1
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Cullen KE. Internal models of self-motion: neural computations by the vestibular cerebellum. Trends Neurosci 2023; 46:986-1002. [PMID: 37739815 PMCID: PMC10591839 DOI: 10.1016/j.tins.2023.08.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 07/15/2023] [Accepted: 08/25/2023] [Indexed: 09/24/2023]
Abstract
The vestibular cerebellum plays an essential role in maintaining our balance and ensuring perceptual stability during activities of daily living. Here I examine three key regions of the vestibular cerebellum: the floccular lobe, anterior vermis (lobules I-V), and nodulus and ventral uvula (lobules X-IX of the posterior vermis). These cerebellar regions encode vestibular information and combine it with extravestibular signals to create internal models of eye, head, and body movements, as well as their spatial orientation with respect to gravity. To account for changes in the external environment and/or biomechanics during self-motion, the neural mechanisms underlying these computations are continually updated to ensure accurate motor behavior. To date, studies on the vestibular cerebellum have predominately focused on passive vestibular stimulation, whereas in actuality most stimulation is the result of voluntary movement. Accordingly, I also consider recent research exploring these computations during active self-motion and emerging evidence establishing the cerebellum's role in building predictive models of self-generated movement.
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Affiliation(s)
- Kathleen E Cullen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Department of Otolaryngology - Head and Neck Surgery, Johns Hopkins University, Baltimore, MD 21205, USA; Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA.
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2
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Keshavarzi S, Velez-Fort M, Margrie TW. Cortical Integration of Vestibular and Visual Cues for Navigation, Visual Processing, and Perception. Annu Rev Neurosci 2023; 46:301-320. [PMID: 37428601 PMCID: PMC7616138 DOI: 10.1146/annurev-neuro-120722-100503] [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] [Indexed: 07/12/2023]
Abstract
Despite increasing evidence of its involvement in several key functions of the cerebral cortex, the vestibular sense rarely enters our consciousness. Indeed, the extent to which these internal signals are incorporated within cortical sensory representation and how they might be relied upon for sensory-driven decision-making, during, for example, spatial navigation, is yet to be understood. Recent novel experimental approaches in rodents have probed both the physiological and behavioral significance of vestibular signals and indicate that their widespread integration with vision improves both the cortical representation and perceptual accuracy of self-motion and orientation. Here, we summarize these recent findings with a focus on cortical circuits involved in visual perception and spatial navigation and highlight the major remaining knowledge gaps. We suggest that vestibulo-visual integration reflects a process of constant updating regarding the status of self-motion, and access to such information by the cortex is used for sensory perception and predictions that may be implemented for rapid, navigation-related decision-making.
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Affiliation(s)
- Sepiedeh Keshavarzi
- The Sainsbury Wellcome Centre for Neural Circuits and Behavior, University College London, London, United Kingdom;
| | - Mateo Velez-Fort
- The Sainsbury Wellcome Centre for Neural Circuits and Behavior, University College London, London, United Kingdom;
| | - Troy W Margrie
- The Sainsbury Wellcome Centre for Neural Circuits and Behavior, University College London, London, United Kingdom;
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3
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The cerebellum promotes sequential foraging strategies and contributes to the directional modulation of hippocampal place cells. iScience 2023; 26:106200. [PMID: 36922992 PMCID: PMC10009096 DOI: 10.1016/j.isci.2023.106200] [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: 07/22/2022] [Revised: 10/14/2022] [Accepted: 02/10/2023] [Indexed: 02/17/2023] Open
Abstract
The cerebellum contributes to goal-directed navigation abilities and place coding in the hippocampus. Here we investigated its contribution to foraging strategies. We recorded hippocampal neurons in mice with impaired PKC-dependent cerebellar functions (L7-PKCI) and in their littermate controls while they performed a task where they were rewarded for visiting a subset of hidden locations. We found that L7-PKCI and control mice developed different foraging strategies: while control mice repeated spatial sequences to maximize their rewards, L7-PKCI mice persisted to use a random foraging strategy. Sequential foraging was associated with more place cells exhibiting theta-phase precession and theta rate modulation. Recording in the dark showed that PKC-dependent cerebellar functions controlled how self-motion cues contribute to the selectivity of place cells to both position and direction. Thus, the cerebellum contributes to the development of optimal sequential paths during foraging, possibly by controlling how self-motion and theta signals contribute to place cell coding.
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4
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Fallahnezhad M, Le Mero J, Zenelaj X, Vincent J, Rochefort C, Rondi-Reig L. Cerebellar control of a unitary head direction sense. Proc Natl Acad Sci U S A 2023; 120:e2214539120. [PMID: 36812198 PMCID: PMC9992783 DOI: 10.1073/pnas.2214539120] [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: 08/24/2022] [Accepted: 01/17/2023] [Indexed: 02/24/2023] Open
Abstract
The head-direction (HD) system, a key neural circuit for navigation, consists of several anatomical structures containing neurons selective to the animal's head direction. HD cells exhibit ubiquitous temporal coordination across brain regions, independently of the animal's behavioral state or sensory inputs. Such temporal coordination mediates a single, stable, and persistent HD signal, which is essential for intact orientation. However, the mechanistic processes behind the temporal organization of HD cells are unknown. By manipulating the cerebellum, we identify pairs of HD cells recorded from two brain structures (anterodorsal thalamus and retrosplenial cortex) that lose their temporal coordination, specifically during the removal of the external sensory inputs. Further, we identify distinct cerebellar mechanisms that participate in the spatial stability of the HD signal depending on sensory signals. We show that while cerebellar protein phosphatase 2B-dependent mechanisms facilitate the anchoring of the HD signal on the external cues, the cerebellar protein kinase C-dependent mechanisms are required for the stability of the HD signal by self-motion cues. These results indicate that the cerebellum contributes to the preservation of a single and stable sense of direction.
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Affiliation(s)
- Mehdi Fallahnezhad
- Sorbonne Université, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médical, Institut de Biologie Paris Seine, Neurosciences Paris Seine, Cerebellum, Navigation and Memory Team, 75005Paris, France
- Inovarion, 75005Paris, France
| | - Julia Le Mero
- Sorbonne Université, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médical, Institut de Biologie Paris Seine, Neurosciences Paris Seine, Cerebellum, Navigation and Memory Team, 75005Paris, France
| | - Xhensjana Zenelaj
- Sorbonne Université, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médical, Institut de Biologie Paris Seine, Neurosciences Paris Seine, Cerebellum, Navigation and Memory Team, 75005Paris, France
| | - Jean Vincent
- Sorbonne Université, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médical, Institut de Biologie Paris Seine, Neurosciences Paris Seine, Cerebellum, Navigation and Memory Team, 75005Paris, France
| | - Christelle Rochefort
- Sorbonne Université, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médical, Institut de Biologie Paris Seine, Neurosciences Paris Seine, Cerebellum, Navigation and Memory Team, 75005Paris, France
| | - Laure Rondi-Reig
- Sorbonne Université, Centre National de la Recherche Scientifique, Institut National de la Santé et de la Recherche Médical, Institut de Biologie Paris Seine, Neurosciences Paris Seine, Cerebellum, Navigation and Memory Team, 75005Paris, France
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5
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Lyu C, Yu C, Sun G, Zhao Y, Cai R, Sun H, Wang X, Jia G, Fan L, Chen X, Zhou L, Shen Y, Gao L, Li X. Deconstruction of Vermal Cerebellum in Ramp Locomotion in Mice. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 10:e2203665. [PMID: 36373709 PMCID: PMC9811470 DOI: 10.1002/advs.202203665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 10/20/2022] [Indexed: 06/16/2023]
Abstract
The cerebellum is involved in encoding balance, posture, speed, and gravity during locomotion. However, most studies are carried out on flat surfaces, and little is known about cerebellar activity during free ambulation on slopes. Here, it has been imaged the neuronal activity of cerebellar molecular interneurons (MLIs) and Purkinje cells (PCs) using a miniaturized microscope while a mouse is walking on a slope. It has been found that the neuronal activity of vermal MLIs specifically enhanced during uphill and downhill locomotion. In addition, a subset of MLIs is activated during entire uphill or downhill positions on the slope and is modulated by the slope inclines. In contrast, PCs showed counter-balanced neuronal activity to MLIs, which reduced activity at the ramp peak. So, PCs may represent the ramp environment at the population level. In addition, chemogenetic inactivation of lobule V of the vermis impaired uphill locomotion. These results revealed a novel micro-circuit in the vermal cerebellum that regulates ambulatory behavior in 3D terrains.
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Affiliation(s)
- Chenfei Lyu
- Department of Neurology of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and TechnologyZhejiang University School of MedicineHangzhou310027China
| | - Chencen Yu
- Department of Neurology of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and TechnologyZhejiang University School of MedicineHangzhou310027China
| | - Guanglong Sun
- Department of Neurology of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and TechnologyZhejiang University School of MedicineHangzhou310027China
| | - Yue Zhao
- Department of Physiology and Department of PsychiatrySir Run Run Shaw HospitalZhejiang University School of MedicineHangzhou310058China
| | - Ruolan Cai
- Department of Neurology of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and TechnologyZhejiang University School of MedicineHangzhou310027China
| | - Hao Sun
- Department of Neurology of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and TechnologyZhejiang University School of MedicineHangzhou310027China
- Key Laboratory for Biomedical Engineering of Ministry of EducationCollege of Biomedical Engineering and Instrument Science, Zhejiang UniversityHangzhou310027China
| | - Xintai Wang
- Department of Physiology and Department of PsychiatrySir Run Run Shaw HospitalZhejiang University School of MedicineHangzhou310058China
| | - Guoqiang Jia
- Department of Neurology of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and TechnologyZhejiang University School of MedicineHangzhou310027China
| | - Lingzhu Fan
- Department of Neurology of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and TechnologyZhejiang University School of MedicineHangzhou310027China
| | - Xi Chen
- Department of NeuroscienceCity University of Hong KongKowloonHong KongChina
| | - Lin Zhou
- Department of Physiology and Department of PsychiatrySir Run Run Shaw HospitalZhejiang University School of MedicineHangzhou310058China
| | - Ying Shen
- Department of Physiology and Department of PsychiatrySir Run Run Shaw HospitalZhejiang University School of MedicineHangzhou310058China
| | - Lixia Gao
- Department of Neurology of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and TechnologyZhejiang University School of MedicineHangzhou310027China
- Key Laboratory for Biomedical Engineering of Ministry of EducationCollege of Biomedical Engineering and Instrument Science, Zhejiang UniversityHangzhou310027China
- MOE Frontier Science Center for Brain Science and Brain‐machine IntegrationSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhou310027China
| | - Xinjian Li
- Department of Neurology of the Second Affiliated Hospital and Interdisciplinary Institute of Neuroscience and TechnologyZhejiang University School of MedicineHangzhou310027China
- MOE Frontier Science Center for Brain Science and Brain‐machine IntegrationSchool of Brain Science and Brain MedicineZhejiang UniversityHangzhou310027China
- Key Laboratory of Medical Neurobiology of Zhejiang ProvinceHangzhou310027China
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6
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Rondi-Reig L, Paradis AL, Fallahnezhad M. A Liaison Brought to Light: Cerebellum-Hippocampus, Partners for Spatial Cognition. CEREBELLUM (LONDON, ENGLAND) 2022; 21:826-837. [PMID: 35752720 DOI: 10.1007/s12311-022-01422-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/24/2022] [Indexed: 01/18/2023]
Abstract
This review focuses on the functional and anatomical links between the cerebellum and the hippocampus and the role of their interplay in goal-directed navigation and spatial cognition. We will describe the interactions between the cerebellum and the hippocampus at different scales: a macroscopic scale revealing the joint activations of these two structures at the level of neuronal circuits, a mesoscopic scale highlighting the synchronization of neuronal oscillations, and finally a cellular scale where we will describe the activity of hippocampal neuronal assemblies following a targeted manipulation of the cerebellar system. We will take advantage of this framework to summarize the different anatomical pathways that may sustain this multiscale interaction. We will finally consider the possible influence of the cerebellum on pathologies traditionally associated with hippocampal dysfunction.
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Affiliation(s)
- Laure Rondi-Reig
- Institut de Biologie Paris Seine (IBPS), Cerebellum Navigation and Memory Team (CeZaMe), Sorbonne Université, CNRS, INSERM, Neurosciences Paris Seine (NPS), 75005, Paris, France.
| | - Anne-Lise Paradis
- Institut de Biologie Paris Seine (IBPS), Cerebellum Navigation and Memory Team (CeZaMe), Sorbonne Université, CNRS, INSERM, Neurosciences Paris Seine (NPS), 75005, Paris, France
| | - Mehdi Fallahnezhad
- Institut de Biologie Paris Seine (IBPS), Cerebellum Navigation and Memory Team (CeZaMe), Sorbonne Université, CNRS, INSERM, Neurosciences Paris Seine (NPS), 75005, Paris, France
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7
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Fayat R, Delgado Betancourt V, Goyallon T, Petremann M, Liaudet P, Descossy V, Reveret L, Dugué GP. Inertial Measurement of Head Tilt in Rodents: Principles and Applications to Vestibular Research. SENSORS (BASEL, SWITZERLAND) 2021; 21:6318. [PMID: 34577524 PMCID: PMC8472891 DOI: 10.3390/s21186318] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/03/2021] [Accepted: 09/13/2021] [Indexed: 12/21/2022]
Abstract
Inertial sensors are increasingly used in rodent research, in particular for estimating head orientation relative to gravity, or head tilt. Despite this growing interest, the accuracy of tilt estimates computed from rodent head inertial data has never been assessed. Using readily available inertial measurement units mounted onto the head of freely moving rats, we benchmarked a set of tilt estimation methods against concurrent 3D optical motion capture. We show that, while low-pass filtered head acceleration signals only provided reliable tilt estimates in static conditions, sensor calibration combined with an appropriate choice of orientation filter and parameters could yield average tilt estimation errors below 1.5∘ during movement. We then illustrate an application of inertial head tilt measurements in a preclinical rat model of unilateral vestibular lesion and propose a set of metrics describing the severity of associated postural and motor symptoms and the time course of recovery. We conclude that headborne inertial sensors are an attractive tool for quantitative rodent behavioral analysis in general and for the study of vestibulo-postural functions in particular.
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Affiliation(s)
- Romain Fayat
- Neurophysiologie des Circuits Cérébraux, Institut de Biologie de l’ENS (IBENS), Ecole Normale Supérieure, UMR CNRS 8197, INSERM U1024, Université PSL, 75005 Paris, France;
- Laboratoire MAP5, UMR CNRS 8145, Université Paris Descartes, 75006 Paris, France
| | | | - Thibault Goyallon
- Laboratoire Jean Kuntzmann, Université Grenoble Alpes, UMR CNRS 5224, INRIA, 38330 Montbonnot-Saint-Martin, France; (T.G.); (L.R.)
| | - Mathieu Petremann
- Preclinical Development, Sensorion SA, 34080 Montpellier, France; (V.D.B.); (M.P.); (P.L.); (V.D.)
| | - Pauline Liaudet
- Preclinical Development, Sensorion SA, 34080 Montpellier, France; (V.D.B.); (M.P.); (P.L.); (V.D.)
| | - Vincent Descossy
- Preclinical Development, Sensorion SA, 34080 Montpellier, France; (V.D.B.); (M.P.); (P.L.); (V.D.)
| | - Lionel Reveret
- Laboratoire Jean Kuntzmann, Université Grenoble Alpes, UMR CNRS 5224, INRIA, 38330 Montbonnot-Saint-Martin, France; (T.G.); (L.R.)
| | - Guillaume P. Dugué
- Neurophysiologie des Circuits Cérébraux, Institut de Biologie de l’ENS (IBENS), Ecole Normale Supérieure, UMR CNRS 8197, INSERM U1024, Université PSL, 75005 Paris, France;
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8
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A Slow Short-Term Depression at Purkinje to Deep Cerebellar Nuclear Neuron Synapses Supports Gain-Control and Linear Encoding over Second-Long Time Windows. J Neurosci 2020; 40:5937-5953. [PMID: 32554551 DOI: 10.1523/jneurosci.2078-19.2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 04/21/2020] [Accepted: 05/23/2020] [Indexed: 11/21/2022] Open
Abstract
Modifications in the sensitivity of neural elements allow the brain to adapt its functions to varying demands. Frequency-dependent short-term synaptic depression (STD) provides a dynamic gain-control mechanism enabling adaptation to different background conditions alongside enhanced sensitivity to input-driven changes in activity. In contrast, synapses displaying frequency-invariant transmission can faithfully transfer ongoing presynaptic rates enabling linear processing, deemed critical for many functions. However, rigid frequency-invariant transmission may lead to runaway dynamics and low sensitivity to changes in rate. Here, I investigated the Purkinje cell to deep cerebellar nuclei neuron synapses (PC_DCNs), which display frequency invariance, and yet, PCs maintain background activity at disparate rates, even at rest. Using protracted PC_DCN activation (120 s) to mimic background activity in cerebellar slices from mature mice of both sexes, I identified a previously unrecognized, frequency-dependent, slow STD (S-STD), adapting IPSC amplitudes in tens of seconds to minutes. However, after changes in activation rates, over a behavior-relevant second-long time window, S-STD enabled scaled linear encoding of PC rates in synaptic charge transfer and DCN spiking activity. Combined electrophysiology, optogenetics, and statistical analysis suggested that S-STD mechanism is input-specific, involving decreased ready-to-release quanta, and distinct from faster short-term plasticity (f-STP). Accordingly, an S-STD component with a scaling effect (i.e., activity-dependent release sites inactivation), extending a model explaining PC_DCN release on shorter timescales using balanced f-STP, reproduced the experimental results. Thus, these results elucidates a novel slow gain-control mechanism able to support linear transfer of behavior-driven/learned PC rates concurrently with background activity adaptation, and furthermore, provides an alternative pathway to refine PC output.SIGNIFICANCE STATEMENT The brain can adapt to varying demands by dynamically changing the gain of its synapses; however, some tasks require ongoing linear transfer of presynaptic rates, seemingly incompatible with nonlinear gain adaptation. Here, I report a novel slow gain-control mechanism enabling scaled linear encoding of presynaptic rates over behavior-relevant time windows, and adaptation to background activity at the Purkinje to deep cerebellar nuclear neurons synapses (PC_DCNs). A previously unrecognized PC_DCNs slow and frequency-dependent short-term synaptic depression (S-STD) mediates this process. Experimental evidence and simulations suggested that scaled linear encoding emerges from the combination of S-STD slow dynamics and frequency-invariant transmission at faster timescales. These results demonstrate a mechanism reconciling rate code with background activity adaptation and suitable for flexibly tuning PCs output via background activity modulation.
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9
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Menardy F, Varani AP, Combes A, Léna C, Popa D. Functional Alteration of Cerebello-Cerebral Coupling in an Experimental Mouse Model of Parkinson's Disease. Cereb Cortex 2020; 29:1752-1766. [PMID: 30715237 PMCID: PMC6418382 DOI: 10.1093/cercor/bhy346] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 11/13/2018] [Indexed: 12/21/2022] Open
Abstract
In Parkinson's disease, the degeneration of the midbrain dopaminergic neurons is consistently associated with modified metabolic activity in the cerebellum. Here we examined the functional reorganization taking place in the cerebello-cerebral circuit in a murine model of Parkinson's disease with 6-OHDA lesion of midbrain dopaminergic neurons. Cerebellar optogenetic stimulations evoked similar movements in control and lesioned mice, suggesting a normal coupling of cerebellum to the motor effectors after the lesion. In freely moving animals, the firing rate in the primary motor cortex was decreased after the lesion, while cerebellar nuclei neurons showed an increased firing rate. This increase may result from reduced inhibitory Purkinje cells inputs, since a population of slow and irregular Purkinje cells was observed in the cerebellar hemispheres of lesioned animals. Moreover, cerebellar stimulations generated smaller electrocortical responses in the motor cortex of lesioned animals suggesting a weaker cerebello-cerebral coupling. Overall these results indicate the presence of functional changes in the cerebello-cerebral circuit, but their ability to correct cortical dysfunction may be limited due to functional uncoupling between the cerebellum and cerebral cortex.
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Affiliation(s)
- Fabien Menardy
- Neurophysiology of Brain Circuits Team, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, PSL Research University, Paris, France
| | - Andrés Pablo Varani
- Neurophysiology of Brain Circuits Team, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, PSL Research University, Paris, France
| | - Adèle Combes
- Neurophysiology of Brain Circuits Team, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, PSL Research University, Paris, France
| | - Clément Léna
- Neurophysiology of Brain Circuits Team, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, PSL Research University, Paris, France
| | - Daniela Popa
- Neurophysiology of Brain Circuits Team, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, PSL Research University, Paris, France
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10
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Noh W, Lee M, Kim HJ, Kim KS, Yang S. Hypergravity induced disruption of cerebellar motor coordination. Sci Rep 2020; 10:4452. [PMID: 32157179 PMCID: PMC7064588 DOI: 10.1038/s41598-020-61453-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 02/21/2020] [Indexed: 01/23/2023] Open
Abstract
The cerebellum coordinates voluntary movements for balanced motor activity in a normal gravity condition. It remains unknown how hypergravity is associated with cerebellum-dependent motor behaviors and Purkinje cell’s activities. In order to investigate the relationship between gravity and cerebellar physiology, we measured AMPA-mediated fast currents and mGluR1-mediated slow currents of cerebellar Purkinje cells along with cerebellum-dependent behaviors such as the footprint and irregular ladder under a hypergravity condition. We found abnormal animal behaviors in the footprint and irregular ladder tests under hypergravity. They are correlated with decreased AMPA and mGluR1-mediated synaptic currents of Purkinje cells. These results indicate that gravity regulates the activity of Purkinje cells, thereby modulating cerebellum-dependent motor outputs.
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Affiliation(s)
- Wonjun Noh
- Department of Nano-Bioengineering, Incheon National University, Incheon, Korea
| | - Minseok Lee
- Department of Nano-Bioengineering, Incheon National University, Incheon, Korea
| | - Hyun Ji Kim
- Department of Otorhinolaryngology-Head & Neck surgery, Inha University, College of medicine, Incheon, Korea
| | - Kyu-Sung Kim
- Department of Otorhinolaryngology-Head & Neck surgery, Inha University, College of medicine, Incheon, Korea.
| | - Sunggu Yang
- Department of Nano-Bioengineering, Incheon National University, Incheon, Korea.
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11
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Laurens J, Angelaki DE. Simple spike dynamics of Purkinje cells in the macaque vestibulo-cerebellum during passive whole-body self-motion. Proc Natl Acad Sci U S A 2020; 117:3232-3238. [PMID: 31988119 PMCID: PMC7022220 DOI: 10.1073/pnas.1915873117] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Theories of cerebellar functions posit that the cerebellum implements internal models for online correction of motor actions and sensory estimation. As an example of such computations, an internal model resolves a sensory ambiguity where the peripheral otolith organs in the inner ear sense both head tilts and translations. Here we exploit the response dynamics of two functionally coupled Purkinje cell types in the vestibular part of the caudal vermis (lobules IX and X) to understand their role in this computation. We find that one population encodes tilt velocity, whereas the other, translation-selective, population encodes linear acceleration. We predict that an intermediate neuronal type should temporally integrate the output of tilt-selective cells into a tilt position signal.
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Affiliation(s)
- Jean Laurens
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77056
| | - Dora E Angelaki
- Department of Neuroscience, Baylor College of Medicine, Houston, TX 77056;
- Center for Neural Science, New York University, New York, NY 10003
- Tandon School of Engineering, New York University, New York, NY 10003
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12
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Abstract
We here provide neural evidence that the cerebellar circuit can predict future inputs from present outputs, a hallmark of an internal forward model. Recent computational studies hypothesize that the cerebellum performs state prediction known as a forward model. To test the forward-model hypothesis, we analyzed activities of 94 mossy fibers (inputs to the cerebellar cortex), 83 Purkinje cells (output from the cerebellar cortex to dentate nucleus), and 73 dentate nucleus cells (cerebellar output) in the cerebro-cerebellum, all recorded from a monkey performing step-tracking movements of the right wrist. We found that the firing rates of one population could be reconstructed as a weighted linear sum of those of preceding populations. We then went on to investigate if the current outputs of the cerebellum (dentate cells) could predict the future inputs of the cerebellum (mossy fibers). The firing rates of mossy fibers at time t + t1 could be well reconstructed from as a weighted sum of firing rates of dentate cells at time t, thereby proving that the dentate activities contained predictive information about the future inputs. The average goodness-of-fit (R2) decreased moderately from 0.89 to 0.86 when t1 was increased from 20 to 100 ms, hence indicating that the prediction is able to compensate the latency of sensory feedback. The linear equations derived from the firing rates resembled those of a predictor known as Kalman filter composed of prediction and filtering steps. In summary, our analysis of cerebellar activities supports the forward-model hypothesis of the cerebellum.
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13
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Mackrous I, Carriot J, Jamali M, Cullen KE. Cerebellar Prediction of the Dynamic Sensory Consequences of Gravity. Curr Biol 2019; 29:2698-2710.e4. [PMID: 31378613 DOI: 10.1016/j.cub.2019.07.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 06/19/2019] [Accepted: 07/01/2019] [Indexed: 12/29/2022]
Abstract
As we go about our everyday activities, our brain computes accurate estimates of both our motion relative to the world and our orientation relative to gravity. However, how the brain then accounts for gravity as we actively move and interact with our environment is not yet known. Here, we provide evidence that, although during passive movements, individual cerebellar output neurons encode representations of head motion and orientation relative to gravity, these gravity-driven responses are cancelled when head movement is a consequence of voluntary generated movement. In contrast, the gravity-driven responses of primary otolith and semicircular canal afferents remain intact during both active and passive self-motion, indicating the attenuated responses of central neurons are not inherited from afferent inputs. Taken together, our results are consistent with the view that the cerebellum builds a dynamic prediction (e.g., internal model) of the sensory consequences of gravity during active self-motion, which in turn enables the preferential encoding of unexpected motion to ensure postural and perceptual stability.
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Affiliation(s)
- Isabelle Mackrous
- Department of Physiology, McGill University, McIntyre Medical Building, 3655 Promenade Sir William Osler, Montréal, QC H3G 1Y6, Canada.
| | - Jerome Carriot
- Department of Physiology, McGill University, McIntyre Medical Building, 3655 Promenade Sir William Osler, Montréal, QC H3G 1Y6, Canada.
| | - Mohsen Jamali
- Department of Physiology, McGill University, McIntyre Medical Building, 3655 Promenade Sir William Osler, Montréal, QC H3G 1Y6, Canada.
| | - Kathleen E Cullen
- Department of Physiology, McGill University, McIntyre Medical Building, 3655 Promenade Sir William Osler, Montréal, QC H3G 1Y6, Canada; Department of Biomedical Engineering, Johns Hopkins University, Rm. 720, Ross Building, 720 Rutland Avenue, Baltimore, MD 21205, USA.
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14
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Abstract
Supervised learning plays a key role in the operation of many biological and artificial neural networks. Analysis of the computations underlying supervised learning is facilitated by the relatively simple and uniform architecture of the cerebellum, a brain area that supports numerous motor, sensory, and cognitive functions. We highlight recent discoveries indicating that the cerebellum implements supervised learning using the following organizational principles: ( a) extensive preprocessing of input representations (i.e., feature engineering), ( b) massively recurrent circuit architecture, ( c) linear input-output computations, ( d) sophisticated instructive signals that can be regulated and are predictive, ( e) adaptive mechanisms of plasticity with multiple timescales, and ( f) task-specific hardware specializations. The principles emerging from studies of the cerebellum have striking parallels with those in other brain areas and in artificial neural networks, as well as some notable differences, which can inform future research on supervised learning and inspire next-generation machine-based algorithms.
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Affiliation(s)
- Jennifer L Raymond
- Department of Neurobiology, Stanford University School of Medicine, Stanford, California 94305, USA;
| | - Javier F Medina
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas 77030, USA;
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15
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Cullen KE. Vestibular processing during natural self-motion: implications for perception and action. Nat Rev Neurosci 2019; 20:346-363. [PMID: 30914780 PMCID: PMC6611162 DOI: 10.1038/s41583-019-0153-1] [Citation(s) in RCA: 116] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
How the brain computes accurate estimates of our self-motion relative to the world and our orientation relative to gravity in order to ensure accurate perception and motor control is a fundamental neuroscientific question. Recent experiments have revealed that the vestibular system encodes this information during everyday activities using pathway-specific neural representations. Furthermore, new findings have established that vestibular signals are selectively combined with extravestibular information at the earliest stages of central vestibular processing in a manner that depends on the current behavioural goal. These findings have important implications for our understanding of the brain mechanisms that ensure accurate perception and behaviour during everyday activities and for our understanding of disorders of vestibular processing.
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Affiliation(s)
- Kathleen E Cullen
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
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16
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Genetically eliminating Purkinje neuron GABAergic neurotransmission increases their response gain to vestibular motion. Proc Natl Acad Sci U S A 2019; 116:3245-3250. [PMID: 30723151 DOI: 10.1073/pnas.1818819116] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Purkinje neurons in the caudal cerebellar vermis combine semicircular canal and otolith signals to segregate linear and gravitational acceleration, evidence for how the cerebellum creates internal models of body motion. However, it is not known which cerebellar circuit connections are necessary to perform this computation. We first showed that this computation is evolutionarily conserved and represented across multiple lobules of the rodent vermis. Then we tested whether Purkinje neuron GABAergic output is required for accurately differentiating linear and gravitational movements through a conditional genetic silencing approach. By using extracellular recordings from lobules VI through X in awake mice, we show that silencing Purkinje neuron output significantly alters their baseline simple spike variability. Moreover, the cerebellum of genetically manipulated mice continues to distinguish linear from gravitational acceleration, suggesting that the underlying computations remain intact. However, response gain is significantly increased in the mutant mice over littermate controls. Altogether, these data argue that Purkinje neuron feedback regulates gain control within the cerebellar circuit.
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17
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Badura A, Verpeut JL, Metzger JW, Pereira TD, Pisano TJ, Deverett B, Bakshinskaya DE, Wang SSH. Normal cognitive and social development require posterior cerebellar activity. eLife 2018; 7:36401. [PMID: 30226467 PMCID: PMC6195348 DOI: 10.7554/elife.36401] [Citation(s) in RCA: 112] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 09/15/2018] [Indexed: 11/14/2022] Open
Abstract
Cognitive and social capacities require postnatal experience, yet the pathways by which experience guides development are unknown. Here we show that the normal development of motor and nonmotor capacities requires cerebellar activity. Using chemogenetic perturbation of molecular layer interneurons to attenuate cerebellar output in mice, we found that activity of posterior regions in juvenile life modulates adult expression of eyeblink conditioning (paravermal lobule VI, crus I), reversal learning (lobule VI), persistive behavior and novelty-seeking (lobule VII), and social preference (crus I/II). Perturbation in adult life altered only a subset of phenotypes. Both adult and juvenile disruption left gait metrics largely unaffected. Contributions to phenotypes increased with the amount of lobule inactivated. Using an anterograde transsynaptic tracer, we found that posterior cerebellum made strong connections with prelimbic, orbitofrontal, and anterior cingulate cortex. These findings provide anatomical substrates for the clinical observation that cerebellar injury increases the risk of autism.
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Affiliation(s)
- Aleksandra Badura
- Princeton Neuroscience Institute, Princeton University, Princeton, United States.,Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.,Department of Molecular Biology, Princeton University, Princeton, United States.,Department of Neuroscience, Erasmus MC, Rotterdam, The Netherlands
| | - Jessica L Verpeut
- Princeton Neuroscience Institute, Princeton University, Princeton, United States.,Department of Molecular Biology, Princeton University, Princeton, United States
| | - Julia W Metzger
- Princeton Neuroscience Institute, Princeton University, Princeton, United States.,Department of Molecular Biology, Princeton University, Princeton, United States
| | - Talmo D Pereira
- Princeton Neuroscience Institute, Princeton University, Princeton, United States.,Department of Molecular Biology, Princeton University, Princeton, United States
| | - Thomas J Pisano
- Princeton Neuroscience Institute, Princeton University, Princeton, United States.,Department of Molecular Biology, Princeton University, Princeton, United States.,Robert Wood Johnson Medical School, New Brunswick, United States
| | - Ben Deverett
- Princeton Neuroscience Institute, Princeton University, Princeton, United States.,Department of Molecular Biology, Princeton University, Princeton, United States.,Robert Wood Johnson Medical School, New Brunswick, United States
| | - Dariya E Bakshinskaya
- Princeton Neuroscience Institute, Princeton University, Princeton, United States.,Department of Molecular Biology, Princeton University, Princeton, United States
| | - Samuel S-H Wang
- Princeton Neuroscience Institute, Princeton University, Princeton, United States.,Department of Molecular Biology, Princeton University, Princeton, United States
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18
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Popa LS, Streng ML, Ebner TJ. Purkinje Cell Representations of Behavior: Diary of a Busy Neuron. Neuroscientist 2018; 25:241-257. [PMID: 29985093 DOI: 10.1177/1073858418785628] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Fundamental for understanding cerebellar function is determining the representations in Purkinje cell activity, the sole output of the cerebellar cortex. Up to the present, the most accurate descriptions of the information encoded by Purkinje cells were obtained in the context of motor behavior and reveal a high degree of heterogeneity of kinematic and performance error signals encoded. The most productive framework for organizing Purkinje cell firing representations is provided by the forward internal model hypothesis. Direct tests of this hypothesis show that individual Purkinje cells encode two different forward models simultaneously, one for effector kinematics and one for task performance. Newer results demonstrate that the timing of simple spike encoding of motor parameters spans an extend interval of up to ±2 seconds. Furthermore, complex spike discharge is not limited to signaling errors, can be predictive, and dynamically controls the information in the simple spike firing to meet the demands of upcoming behavior. These rich, diverse, and changing representations highlight the integrative aspects of cerebellar function and offer the opportunity to generalize the cerebellar computational framework over both motor and non-motor domains.
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Affiliation(s)
- Laurentiu S Popa
- 1 Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
| | - Martha L Streng
- 1 Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
| | - Timothy J Ebner
- 1 Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
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19
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Weiss S, Derdikman D. Role of the head-direction signal in spatial tasks: when and how does it guide behavior? J Neurophysiol 2018. [PMID: 29537921 DOI: 10.1152/jn.00560.2017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Since their discovery, mammalian head-direction (HD) cells have been extensively researched in terms of sensory origins, external cue control, and circuitry. However, the relationship of HD cells to behavior is not yet fully understood. In the current review, we examine the anatomical clues for information flow in the HD circuit and an emerging body of evidence that links neural activity of HD cells and spatial orientation. We hypothesize from results obtained in spatial orientation tasks involving HD cells that when properly aligned with available external cues, the HD signal could be used for guiding rats to a goal location. However, contradictory inputs from separate sensory systems may reduce the influence of the HD signal such that animals are able to switch between this and other systems according to their impact on behavior.
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Affiliation(s)
- Shahaf Weiss
- Department of Neuroscience, Rappaport Faculty of Medicine and Research Institute, Technion - Israel Institute of Technology , Haifa , Israel.,School of Zoology, George Wise Faculty of Life Sciences, Tel Aviv University , Ramat-Aviv , Israel.,Max Planck Institute for Brain Research , Frankfurt am Main , Germany
| | - Dori Derdikman
- Department of Neuroscience, Rappaport Faculty of Medicine and Research Institute, Technion - Israel Institute of Technology , Haifa , Israel
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