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Prati JM, Pontes-Silva A, Gianlorenço ACL. The cerebellum and its connections to other brain structures involved in motor and non-motor functions: A comprehensive review. Behav Brain Res 2024; 465:114933. [PMID: 38458437 DOI: 10.1016/j.bbr.2024.114933] [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: 12/17/2023] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 03/10/2024]
Abstract
The cerebellum has a large network of neurons that communicate with several brain structures and participate in different functions. Recent studies have demonstrated that the cerebellum is not only associated with motor functions but also participates in several non-motor functions. It is suggested that the cerebellum can modulate behavior through many connections with different nervous system structures in motor, sensory, cognitive, autonomic, and emotional processes. Recently, a growing number of clinical and experimental studies support this theory and provide further evidence. In light of recent findings, a comprehensive review is needed to summarize the knowledge on the influence of the cerebellum on the processing of different functions. Therefore, the aim of this review was to describe the neuroanatomical aspects of the activation of the cerebellum and its connections with other structures of the central nervous system in different behaviors.
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Affiliation(s)
- José Mário Prati
- Postgraduate Program in Physical Therapy, Department of Physical Therapy, Universidade Federal de São Carlos, São Carlos, SP, Brazil.
| | - André Pontes-Silva
- Postgraduate Program in Physical Therapy, Department of Physical Therapy, Universidade Federal de São Carlos, São Carlos, SP, Brazil
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2
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Palacios ER, Chadderton P, Friston K, Houghton C. Cerebellar state estimation enables resilient coupling across behavioural domains. Sci Rep 2024; 14:6641. [PMID: 38503802 PMCID: PMC10951354 DOI: 10.1038/s41598-024-56811-x] [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: 08/09/2023] [Accepted: 03/11/2024] [Indexed: 03/21/2024] Open
Abstract
Cerebellar computations are necessary for fine behavioural control and may rely on internal models for estimation of behaviourally relevant states. Here, we propose that the central cerebellar function is to estimate how states interact with each other, and to use these estimates to coordinates extra-cerebellar neuronal dynamics underpinning a range of interconnected behaviours. To support this claim, we describe a cerebellar model for state estimation that includes state interactions, and link this model with the neuronal architecture and dynamics observed empirically. This is formalised using the free energy principle, which provides a dual perspective on a system in terms of both the dynamics of its physical-in this case neuronal-states, and the inferential process they entail. As a demonstration of this proposal, we simulate cerebellar-dependent synchronisation of whisking and respiration, which are known to be tightly coupled in rodents, as well as limb and tail coordination during locomotion. In summary, we propose that the ubiquitous involvement of the cerebellum in behaviour arises from its central role in precisely coupling behavioural domains.
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Affiliation(s)
- Ensor Rafael Palacios
- University of Bristol, School of Physiology Pharmacology and Neuroscience, Bristol, BS8 1TD, UK.
| | - Paul Chadderton
- University of Bristol, School of Physiology Pharmacology and Neuroscience, Bristol, BS8 1TD, UK
| | - Karl Friston
- UCL, Wellcome Centre for Human Neuroimaging, London, WC1N 3AR, UK
| | - Conor Houghton
- University of Bristol, Department of Computer Science, Bristol, BS8 1UB, UK
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3
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Zhai P, Romano V, Soggia G, Bauer S, van Wingerden N, Jacobs T, van der Horst A, White JJ, Mazza R, De Zeeuw CI. Whisker kinematics in the cerebellum. J Physiol 2024; 602:153-181. [PMID: 37987552 DOI: 10.1113/jp284064] [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: 11/07/2022] [Accepted: 10/30/2023] [Indexed: 11/22/2023] Open
Abstract
The whisker system is widely used as a model system for understanding sensorimotor integration. Purkinje cells in the crus regions of the cerebellum have been reported to linearly encode whisker midpoint, but it is unknown whether the paramedian and simplex lobules as well as their target neurons in the cerebellar nuclei also encode whisker kinematics and if so which ones. Elucidating how these kinematics are represented throughout the cerebellar hemisphere is essential for understanding how the cerebellum coordinates multiple sensorimotor modalities. Exploring the cerebellar hemisphere of mice using optogenetic stimulation, we found that whisker movements can be elicited by stimulation of Purkinje cells in not only crus1 and crus2, but also in the paramedian lobule and lobule simplex; activation of cells in the medial paramedian lobule had on average the shortest latency, whereas that of cells in lobule simplex elicited similar kinematics as those in crus1 and crus2. During spontaneous whisking behaviour, simple spike activity correlated in general better with velocity than position of the whiskers, but it varied between protraction and retraction as well as per lobule. The cerebellar nuclei neurons targeted by the Purkinje cells showed similar activity patterns characterized by a wide variety of kinematic signals, yet with a dominance for velocity. Taken together, our data indicate that whisker movements are much more prominently and diversely represented in the cerebellar cortex and nuclei than assumed, highlighting the rich repertoire of cerebellar control in the kinematics of movements that can be engaged during coordination. KEY POINTS: Excitation of Purkinje cells throughout the cerebellar hemispheres induces whisker movement, with the shortest latency and longest duration within the paramedian lobe. Purkinje cells have differential encoding for the fast and slow components of whisking. Purkinje cells encode not only the position but also the velocity of whiskers. Purkinje cells with high sensitivity for whisker velocity are preferentially located in the medial part of lobule simplex, crus1 and lateral paramedian. In the downstream cerebellar nuclei, neurons with high sensitivity for whisker velocity are located at the intersection between the medial and interposed nucleus.
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Affiliation(s)
- Peipei Zhai
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | - Vincenzo Romano
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | - Giulia Soggia
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | - Staf Bauer
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | | | - Thomas Jacobs
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | | | - Joshua J White
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | - Roberta Mazza
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | - Chris I De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
- Netherlands Institute for Neuroscience, Royal Dutch Academy of Arts & Sciences, Amsterdam, Netherlands
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4
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Shokri-Kojori E, Tomasi D, Demiral SB, Wang GJ, Volkow ND. An autonomic mode of brain activity. Prog Neurobiol 2023; 229:102510. [PMID: 37516341 PMCID: PMC10591458 DOI: 10.1016/j.pneurobio.2023.102510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/11/2023] [Accepted: 07/18/2023] [Indexed: 07/31/2023]
Abstract
The relevance of interactions between autonomic and central nervous systems remains unclear for human brain function and health, particularly when both systems are challenged under sleep deprivation (SD). We measured brain activity (with fMRI), pulse and respiratory signals, and baseline brain amyloid beta burden (with PET) in healthy participants. We found that SD relative to rested wakefulness (RW) resulted in a significant increase in synchronized low frequency (LF, < 0.1 Hz) activity in an autonomically-related network (AN), including dorsal attention, visual, and sensorimotor regions, which we previously found to have consistent temporal coupling with LF pulse signal changes (regulated by sympathetic tone). SD resulted in a significant phase coherence between the LF component of the pulse signal and a medial network with peak effects in the midbrain reticular formation, and between LF component of the respiratory variations (regulated by respiratory motor output) and a cerebellar network. The LF power of AN during SD was significantly and independently correlated with pulse-medial network and respiratory-cerebellar network phase coherences (total adjusted R2 = 0.78). Higher LF power of AN during SD (but not RW) was associated with lower amyloid beta burden (Cohen's d = 0.8). In sum, SD triggered an autonomic mode of synchronized brain activity that was associated with distinct autonomic-central interactions. Findings highlight the direct relevance of global cortical synchronization to brain clearance mechanisms.
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Affiliation(s)
- Ehsan Shokri-Kojori
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.
| | - Dardo Tomasi
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Sukru B Demiral
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA
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5
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Ciapponi C, Li Y, Osorio Becerra DA, Rodarie D, Casellato C, Mapelli L, D’Angelo E. Variations on the theme: focus on cerebellum and emotional processing. Front Syst Neurosci 2023; 17:1185752. [PMID: 37234065 PMCID: PMC10206087 DOI: 10.3389/fnsys.2023.1185752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 04/18/2023] [Indexed: 05/27/2023] Open
Abstract
The cerebellum operates exploiting a complex modular organization and a unified computational algorithm adapted to different behavioral contexts. Recent observations suggest that the cerebellum is involved not just in motor but also in emotional and cognitive processing. It is therefore critical to identify the specific regional connectivity and microcircuit properties of the emotional cerebellum. Recent studies are highlighting the differential regional localization of genes, molecules, and synaptic mechanisms and microcircuit wiring. However, the impact of these regional differences is not fully understood and will require experimental investigation and computational modeling. This review focuses on the cellular and circuit underpinnings of the cerebellar role in emotion. And since emotion involves an integration of cognitive, somatomotor, and autonomic activity, we elaborate on the tradeoff between segregation and distribution of these three main functions in the cerebellum.
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Affiliation(s)
- Camilla Ciapponi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Yuhe Li
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | | | - Dimitri Rodarie
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Centro Ricerche Enrico Fermi, Rome, Italy
| | - Claudia Casellato
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Lisa Mapelli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Egidio D’Angelo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy
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Gibson AR, Horn KM, Pong M. Nucleus reticularis tegmenti pontis: a bridge between the basal ganglia and cerebellum for movement control. Exp Brain Res 2023; 241:1271-1287. [PMID: 37000205 PMCID: PMC10129968 DOI: 10.1007/s00221-023-06574-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 02/13/2023] [Indexed: 04/01/2023]
Abstract
Neural processing in the basal ganglia is critical for normal movement. Diseases of the basal ganglia, such as Parkinson's disease, produce a variety of movement disorders including akinesia and bradykinesia. Many believe that the basal ganglia influence movement via thalamic projections to motor areas of the cerebral cortex and through projections to the cerebellum, which also projects to the motor cortex via the thalamus. However, lesions that interrupt these thalamic pathways to the cortex have little effect on many movements, including limb movements. Yet, limb movements are severely impaired by basal ganglia disease or damage to the cerebellum. We can explain this impairment as well as the mild effects of thalamic lesions if basal ganglia and cerebellar output reach brainstem motor regions without passing through the thalamus. In this report, we describe several brainstem pathways that connect basal ganglia output to the cerebellum via nucleus reticularis tegmenti pontis (NRTP). Additionally, we propose that widespread afferent and efferent connections of NRTP with the cerebellum could integrate processing across cerebellar regions. The basal ganglia could then alter movements via descending projections of the cerebellum. Pathways through NRTP are important for the control of normal movement and may underlie deficits associated with basal ganglia disease.
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Affiliation(s)
- Alan R Gibson
- Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA.
- , 3417 E. Mission Ln, Phoenix, AZ, 85028, USA.
| | - Kris M Horn
- Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA
- Chamberlain College of Nursing, 1036 E Baylor Ln, Gilbert, AZ, 85296, USA
| | - Milton Pong
- Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, 85013, USA
- School of Osteopathic Medicine, Arizona, A. T. Still University, 5850 E. Still Circle, Mesa, AZ, 85206, USA
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Krohn F, Novello M, van der Giessen RS, De Zeeuw CI, Pel JJM, Bosman LWJ. The integrated brain network that controls respiration. eLife 2023; 12:83654. [PMID: 36884287 PMCID: PMC9995121 DOI: 10.7554/elife.83654] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 01/29/2023] [Indexed: 03/09/2023] Open
Abstract
Respiration is a brain function on which our lives essentially depend. Control of respiration ensures that the frequency and depth of breathing adapt continuously to metabolic needs. In addition, the respiratory control network of the brain has to organize muscular synergies that integrate ventilation with posture and body movement. Finally, respiration is coupled to cardiovascular function and emotion. Here, we argue that the brain can handle this all by integrating a brainstem central pattern generator circuit in a larger network that also comprises the cerebellum. Although currently not generally recognized as a respiratory control center, the cerebellum is well known for its coordinating and modulating role in motor behavior, as well as for its role in the autonomic nervous system. In this review, we discuss the role of brain regions involved in the control of respiration, and their anatomical and functional interactions. We discuss how sensory feedback can result in adaptation of respiration, and how these mechanisms can be compromised by various neurological and psychological disorders. Finally, we demonstrate how the respiratory pattern generators are part of a larger and integrated network of respiratory brain regions.
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Affiliation(s)
- Friedrich Krohn
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | - Manuele Novello
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | | | - Chris I De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands.,Netherlands Institute for Neuroscience, Royal Academy of Arts and Sciences, Amsterdam, Netherlands
| | - Johan J M Pel
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
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Bauer S, van Wingerden N, Jacobs T, van der Horst A, Zhai P, Betting JHLF, Strydis C, White JJ, De Zeeuw CI, Romano V. Purkinje Cell Activity Resonation Generates Rhythmic Behaviors at the Preferred Frequency of 8 Hz. Biomedicines 2022; 10:biomedicines10081831. [PMID: 36009378 PMCID: PMC9404806 DOI: 10.3390/biomedicines10081831] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/21/2022] [Accepted: 07/25/2022] [Indexed: 12/01/2022] Open
Abstract
Neural activity exhibits oscillations, bursts, and resonance, enhancing responsiveness at preferential frequencies. For example, theta-frequency bursting and resonance in granule cells facilitate synaptic transmission and plasticity mechanisms at the input stage of the cerebellar cortex. However, whether theta-frequency bursting of Purkinje cells is involved in generating rhythmic behavior has remained neglected. We recorded and optogenetically modulated the simple and complex spike activity of Purkinje cells while monitoring whisker movements with a high-speed camera of awake, head-fixed mice. During spontaneous whisking, both simple spike activity and whisker movement exhibit peaks within the theta band. Eliciting either simple or complex spikes at frequencies ranging from 0.5 to 28 Hz, we found that 8 Hz is the preferred frequency around which the largest movement is induced. Interestingly, oscillatory whisker movements at 8 Hz were also generated when simple spike bursting was induced at 2 and 4 Hz, but never via climbing fiber stimulation. These results indicate that 8 Hz is the resonant frequency at which the cerebellar-whisker circuitry produces rhythmic whisking.
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Affiliation(s)
- Staf Bauer
- Department of Neuroscience, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (S.B.); (N.v.W.); (T.J.); (A.v.d.H.); (P.Z.); (J.-H.L.F.B.); (C.S.); (J.J.W.); (C.I.D.Z.)
| | - Nathalie van Wingerden
- Department of Neuroscience, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (S.B.); (N.v.W.); (T.J.); (A.v.d.H.); (P.Z.); (J.-H.L.F.B.); (C.S.); (J.J.W.); (C.I.D.Z.)
| | - Thomas Jacobs
- Department of Neuroscience, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (S.B.); (N.v.W.); (T.J.); (A.v.d.H.); (P.Z.); (J.-H.L.F.B.); (C.S.); (J.J.W.); (C.I.D.Z.)
| | - Annabel van der Horst
- Department of Neuroscience, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (S.B.); (N.v.W.); (T.J.); (A.v.d.H.); (P.Z.); (J.-H.L.F.B.); (C.S.); (J.J.W.); (C.I.D.Z.)
| | - Peipei Zhai
- Department of Neuroscience, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (S.B.); (N.v.W.); (T.J.); (A.v.d.H.); (P.Z.); (J.-H.L.F.B.); (C.S.); (J.J.W.); (C.I.D.Z.)
| | - Jan-Harm L. F. Betting
- Department of Neuroscience, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (S.B.); (N.v.W.); (T.J.); (A.v.d.H.); (P.Z.); (J.-H.L.F.B.); (C.S.); (J.J.W.); (C.I.D.Z.)
| | - Christos Strydis
- Department of Neuroscience, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (S.B.); (N.v.W.); (T.J.); (A.v.d.H.); (P.Z.); (J.-H.L.F.B.); (C.S.); (J.J.W.); (C.I.D.Z.)
- Department of Quantum & Computing Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands
| | - Joshua J. White
- Department of Neuroscience, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (S.B.); (N.v.W.); (T.J.); (A.v.d.H.); (P.Z.); (J.-H.L.F.B.); (C.S.); (J.J.W.); (C.I.D.Z.)
| | - Chris I. De Zeeuw
- Department of Neuroscience, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (S.B.); (N.v.W.); (T.J.); (A.v.d.H.); (P.Z.); (J.-H.L.F.B.); (C.S.); (J.J.W.); (C.I.D.Z.)
- Netherlands Institute for Neuroscience, Royal Academy of Arts and Sciences, 1105 BA Amsterdam, The Netherlands
| | - Vincenzo Romano
- Department of Neuroscience, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (S.B.); (N.v.W.); (T.J.); (A.v.d.H.); (P.Z.); (J.-H.L.F.B.); (C.S.); (J.J.W.); (C.I.D.Z.)
- Correspondence:
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Time and tide of cerebellar synchrony. Proc Natl Acad Sci U S A 2022; 119:e2204155119. [PMID: 35452313 PMCID: PMC9170046 DOI: 10.1073/pnas.2204155119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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10
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Romano V, Zhai P, van der Horst A, Mazza R, Jacobs T, Bauer S, Wang X, White JJ, De Zeeuw CI. Olivocerebellar control of movement symmetry. Curr Biol 2022; 32:654-670.e4. [PMID: 35016009 DOI: 10.1016/j.cub.2021.12.020] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/26/2021] [Accepted: 12/08/2021] [Indexed: 01/02/2023]
Abstract
Coordination of bilateral movements is essential for a large variety of animal behaviors. The olivocerebellar system is critical for the control of movement, but its role in bilateral coordination has yet to be elucidated. Here, we examined whether Purkinje cells encode and influence synchronicity of left-right whisker movements. We found that complex spike activity is correlated with a prominent left-right symmetry of spontaneous whisker movements within parts, but not all, of Crus1 and Crus2. Optogenetic stimulation of climbing fibers in the areas with high and low correlations resulted in symmetric and asymmetric whisker movements, respectively. Moreover, when simple spike frequency prior to the complex spike was higher, the complex spike-related symmetric whisker protractions were larger. This finding alludes to a role for rebound activity in the cerebellar nuclei, which indeed turned out to be enhanced during symmetric protractions. Tracer injections suggest that regions associated with symmetric whisker movements are anatomically connected to the contralateral cerebellar hemisphere. Together, these data point toward the existence of modules on both sides of the cerebellar cortex that can differentially promote or reduce the symmetry of left and right movements in a context-dependent fashion.
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Affiliation(s)
- Vincenzo Romano
- Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands.
| | - Peipei Zhai
- Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands
| | | | - Roberta Mazza
- Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands
| | - Thomas Jacobs
- Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands
| | - Staf Bauer
- Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands
| | - Xiaolu Wang
- Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands
| | - Joshua J White
- Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands
| | - C I De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam, the Netherlands; Netherlands Institute for Neuroscience, Royal Academy of Arts and Sciences, Amsterdam, the Netherlands.
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Taylor AP, Lee AS, Goedecke PJ, Tolley EA, Joyner AL, Heck DH. Conditional loss of Engrailed1/2 in Atoh1-derived excitatory cerebellar nuclear neurons impairs eupneic respiration in mice. GENES, BRAIN, AND BEHAVIOR 2022; 21:e12788. [PMID: 35044072 PMCID: PMC8852233 DOI: 10.1111/gbb.12788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 11/24/2021] [Accepted: 11/25/2021] [Indexed: 02/03/2023]
Abstract
Evidence for a cerebellar role during cardiopulmonary challenges has long been established, but studies of cerebellar involvement in eupneic breathing have been inconclusive. Here we investigated temporal aspects of eupneic respiration in the Atoh1-En1/2 mouse model of cerebellar neuropathology. Atoh1-En1/2 conditional knockout mice have conditional loss of the developmental patterning genes Engrailed1 and 2 in excitatory cerebellar nuclear neurons, which leads to loss of a subset of medial and intermediate excitatory cerebellar nuclear neurons. A sample of three Atoh1-derived extracerebellar nuclei showed no cell loss in the conditional knockout compared to control mice. We measured eupneic respiration in mutant animals and control littermates using whole-body unrestrained plethysmography and compared the average respiratory rate, coefficient of variation, and the CV2, a measure of intrinsic rhythmicity. Linear regression analyses revealed that Atoh1-En1/2 conditional knockouts have decreased overall variability (p = 0.021; b = -0.045) and increased intrinsic rhythmicity compared to their control littermates (p < 0.001; b = -0.037), but we found no effect of genotype on average respiratory rate (p = 0.064). Analysis also revealed modestly decreased respiratory rates (p = 0.025; b = -0.82), increased coefficient of variation (p = 0.0036; b = 0.060), and increased CV2 in female animals, independent of genotype (p = 0.024; b = 0.026). These results suggest a cerebellar involvement in eupneic breathing by controlling rhythmicity. We argue that the cerebellar involvement in controlling the CV2 of respiration is indicative of an involvement of coordinating respiration with other orofacial rhythms, such as swallowing.
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Affiliation(s)
- Angela P. Taylor
- Department of Anatomy and Neurobiology, College of MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA
| | - Andrew S. Lee
- Developmental Biology ProgramSloan Kettering InstituteNew YorkNew YorkUSA
- Neuroscience ProgramWeill Cornell Graduate School of Medical SciencesNew YorkNew YorkUSA
| | - Patricia J. Goedecke
- Division of Biostatistics, Department of Preventive Medicine, College of MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA
| | - Elizabeth A. Tolley
- Division of Biostatistics, Department of Preventive Medicine, College of MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA
| | - Alexandra L. Joyner
- Developmental Biology ProgramSloan Kettering InstituteNew YorkNew YorkUSA
- Neuroscience ProgramWeill Cornell Graduate School of Medical SciencesNew YorkNew YorkUSA
- Biochemistry, Cell and Molecular Biology ProgramWeill Cornell Graduate School of Medical SciencesNew YorkNew YorkUSA
| | - Detlef H. Heck
- Department of Anatomy and Neurobiology, College of MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA
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12
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Yin T, He Z, Ma P, Sun R, Xie K, Liu T, Chen L, Chen J, Hou L, Teng Y, Guo Y, Tian Z, Xiong J, Wang F, Li S, Yang S, Zeng F. Aberrant functional brain network dynamics in patients with functional constipation. Hum Brain Mapp 2021; 42:5985-5999. [PMID: 34533251 PMCID: PMC8596972 DOI: 10.1002/hbm.25663] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/25/2021] [Accepted: 09/06/2021] [Indexed: 12/17/2022] Open
Abstract
The aberrant static functional connectivity of brain network has been widely investigated in patients with functional constipation (FCon). However, the dynamics of brain functional connectivity in FCon patients remained unknown. This study aimed to detect the brain dynamics of functional connectivity states and network topological organizations of FCon patients and investigate the correlations of the aberrant brain dynamics with symptom severity. Eighty-three FCon patients and 80 healthy subjects (HS) were included in data analysis. The spatial group independent component analysis, sliding-window approach, k-means clustering, and graph-theoretic analysis were applied to investigate the dynamic temporal properties and coupling patterns of functional connectivity states, as well as the time-variation of network topological organizations in FCon patients. Four reoccurring functional connectivity states were identified in k-means clustering analysis. Compared to HS, FCon patients manifested the lower occurrence rate and mean dwell time in the state with a complex connection between default mode network and cognitive control network, as well as the aberrant anterior insula-cortical coupling patterns in this state, which were significantly correlated with the symptom severity. The graph-theoretic analysis demonstrated that FCon patients had higher sample entropy at the nodal efficiency of anterior insula than HS. The current findings provided dynamic perspectives for understanding the brain connectome of FCon and laid the foundation for the potential treatment of FCon based on brain connectomics.
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Affiliation(s)
- Tao Yin
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Zhaoxuan He
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Key Laboratory of Sichuan Province for Acupuncture and ChronobiologyChengduSichuanChina
| | - Peihong Ma
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Ruirui Sun
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Kunnan Xie
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Tianyu Liu
- School of SportChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Li Chen
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Jingwen Chen
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Likai Hou
- Sichuan Bayi Rehabilitation CenterChengduSichuanChina
| | - Yuke Teng
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Yuyi Guo
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Zilei Tian
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Jing Xiong
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Fumin Wang
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Shenghong Li
- State Key Laboratory of Southwestern Chinese Medicine Resources/Innovative Institute of Chinese Medicine and PharmacyChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Sha Yang
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Key Laboratory of Sichuan Province for Acupuncture and ChronobiologyChengduSichuanChina
| | - Fang Zeng
- Acupuncture and Tuina School/The 3rd Teaching HospitalChengdu University of Traditional Chinese MedicineChengduSichuanChina
- Acupuncture and Brain Science Research CenterChengdu University of Traditional Chinese MedicineChengduSichuanChina
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13
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Bina L, Romano V, Hoogland TM, Bosman LWJ, De Zeeuw CI. Purkinje cells translate subjective salience into readiness to act and choice performance. Cell Rep 2021; 37:110116. [PMID: 34910904 DOI: 10.1016/j.celrep.2021.110116] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 07/06/2021] [Accepted: 11/19/2021] [Indexed: 11/28/2022] Open
Abstract
The brain selectively allocates attention from a continuous stream of sensory input. This process is typically attributed to computations in distinct regions of the forebrain and midbrain. Here, we explore whether cerebellar Purkinje cells encode information about the selection of sensory inputs and could thereby contribute to non-motor forms of learning. We show that complex spikes of individual Purkinje cells change the sensory modality they encode to reflect changes in the perceived salience of sensory input. Comparisons with mouse models deficient in cerebellar plasticity suggest that changes in complex spike activity instruct potentiation of Purkinje cells simple spike firing, which is required for efficient learning. Our findings suggest that during learning, climbing fibers do not directly guide motor output, but rather contribute to a general readiness to act via changes in simple spike activity, thereby bridging the sequence from non-motor to motor functions.
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Affiliation(s)
- Lorenzo Bina
- Department of Neuroscience, Erasmus MC, Rotterdam 3000 CA, the Netherlands
| | - Vincenzo Romano
- Department of Neuroscience, Erasmus MC, Rotterdam 3000 CA, the Netherlands
| | - Tycho M Hoogland
- Department of Neuroscience, Erasmus MC, Rotterdam 3000 CA, the Netherlands; Netherlands Institute for Neuroscience, Royal Academy of Arts and Sciences, Amsterdam 1105 BA, the Netherlands
| | - Laurens W J Bosman
- Department of Neuroscience, Erasmus MC, Rotterdam 3000 CA, the Netherlands.
| | - Chris I De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam 3000 CA, the Netherlands; Netherlands Institute for Neuroscience, Royal Academy of Arts and Sciences, Amsterdam 1105 BA, the Netherlands.
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14
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Cerebellar Purkinje cells can differentially modulate coherence between sensory and motor cortex depending on region and behavior. Proc Natl Acad Sci U S A 2021; 118:2015292118. [PMID: 33443203 PMCID: PMC7812746 DOI: 10.1073/pnas.2015292118] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Activity of sensory and motor cortices is essential for sensorimotor integration. In particular, coherence between these areas may indicate binding of critical functions like perception, motor planning, action, or sleep. Evidence is accumulating that cerebellar output modulates cortical activity and coherence, but how, when, and where it does so is unclear. We studied activity in and coherence between S1 and M1 cortices during whisker stimulation in the absence and presence of optogenetic Purkinje cell stimulation in crus 1 and 2 of awake mice, eliciting strong simple spike rate modulation. Without Purkinje cell stimulation, whisker stimulation triggers fast responses in S1 and M1 involving transient coherence in a broad spectrum. Simultaneous stimulation of Purkinje cells and whiskers affects amplitude and kinetics of sensory responses in S1 and M1 and alters the estimated S1-M1 coherence in theta and gamma bands, allowing bidirectional control dependent on behavioral context. These effects are absent when Purkinje cell activation is delayed by 20 ms. Focal stimulation of Purkinje cells revealed site specificity, with cells in medial crus 2 showing the most prominent and selective impact on estimated coherence, i.e., a strong suppression in the gamma but not the theta band. Granger causality analyses and computational modeling of the involved networks suggest that Purkinje cells control S1-M1 phase consistency predominantly via ventrolateral thalamus and M1. Our results indicate that activity of sensorimotor cortices can be dynamically and functionally modulated by specific cerebellar inputs, highlighting a widespread role of the cerebellum in coordinating sensorimotor behavior.
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15
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White JJ, Bosman LWJ, Blot FGC, Osório C, Kuppens BW, Krijnen WHJJ, Andriessen C, De Zeeuw CI, Jaarsma D, Schonewille M. Region-specific preservation of Purkinje cell morphology and motor behavior in the ATXN1[82Q] mouse model of spinocerebellar ataxia 1. Brain Pathol 2021; 31:e12946. [PMID: 33724582 PMCID: PMC8412070 DOI: 10.1111/bpa.12946] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 01/27/2021] [Accepted: 02/16/2021] [Indexed: 01/09/2023] Open
Abstract
Purkinje cells are the primary processing units of the cerebellar cortex and display molecular heterogeneity that aligns with differences in physiological properties, projection patterns, and susceptibility to disease. In particular, multiple mouse models that feature Purkinje cell degeneration are characterized by incomplete and patterned Purkinje cell degeneration, suggestive of relative sparing of Purkinje cell subpopulations, such as those expressing Aldolase C/zebrinII (AldoC) or residing in the vestibulo‐cerebellum. Here, we investigated a well‐characterized Purkinje cell‐specific mouse model for spinocerebellar ataxia type 1 (SCA1) that expresses human ATXN1 with a polyQ expansion (82Q). Our pathological analysis confirms previous findings that Purkinje cells of the vestibulo‐cerebellum, i.e., the flocculonodular lobes, and crus I are relatively spared from key pathological hallmarks: somatodendritic atrophy, and the appearance of p62/SQSTM1‐positive inclusions. However, immunohistological analysis of transgene expression revealed that spared Purkinje cells do not express mutant ATXN1 protein, indicating the sparing of Purkinje cells can be explained by an absence of transgene expression. Additionally, we found that Purkinje cells in other cerebellar lobules that typically express AldoC, not only display severe pathology but also show loss of AldoC expression. The relatively preserved flocculonodular lobes and crus I showed a substantial fraction of Purkinje cells that expressed the mutant protein and displayed pathology as well as loss of AldoC expression. Despite considerable pathology in these lobules, behavioral analyses demonstrated a relative sparing of related functions, suggestive of sufficient functional cerebellar reserve. Together, the data indicate that mutant ATXN1 affects both AldoC‐positive and AldoC‐negative Purkinje cells and disrupts normal parasagittal AldoC expression in Purkinje cells. Our results show that, in a mouse model otherwise characterized by widespread Purkinje cell degeneration, sparing of specific subpopulations is sufficient to maintain normal performance of specific behaviors within the context of the functional, modular map of the cerebellum.
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Affiliation(s)
- Joshua J White
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | | | | | - Catarina Osório
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | - Bram W Kuppens
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | | | | | - Chris I De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands.,Netherlands Institute for Neuroscience, Royal Academy of Arts and Sciences, Amsterdam, Netherlands
| | - Dick Jaarsma
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
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16
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Betting JHLF, Romano V, Al-Ars Z, Bosman LWJ, Strydis C, De Zeeuw CI. WhiskEras: A New Algorithm for Accurate Whisker Tracking. Front Cell Neurosci 2020; 14:588445. [PMID: 33281560 PMCID: PMC7705537 DOI: 10.3389/fncel.2020.588445] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 10/15/2020] [Indexed: 01/10/2023] Open
Abstract
Rodents engage in active touch using their facial whiskers: they explore their environment by making rapid back-and-forth movements. The fast nature of whisker movements, during which whiskers often cross each other, makes it notoriously difficult to track individual whiskers of the intact whisker field. We present here a novel algorithm, WhiskEras, for tracking of whisker movements in high-speed videos of untrimmed mice, without requiring labeled data. WhiskEras consists of a pipeline of image-processing steps: first, the points that form the whisker centerlines are detected with sub-pixel accuracy. Then, these points are clustered in order to distinguish individual whiskers. Subsequently, the whiskers are parameterized so that a single whisker can be described by four parameters. The last step consists of tracking individual whiskers over time. We describe that WhiskEras performs better than other whisker-tracking algorithms on several metrics. On our four video segments, WhiskEras detected more whiskers per frame than the Biotact Whisker Tracking Tool. The signal-to-noise ratio of the output of WhiskEras was higher than that of Janelia Whisk. As a result, the correlation between reflexive whisker movements and cerebellar Purkinje cell activity appeared to be stronger than previously found using other tracking algorithms. We conclude that WhiskEras facilitates the study of sensorimotor integration by markedly improving the accuracy of whisker tracking in untrimmed mice.
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Affiliation(s)
| | - Vincenzo Romano
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
| | - Zaid Al-Ars
- Department of Quantum & Computer Engineering, Delft University of Technology, Delft, Netherlands
| | | | - Christos Strydis
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
- Department of Quantum & Computer Engineering, Delft University of Technology, Delft, Netherlands
| | - Chris I. De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands
- Netherlands Institute for Neuroscience, Royal Academy of Arts and Sciences, Amsterdam, Netherlands
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17
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De Zeeuw CI. Bidirectional learning in upbound and downbound microzones of the cerebellum. Nat Rev Neurosci 2020; 22:92-110. [PMID: 33203932 DOI: 10.1038/s41583-020-00392-x] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2020] [Indexed: 12/30/2022]
Abstract
Over the past several decades, theories about cerebellar learning have evolved. A relatively simple view that highlighted the contribution of one major form of heterosynaptic plasticity to cerebellar motor learning has given way to a plethora of perspectives that suggest that many different forms of synaptic and non-synaptic plasticity, acting at various sites, can control multiple types of learning behaviour. However, there still seem to be contradictions between the various hypotheses with regard to the mechanisms underlying cerebellar learning. The challenge is therefore to reconcile these different views and unite them into a single overall concept. Here I review our current understanding of the changes in the activity of cerebellar Purkinje cells in different 'microzones' during various forms of learning. I describe an emerging model that indicates that the activity of each microzone is bound to either increase or decrease during the initial stages of learning, depending on the directional and temporal demands of its downstream circuitry and the behaviour involved.
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Affiliation(s)
- Chris I De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands. .,Netherlands Institute for Neuroscience, Royal Academy of Arts and Sciences (KNAW), Amsterdam, Netherlands.
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18
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van Hoogstraten WS, De Zeeuw CI. Decoding the infrastructure of the cerebellum. eLife 2020; 9:60852. [PMID: 32812869 PMCID: PMC7438108 DOI: 10.7554/elife.60852] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 08/12/2020] [Indexed: 11/13/2022] Open
Abstract
High-end technical approaches help to untangle the substructure and projection patterns of the cerebellum.
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Affiliation(s)
| | - Chris I De Zeeuw
- Department of Neuroscience, Erasmus MC, Rotterdam, Netherlands.,Netherlands Institute for Neuroscience, NIN-KNAW, Amsterdam, Netherlands
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