experimentally addressed with a series of shock-based fear conditioning experiments rather than predatory threats. In this article, we consider the PIC in a more naturalistic behavioral setting, focusing on analyzing the neural systems of animals responding to terrestrial and aerial predators. Of relevance, there is a sequential engagement of the distinct neural circuits along each phase of the PIC. In the preencounter phase, prefrontal cortical networks are particularly involved in planning and organizing behavioral responses to ambiguous threats. As the predatory cues or the real predator is detected, there is an engagement of amygdalar and hippocampal > hypothalamic pathways in conjunction with the periaqueductal gray, which organize fear responses. This dynamic particularly reveals how specific neural circuits are set into action to subserve distinct defensive responses. Moreover, we further explore the neural circuits governing other fearful situations outside the context of the PIC, including agonistic social encounters and interoceptive challenges. This analysis reveals an interesting overlap between the neural systems responding to these threats and those involved in response to predatory threats. The present review clarifies how defensive circuits respond to natural threats and provides a more realistic view of the neural systems underlying anxiety and fear responses.
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Affiliation(s)
| | - Newton Sabino Canteras
- Department of Anatomy, Institute of Biomedical SciencesUniversity of São Paulo, São Paulo, Brazil
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2
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Broersen R, Thompson G, Thomas F, Stuart GJ. Binocular processing facilitates escape behavior through multiple pathways to the superior colliculus. Curr Biol 2025; 35:1242-1257.e9. [PMID: 39983730 DOI: 10.1016/j.cub.2025.01.066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Revised: 11/25/2024] [Accepted: 01/29/2025] [Indexed: 02/23/2025]
Abstract
The superior colliculus (SC) is the main brain region regulating defensive behaviors to visual threats. Yet, how the SC integrates binocular visual information and to what extent binocular vision drives defensive behaviors remains unknown. Here, we show that SC neurons respond to binocular visual input with diverse synaptic and spiking responses, summating visual inputs largely sublinearly. Using pathway-specific optogenetic silencing, we find that contralateral and ipsilateral visual information is carried to binocular SC neurons through retinal, interhemispheric, and corticotectal pathways. These pathways carry binocular visual input to the SC in a layer-specific manner, with superficial layers receiving visual information through retinal input, whereas intermediate and deep layers rely on interhemispheric and corticotectal pathways. We further show that binocular vision facilitates visually evoked escape behavior. Together, our data shed light on the cellular and circuit mechanisms underlying binocular visual processing in the SC and its role in defensive behaviors to visual threats.
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Affiliation(s)
- Robin Broersen
- Eccles Institute of Neuroscience, John Curtin School of Medical Research, Australian National University, 131 Garran Rd, Acton, ACT 2601, Australia; Department of Neuroscience, Erasmus MC, Wytemaweg 80, 3015 CN Rotterdam, the Netherlands.
| | - Genevieve Thompson
- Eccles Institute of Neuroscience, John Curtin School of Medical Research, Australian National University, 131 Garran Rd, Acton, ACT 2601, Australia
| | - Felix Thomas
- Eccles Institute of Neuroscience, John Curtin School of Medical Research, Australian National University, 131 Garran Rd, Acton, ACT 2601, Australia
| | - Greg J Stuart
- Eccles Institute of Neuroscience, John Curtin School of Medical Research, Australian National University, 131 Garran Rd, Acton, ACT 2601, Australia; Department of Physiology, Monash University, Wellington Rd, Clayton, VIC 3800, Australia.
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3
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Ricci A, Rubino E, Serra GP, Wallén-Mackenzie Å. Concerning neuromodulation as treatment of neurological and neuropsychiatric disorder: Insights gained from selective targeting of the subthalamic nucleus, para-subthalamic nucleus and zona incerta in rodents. Neuropharmacology 2024; 256:110003. [PMID: 38789078 DOI: 10.1016/j.neuropharm.2024.110003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/26/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024]
Abstract
Neuromodulation such as deep brain stimulation (DBS) is advancing as a clinical intervention in several neurological and neuropsychiatric disorders, including Parkinson's disease, dystonia, tremor, and obsessive-compulsive disorder (OCD) for which DBS is already applied to alleviate severely afflicted individuals of symptoms. Tourette syndrome and drug addiction are two additional disorders for which DBS is in trial or proposed as treatment. However, some major remaining obstacles prevent this intervention from reaching its full therapeutic potential. Side-effects have been reported, and not all DBS-treated individuals are relieved of their symptoms. One major target area for DBS electrodes is the subthalamic nucleus (STN) which plays important roles in motor, affective and associative functions, with impact on for example movement, motivation, impulsivity, compulsivity, as well as both reward and aversion. The multifunctionality of the STN is complex. Decoding the anatomical-functional organization of the STN could enhance strategic targeting in human patients. The STN is located in close proximity to zona incerta (ZI) and the para-subthalamic nucleus (pSTN). Together, the STN, pSTN and ZI form a highly heterogeneous and clinically important brain area. Rodent-based experimental studies, including opto- and chemogenetics as well as viral-genetic tract tracings, provide unique insight into complex neuronal circuitries and their impact on behavior with high spatial and temporal precision. This research field has advanced tremendously over the past few years. Here, we provide an inclusive review of current literature in the pre-clinical research fields centered around STN, pSTN and ZI in laboratory mice and rats; the three highly heterogeneous and enigmatic structures brought together in the context of relevance for treatment strategies. Specific emphasis is placed on methods of manipulation and behavioral impact.
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Affiliation(s)
- Alessia Ricci
- Uppsala University, Department of Organism Biology, 756 32 Uppsala, Sweden; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Eleonora Rubino
- Uppsala University, Department of Organism Biology, 756 32 Uppsala, Sweden; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Gian Pietro Serra
- Uppsala University, Department of Organism Biology, 756 32 Uppsala, Sweden; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA
| | - Åsa Wallén-Mackenzie
- Uppsala University, Department of Organism Biology, 756 32 Uppsala, Sweden; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.
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4
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Kim EJ, Kong MS, Park S, Cho J, Kim JJ. Periaqueductal gray activates antipredatory neural responses in the amygdala of foraging rats. eLife 2024; 12:RP88733. [PMID: 39133827 PMCID: PMC11318971 DOI: 10.7554/elife.88733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2024] Open
Abstract
Pavlovian fear conditioning research suggests that the interaction between the dorsal periaqueductal gray (dPAG) and basolateral amygdala (BLA) acts as a prediction error mechanism in the formation of associative fear memories. However, their roles in responding to naturalistic predatory threats, characterized by less explicit cues and the absence of reiterative trial-and-error learning events, remain unexplored. In this study, we conducted single-unit recordings in rats during an 'approach food-avoid predator' task, focusing on the responsiveness of dPAG and BLA neurons to a rapidly approaching robot predator. Optogenetic stimulation of the dPAG triggered fleeing behaviors and increased BLA activity in naive rats. Notably, BLA neurons activated by dPAG stimulation displayed immediate responses to the robot, demonstrating heightened synchronous activity compared to BLA neurons that did not respond to dPAG stimulation. Additionally, the use of anterograde and retrograde tracer injections into the dPAG and BLA, respectively, coupled with c-Fos activation in response to predatory threats, indicates that the midline thalamus may play an intermediary role in innate antipredatory-defensive functioning.
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Affiliation(s)
- Eun Joo Kim
- Department of Psychology, University of WashingtonSeattleUnited States
| | - Mi-Seon Kong
- Department of Psychiatry and Behavioral Sciences, University of WashingtonSeattleUnited States
| | - Sanggeon Park
- Department of Brain and Cognitive Sciences, Scranton College, Ewha Womans UniversitySeoulRepublic of Korea
- Brain Disease Research Institute, Ewha Brain Institute, Ewha Womans UniversitySeoulRepublic of Korea
| | - Jeiwon Cho
- Department of Brain and Cognitive Sciences, Scranton College, Ewha Womans UniversitySeoulRepublic of Korea
- Brain Disease Research Institute, Ewha Brain Institute, Ewha Womans UniversitySeoulRepublic of Korea
| | - Jeansok John Kim
- Department of Psychology, University of WashingtonSeattleUnited States
- Program in Neuroscience, University of WashingtonSeattleUnited States
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5
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Blanchard DC, Canteras NS. Uncertainty and anxiety: Evolution and neurobiology. Neurosci Biobehav Rev 2024; 162:105732. [PMID: 38797459 DOI: 10.1016/j.neubiorev.2024.105732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/30/2024] [Accepted: 05/15/2024] [Indexed: 05/29/2024]
Abstract
Anxiety is a complex phenomenon: Its eliciting stimuli and circumstances, component behaviors, and functional consequences are only slowly coming to be understood. Here, we examine defense systems from field studies; laboratory studies focusing on experimental analyses of behavior; and, the fear conditioning literature, with a focus on the role of uncertainty in promoting an anxiety pattern that involves high rates of stimulus generalization and resistance to extinction. Respectively, these different areas provide information on evolved elicitors of defense (field studies); outline a defense system focused on obtaining information about uncertain threat (ethoexperimental analyses); and, provide a simple, well-researched, easily measured paradigm for analysis of nonassociative stress-enhanced fear conditioning (the SEFL). Results suggest that all of these-each of which is responsive to uncertainty-play multiple and interactive roles in anxiety. Brain system findings for some relevant models are reviewed, with suggestions that further analyses of current models may be capable of providing a great deal of additional information about these complex interactions and their underlying biology.
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Affiliation(s)
- D Caroline Blanchard
- Pacific Bioscience Research Institute, University of Hawaii, Manoa, USA; Department of Anatomy, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP 05508-000, Brazil.
| | - Newton S Canteras
- Department of Anatomy, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP 05508-000, Brazil
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Kim EJ, Kong MS, Park S, Cho J, Kim JJ. Periaqueductal gray activates antipredatory neural responses in the amygdala of foraging rats. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.05.19.541463. [PMID: 38559038 PMCID: PMC10979854 DOI: 10.1101/2023.05.19.541463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Pavlovian fear conditioning research suggests that the interaction between the dorsal periaqueductal gray (dPAG) and basolateral amygdala (BLA) acts as a prediction error mechanism in the formation of associative fear memories. However, their roles in responding to naturalistic predatory threats, characterized by less explicit cues and the absence of reiterative trial-and-error learning events, remain unexplored. In this study, we conducted single-unit recordings in rats during an 'approach food-avoid predator' task, focusing on the responsiveness of dPAG and BLA neurons to a rapidly approaching robot predator. Optogenetic stimulation of the dPAG triggered fleeing behaviors and increased BLA activity in naive rats. Notably, BLA neurons activated by dPAG stimulation displayed immediate responses to the robot, demonstrating heightened synchronous activity compared to BLA neurons that did not respond to dPAG stimulation. Additionally, the use of anterograde and retrograde tracer injections into the dPAG and BLA, respectively, coupled with c-Fos activation in response to predatory threats, indicates that the midline thalamus may play an intermediary role in innate antipredatory defensive functioning.
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7
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Reis FMCV, Maesta-Pereira S, Ollivier M, Schuette PJ, Sethi E, Miranda BA, Iniguez E, Chakerian M, Vaughn E, Sehgal M, Nguyen DCT, Yuan FTH, Torossian A, Ikebara JM, Kihara AH, Silva AJ, Kao JC, Khakh BS, Adhikari A. Control of feeding by a bottom-up midbrain-subthalamic pathway. Nat Commun 2024; 15:2111. [PMID: 38454000 PMCID: PMC10920831 DOI: 10.1038/s41467-024-46430-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 02/26/2024] [Indexed: 03/09/2024] Open
Abstract
Investigative exploration and foraging leading to food consumption have vital importance, but are not well-understood. Since GABAergic inputs to the lateral and ventrolateral periaqueductal gray (l/vlPAG) control such behaviors, we dissected the role of vgat-expressing GABAergic l/vlPAG cells in exploration, foraging and hunting. Here, we show that in mice vgat l/vlPAG cells encode approach to food and consumption of both live prey and non-prey foods. The activity of these cells is necessary and sufficient for inducing food-seeking leading to subsequent consumption. Activation of vgat l/vlPAG cells produces exploratory foraging and compulsive eating without altering defensive behaviors. Moreover, l/vlPAG vgat cells are bidirectionally interconnected to several feeding, exploration and investigation nodes, including the zona incerta. Remarkably, the vgat l/vlPAG projection to the zona incerta bidirectionally controls approach towards food leading to consumption. These data indicate the PAG is not only a final downstream target of top-down exploration and foraging-related inputs, but that it also influences these behaviors through a bottom-up pathway.
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Affiliation(s)
- Fernando M C V Reis
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
| | - Sandra Maesta-Pereira
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Matthias Ollivier
- Department of Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Peter J Schuette
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Ekayana Sethi
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Blake A Miranda
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Emily Iniguez
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Meghmik Chakerian
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Eric Vaughn
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Megha Sehgal
- Department of Neurobiology, University of California, Los Angeles, Los Angeles, USA
| | - Darren C T Nguyen
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Faith T H Yuan
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Anita Torossian
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Juliane M Ikebara
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo, SP, 09606-070, Brazil
| | - Alexandre H Kihara
- Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, São Bernardo do Campo, SP, 09606-070, Brazil
| | - Alcino J Silva
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Neurobiology, University of California, Los Angeles, Los Angeles, USA
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, USA
| | - Jonathan C Kao
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Baljit S Khakh
- Department of Physiology, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Avishek Adhikari
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
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Hu G, Chen A, Ye J, Liu Q, Wang J, Fan C, Wang X, Huang M, Dai M, Shi X, Gu Y. A developmental critical period for ocular dominance plasticity of binocular neurons in mouse superior colliculus. Cell Rep 2024; 43:113667. [PMID: 38184852 DOI: 10.1016/j.celrep.2023.113667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 09/29/2023] [Accepted: 12/25/2023] [Indexed: 01/09/2024] Open
Abstract
Detecting visual features in the environment is crucial for animals' survival. The superior colliculus (SC) is implicated in motion detection and processing, whereas how the SC integrates visual inputs from the two eyes remains unclear. Using in vivo electrophysiology, we show that mouse SC contains many binocular neurons that display robust ocular dominance (OD) plasticity in a critical period during early development, which is similar to, but not dependent on, the primary visual cortex. NR2A- and NR2B-containing N-methyl-D-aspartate (NMDA) receptors play an essential role in the regulation of SC plasticity. Blocking NMDA receptors can largely prevent the impairment of predatory hunting caused by monocular deprivation, indicating that maintaining the binocularity of SC neurons is required for efficient hunting behavior. Together, our studies reveal the existence and function of OD plasticity in SC, which broadens our understanding of the development of subcortical visual circuitry relating to motion detection and predatory hunting.
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Affiliation(s)
- Guanglei Hu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China; School of Life Sciences, Westlake University, Hangzhou 310000, China
| | - Ailin Chen
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin Eye Institute, Clinical College of Ophthalmology, Tianjin Medical University, Tianjin 300020, China
| | - Jingjing Ye
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin Eye Institute, Clinical College of Ophthalmology, Tianjin Medical University, Tianjin 300020, China; Medical College of Optometry and Ophthalmology, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Qiong Liu
- School of Life Sciences, Westlake University, Hangzhou 310000, China
| | - Jiafeng Wang
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin Eye Institute, Clinical College of Ophthalmology, Tianjin Medical University, Tianjin 300020, China
| | - Cunxiu Fan
- Jiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 800 Huangjiahuayuan Road, Shanghai 201803, China
| | - Xiaoqing Wang
- Department of Dermatology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Mengqi Huang
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Menghan Dai
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Xuefeng Shi
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science, Tianjin Eye Institute, Clinical College of Ophthalmology, Tianjin Medical University, Tianjin 300020, China; Medical College of Optometry and Ophthalmology, Shandong University of Traditional Chinese Medicine, Jinan 250014, China; Institute of Ophthalmology, Nankai University, Tianjin 300020, China.
| | - Yu Gu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China.
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9
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Melleu FF, Canteras NS. Pathways from the Superior Colliculus to the Basal Ganglia. Curr Neuropharmacol 2024; 22:1431-1453. [PMID: 37702174 PMCID: PMC11097988 DOI: 10.2174/1570159x21666230911102118] [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: 11/30/2022] [Revised: 02/22/2023] [Accepted: 02/26/2023] [Indexed: 09/14/2023] Open
Abstract
The present work aims to review the structural organization of the mammalian superior colliculus (SC), the putative pathways connecting the SC and the basal ganglia, and their role in organizing complex behavioral output. First, we review how the complex intrinsic connections between the SC's laminae projections allow for the construction of spatially aligned, visual-multisensory maps of the surrounding environment. Moreover, we present a summary of the sensory-motor inputs of the SC, including a description of the integration of multi-sensory inputs relevant to behavioral control. We further examine the major descending outputs toward the brainstem and spinal cord. As the central piece of this review, we provide a thorough analysis covering the putative interactions between the SC and the basal ganglia. To this end, we explore the diverse thalamic routes by which information from the SC may reach the striatum, including the pathways through the lateral posterior, parafascicular, and rostral intralaminar thalamic nuclei. We also examine the interactions between the SC and subthalamic nucleus, representing an additional pathway for the tectal modulation of the basal ganglia. Moreover, we discuss how information from the SC might also be relayed to the basal ganglia through midbrain tectonigral and tectotegmental projections directed at the substantia nigra compacta and ventrotegmental area, respectively, influencing the dopaminergic outflow to the dorsal and ventral striatum. We highlight the vast interplay between the SC and the basal ganglia and raise several missing points that warrant being addressed in future studies.
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Affiliation(s)
| | - Newton Sabino Canteras
- Department of Anatomy, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, SP, Brazil
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10
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Zhao ZD, Zhang L, Xiang X, Kim D, Li H, Cao P, Shen WL. Neurocircuitry of Predatory Hunting. Neurosci Bull 2023; 39:817-831. [PMID: 36705845 PMCID: PMC10170020 DOI: 10.1007/s12264-022-01018-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 11/26/2022] [Indexed: 01/28/2023] Open
Abstract
Predatory hunting is an important type of innate behavior evolutionarily conserved across the animal kingdom. It is typically composed of a set of sequential actions, including prey search, pursuit, attack, and consumption. This behavior is subject to control by the nervous system. Early studies used toads as a model to probe the neuroethology of hunting, which led to the proposal of a sensory-triggered release mechanism for hunting actions. More recent studies have used genetically-trackable zebrafish and rodents and have made breakthrough discoveries in the neuroethology and neurocircuits underlying this behavior. Here, we review the sophisticated neurocircuitry involved in hunting and summarize the detailed mechanism for the circuitry to encode various aspects of hunting neuroethology, including sensory processing, sensorimotor transformation, motivation, and sequential encoding of hunting actions. We also discuss the overlapping brain circuits for hunting and feeding and point out the limitations of current studies. We propose that hunting is an ideal behavioral paradigm in which to study the neuroethology of motivated behaviors, which may shed new light on epidemic disorders, including binge-eating, obesity, and obsessive-compulsive disorders.
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Affiliation(s)
- Zheng-Dong Zhao
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China
- Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Li Zhang
- National Institute of Biological Sciences (NIBS), Beijing, 102206, China
| | - Xinkuan Xiang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Daesoo Kim
- Department of Cognitive Brain Science, Korea Advanced Institute of Science & Technology, Daejeon, 34141, South Korea.
| | - Haohong Li
- MOE Frontier Research Center of Brain & Brain-machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, 310058, China.
- Affiliated Mental Health Centre and Hangzhou Seventh People`s Hospital, Zhejiang University School of Medicine, Hangzhou, 310013, China.
| | - Peng Cao
- National Institute of Biological Sciences (NIBS), Beijing, 102206, China.
| | - Wei L Shen
- School of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
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11
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Bindi RP, Guimarães CC, de Oliveira AR, Melleu FF, de Lima MAX, Baldo MVC, Motta SC, Canteras NS. Anatomical and functional study of the cuneiform nucleus: A critical site to organize innate defensive behaviors. Ann N Y Acad Sci 2023; 1521:79-95. [PMID: 36606723 DOI: 10.1111/nyas.14954] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The cuneiform nucleus (CUN) is a midbrain structure located lateral to the caudal part of the periaqueductal gray. In the present investigation, we first performed a systematic analysis of the afferent and efferent projections of the CUN using FluoroGold and Phaseolus vulgaris leucoagglutinin as retrograde and anterograde neuronal tracers, respectively. Next, we examined the behavioral responses to optogenetic activation of the CUN and evaluated the impact of pharmacological inactivation of the CUN in both innate and contextual fear responses to a predatory threat (i.e., a live cat). The present hodologic evidence indicates that the CUN might be viewed as a caudal component of the periaqueductal gray. The CUN has strong bidirectional links with the dorsolateral periaqueductal gray (PAGdl). Our hodological findings revealed that the CUN and PAGdl share a similar source of inputs involved in integrating information related to life-threatening events and that the CUN provides particularly strong projections to brain sites influencing antipredatory defensive behaviors. Our functional studies revealed that the CUN mediates innate freezing and flight antipredatory responses but does not seem to influence the acquisition and expression of learned fear responses.
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Affiliation(s)
- Ricardo P Bindi
- Deptarment of Anatomy, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | | | - Amanda R de Oliveira
- Deptarment of Anatomy, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Fernando F Melleu
- Deptarment of Anatomy, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Miguel A X de Lima
- Deptarment of Anatomy, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Marcus V C Baldo
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Simone C Motta
- Deptarment of Anatomy, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Newton S Canteras
- Deptarment of Anatomy, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
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12
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Groves Kuhnle C, Grimes M, Suárez Casanova VM, Turrigiano GG, Van Hooser SD. Juvenile Shank3 KO Mice Adopt Distinct Hunting Strategies during Prey Capture Learning. eNeuro 2022; 9:ENEURO.0230-22.2022. [PMID: 36446569 PMCID: PMC9768843 DOI: 10.1523/eneuro.0230-22.2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/11/2022] [Accepted: 10/23/2022] [Indexed: 12/02/2022] Open
Abstract
Mice are opportunistic omnivores that readily learn to hunt and eat insects such as crickets. The details of how mice learn these behaviors and how these behaviors may differ in strains with altered neuroplasticity are unclear. We quantified the behavior of juvenile wild-type (WT) and Shank3 knock-out (KO) mice as they learned to hunt crickets during the critical period for ocular dominance plasticity. This stage involves heightened cortical plasticity including homeostatic synaptic scaling, which requires Shank3, a glutamatergic synaptic protein that, when mutated, produces Phelan-McDermid syndrome and is often comorbid with autism spectrum disorder (ASD). Both strains showed interest in examining live and dead crickets and learned to hunt. Shank3 knock-out mice took longer to become proficient, and, after 5 d, did not achieve the efficiency of wild-type mice in either time-to-capture or distance-to-capture. Shank3 knock-out mice also exhibited different characteristics when pursuing crickets that could not be explained by a simple motor deficit. Although both genotypes moved at the same average speed when approaching a cricket, Shank3 KO mice paused more often, did not begin final accelerations toward crickets as early, and did not close the distance gap to the cricket as quickly as wild-type mice. These differences in Shank3 KO mice are reminiscent of some behavioral characteristics of individuals with ASD as they perform complex tasks, such as slower action initiation and completion. This paradigm will be useful for exploring the neural circuit mechanisms that underlie these learning and performance differences in monogenic ASD rodent models.
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Affiliation(s)
| | - Micaela Grimes
- Department of Biology, Brandeis University, Waltham, MA 02453
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13
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Noga BR, Whelan PJ. The Mesencephalic Locomotor Region: Beyond Locomotor Control. Front Neural Circuits 2022; 16:884785. [PMID: 35615623 PMCID: PMC9124768 DOI: 10.3389/fncir.2022.884785] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 04/14/2022] [Indexed: 11/25/2022] Open
Abstract
The mesencephalic locomotor region (MLR) was discovered several decades ago in the cat. It was functionally defined based on the ability of low threshold electrical stimuli within a region comprising the cuneiform and pedunculopontine nucleus to evoke locomotion. Since then, similar regions have been found in diverse vertebrate species, including the lamprey, skate, rodent, pig, monkey, and human. The MLR, while often viewed under the lens of locomotion, is involved in diverse processes involving the autonomic nervous system, respiratory system, and the state-dependent activation of motor systems. This review will discuss the pedunculopontine nucleus and cuneiform nucleus that comprises the MLR and examine their respective connectomes from both an anatomical and functional angle. From a functional perspective, the MLR primes the cardiovascular and respiratory systems before the locomotor activity occurs. Inputs from a variety of higher structures, and direct outputs to the monoaminergic nuclei, allow the MLR to be able to respond appropriately to state-dependent locomotion. These state-dependent effects are roughly divided into escape and exploratory behavior, and the MLR also can reinforce the selection of these locomotor behaviors through projections to adjacent structures such as the periaqueductal gray or to limbic and cortical regions. Findings from the rat, mouse, pig, and cat will be discussed to highlight similarities and differences among diverse species.
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Affiliation(s)
- Brian R. Noga
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, Miller School of Medicine, University of Miami, Miami, FL, United States
- *Correspondence: Brian R. Noga Patrick J. Whelan
| | - Patrick J. Whelan
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Comparative Biology and Experimental Medicine, University of Calgary, Calgary, AB, Canada
- *Correspondence: Brian R. Noga Patrick J. Whelan
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14
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The PV2 cluster of parvalbumin neurons in the murine periaqueductal gray: connections and gene expression. Brain Struct Funct 2022; 227:2049-2072. [PMID: 35486186 PMCID: PMC9232479 DOI: 10.1007/s00429-022-02491-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 04/03/2022] [Indexed: 12/05/2022]
Abstract
The PV2 (Celio 1990), a cluster of parvalbumin-positive neurons located in the ventromedial region of the distal periaqueductal gray (PAG) has not been previously described as its own entity, leading us to study its extent, connections, and gene expression. It is an oval, bilateral, elongated cluster composed of approximately 475 parvalbumin-expressing neurons in a single mouse hemisphere. In its anterior portion it impinges upon the paratrochlear nucleus (Par4) and in its distal portion it is harbored in the posterodorsal raphe nucleus (PDR). It is known to receive inputs from the orbitofrontal cortex and from the parvafox nucleus in the ventrolateral hypothalamus. Using anterograde tracing methods in parvalbumin-Cre mice, the main projections of the PV2 cluster innervate the supraoculomotor periaqueductal gray (Su3) of the PAG, the parvafox nucleus of the lateral hypothalamus, the gemini nuclei of the posterior hypothalamus, the septal regions, and the diagonal band in the forebrain, as well as various nuclei within the reticular formation in the midbrain and brainstem. Within the brainstem, projections were discrete, but involved areas implicated in autonomic control. The PV2 cluster expressed various peptides and receptors, including the receptor for Adcyap1, a peptide secreted by one of its main afferences, namely, the parvafox nucleus. The expression of GAD1 and GAD2 in the region of the PV2, the presence of Vgat-1 in a subpopulation of PV2-neurons as well as the coexistence of GAD67 immunoreactivity with parvalbumin in terminal endings indicates the inhibitory nature of a subpopulation of PV2-neurons. The PV2 cluster may be part of a feedback controlling the activity of the hypothalamic parvafox and the Su3 nuclei in the periaqueductal gray.
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15
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Liu X, Huang H, Snutch TP, Cao P, Wang L, Wang F. The Superior Colliculus: Cell Types, Connectivity, and Behavior. Neurosci Bull 2022; 38:1519-1540. [PMID: 35484472 DOI: 10.1007/s12264-022-00858-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 02/16/2022] [Indexed: 10/18/2022] Open
Abstract
The superior colliculus (SC), one of the most well-characterized midbrain sensorimotor structures where visual, auditory, and somatosensory information are integrated to initiate motor commands, is highly conserved across vertebrate evolution. Moreover, cell-type-specific SC neurons integrate afferent signals within local networks to generate defined output related to innate and cognitive behaviors. This review focuses on the recent progress in understanding of phenotypic diversity amongst SC neurons and their intrinsic circuits and long-projection targets. We further describe relevant neural circuits and specific cell types in relation to behavioral outputs and cognitive functions. The systematic delineation of SC organization, cell types, and neural connections is further put into context across species as these depend upon laminar architecture. Moreover, we focus on SC neural circuitry involving saccadic eye movement, and cognitive and innate behaviors. Overall, the review provides insight into SC functioning and represents a basis for further understanding of the pathology associated with SC dysfunction.
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Affiliation(s)
- Xue Liu
- Shenzhen Key Lab of Neuropsychiatric Modulation, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518055, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hongren Huang
- Shenzhen Key Lab of Neuropsychiatric Modulation, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518055, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Terrance P Snutch
- Michael Smith Laboratories and Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, V6T 1Z4, Canada
| | - Peng Cao
- National Institute of Biological Sciences, Beijing, 100049, China
| | - Liping Wang
- Shenzhen Key Lab of Neuropsychiatric Modulation, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518055, China.
| | - Feng Wang
- Shenzhen Key Lab of Neuropsychiatric Modulation, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, 518055, China.
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16
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Watts AG, Kanoski SE, Sanchez-Watts G, Langhans W. The physiological control of eating: signals, neurons, and networks. Physiol Rev 2022; 102:689-813. [PMID: 34486393 PMCID: PMC8759974 DOI: 10.1152/physrev.00028.2020] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 08/30/2021] [Indexed: 02/07/2023] Open
Abstract
During the past 30 yr, investigating the physiology of eating behaviors has generated a truly vast literature. This is fueled in part by a dramatic increase in obesity and its comorbidities that has coincided with an ever increasing sophistication of genetically based manipulations. These techniques have produced results with a remarkable degree of cell specificity, particularly at the cell signaling level, and have played a lead role in advancing the field. However, putting these findings into a brain-wide context that connects physiological signals and neurons to behavior and somatic physiology requires a thorough consideration of neuronal connections: a field that has also seen an extraordinary technological revolution. Our goal is to present a comprehensive and balanced assessment of how physiological signals associated with energy homeostasis interact at many brain levels to control eating behaviors. A major theme is that these signals engage sets of interacting neural networks throughout the brain that are defined by specific neural connections. We begin by discussing some fundamental concepts, including ones that still engender vigorous debate, that provide the necessary frameworks for understanding how the brain controls meal initiation and termination. These include key word definitions, ATP availability as the pivotal regulated variable in energy homeostasis, neuropeptide signaling, homeostatic and hedonic eating, and meal structure. Within this context, we discuss network models of how key regions in the endbrain (or telencephalon), hypothalamus, hindbrain, medulla, vagus nerve, and spinal cord work together with the gastrointestinal tract to enable the complex motor events that permit animals to eat in diverse situations.
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Affiliation(s)
- Alan G Watts
- The Department of Biological Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California
| | - Scott E Kanoski
- The Department of Biological Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California
| | - Graciela Sanchez-Watts
- The Department of Biological Sciences, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California
| | - Wolfgang Langhans
- Physiology and Behavior Laboratory, Eidgenössische Technische Hochschule-Zürich, Schwerzenbach, Switzerland
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17
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Neural circuit control of innate behaviors. SCIENCE CHINA. LIFE SCIENCES 2022; 65:466-499. [PMID: 34985643 DOI: 10.1007/s11427-021-2043-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/10/2021] [Indexed: 12/17/2022]
Abstract
All animals possess a plethora of innate behaviors that do not require extensive learning and are fundamental for their survival and propagation. With the advent of newly-developed techniques such as viral tracing and optogenetic and chemogenetic tools, recent studies are gradually unraveling neural circuits underlying different innate behaviors. Here, we summarize current development in our understanding of the neural circuits controlling predation, feeding, male-typical mating, and urination, highlighting the role of genetically defined neurons and their connections in sensory triggering, sensory to motor/motivation transformation, motor/motivation encoding during these different behaviors. Along the way, we discuss possible mechanisms underlying binge-eating disorder and the pro-social effects of the neuropeptide oxytocin, elucidating the clinical relevance of studying neural circuits underlying essential innate functions. Finally, we discuss some exciting brain structures recurrently appearing in the regulation of different behaviors, which suggests both divergence and convergence in the neural encoding of specific innate behaviors. Going forward, we emphasize the importance of multi-angle and cross-species dissections in delineating neural circuits that control innate behaviors.
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18
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Solié C, Contestabile A, Espinosa P, Musardo S, Bariselli S, Huber C, Carleton A, Bellone C. Superior Colliculus to VTA pathway controls orienting response and influences social interaction in mice. Nat Commun 2022; 13:817. [PMID: 35145124 PMCID: PMC8831635 DOI: 10.1038/s41467-022-28512-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 01/25/2022] [Indexed: 12/20/2022] Open
Abstract
Social behaviours characterize cooperative, mutualistic, aggressive or parental interactions that occur among conspecifics. Although the Ventral Tegmental Area (VTA) has been identified as a key substrate for social behaviours, the input and output pathways dedicated to specific aspects of conspecific interaction remain understudied. Here, in male mice, we investigated the activity and function of two distinct VTA inputs from superior colliculus (SC-VTA) and medial prefrontal cortex (mPFC-VTA). We observed that SC-VTA neurons display social interaction anticipatory calcium activity, which correlates with orienting responses towards an unfamiliar conspecific. In contrast, mPFC-VTA neuron population activity increases after initiation of the social contact. While protracted phasic stimulation of SC-VTA pathway promotes head/body movements and decreases social interaction, inhibition of this pathway increases social interaction. Here, we found that SC afferents mainly target a subpopulation of dorsolateral striatum (DLS)-projecting VTA dopamine (DA) neurons (VTADA-DLS). While, VTADA-DLS pathway stimulation decreases social interaction, VTADA-Nucleus Accumbens stimulation promotes it. Altogether, these data support a model by which at least two largely anatomically distinct VTA sub-circuits oppositely control distinct aspects of social behaviour. Solié, Contestabile et al. show that the superior colliculus to ventral tegmental area (VTA) pathway encodes orienting behavior toward conspecifics, and modulates VTA dopamine neurons projecting onto dorsolateral striatum perturbing social interaction.
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Affiliation(s)
- Clément Solié
- Department of Basic Neuroscience, University of Geneva, 1 Rue Michel-Servet, 1205, Genève, Switzerland.,Brain Plasticity Unit, CNRS UMR 8249, ESPCI, PSL Research University, Paris, France
| | - Alessandro Contestabile
- Department of Basic Neuroscience, University of Geneva, 1 Rue Michel-Servet, 1205, Genève, Switzerland
| | - Pedro Espinosa
- Department of Basic Neuroscience, University of Geneva, 1 Rue Michel-Servet, 1205, Genève, Switzerland
| | - Stefano Musardo
- Department of Basic Neuroscience, University of Geneva, 1 Rue Michel-Servet, 1205, Genève, Switzerland
| | - Sebastiano Bariselli
- Department of Basic Neuroscience, University of Geneva, 1 Rue Michel-Servet, 1205, Genève, Switzerland
| | - Chieko Huber
- Department of Basic Neuroscience, University of Geneva, 1 Rue Michel-Servet, 1205, Genève, Switzerland
| | - Alan Carleton
- Department of Basic Neuroscience, University of Geneva, 1 Rue Michel-Servet, 1205, Genève, Switzerland
| | - Camilla Bellone
- Department of Basic Neuroscience, University of Geneva, 1 Rue Michel-Servet, 1205, Genève, Switzerland.
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19
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Yu H, Xiang X, Chen Z, Wang X, Dai J, Wang X, Huang P, Zhao ZD, Shen WL, Li H. Periaqueductal gray neurons encode the sequential motor program in hunting behavior of mice. Nat Commun 2021; 12:6523. [PMID: 34764279 PMCID: PMC8586038 DOI: 10.1038/s41467-021-26852-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 10/15/2021] [Indexed: 11/27/2022] Open
Abstract
Sequential encoding of motor programs is essential for behavior generation. However, whether it is critical for instinctive behavior is still largely unknown. Mouse hunting behavior typically contains a sequential motor program, including the prey search, chase, attack, and consumption. Here, we reveal that the neuronal activity in the lateral periaqueductal gray (LPAG) follows a sequential pattern and is time-locked to different hunting actions. Optrode recordings and photoinhibition demonstrate that LPAGVgat neurons are required for the prey detection, chase and attack, while LPAGVglut2 neurons are selectively required for the attack. Ablation of inputs that could trigger hunting, including the central amygdala, the lateral hypothalamus, and the zona incerta, interrupts the activity sequence pattern and substantially impairs hunting actions. Therefore, our findings reveal that periaqueductal gray neuronal ensembles encode the sequential hunting motor program, which might provide a framework for decoding complex instinctive behaviors. Hunting behavior typically contains a sequential motor program, including search, chase, attack, and consumption. Here, the authors show that periaqueductal gray neuronal ensembles encode the sequential hunting motor program, which might provide a framework for decoding complex instinctive behaviors.
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Affiliation(s)
- Hong Yu
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.,MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.,College of Basic Medicine, Hubei University of Medicine, Shiyan, Hubei, 442000, China
| | - Xinkuan Xiang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.,MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Zongming Chen
- School of Life Science and Technology and Shanghai Institute of Advanced Immunochemical Studies, Shanghaitech University, Shanghai, 201210, China
| | - Xu Wang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.,MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Jiaqi Dai
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.,MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Xinxin Wang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.,MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Pengcheng Huang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.,MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Zheng-Dong Zhao
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Wei L Shen
- School of Life Science and Technology and Shanghai Institute of Advanced Immunochemical Studies, Shanghaitech University, Shanghai, 201210, China.
| | - Haohong Li
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China. .,MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China. .,Affiliated Mental Health Centre and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310013, China. .,The MOE Frontier Research Center of Brain & Brain-machine Integration, Zhejiang University School of Brain Science and Brain Medicine, Hangzhou, Zhejiang, 310058, China.
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20
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Superior colliculus projections to target populations in the supraoculomotor area of the macaque monkey. Vis Neurosci 2021; 38. [DOI: 10.1017/s095252382100016x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
A projection by the superior colliculus to the supraoculomotor area (SOA) located dorsal to the oculomotor complex was first described in 1978. This projection’s targets have yet to be identified, although the initial study suggested that vertical gaze motoneuron dendrites might receive this input. Defining the tectal targets is complicated by the fact the SOA contains a number of different cell populations. In the present study, we used anterograde tracers to characterize collicular axonal arbors and retrograde tracers to label prospective SOA target populations in macaque monkeys. Close associations were not found with either superior or medial rectus motoneurons whose axons supply singly innervated muscle fibers. S-group motoneurons, which supply superior rectus multiply innervated muscle fibers, appeared to receive a very minor input, but C-group motoneurons, which supply medial rectus multiply innervated muscle fibers, received no input. A number of labeled boutons were observed in close association with SOA neurons projecting to the spinal cord, or the reticular formation in the pons and medulla. These descending output neurons are presumed to be peptidergic cells within the centrally projecting Edinger–Westphal population. It is possible the collicular input provides a signaling function for neurons in this population that serve roles in either stress responses, or in eating and drinking behavior. Finally, a number of close associations were observed between tectal terminals and levator palpebrae superioris motoneurons, suggesting the possibility that the superior colliculus provides a modest direct input for raising the eyelids during upward saccades.
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21
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Li G, Chen Y, Tang X, Li CSR. Alcohol use severity and the neural correlates of the effects of sleep disturbance on sustained visual attention. J Psychiatr Res 2021; 142:302-311. [PMID: 34416549 PMCID: PMC8429210 DOI: 10.1016/j.jpsychires.2021.08.018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 07/21/2021] [Accepted: 08/15/2021] [Indexed: 01/09/2023]
Abstract
Alcohol misuse is associated with sleep disturbance and cognitive dysfunction. However, the neural processes inter-relating the severity of alcohol use, sleep disturbance and cognitive performance remain under-investigated. We addressed this issue with a dataset of 964 subjects (504 women) curated from the Human Connectome Project. Participants were assessed with the Pittsburgh Sleep Quality Index (PSQI) and fMRI while identifying relational dimension pictures and matching dimension pictures (as a control) in alternating blocks. Imaging data were analyzed with published routines and the results were evaluated at a corrected threshold. Subjects showed lower accuracy rate and longer reaction time (RT) in relational than control blocks. The difference in RT between the two blocks (RTRel-Con) was driven primarily by the RT and correlated positively with performance accuracy of relational trials, suggesting that a more cautious response (i.e., longer RTRel-Con) improved accuracy. The severity of alcohol use, identified from principal component analysis of drinking metrics, was positively correlated with sleep disturbance. Further, whole-brain regression identified activity of the superior colliculus (SC) during relational vs. control blocks in positive and negative correlation with RTRel-Con and PSQI score, respectively. Mediation and path analyses demonstrated a significant model: more severe alcohol use → greater sleep disturbance → diminished SC activity → impaired performance. These findings support the influences of alcohol misuse on sleep and suggest neural correlates that mediate the relationship between sleep disturbance and altered sustained attention in young adults.
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Affiliation(s)
- Guangfei Li
- Department of Biomedical engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China,Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Xiaoying Tang
- Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China.
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT,Department of Neuroscience, Yale University School of Medicine, New Haven, CT,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT,Address correspondence to: C.-S. Ray Li, Connecticut Mental Health Center S112, 34 Park Street, New Haven, CT 06519-1109, U.S.A. Phone: +1 203-974-7354, or Xiaoying Tang, 815-2 Teaching Building No.5, Beijing Institute of technology, 5 South Zhongguancun Road, Haidian District, Beijing 100081, China Phone: +86 010-68915998,
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22
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Woolrych A, Vautrelle N, Reynolds JNJ, Parr-Brownlie LC. Throwing open the doors of perception: The role of dopamine in visual processing. Eur J Neurosci 2021; 54:6135-6146. [PMID: 34340265 DOI: 10.1111/ejn.15408] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 07/05/2021] [Accepted: 07/18/2021] [Indexed: 01/11/2023]
Abstract
Animals form associations between visual cues and behaviours. Although dopamine is known to be critical in many areas of the brain to bind sensory information with appropriate responses, dopamine's role in the visual system is less well understood. Visual signals, which indicate the likely occurrence of a rewarding or aversive stimulus or indicate the context within which such stimuli may arrive, modulate activity in the superior colliculus and alter behaviour. However, such signals primarily originate in cortical and basal ganglia circuits, and evidence of direct signalling from midbrain dopamine neurons to superior colliculus is lacking. Instead, hypothalamic A13 dopamine neurons innervate the superior colliculus, and dopamine receptors are differentially expressed in the superior colliculus, with D1 receptors in superficial layers and D2 receptors in deep layers. However, it remains unknown if A13 dopamine neurons control behaviours through their effect on afferents within the superior colliculus. We propose that A13 dopamine neurons may play a critical role in processing information in the superior colliculus, modifying behavioural responses to visual cues, and propose some testable hypotheses regarding dopamine's effect on visual perception.
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Affiliation(s)
- Alexander Woolrych
- Department of Anatomy, School of Biomedical Sciences, Brain Health Research Centre, University of Otago, Dunedin, New Zealand
| | - Nicolas Vautrelle
- Department of Anatomy, School of Biomedical Sciences, Brain Health Research Centre, University of Otago, Dunedin, New Zealand
| | - John N J Reynolds
- Department of Anatomy, School of Biomedical Sciences, Brain Health Research Centre, University of Otago, Dunedin, New Zealand
| | - Louise C Parr-Brownlie
- Department of Anatomy, School of Biomedical Sciences, Brain Health Research Centre, University of Otago, Dunedin, New Zealand
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23
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Huang M, Li D, Cheng X, Pei Q, Xie Z, Gu H, Zhang X, Chen Z, Liu A, Wang Y, Sun F, Li Y, Zhang J, He M, Xie Y, Zhang F, Qi X, Shang C, Cao P. The tectonigral pathway regulates appetitive locomotion in predatory hunting in mice. Nat Commun 2021; 12:4409. [PMID: 34285209 PMCID: PMC8292483 DOI: 10.1038/s41467-021-24696-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 07/01/2021] [Indexed: 02/06/2023] Open
Abstract
Appetitive locomotion is essential for animals to approach rewards, such as food and prey. The neuronal circuitry controlling appetitive locomotion is unclear. In a goal-directed behavior-predatory hunting, we show an excitatory brain circuit from the superior colliculus (SC) to the substantia nigra pars compacta (SNc) to enhance appetitive locomotion in mice. This tectonigral pathway transmits locomotion-speed signals to dopamine neurons and triggers dopamine release in the dorsal striatum. Synaptic inactivation of this pathway impairs appetitive locomotion but not defensive locomotion. Conversely, activation of this pathway increases the speed and frequency of approach during predatory hunting, an effect that depends on the activities of SNc dopamine neurons. Together, these data reveal that the SC regulates locomotion-speed signals to SNc dopamine neurons to enhance appetitive locomotion in mice.
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Affiliation(s)
- Meizhu Huang
- grid.508040.9Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
| | - Dapeng Li
- grid.24696.3f0000 0004 0369 153XDepartment of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xinyu Cheng
- grid.506261.60000 0001 0706 7839Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China ,grid.410717.40000 0004 0644 5086National Institute of Biological Sciences, Beijing, China
| | - Qing Pei
- grid.410717.40000 0004 0644 5086National Institute of Biological Sciences, Beijing, China
| | - Zhiyong Xie
- grid.410717.40000 0004 0644 5086National Institute of Biological Sciences, Beijing, China
| | - Huating Gu
- grid.410717.40000 0004 0644 5086National Institute of Biological Sciences, Beijing, China
| | - Xuerong Zhang
- grid.410717.40000 0004 0644 5086National Institute of Biological Sciences, Beijing, China
| | - Zijun Chen
- grid.9227.e0000000119573309State Key Laboratory of Brain and Cognitive Sciences, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Aixue Liu
- grid.506261.60000 0001 0706 7839Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China ,grid.410717.40000 0004 0644 5086National Institute of Biological Sciences, Beijing, China
| | - Yi Wang
- grid.9227.e0000000119573309State Key Laboratory of Brain and Cognitive Sciences, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Fangmiao Sun
- grid.11135.370000 0001 2256 9319College of Life Sciences, Peking University, Beijing, China
| | - Yulong Li
- grid.11135.370000 0001 2256 9319College of Life Sciences, Peking University, Beijing, China
| | - Jiayi Zhang
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Miao He
- grid.8547.e0000 0001 0125 2443State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Yuan Xie
- grid.256883.20000 0004 1760 8442Key Laboratory of Neural and Vascular Biology in Ministry of Education, Department of Pharmacology, Hebei Medical University, Shijiazhuang, Hebei China
| | - Fan Zhang
- grid.256883.20000 0004 1760 8442Key Laboratory of Neural and Vascular Biology in Ministry of Education, Department of Pharmacology, Hebei Medical University, Shijiazhuang, Hebei China
| | - Xiangbing Qi
- grid.410717.40000 0004 0644 5086National Institute of Biological Sciences, Beijing, China ,grid.12527.330000 0001 0662 3178Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China
| | - Congping Shang
- grid.508040.9Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
| | - Peng Cao
- grid.410717.40000 0004 0644 5086National Institute of Biological Sciences, Beijing, China ,grid.12527.330000 0001 0662 3178Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing, China
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de Lima MAX, Baldo MVC, Canteras NS. Revealing a Cortical Circuit Responsive to Predatory Threats and Mediating Contextual Fear Memory. Cereb Cortex 2020; 29:3074-3090. [PMID: 30085040 DOI: 10.1093/cercor/bhy173] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 06/27/2018] [Indexed: 01/12/2023] Open
Abstract
The ventral part of the anteromedial thalamic nucleus (AMv) receives substantial inputs from hypothalamic sites that are highly responsive to a live predator or its odor trace and represents an important thalamic hub for conveying predatory threat information to the cerebral cortex. In the present study, we begin by examining the cortico-amygdalar-hippocampal projections of the main AMv cortical targets, namely, the caudal prelimbic, rostral anterior cingulate, and medial visual areas, as well as the rostral part of the ventral retrosplenial area, one of the main targets of the anterior cingulate area. We observed that these areas form a clear cortical network. Next, we revealed that in animals exposed to a live cat, all of the elements of this circuit presented a differential increase in Fos, supporting the idea of a predator threat-responsive cortical network. Finally, we showed that bilateral cytotoxic lesions in each element of this cortical network did not change innate fear responses but drastically reduced contextual conditioning to the predator-associated environment. Overall, the present findings suggest that predator threat has an extensive representation in the cerebral cortex and revealed a cortical network that is responsive to predatory threats and exerts a critical role in processing fear memory.
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Affiliation(s)
| | - Marcus Vinicius C Baldo
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo; São Paulo, SP, Brazil
| | - Newton Sabino Canteras
- Department of Anatomy, Institute of Biomedical Sciences, University of São Paulo; São Paulo, SP, Brazil
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25
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Kim D, Jeong YC, Park C, Shin A, Min KW, Jo S, Kim D. Interactive virtual objects attract attention and induce exploratory behaviours in rats. Behav Brain Res 2020; 392:112737. [PMID: 32504729 DOI: 10.1016/j.bbr.2020.112737] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 05/09/2020] [Accepted: 05/26/2020] [Indexed: 10/24/2022]
Abstract
Animals use visual information to recognize the value of objects and respond with different behaviours, such as evasion or approach. While rodents show defensive behaviour toward an artificial looming stimulus that mimics an approaching avian predator, the visual feature that attracts them to targets with positive value, such as prey, remains unclear. Here, we reveal that rats show curiosity-related behaviours towards a virtual object on screen when it moves interactively with their movements, whereas they show less response to a static object, a regularly moving object, or interactive dislocation of the background. To mimic evading prey, we programmed the object to shrink when touched. Rats preferentially responded to interactive shrinking over interactive enlargement. These results suggest that rats exhibit a selective response to interactive objects. This would seem to be an efficient strategy for finding optimal prey using the evolutionarily conserved prey-predator relationship.
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Affiliation(s)
- Daekyum Kim
- School of Computing, KAIST, Daejeon 34141, Republic of Korea
| | - Yong-Cheol Jeong
- Department of Biological Sciences, KAIST, Daejeon 34141, Republic of Korea
| | - Chanmin Park
- School of Computing, KAIST, Daejeon 34141, Republic of Korea
| | - Anna Shin
- Department of Biological Sciences, KAIST, Daejeon 34141, Republic of Korea
| | - Kyoung Wan Min
- School of Computing, KAIST, Daejeon 34141, Republic of Korea
| | - Sungho Jo
- School of Computing, KAIST, Daejeon 34141, Republic of Korea.
| | - Daesoo Kim
- Department of Biological Sciences, KAIST, Daejeon 34141, Republic of Korea; KAIST Institute of Artificial Intelligence, KAIST, Daejeon 34141, Republic of Korea.
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26
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Duggan O, Narasimham S, Govern EM, Killian O, O'Riordan S, Hutchinson M, Reilly RB. A Study of the Midbrain Network for Covert Attentional Orienting in Cervical Dystonia Patients using Dynamic Causal Modelling. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2019:3519-3522. [PMID: 31946637 DOI: 10.1109/embc.2019.8857152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Understanding the neuronal network dynamics underlying the third most common movement disorder, cervical dystonia, can be achieved using dynamic causal modelling. Current literature establishes structures of the midbrain network for covert attentional orienting as dysfunctional in patients with cervical dystonia. One of these structures is the superior colliculus, for which it is hypothesised that deficient GABAergic activity therein causes cervical dystonia. To understand the role that this node plays in cervical dystonia, various connectivity models of the midbrain network were compared under the influence of a loom-recede visual stimulus fMRI paradigm. These models included the thalamus and striatum, crucial nodes in the direct/indirect pathways for motor movement and inhibition. The parametric empirical Bayes approach was used to quantify the difference in connection strengths across the winning models between patients and controls. Our findings demonstrated greater modulation by a looming stimulus event on the strength of connection from the striatum to the superior colliculus in patients. These results offer new means to understanding the pathophysiology of cervical dystonia.
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27
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Opris I, Dai X, Johnson DMG, Sanchez FJ, Villamil LM, Xie S, Lee-Hauser CR, Chang S, Jordan LM, Noga BR. Activation of Brainstem Neurons During Mesencephalic Locomotor Region-Evoked Locomotion in the Cat. Front Syst Neurosci 2019; 13:69. [PMID: 31798423 PMCID: PMC6868058 DOI: 10.3389/fnsys.2019.00069] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 10/31/2019] [Indexed: 12/26/2022] Open
Abstract
The distribution of locomotor-activated neurons in the brainstem of the cat was studied by c-Fos immunohistochemistry in combination with antibody-based cellular phenotyping following electrical stimulation of the mesencephalic locomotor region (MLR) – the anatomical constituents of which remain debated today, primarily between the cuneiform (CnF) and the pedunculopontine tegmental nuclei (PPT). Effective MLR sites were co-extensive with the CnF nucleus. Animals subject to the locomotor task showed abundant Fos labeling in the CnF, parabrachial nuclei of the subcuneiform region, periaqueductal gray, locus ceruleus (LC)/subceruleus (SubC), Kölliker–Fuse, magnocellular and lateral tegmental fields, raphe, and the parapyramidal region. Labeled neurons were more abundant on the side of stimulation. In some animals, Fos-labeled cells were also observed in the ventral tegmental area, medial and intermediate vestibular nuclei, dorsal motor nucleus of the vagus, n. tractus solitarii, and retrofacial nucleus in the ventrolateral medulla. Many neurons in the reticular formation were innervated by serotonergic fibers. Numerous locomotor-activated neurons in the parabrachial nuclei and LC/SubC/Kölliker–Fuse were noradrenergic. Few cholinergic neurons within the PPT stained for Fos. In the medulla, serotonergic neurons within the parapyramidal region and the nucleus raphe magnus were positive for Fos. Control animals, not subject to locomotion, showed few Fos-labeled neurons in these areas. The current study provides positive evidence for a role for the CnF in the initiation of locomotion while providing little evidence for the participation of the PPT. The results also show that MLR-evoked locomotion involves the parallel activation of reticular and monoaminergic neurons in the pons/medulla, and provides the anatomical and functional basis for spinal monoamine release during evoked locomotion. Lastly, the results indicate that vestibular, cardiovascular, and respiratory centers are centrally activated during MLR-evoked locomotion. Altogether, the results show a complex pattern of neuromodulatory influences of brainstem neurons by electrical activation of the MLR.
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Affiliation(s)
- Ioan Opris
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Xiaohong Dai
- Department of Physiology, Spinal Cord Research Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Dawn M G Johnson
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Francisco J Sanchez
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Luz M Villamil
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Songtao Xie
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Cecelia R Lee-Hauser
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Stephano Chang
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Larry M Jordan
- Department of Physiology, Spinal Cord Research Centre, University of Manitoba, Winnipeg, MB, Canada
| | - Brian R Noga
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
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Sensorimotor maps can be dynamically calibrated using an adaptive-filter model of the cerebellum. PLoS Comput Biol 2019; 15:e1007187. [PMID: 31295248 PMCID: PMC6622474 DOI: 10.1371/journal.pcbi.1007187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 06/16/2019] [Indexed: 11/19/2022] Open
Abstract
Substantial experimental evidence suggests the cerebellum is involved in calibrating sensorimotor maps. Consistent with this involvement is the well-known, but little understood, massive cerebellar projection to maps in the superior colliculus. Map calibration would be a significant new role for the cerebellum given the ubiquity of map representations in the brain, but how it could perform such a task is unclear. Here we investigated a dynamic method for map calibration, based on electrophysiological recordings from the superior colliculus, that used a standard adaptive-filter cerebellar model. The method proved effective for complex distortions of both unimodal and bimodal maps, and also for predictive map-based tracking of moving targets. These results provide the first computational evidence for a novel role for the cerebellum in dynamic sensorimotor map calibration, of potential importance for coordinate alignment during ongoing motor control, and for map calibration in future biomimetic systems. This computational evidence also provides testable experimental predictions concerning the role of the connections between cerebellum and superior colliculus in previously observed dynamic coordinate transformations. The human brain contains a structure known as the cerebellum, which contains a vast number of neurons–around 80% of the total ~90 billion. We believe the cerebellum is involved in learning motor skills, and so is vitally important for accurately controlling the movements of our body, amongst other things. However, like most regions of the brain, we still do not fully understand the role of the cerebellum and evidence for new roles is appearing all the time. One such new role is in the calibration of sensorimotor maps in the brain that link our sensory perception to motor function, such as when a visual stimulus causes a redirect of our gaze. We investigated this problem by connecting a mathematical model of the cerebellar cortical microcircuit to simulated sensory maps in the superior colliculus that are used to control orienting movements. We found the error signal generated by inaccurate orienting movements could be used to accurately calibrate sensorimotor maps, and to allow predictive tracking of moving targets. This finding points to a potentially widespread role for the cerebellum in calibrating the sensorimotor maps that are ubiquitous in the brain and could prove useful in controlling the movements of multi-joint robots.
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Dorsal raphe nucleus 5-Hydroxytryptamine 2A receptors are critical for the organisation of panic attack-like defensive behaviour and unconditioned fear-induced antinociception elicited by the chemical stimulation of superior colliculus neurons. Eur Neuropsychopharmacol 2019; 29:858-870. [PMID: 31227263 DOI: 10.1016/j.euroneuro.2019.05.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 04/04/2019] [Accepted: 05/29/2019] [Indexed: 01/11/2023]
Abstract
Microinjections of N-methyl-d-aspartic acid (NMDA) in the midbrain tectum structures produce panic attack-like defensive behaviours, followed by an antinociceptive response. It has been suggested that fear-related defensive responses organised by brainstem neurons can be modulated by 5-hydroxytryptamine (5-HT). However, there is a shortage of studies showing the role of dorsal raphe nucleus (DRN) 5-HT2A receptors in the modulation of panic-like behaviour and fear-induced antinociception organised by the superior colliculus (SC). The purpose of this study was to investigate the participation of DRN 5-HT2A receptors in the modulation of panic attack-like behaviour and antinociception evoked by intra-SC injections of NMDA. In experiment I, the animals received microinjections of physiological saline or NMDA (6, 9 and 12 nmol) in the deep layers of the SC (dlSC). In experiment II, the most effective dose of NMDA (12 nmol) or vehicle was preceded by microinjections of vehicle or the 5-HT2A receptor selective antagonist R-96544 at different concentrations (0.5, 5 and 10 nM) in the DRN. Both proaversive and antinociceptive effects elicited by intra-dlSC injections of NMDA were attenuated by DRN pretreatment with R-96544. In addition, a morphological analysis showed that 5-HT2A receptors are present in GABAergic interneurons in the DRN. Taken together, these findings suggest that DRN 5-HT2A receptors are critical for the modulation of both panic attack-like defensive behaviour organised by SC neurons and unconditioned fear-induced antinociception. A possible interaction between serotonergic inputs, GABAergic interneurons and serotonergic outputs from the DRN was also considered.
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30
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A subcortical excitatory circuit for sensory-triggered predatory hunting in mice. Nat Neurosci 2019; 22:909-920. [DOI: 10.1038/s41593-019-0405-4] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2018] [Accepted: 03/06/2019] [Indexed: 01/29/2023]
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31
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Zona incerta GABAergic neurons integrate prey-related sensory signals and induce an appetitive drive to promote hunting. Nat Neurosci 2019; 22:921-932. [DOI: 10.1038/s41593-019-0404-5] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Accepted: 04/08/2019] [Indexed: 02/05/2023]
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32
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Evans DA, Stempel AV, Vale R, Branco T. Cognitive Control of Escape Behaviour. Trends Cogn Sci 2019; 23:334-348. [PMID: 30852123 PMCID: PMC6438863 DOI: 10.1016/j.tics.2019.01.012] [Citation(s) in RCA: 103] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 01/24/2019] [Accepted: 01/28/2019] [Indexed: 12/21/2022]
Abstract
When faced with potential predators, animals instinctively decide whether there is a threat they should escape from, and also when, how, and where to take evasive action. While escape is often viewed in classical ethology as an action that is released upon presentation of specific stimuli, successful and adaptive escape behaviour relies on integrating information from sensory systems, stored knowledge, and internal states. From a neuroscience perspective, escape is an incredibly rich model that provides opportunities for investigating processes such as perceptual and value-based decision-making, or action selection, in an ethological setting. We review recent research from laboratory and field studies that explore, at the behavioural and mechanistic levels, how elements from multiple information streams are integrated to generate flexible escape behaviour.
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Affiliation(s)
- Dominic A Evans
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London, UK; These authors contributed equally to this work
| | - A Vanessa Stempel
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London, UK; These authors contributed equally to this work
| | - Ruben Vale
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London, UK; These authors contributed equally to this work
| | - Tiago Branco
- Sainsbury Wellcome Centre for Neural Circuits and Behaviour, UCL, London, UK.
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Abstract
After been exposed to the visual input, in the first year of life, the brain experiences subtle but massive changes apparently crucial for communicative/emotional and social human development. Its lack could be the explanation of the very high prevalence of autism in children with total congenital blindness. The present theory postulates that the superior colliculus is the key structure for such changes for several reasons: it dominates visual behavior during the first months of life; it is ready at birth for complex visual tasks; it has a significant influence on several hemispheric regions; it is the main brain hub that permanently integrates visual and non-visual, external and internal information (bottom-up and top-down respectively); and it owns the enigmatic ability to take non-conscious decisions about where to focus attention. It is also a sentinel that triggers the subcortical mechanisms which drive social motivation to follow faces from birth and to react automatically to emotional stimuli. Through indirect connections it also activates simultaneously several cortical structures necessary to develop social cognition and to accomplish the multiattentional task required for conscious social interaction in real life settings. Genetic or non-genetic prenatal or early postnatal factors could disrupt the SC functions resulting in autism. The timing of postnatal biological disruption matches the timing of clinical autism manifestations. Astonishing coincidences between etiologies, clinical manifestations, cognitive and pathogenic autism theories on one side and SC functions on the other are disclosed in this review. Although the visual system dependent of the SC is usually considered as accessory of the LGN canonical pathway, its imprinting gives the brain a qualitatively specific functions not supplied by any other brain structure.
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Affiliation(s)
- Rubin Jure
- Centro Privado de Neurología y Neuropsicología Infanto Juvenil WERNICKE, Córdoba, Argentina
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34
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Gharaei S, Arabzadeh E, Solomon SG. Integration of visual and whisker signals in rat superior colliculus. Sci Rep 2018; 8:16445. [PMID: 30401871 PMCID: PMC6219574 DOI: 10.1038/s41598-018-34661-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Accepted: 10/16/2018] [Indexed: 12/12/2022] Open
Abstract
Multisensory integration is a process by which signals from different sensory modalities are combined to facilitate detection and localization of external events. One substrate for multisensory integration is the midbrain superior colliculus (SC) which plays an important role in orienting behavior. In rodent SC, visual and somatosensory (whisker) representations are in approximate registration, but whether and how these signals interact is unclear. We measured spiking activity in SC of anesthetized hooded rats, during presentation of visual- and whisker stimuli that were tested simultaneously or in isolation. Visual responses were found in all layers, but were primarily located in superficial layers. Whisker responsive sites were primarily found in intermediate layers. In single- and multi-unit recording sites, spiking activity was usually only sensitive to one modality, when stimuli were presented in isolation. By contrast, we observed robust and primarily suppressive interactions when stimuli were presented simultaneously to both modalities. We conclude that while visual and whisker representations in SC of rat are partially overlapping, there is limited excitatory convergence onto individual sites. Multimodal integration may instead rely on suppressive interactions between modalities.
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Affiliation(s)
- Saba Gharaei
- Discipline of Physiology, School of Medical Sciences, The University of Sydney, Sydney, Australia. .,Eccles Institute of Neuroscience, John Curtin School of Medical Research, The Australian National University, Canberra, Australia. .,Australian Research Council Centre of Excellence for Integrative Brain Function, The Australian National University Node, Canberra, Australia.
| | - Ehsan Arabzadeh
- Eccles Institute of Neuroscience, John Curtin School of Medical Research, The Australian National University, Canberra, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, The Australian National University Node, Canberra, Australia
| | - Samuel G Solomon
- Discipline of Physiology, School of Medical Sciences, The University of Sydney, Sydney, Australia.,Institute of Behavioural Neuroscience, University College London, London, UK
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35
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Pessoa L. Emotion and the Interactive Brain: Insights From Comparative Neuroanatomy and Complex Systems. EMOTION REVIEW 2018; 10:204-216. [PMID: 31537985 PMCID: PMC6752744 DOI: 10.1177/1754073918765675] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Although emotion is closely associated with motivation, and interacts with perception, cognition, and action, many conceptualizations still treat emotion as separate from these domains. Here, a comparative/evolutionary anatomy framework is presented to motivate the idea that long-range, distributed circuits involving the midbrain, thalamus, and forebrain are central to emotional processing. It is proposed that emotion can be understood in terms of large-scale network interactions spanning the neuroaxis that form "functionally integrated systems." At the broadest level, the argument is made that we need to move beyond a Newtonian view of causation to one involving complex systems where bidirectional influences and nonlinearities abound. Therefore, understanding interactions between subsystems and signal integration becomes central to unraveling the organization of the emotional brain.
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Affiliation(s)
- Luiz Pessoa
- Department of Psychology and Maryland Neuroimaging Center, University of Maryland, USA
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36
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Back FP, Carobrez AP. Periaqueductal gray glutamatergic, cannabinoid and vanilloid receptor interplay in defensive behavior and aversive memory formation. Neuropharmacology 2018; 135:399-411. [DOI: 10.1016/j.neuropharm.2018.03.032] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 03/07/2018] [Accepted: 03/23/2018] [Indexed: 11/29/2022]
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37
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Cang J, Savier E, Barchini J, Liu X. Visual Function, Organization, and Development of the Mouse Superior Colliculus. Annu Rev Vis Sci 2018; 4:239-262. [PMID: 29852095 DOI: 10.1146/annurev-vision-091517-034142] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The superior colliculus (SC) is the most prominent visual center in mice. Studies over the past decade have greatly advanced our understanding of the function, organization, and development of the mouse SC, which has rapidly become a popular model in vision research. These studies have described the diverse and cell-type-specific visual response properties in the mouse SC, revealed their laminar and topographic organizations, and linked the mouse SC and downstream pathways with visually guided behaviors. Here, we summarize these findings, compare them with the rich literature of SC studies in other species, and highlight important gaps and exciting future directions. Given its clear importance in mouse vision and the available modern neuroscience tools, the mouse SC holds great promise for understanding the cellular, circuit, and developmental mechanisms that underlie visual processing, sensorimotor transformation, and, ultimately, behavior.
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Affiliation(s)
- Jianhua Cang
- Department of Biology and Department of Psychology, University of Virginia, Charlottesville, Virginia 22904, USA;
| | - Elise Savier
- Department of Biology and Department of Psychology, University of Virginia, Charlottesville, Virginia 22904, USA;
| | - Jad Barchini
- Department of Functional Architecture and Development of Cerebral Cortex, Max Planck Florida Institute for Neuroscience, Jupiter, Florida 33458, USA
| | - Xiaorong Liu
- Department of Biology and Department of Psychology, University of Virginia, Charlottesville, Virginia 22904, USA;
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Almada RC, Genewsky AJ, Heinz DE, Kaplick PM, Coimbra NC, Wotjak CT. Stimulation of the Nigrotectal Pathway at the Level of the Superior Colliculus Reduces Threat Recognition and Causes a Shift From Avoidance to Approach Behavior. Front Neural Circuits 2018; 12:36. [PMID: 29867370 PMCID: PMC5949341 DOI: 10.3389/fncir.2018.00036] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 04/17/2018] [Indexed: 01/14/2023] Open
Abstract
Defensive behavioral responses are essential for survival in threating situations. The superior colliculus (SC) has been implicated in the generation of defensive behaviors elicited by visual, tactile and auditory stimuli. Furthermore, substantia nigra pars reticulata (SNr) neurons are known to exert a modulatory effect on midbrain tectum neural substrates. However, the functional role of this nigrotectal pathway in threating situations is still poorly understood. Using optogenetics in freely behaving mice, we activated SNr projections at the level of the SC, and assessed consequences on behavioral performance in an open field test (OFT) and the beetle mania task (BMT). The latter confronts a mouse with an erratic moving robo-beetle and allows to measure active and passive defensive responses upon frequent encounter of the threatening object. Channelrhodopsin-2 (ChR2)-mediated activation of the inhibitory nigrotectal pathway did not affect anxiety-like and exploratory behavior in the OFT, but increased the number of contacts between robo-beetle and test mouse in the BMT. Depending on the size of the arena, active avoidance responses were reduced, whereas tolerance and close following of the robo-beetle were significantly increased. We conclude from the data that the nigrotectal pathway plays holds the potential to modulate innate fear by attenuating threat recognition and causing a shift from defensive to approach behavior.
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Affiliation(s)
- Rafael C Almada
- Department of Stress Neurobiology and Neurogenetics, Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany.,Laboratory of Neuroanatomy and Neuropsychobiology, Department of Pharmacology, Ribeirão Preto Medical School (FMRP), University of São Paulo (USP), São Paulo, Brazil.,Behavioral Neurosciences Institute (INeC), São Paulo, Brazil
| | - Andreas J Genewsky
- Department of Stress Neurobiology and Neurogenetics, Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
| | - Daniel E Heinz
- Department of Stress Neurobiology and Neurogenetics, Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany.,Neuroscience Master's Program, Interdisciplinary Center for Neurosciences (IZN), Heidelberg University, Heidelberg, Germany
| | - Paul M Kaplick
- Department of Stress Neurobiology and Neurogenetics, Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
| | - Norberto C Coimbra
- Laboratory of Neuroanatomy and Neuropsychobiology, Department of Pharmacology, Ribeirão Preto Medical School (FMRP), University of São Paulo (USP), São Paulo, Brazil.,Behavioral Neurosciences Institute (INeC), São Paulo, Brazil.,NAP-USP-Neurobiology of Emotions Research Center (NuPNE), Ribeirão Preto Medical School (FMRP), University of São Paulo (USP), São Paulo, Brazil
| | - Carsten T Wotjak
- Department of Stress Neurobiology and Neurogenetics, Neuronal Plasticity, Max Planck Institute of Psychiatry, Munich, Germany
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Baldwin MKL, Young NA, Matrov D, Kaas JH. Cortical projections to the superior colliculus in grey squirrels (Sciurus carolinensis). Eur J Neurosci 2018; 49:1008-1023. [PMID: 29450943 DOI: 10.1111/ejn.13867] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 01/11/2018] [Accepted: 02/02/2018] [Indexed: 01/07/2023]
Abstract
The superior colliculus is an important midbrain structure involved with integrating information from varying sensory modalities and sending motor signals to produce orienting movements towards environmental stimuli. Because of this role, the superior colliculus receives a multitude of sensory inputs from a wide variety of subcortical and cortical structures. Proportionately, the superior colliculus of grey squirrels is among the largest in size of all studied mammals, suggesting the importance of this structure in the behavioural characteristics of grey squirrels. Yet, our understanding of the connections of the superior colliculus in grey squirrels is lacking, especially with respect to possible cortical influences. In this study, we placed anatomical tracer injections within the medial aspect of the superior colliculus of five grey squirrels (Sciurus carolinensis) and analysed the areal distribution of corticotectal projecting cells in flattened cortex. V1 projections to the superior colliculus were studied in two additional animals. Our results indicate that the superior colliculus receives cortical projections from visual, higher order somatosensory, and higher order auditory regions, as well as limbic, retrosplenial and anterior cingulate cortex. Few, if any, corticotectal projections originate from primary motor, primary somatosensory or parietal cortical regions. This distribution of inputs is similar to the distribution of inputs described in other rodents such as rats and mice, yet the lack of inputs from primary somatosensory and motor cortex is features of corticotectal inputs more similar to those observed in tree shrews and primates, possibly reflecting a behavioural shift from somatosensory (vibrissae) to visual navigation.
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Affiliation(s)
- Mary K L Baldwin
- Department of Psychology, Vanderbilt University, 301 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37203, USA.,Center for Neuroscience, University of California Davis, Davis, CA, USA
| | - Nicole A Young
- Department of Psychology, Vanderbilt University, 301 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37203, USA.,Department of Neuroscience, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Denis Matrov
- Department of Psychology, Vanderbilt University, 301 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37203, USA.,Department of Neuroscience, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Department of Neuropsychopharmacology, Institute of Psychology, University of Tartu, Tartu, Estonia
| | - Jon H Kaas
- Department of Psychology, Vanderbilt University, 301 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37203, USA
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Functional Organization and Dynamic Activity in the Superior Colliculus of the Echolocating Bat, Eptesicus fuscus. J Neurosci 2018; 38:245-256. [PMID: 29180610 DOI: 10.1523/jneurosci.1775-17.2017] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2017] [Revised: 10/16/2017] [Accepted: 11/03/2017] [Indexed: 12/11/2022] Open
Abstract
Sensory-guided behaviors require the transformation of sensory information into task-specific motor commands. Prior research on sensorimotor integration has emphasized visuomotor processes in the context of simplified orienting movements in controlled laboratory tasks rather than an animal's more complete, natural behavioral repertoire. Here, we conducted a series of neural recording experiments in the midbrain superior colliculus (SC) of echolocating bats engaged in a sonar target-tracking task that invoked dynamic active sensing behaviors. We hypothesized that SC activity in freely behaving animals would reveal dynamic shifts in neural firing patterns within and across sensory, sensorimotor, and premotor layers. We recorded neural activity in the SC of freely echolocating bats (three females and one male) and replicated the general trends reported in other species with sensory responses in the dorsal divisions and premotor activity in ventral divisions of the SC. However, within this coarse functional organization, we discovered that sensory and motor neurons are comingled within layers throughout the volume of the bat SC. In addition, as the bat increased pulse rate adaptively to increase resolution of the target location with closing distance, the activity of sensory and vocal premotor neurons changed such that auditory response times decreased, and vocal premotor lead times shortened. This finding demonstrates that SC activity can be modified dynamically in concert with adaptive behaviors and suggests that an integrated functional organization within SC laminae supports rapid and local integration of sensory and motor signals for natural, adaptive behaviors.SIGNIFICANCE STATEMENT Natural sensory-guided behaviors involve the rapid integration of information from the environment to direct flexible motor actions. The vast majority of research on sensorimotor integration has used artificial stimuli and simplified behaviors, leaving open questions about nervous system function in the context of natural tasks. Our work investigated mechanisms of dynamic sensorimotor feedback control by analyzing patterns of neural activity in the midbrain superior colliculus (SC) of an echolocating bat tracking and intercepting moving prey. Recordings revealed that sensory and motor neurons comingle within laminae of the SC to support rapid sensorimotor integration. Further, we discovered that neural activity in the bat SC changes with dynamic adaptations in the animal's echolocation behavior.
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Disrupted superior collicular activity may reveal cervical dystonia disease pathomechanisms. Sci Rep 2017; 7:16753. [PMID: 29196716 PMCID: PMC5711841 DOI: 10.1038/s41598-017-17074-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 11/21/2017] [Indexed: 11/13/2022] Open
Abstract
Cervical dystonia is a common neurological movement disorder characterised by muscle contractions causing abnormal movements and postures affecting the head and neck. The neural networks underpinning this condition are incompletely understood. While animal models suggest a role for the superior colliculus in its pathophysiology, this link has yet to be established in humans. The present experiment was designed to test the hypothesis that disrupted superior collicular processing is evident in affected patients and in relatives harbouring a disease-specific endophenotype (abnormal temporal discrimination). The study participants were 16 cervical dystonia patients, 16 unaffected first-degree relatives with abnormal temporal discrimination, 16 unaffected first-degree relatives with normal temporal discrimination and 16 healthy controls. The response of participant’s superior colliculi to looming stimuli was assessed by functional magnetic resonance imaging. Cervical dystonia patients and relatives with abnormal temporal discrimination demonstrated (i) significantly reduced superior collicular activation for whole brain and region of interest analysis; (ii) a statistically significant negative correlation between temporal discrimination threshold and superior collicular peak values. Our results support the hypothesis that disrupted superior collicular processing is involved in the pathogenesis of cervical dystonia. These findings, which align with animal models of cervical dystonia, shed new light on pathomechanisms in humans.
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42
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Motta SC, Carobrez AP, Canteras NS. The periaqueductal gray and primal emotional processing critical to influence complex defensive responses, fear learning and reward seeking. Neurosci Biobehav Rev 2017; 76:39-47. [DOI: 10.1016/j.neubiorev.2016.10.012] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Revised: 09/26/2016] [Accepted: 10/13/2016] [Indexed: 12/22/2022]
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Wang N, Perkins E, Zhou L, Warren S, May PJ. Reticular Formation Connections Underlying Horizontal Gaze: The Central Mesencephalic Reticular Formation (cMRF) as a Conduit for the Collicular Saccade Signal. Front Neuroanat 2017; 11:36. [PMID: 28487639 PMCID: PMC5403835 DOI: 10.3389/fnana.2017.00036] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 04/05/2017] [Indexed: 11/26/2022] Open
Abstract
The central mesencephalic reticular formation (cMRF) occupies much of the core of the midbrain tegmentum. Physiological studies indicate that it is involved in controlling gaze changes, particularly horizontal saccades. Anatomically, it receives input from the ipsilateral superior colliculus (SC) and it has downstream projections to the brainstem, including the horizontal gaze center located in the paramedian pontine reticular formation (PPRF). Consequently, it has been hypothesized that the cMRF plays a role in the spatiotemporal transformation needed to convert spatially coded collicular saccade signals into the temporally coded signals utilized by the premotor neurons of the horizontal gaze center. In this study, we used neuroanatomical tracers to examine the patterns of connectivity of the cMRF in macaque monkeys in order to determine whether the circuit organization supports this hypothesis. Since stimulation of the cMRF produces contraversive horizontal saccades and stimulation of the horizontal gaze center produces ipsiversive saccades, this would require an excitatory cMRF projection to the contralateral PPRF. Injections of anterograde tracers into the cMRF did produce labeled terminals within the PPRF. However, the terminations were denser ipsilaterally. Since the PPRF located contralateral to the movement direction is generally considered to be silent during a horizontal saccade, we then tested the hypothesis that this ipsilateral reticuloreticular pathway might be inhibitory. The ultrastructure of ipsilateral terminals was heterogeneous, with some displaying more extensive postsynaptic densities than others. Postembedding immunohistochemistry for gamma-aminobutyric acid (GABA) indicated that only a portion (35%) of these cMRF terminals are GABAergic. Dual tracer experiments were undertaken to determine whether the SC provides input to cMRF reticuloreticular neurons projecting to the ipsilateral pons. Retrogradely labeled reticuloreticular neurons were predominantly distributed in the ipsilateral cMRF. Anterogradely labeled tectal terminals were observed in close association with a portion of these retrogradely labeled reticuloreticular neurons. Taken together, these results suggest that the SC does have connections with reticuloreticular neurons in the cMRF. However, the predominantly excitatory nature of the ipsilateral reticuloreticular projection argues against the hypothesis that this cMRF pathway is solely responsible for producing a spatiotemporal transformation of the collicular saccade signal.
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Affiliation(s)
- Niping Wang
- Department of Neurobiology and Anatomical Sciences, University of Mississippi Medical CenterJackson, MS, USA.,Department of Periodontics and Preventive Sciences, University of Mississippi Medical CenterJackson, MS, USA
| | - Eddie Perkins
- Department of Neurobiology and Anatomical Sciences, University of Mississippi Medical CenterJackson, MS, USA.,Department of Neurosurgery, University of Mississippi Medical CenterJackson, MS, USA
| | - Lan Zhou
- Department of Internal Medicine, G.V. Montgomery Veterans Administration Medical CenterJackson, MS, USA
| | - Susan Warren
- Department of Neurobiology and Anatomical Sciences, University of Mississippi Medical CenterJackson, MS, USA
| | - Paul J May
- Department of Neurobiology and Anatomical Sciences, University of Mississippi Medical CenterJackson, MS, USA.,Department of Neurology, University of Mississippi Medical CenterJackson, MS, USA.,Department of Ophthalmology, University of Mississippi Medical CenterJackson, MS, USA
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44
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Savage MA, McQuade R, Thiele A. Segregated fronto-cortical and midbrain connections in the mouse and their relation to approach and avoidance orienting behaviors. J Comp Neurol 2017; 525:1980-1999. [PMID: 28177526 PMCID: PMC5396297 DOI: 10.1002/cne.24186] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Revised: 01/11/2017] [Accepted: 01/11/2017] [Indexed: 12/15/2022]
Abstract
The orchestration of orienting behaviors requires the interaction of many cortical and subcortical areas, for example the superior colliculus (SC), as well as prefrontal areas responsible for top–down control. Orienting involves different behaviors, such as approach and avoidance. In the rat, these behaviors are at least partially mapped onto different SC subdomains, the lateral (SCl) and medial (SCm), respectively. To delineate the circuitry involved in the two types of orienting behavior in mice, we injected retrograde tracer into the intermediate and deep layers of the SCm and SCl, and thereby determined the main input structures to these subdomains. Overall the SCm receives larger numbers of afferents compared to the SCl. The prefrontal cingulate area (Cg), visual, oculomotor, and auditory areas provide strong input to the SCm, while prefrontal motor area 2 (M2), and somatosensory areas provide strong input to the SCl. The prefrontal areas Cg and M2 in turn connect to different cortical and subcortical areas, as determined by anterograde tract tracing. Even though connectivity pattern often overlap, our labeling approaches identified segregated neural circuits involving SCm, Cg, secondary visual cortices, auditory areas, and the dysgranular retrospenial cortex likely to be involved in avoidance behaviors. Conversely, SCl, M2, somatosensory cortex, and the granular retrospenial cortex comprise a network likely involved in approach/appetitive behaviors.
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Affiliation(s)
- Michael Anthony Savage
- Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, Tyne and Wear, NE2 4HH, United Kingdom
| | - Richard McQuade
- Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, Tyne and Wear, NE2 4HH, United Kingdom
| | - Alexander Thiele
- Institute of Neuroscience, Newcastle University, Newcastle Upon Tyne, Tyne and Wear, NE2 4HH, United Kingdom
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45
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Melleu FF, Lino-de-Oliveira C, Marino-Neto J. The mesencephalic GCt-ICo complex and tonic immobility in pigeons (Columba livia): a c-Fos study. Brain Struct Funct 2016; 222:1253-1265. [PMID: 27447458 DOI: 10.1007/s00429-016-1275-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 07/14/2016] [Indexed: 01/09/2023]
Abstract
Tonic immobility (TI) is a response to a predator attack, or other inescapable danger, characterized by immobility, analgesia and unresponsiveness to external stimuli. In mammals, the periaqueductal gray (PAG) and deep tectal regions control the expression of TI as well as other defensive behaviors. In birds, little is known about the mesencephalic circuitry involved in the control of TI. Here, adult pigeons (both sex, n = 4/group), randomly assigned to non-handled, handled or TI groups, were killed 90 min after manipulations and the brains processed for detection of c-Fos immunoreactive cells (c-Fos-ir, marker for neural activity) in the mesencephalic central gray (GCt) and the adjacent nucleus intercollicularis (ICo). The NADPH-diaphorase staining delineated the boundaries of the sub nuclei in the ICo-GCt complex. Compared to non-handled, TI (but not handling) induced c-Fos-ir in NADPH-diaphorase-rich and -poor regions. After TI, the number of c-Fos-ir increased in the caudal and intermediate areas of the ICo (but not in the GCt), throughout the rostrocaudal axis of the dorsal stratum griseum periventriculare (SGPd) of the optic tectum and in the n. mesencephalicus lateralis pars dorsalis (MLd), which is part of the ascending auditory pathway. These data suggest that inescapable threatening stimuli such as TI may recruit neurons in discrete areas of ICo-GCt complex, deep tectal layer and in ascending auditory circuits that may control the expression of defensive behaviors in pigeons. Additionally, data indicate that the contiguous deep tectal SCPd (but not GCt) in birds may be functionally comparable to the mammalian dorsal PAG.
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Affiliation(s)
- Fernando Falkenburger Melleu
- Department of Physiological Sciences, CCB, Federal University of Santa Catarina, Florianópolis, SC, 88040-900, Brazil.
| | - C Lino-de-Oliveira
- Department of Physiological Sciences, CCB, Federal University of Santa Catarina, Florianópolis, SC, 88040-900, Brazil
| | - J Marino-Neto
- Department of Physiological Sciences, CCB, Federal University of Santa Catarina, Florianópolis, SC, 88040-900, Brazil
- Institute of Biomedical Engineering, EEL-CTC, Federal University of Santa Catarina, Florianópolis, SC, 88040-900, Brazil
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46
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Bilella A, Alvarez-Bolado G, Celio MR. TheFoxb1-expressing neurons of the ventrolateral hypothalamic parvafox nucleus project to defensive circuits. J Comp Neurol 2016; 524:2955-81. [DOI: 10.1002/cne.24057] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Revised: 03/03/2016] [Accepted: 06/09/2016] [Indexed: 02/04/2023]
Affiliation(s)
- Alessandro Bilella
- Anatomy Unit and Program in Neuroscience, Department of Medicine, Faculty of Sciences, University of Fribourg; CH-1700 Fribourg Switzerland
| | - Gonzalo Alvarez-Bolado
- Institute of Anatomy and Cell Biology, University of Heidelberg; 69120 Heidelberg Germany
| | - Marco R. Celio
- Anatomy Unit and Program in Neuroscience, Department of Medicine, Faculty of Sciences, University of Fribourg; CH-1700 Fribourg Switzerland
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47
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Chen S, Zhou H, Guo S, Zhang J, Qu Y, Feng Z, Xu K, Zheng X. Optogenetics Based Rat-Robot Control: Optical Stimulation Encodes "Stop" and "Escape" Commands. Ann Biomed Eng 2015; 43:1851-64. [PMID: 25567506 DOI: 10.1007/s10439-014-1235-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2014] [Accepted: 12/19/2014] [Indexed: 12/15/2022]
Abstract
Electric brain stimulation is frequently used in bio-robot control. However, one possible limitation of electric stimulation is the resultant wide range of influences that may lead to unexpected side-effects. Although there has been prior research done towards optogenetics based brain activation, there has not been much development regarding the comparisons between electric and optical methods of brain activation. In this study, we first encode "Stop" and "Escape" commands by optical stimulation in the dorsal periaqueductal grey (dPAG). The rats behavioral comparisons are then noted down under these two methods. The dPAG neural activity recorded during optical stimulation suggests rate and temporal coding mechanisms in behavioral control. The behavioral comparisons show that rats exhibit anxiety under the "Stop" command conveyed through both optical and electric methods. However, rats are able to recover more quickly from freezing only under optical "Stop" command. Under "Escape" commands, also conveyed through optical means, the rat would move with lessened urgency but the results are more stable. Moreover, c-Fos study shows the optical stimulation activates restricted range in midbrain: the optical stimulation affected only dPAG and its downstreams but electric stimulation activates both the upstream and downstream circuits, in which the glutamatergic neurons are largely occupied and play important role in "Stop" and "Escape" behavior controls. We conclude that optical stimulation is more suited for encoding "Stop" and "Escape" commands for rat-robot control.
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Affiliation(s)
- SiCong Chen
- Department of Biomedical Engineering, Key Laboratory of Ministry of Education, Zhejiang University, Hangzhou, 310027, People's Republic of China
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48
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Periaqueductal gray μ and κ opioid receptors determine behavioral selection from maternal to predatory behavior in lactating rats. Behav Brain Res 2014; 274:62-72. [DOI: 10.1016/j.bbr.2014.08.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2014] [Revised: 07/21/2014] [Accepted: 08/04/2014] [Indexed: 11/24/2022]
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49
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Kinsley CH, Blair JC, Karp NE, Hester NW, McNamara IM, Orthmeyer AL, McSweeney MC, Bardi MM, Karelina K, Christon LM, Sirkin MR, Victoria LW, Skurka DJ, Fyfe CR, Hudepohl MB, Felicio LF, Franssen RA, Meyer EEA, da Silva IS, Lambert KG. The mother as hunter: significant reduction in foraging costs through enhancements of predation in maternal rats. Horm Behav 2014; 66:649-54. [PMID: 25240277 DOI: 10.1016/j.yhbeh.2014.09.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Revised: 09/01/2014] [Accepted: 09/09/2014] [Indexed: 11/22/2022]
Abstract
In previous laboratory investigations, we have identified enhanced cognition and reduced stress in parous rats, which are likely adaptations in mothers needing to efficiently exploit resources to maintain, protect and provision their immature offspring. Here, in a series of seven behavioral tests on rats, we examined a natural interface between cognition and resource gathering: predation. Experiment 1 compared predatory behavior (toward crickets) in age-matched nulliparous mothers (NULLs) and postpartum lactating mothers (LACTs), revealing a highly significant enhancement of predation in LACT females (mean = -65s in LACTs, vs. -270s in NULLs). Experiment 2 examined the possibility that LACTs, given their increased metabolic rate, were hungrier, and thus more motivated to hunt; doubling the length of time of food deprivation in NULLs did not decrease their predatory latencies. Experiments 3-5, which examined sensory regulation of the effect, indicated that olfaction (anosmia), audition (blockade with white noise), and somatosensation (trimming the vibrissae) appear to play little role in the behavioral enhancement observed in the LACTs; Experiment 6 examined the possibility that visual augmentations may facilitate the improvements in predation; testing LACTs in a 0-lux environment eliminated the behavioral advantage (increasing their latencies from -65s to -212s), which suggests that temporary augmentation to the visual system may be important, and with hormone-neural alterations therein a likely candidate for further study. In contrast, testing NULLS in the 0-lux environment had the opposite effect, reducing their latency to catch the cricket (from -270s to -200s). Finally, Experiment 7 examined the development of predatory behavior in Early-pregnant (PREG), Mid-PREG, and Late-PREG females. Here, we observed a significant enhancement of predation in Mid-PREG and Late-PREG females--at a time when maternity-associated bodily changes would be expected to diminish predation ability--relative to NULLs. Therefore, as with the increasing reports of enhancements to the maternal brain, it is apparent that meaningful behavioral adaptations occur that likewise promote the survival of the mother and her infants at a crucial stage of their lives.
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Affiliation(s)
- Craig Howard Kinsley
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA.
| | - Jamie C Blair
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Natalie E Karp
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Naomi W Hester
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Ilan M McNamara
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Angela L Orthmeyer
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Molly C McSweeney
- Department of Psychology, Dickinson College, Carlisle, PA 17013, USA
| | - Massimo M Bardi
- Department of Psychology, Randolph-Macon College, Ashland, Virginia 23005, USA
| | - Kate Karelina
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Lillian M Christon
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Maxwell R Sirkin
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Lindsay W Victoria
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Danielle J Skurka
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Christian R Fyfe
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Margaret B Hudepohl
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Luciano F Felicio
- Department of Pathology, School of Veterinary Medicine, University of Sao Paulo, Brazil
| | - R Adam Franssen
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Elizabeth E A Meyer
- Department of Psychology, Center for Neuroscience, University of Richmond, Richmond, VA 23173, USA
| | - Ilton S da Silva
- Department of Pathology, School of Veterinary Medicine, University of Sao Paulo, Brazil
| | - Kelly G Lambert
- Department of Psychology, Randolph-Macon College, Ashland, Virginia 23005, USA
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50
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Veronesi C, Maggiolini E, Franchi G. Whisker motor cortex reorganization after superior colliculus output suppression in adult rats. Eur J Neurosci 2013; 38:3169-80. [PMID: 23895333 DOI: 10.1111/ejn.12322] [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: 05/13/2009] [Revised: 07/29/2009] [Accepted: 06/25/2013] [Indexed: 11/30/2022]
Abstract
The effect of unilateral superior colliculus (SC) output suppression on the ipsilateral whisker motor cortex (WMC) was studied at different time points after tetrodotoxin and quinolinic acid injections, in adult rats. The WMC output was assessed by mapping the movement evoked by intracortical microstimulation (ICMS) and by recording the ICMS-evoked electromyographic (EMG) responses from contralateral whisker muscles. At 1 h after SC injections, the WMC showed: (i) a strong decrease in contralateral whisker sites, (ii) a strong increase in ipsilateral whisker sites and in ineffective sites, and (iii) a strong increase in threshold current values. At 6 h after injections, the WMC size had shrunk to 60% of the control value and forelimb representation had expanded into the lateral part of the normal WMC. Thereafter, the size of the WMC recovered, returning to nearly normal 12 h later (94% of control) and persisted unchanged over time (1-3 weeks). The ICMS-evoked EMG response area decreased at 1 h after SC lesion and had recovered its baseline value 12 h later. Conversely, the latency of ICMS-evoked EMG responses had increased by 1 h and continued to increase for as long as 3 weeks following the lesion. These findings provide physiological evidence that SC output suppression persistently withdrew the direct excitatory drive from whisker motoneurons and induced changes in the WMC. We suggest that the changes in the WMC are a form of reversible short-term reorganization that is induced by SC lesion. The persistent latency increase in the ICMS-evoked EMG response suggested that the recovery of basic WMC excitability did not take place with the recovery of normal explorative behaviour.
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Affiliation(s)
- Carlo Veronesi
- Department of Biomedical and Specialty Surgical Sciences, Section of Human Physiology, University of Ferrara, via Fossato di Mortara 19, Ferrara, 44100, Italy
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