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Petrosini L, Picerni E, Termine A, Fabrizio C, Laricchiuta D, Cutuli D. The Cerebellum as an Embodying Machine. Neuroscientist 2024; 30:229-246. [PMID: 36052895 DOI: 10.1177/10738584221120187] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Whereas emotion theorists often keep their distance from the embodied approach, theorists of embodiment tend to treat emotion as a mainly physiologic process. However, intimate links between emotions and the body suggest that emotions are privileged phenomena to attempt to reintegrate mind and body and that the body helps the mind in shaping emotional responses. To date, research has favored the cerebrum over other parts of the brain as a substrate of embodied emotions. However, given the widely demonstrated contribution of the cerebellum to emotional processing, research in affective neuroscience should consider embodiment theory as a useful approach for evaluating the cerebellar role in emotion and affect. The aim of this review is to insert the cerebellum among the structures needed to embody emotions, providing illustrative examples of cerebellar involvement in embodied emotions (as occurring in empathic abilities) and in impaired identification and expression of embodied emotions (as occurring in alexithymia).
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Affiliation(s)
| | | | | | | | | | - Debora Cutuli
- Santa Lucia Foundation IRCCS, Rome, Italy
- Department of Psychology, University Sapienza of Rome, Rome, Italy
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2
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Washburn S, Oñate M, Yoshida J, Vera J, Bhuvanasundaram R, Khatami L, Nadim F, Khodakhah K. The cerebellum directly modulates the substantia nigra dopaminergic activity. Nat Neurosci 2024; 27:497-513. [PMID: 38272967 DOI: 10.1038/s41593-023-01560-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 12/13/2023] [Indexed: 01/27/2024]
Abstract
Evidence of direct reciprocal connections between the cerebellum and basal ganglia has challenged the long-held notion that these structures function independently. While anatomical studies have suggested the presence of cerebellar projections to the substantia nigra pars compacta (SNc), the nature and function of these connections (Cb-SNc) is unknown. Here we show, in mice, that Cb-SNc projections form monosynaptic glutamatergic synapses with dopaminergic and non-dopaminergic neurons in the SNc. Optogenetic activation of Cb-SNc axons in the SNc is associated with increased SNc activity, elevated striatal dopamine levels and increased locomotion. During behavior, Cb-SNc projections are bilaterally activated before ambulation and unilateral lever manipulation. Cb-SNc projections show prominent activation for water reward and higher activation for sweet water, suggesting that the pathway also encodes reward value. Thus, the cerebellum directly, rapidly and effectively modulates basal ganglia dopamine levels and conveys information related to movement initiation, vigor and reward processing.
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Affiliation(s)
- Samantha Washburn
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Maritza Oñate
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Junichi Yoshida
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jorge Vera
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Leila Khatami
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Farzan Nadim
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Biological Sciences, New Jersey Institute of Technology, Newark, NJ, USA
| | - Kamran Khodakhah
- Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA.
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA.
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3
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Batsikadze G, Pakusch J, Klein M, Ernst TM, Thieme A, Nicksirat SA, Steiner KM, Nio E, Genc E, Maderwald S, Deuschl C, Merz CJ, Quick HH, Mark MD, Timmann D. Mild Deficits in Fear Learning: Evidence from Humans and Mice with Cerebellar Cortical Degeneration. eNeuro 2024; 11:ENEURO.0365-23.2023. [PMID: 38176906 PMCID: PMC10897646 DOI: 10.1523/eneuro.0365-23.2023] [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: 09/13/2023] [Revised: 11/21/2023] [Accepted: 12/08/2023] [Indexed: 01/06/2024] Open
Abstract
Functional brain imaging studies in humans suggest involvement of the cerebellum in fear conditioning but do not allow conclusions about the functional significance. The main aim of the present study was to examine whether patients with cerebellar degeneration show impaired fear conditioning and whether this is accompanied by alterations in cerebellar cortical activations. To this end, a 2 d differential fear conditioning study was conducted in 20 cerebellar patients and 21 control subjects using a 7 tesla (7 T) MRI system. Fear acquisition and extinction training were performed on day 1, followed by recall on day 2. Cerebellar patients learned to differentiate between the CS+ and CS-. Acquisition and consolidation of learned fear, however, was slowed. Additionally, extinction learning appeared to be delayed. The fMRI signal was reduced in relation to the prediction of the aversive stimulus and altered in relation to its unexpected omission. Similarly, mice with cerebellar cortical degeneration (spinocerebellar ataxia type 6, SCA6) were able to learn the fear association, but retrieval of fear memory was reduced. In sum, cerebellar cortical degeneration led to mild abnormalities in the acquisition of learned fear responses in both humans and mice, particularly manifesting postacquisition training. Future research is warranted to investigate the basis of altered fMRI signals related to fear learning.
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Affiliation(s)
- Giorgi Batsikadze
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
| | - Johanna Pakusch
- Behavioral Neuroscience, Ruhr University Bochum, 44801 Bochum, Germany
| | - Michael Klein
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
| | - Thomas Michael Ernst
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
| | - Andreas Thieme
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
| | - Seyed Ali Nicksirat
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
| | - Katharina Marie Steiner
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
- LVR-Hospital Essen, Department of Psychiatry and Psychotherapy, Medical Faculty, University of Duisburg-Essen, 45147 Essen, Germany
| | - Enzo Nio
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
| | - Erhan Genc
- Department of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors, Technical University of Dortmund (IfADo), 44139 Dortmund, Germany
| | - Stefan Maderwald
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
| | - Cornelius Deuschl
- Institute of Diagnostic and Interventional Radiology and Neuroradiology and C-TNBS, Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
| | - Christian Josef Merz
- Department of Cognitive Psychology, Institute of Cognitive Neuroscience, Ruhr University Bochum, 44801 Bochum, Germany
| | - Harald H Quick
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
- High-Field and Hybrid MR Imaging, Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
| | - Melanie D Mark
- Behavioral Neuroscience, Ruhr University Bochum, 44801 Bochum, Germany
| | - Dagmar Timmann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, 45147 Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, 45141 Essen, Germany
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Matsui R, Aoyama T, Kato K, Hasegawa Y. Real-time motion force-feedback system with predictive-vision for improving motor accuracy. Sci Rep 2024; 14:2168. [PMID: 38272970 PMCID: PMC10810826 DOI: 10.1038/s41598-024-52811-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 01/23/2024] [Indexed: 01/27/2024] Open
Abstract
Many haptic guidance systems have been studied over the years; however, most of them have been limited to predefined guidance methods. Calculating guidance according to the operator's motion is important for efficient human motor adaptation and learning. In this study, we developed a system that haptically provides guidance trajectory by sequential weighting between the operator's trajectory and the ideal trajectory calculated from a predictive-vision system. We investigated whether motion completion with a predictive-vision system affects human motor accuracy and adaptation in time-constrained goal-directed reaching and ball-hitting tasks through subject experiments. The experiment was conducted with 12 healthy participants, and all participants performed ball-hitting tasks. Half of the participants get forceful guidance from the proposed system in the middle of the experiment. We found that the use of the proposed system improved the operator's motor performance. Furthermore, we observed a trend in which the improvement in motor performance using this system correlated with that after the washout of this system. These results suggest that the predictive-vision system effectively enhances motor accuracy to the target error in dynamic and time-constrained reaching and hitting tasks and may contribute to facilitating motor learning.
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Affiliation(s)
- Ryo Matsui
- The Development of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Aichi, 464-8603, Japan
| | - Tadayoshi Aoyama
- The Development of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Aichi, 464-8603, Japan.
| | - Kenji Kato
- Assistive Robot Center, National Center for Geriatrics and Gerontology, Obu, Aichi, 474-8511, Japan.
| | - Yasuhisa Hasegawa
- The Development of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya, Aichi, 464-8603, Japan
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Baliga VB, Dakin R, Wylie DR, Altshuler DL. Hummingbirds use distinct control strategies for forward and hovering flight. Proc Biol Sci 2024; 291:20232155. [PMID: 38196357 PMCID: PMC10777153 DOI: 10.1098/rspb.2023.2155] [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: 09/20/2023] [Accepted: 12/08/2023] [Indexed: 01/11/2024] Open
Abstract
The detection of optic flow is important for generating optomotor responses to mediate retinal image stabilization, and it can also be used during ongoing locomotion for centring and velocity control. Previous work in hummingbirds has separately examined the roles of optic flow during hovering and when centring through a narrow passage during forward flight. To develop a hypothesis for the visual control of forward flight velocity, we examined the behaviour of hummingbirds in a flight tunnel where optic flow could be systematically manipulated. In all treatments, the animals exhibited periods of forward flight interspersed with bouts of spontaneous hovering. Hummingbirds flew fastest when they had a reliable signal of optic flow. All optic flow manipulations caused slower flight, suggesting that hummingbirds had an expected optic flow magnitude that was disrupted. In addition, upward and downward optic flow drove optomotor responses for maintaining altitude during forward flight. When hummingbirds made voluntary transitions to hovering, optomotor responses were observed to all directions. Collectively, these results are consistent with hummingbirds controlling flight speed via mechanisms that use an internal forward model to predict expected optic flow whereas flight altitude and hovering position are controlled more directly by sensory feedback from the environment.
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Affiliation(s)
- Vikram B. Baliga
- Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4
| | - Roslyn Dakin
- Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4
- Department of Biology, Carleton University, Ottawa, Ontario, Canada K1S 5B6
| | - Douglas R. Wylie
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2R3
| | - Douglas L. Altshuler
- Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4
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6
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Bruel A, Abadía I, Collin T, Sakr I, Lorach H, Luque NR, Ros E, Ijspeert A. The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation. PLoS Comput Biol 2024; 20:e1011008. [PMID: 38166093 PMCID: PMC10786408 DOI: 10.1371/journal.pcbi.1011008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 01/12/2024] [Accepted: 12/12/2023] [Indexed: 01/04/2024] Open
Abstract
Complex interactions between brain regions and the spinal cord (SC) govern body motion, which is ultimately driven by muscle activation. Motor planning or learning are mainly conducted at higher brain regions, whilst the SC acts as a brain-muscle gateway and as a motor control centre providing fast reflexes and muscle activity regulation. Thus, higher brain areas need to cope with the SC as an inherent and evolutionary older part of the body dynamics. Here, we address the question of how SC dynamics affects motor learning within the cerebellum; in particular, does the SC facilitate cerebellar motor learning or constitute a biological constraint? We provide an exploratory framework by integrating biologically plausible cerebellar and SC computational models in a musculoskeletal upper limb control loop. The cerebellar model, equipped with the main form of cerebellar plasticity, provides motor adaptation; whilst the SC model implements stretch reflex and reciprocal inhibition between antagonist muscles. The resulting spino-cerebellar model is tested performing a set of upper limb motor tasks, including external perturbation studies. A cerebellar model, lacking the implemented SC model and directly controlling the simulated muscles, was also tested in the same. The performances of the spino-cerebellar and cerebellar models were then compared, thus allowing directly addressing the SC influence on cerebellar motor adaptation and learning, and on handling external motor perturbations. Performance was assessed in both joint and muscle space, and compared with kinematic and EMG recordings from healthy participants. The differences in cerebellar synaptic adaptation between both models were also studied. We conclude that the SC facilitates cerebellar motor learning; when the SC circuits are in the loop, faster convergence in motor learning is achieved with simpler cerebellar synaptic weight distributions. The SC is also found to improve robustness against external perturbations, by better reproducing and modulating muscle cocontraction patterns.
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Affiliation(s)
- Alice Bruel
- Biorobotics Laboratory, EPFL, Lausanne, Switzerland
| | - Ignacio Abadía
- Research Centre for Information and Communication Technologies, Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain
| | | | - Icare Sakr
- NeuroRestore, EPFL, Lausanne, Switzerland
| | | | - Niceto R. Luque
- Research Centre for Information and Communication Technologies, Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain
| | - Eduardo Ros
- Research Centre for Information and Communication Technologies, Department of Computer Engineering, Automation and Robotics, University of Granada, Granada, Spain
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Spampinato DA, Casula EP, Koch G. The Cerebellum and the Motor Cortex: Multiple Networks Controlling Multiple Aspects of Behavior. Neuroscientist 2023:10738584231189435. [PMID: 37649430 DOI: 10.1177/10738584231189435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
The cerebellum and its thalamic projections to the primary motor cortex (M1) are well known to play an essential role in executing daily actions. Anatomic investigations in animals and postmortem humans have established the reciprocal connections between these regions; however, how these pathways can shape cortical activity in behavioral contexts and help promote recovery in neuropathological conditions remains not well understood. The present review aims to provide a comprehensive description of these pathways in animals and humans and discuss how novel noninvasive brain stimulation (NIBS) methods can be used to gain a deeper understanding of the cerebellar-M1 connections. In the first section, we focus on recent animal literature that details how information sent from the cerebellum and thalamus is integrated into an broad network of cortical motor neurons. We then discuss how NIBS approaches in humans can be used to reliably assess the connectivity between the cerebellum and M1. Moreover, we provide the latest perspectives on using advanced NIBS approaches to investigate and modulate multiple cerebellar-cortical networks involved in movement behavior and plasticity. Finally, we discuss how these emerging methods have been used in translation research to produce long-lasting modifications of cerebellar-thalamic-M1 to restore cortical activity and motor function in neurologic patients.
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Matsugi A, Nishishita S, Bando K, Kikuchi Y, Tsujimoto K, Tanabe Y, Yoshida N, Tanaka H, Douchi S, Honda T, Odagaki M, Nakano H, Okada Y, Mori N, Hosomi K. Excessive excitability of inhibitory cortical circuit and disturbance of ballistic targeting movement in degenerative cerebellar ataxia. Sci Rep 2023; 13:13917. [PMID: 37626122 PMCID: PMC10457313 DOI: 10.1038/s41598-023-41088-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 08/22/2023] [Indexed: 08/27/2023] Open
Abstract
This study aimed to investigate abnormalities in inhibitory cortical excitability and motor control during ballistic-targeting movements in individuals with degenerative cerebellar ataxia (DCA). Sixteen participants took part in the study (DCA group [n = 8] and healthy group [n = 8]). The resting motor-threshold and cortical silent period (cSP) were measured in the right-hand muscle using transcranial magnetic stimulation over the left primary motor cortex. Moreover, the performance of the ballistic-targeting task with right wrist movements was measured. The Scale for the Assessment and Rating of Ataxia was used to evaluate the severity of ataxia. The results indicated that the cSP was significantly longer in participants with DCA compared to that in healthy controls. However, there was no correlation between cSP and severity of ataxia. Furthermore, cSP was linked to the ballistic-targeting task performance in healthy participants but not in participants with DCA. These findings suggest that there is excessive activity in the gamma-aminobutyric acid-mediated cortical inhibitory circuit in individuals with DCA. However, this increase in inhibitory activity not only fails to contribute to the control of ballistic-targeting movement but also shows no correlation with the severity of ataxia. These imply that increased excitability in inhibitory cortical circuits in the DCA may not contribute the motor control as much as it does in healthy older adults under limitations associated with a small sample size. The study's results contribute to our understanding of motor control abnormalities in people with DCA and provide potential evidence for further research in this area.
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Affiliation(s)
- Akiyoshi Matsugi
- Faculty of Rehabilitation, Shijonawate Gakuen University, Hojo 5-11-10, Daitou City, Osaka, 574-0011, Japan.
| | - Satoru Nishishita
- Institute of Rehabilitation Science, Tokuyukai Medical Corporation, 3-11-1 Sakuranocho, Toyonaka City, Osaka, 560-0054, Japan
- Kansai Rehabilitation Hospital, 3-11-1 Sakuranocho, Toyonaka City, Osaka, 560-0054, Japan
| | - Kyota Bando
- National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, 187-0031, Japan
| | - Yutaka Kikuchi
- Department of Rehabilitation for Intractable Neurological Disorders, Institute of Brain and Blood Vessels Mihara Memorial Hospital, Ohtamachi 366, Isesaki City, Gunma, 372-0006, Japan
| | - Keigo Tsujimoto
- National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, 187-0031, Japan
| | - Yuto Tanabe
- Department of Rehabilitation for Intractable Neurological Disorders, Institute of Brain and Blood Vessels Mihara Memorial Hospital, Ohtamachi 366, Isesaki City, Gunma, 372-0006, Japan
| | - Naoki Yoshida
- Okayama Healthcare Professional University, 3-2-18 Daiku, Kita-ku, Okayama City, Okayama, 700-0913, Japan
| | - Hiroaki Tanaka
- KMU Day-Care Center Hirakata, Kansai Medical University Hospital, Shinmachi 2-3-1, Hirakata City, Osaka, 573-1191, Japan
- Department of Physical Medicine and Rehabilitation, Kansai Medical University, Shinmachi 2-5-1, Hirakata City, Osaka, 573-1010, Japan
| | - Shinya Douchi
- Department of Rehabilitation, National Hospital Organization Wakayama Hospital, Hukakusamukaihatacyo1-1, Husimi-ku, Kyoto City, Kyoto, 612-8555, Japan
| | - Takeru Honda
- The Center for Personalized Medicine for Healthy Aging, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan
| | - Masato Odagaki
- Maebashi Institute of Technology, Maebashi, Gunma Prefecture, Japan
| | - Hideki Nakano
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Yohei Okada
- Neurorehabilitation Research Center of Kio University, Koryo-cho, Kitakatsuragi-gun, Nara, 635-0832, Japan
| | - Nobuhiko Mori
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita City, Osaka, 565-0871, Japan
| | - Koichi Hosomi
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita City, Osaka, 565-0871, Japan
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Honda T, Matsumura K, Hashimoto Y, Yokota T, Mizusawa H, Nagao S, Ishikawa K. Temporal Relationship between Impairment of Cerebellar Motor Learning and Deterioration of Ataxia in Patients with Cerebellar Degeneration. CEREBELLUM (LONDON, ENGLAND) 2023:10.1007/s12311-023-01545-1. [PMID: 37115382 DOI: 10.1007/s12311-023-01545-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/10/2023] [Indexed: 04/29/2023]
Abstract
Ataxia and impaired motor learning are both fundamental features in diseases affecting the cerebellum. However, it remains unclarified whether motor learning is impaired only when ataxia clearly manifests, nor it is known whether the progression of ataxia, the speed of which often varies among patients with the same disease, can be monitored by examining motor learning. We evaluated motor learning and ataxia at intervals of several months in 40 patients with degenerative conditions [i.e., multiple system atrophy (MSA), Machado-Joseph disease (MJD)/spinocerebellar ataxia type 3 (SCA3), SCA6, and SCA31]. Motor learning was quantified as the adaptability index (AI) in the prism adaptation task and ataxia was scored using the Scale for the Assessment and Rating of Ataxia (SARA). We found that AI decreased most markedly in both MSA-C and MSA-P, moderately in MJD, and mildly in SCA6 and SCA31. Overall, the AI decrease occurred more rapidly than the SARA score increase. Interestingly, AIs remained normal in purely parkinsonian MSA-P patients (n = 4), but they dropped into the ataxia range when these patients started to show ataxia. The decrease in AI during follow-up (dAI/dt) was significant in patients with SARA scores < 10.5 compared with patients with SARA scores ≥ 10.5, indicating that AI is particularly useful for diagnosing the earlier phase of cerebellar degeneration. We conclude that AI is a useful marker for progressions of cerebellar diseases, and that evaluating the motor learning of patients can be particularly valuable for detecting cerebellar impairment, which is often masked by parkinsonisms and other signs.
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Affiliation(s)
- Takeru Honda
- Department of Neurology and Neurological Science, Graduate School, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan
- Basic Technology Research Center, Tokyo Metropolitan Institute of Medical Science, 2-1-6 Kamikitazawa, Setagaya-Ku, Tokyo, 156-8506, Japan
- Laboratory for Higher Brain Function, Nozomi Hospital, Ina, Kitaadachi-Gun, Saitama, 362-0806, Japan
- The Center for Personalized Medicine for Healthy Aging, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan
| | - Ken Matsumura
- Department of Neurology and Neurological Science, Graduate School, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan
- Department of Neurology, Tokyo Metropolitan Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-Ku, Tokyo, 113-8677, Japan
- Department of Internal Medicine, Tokyo Metropolitan Matsuzawa Hospital, 2-1-1 Kamikitazawa, Setagaya-Ku, Tokyo, 156-0057, Japan
| | - Yuji Hashimoto
- Department of Neurology and Neurological Science, Graduate School, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan
| | - Takanori Yokota
- Department of Neurology and Neurological Science, Graduate School, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan
| | - Hidehiro Mizusawa
- Department of Neurology and Neurological Science, Graduate School, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan
- National Center Hospital, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashicho, Kodaira, Tokyo, 187-8551, Japan
| | - Soichi Nagao
- Laboratory for Higher Brain Function, Nozomi Hospital, Ina, Kitaadachi-Gun, Saitama, 362-0806, Japan
| | - Kinya Ishikawa
- Department of Neurology and Neurological Science, Graduate School, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan.
- The Center for Personalized Medicine for Healthy Aging, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-Ku, Tokyo, 113-8510, Japan.
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Baladron J, Vitay J, Fietzek T, Hamker FH. The contribution of the basal ganglia and cerebellum to motor learning: A neuro-computational approach. PLoS Comput Biol 2023; 19:e1011024. [PMID: 37011086 PMCID: PMC10101648 DOI: 10.1371/journal.pcbi.1011024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 04/13/2023] [Accepted: 03/13/2023] [Indexed: 04/05/2023] Open
Abstract
Motor learning involves a widespread brain network including the basal ganglia, cerebellum, motor cortex, and brainstem. Despite its importance, little is known about how this network learns motor tasks and which role different parts of this network take. We designed a systems-level computational model of motor learning, including a cortex-basal ganglia motor loop and the cerebellum that both determine the response of central pattern generators in the brainstem. First, we demonstrate its ability to learn arm movements toward different motor goals. Second, we test the model in a motor adaptation task with cognitive control, where the model replicates human data. We conclude that the cortex-basal ganglia loop learns via a novelty-based motor prediction error to determine concrete actions given a desired outcome, and that the cerebellum minimizes the remaining aiming error.
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Affiliation(s)
- Javier Baladron
- Department of Computer Science, Chemnitz University of Technology, Chemnitz, Germany
- Departamento de Ingeniería Informática, Universidad de Santiago de Chile, Santiago, Chile
| | - Julien Vitay
- Department of Computer Science, Chemnitz University of Technology, Chemnitz, Germany
| | - Torsten Fietzek
- Department of Computer Science, Chemnitz University of Technology, Chemnitz, Germany
| | - Fred H Hamker
- Department of Computer Science, Chemnitz University of Technology, Chemnitz, Germany
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Matsugi A. Cerebellar TMS Induces Motor Responses Mediating Modulation of Spinal Excitability: A Literature Review. Brain Sci 2023; 13:brainsci13040531. [PMID: 37190496 DOI: 10.3390/brainsci13040531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/18/2023] [Accepted: 03/22/2023] [Indexed: 05/17/2023] Open
Abstract
Since individuals with cerebellar lesions often exhibit hypotonia, the cerebellum may contribute to the regulation of muscle tone and spinal motoneuron pool excitability. Neurophysiological methods using transcranial magnetic stimulation (TMS) of the cerebellum have been recently proposed for testing the role of the cerebellum in spinal excitability. Under specific conditions, single-pulse TMS administered to the cerebellar hemisphere or vermis elicits a long-latency motor response in the upper or lower limb muscles and facilitates the H-reflex of the soleus muscle, indicating increased excitability of the spinal motoneuron pool. This literature review examined the methods and mechanisms by which cerebellar TMS modulates spinal excitability.
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Affiliation(s)
- Akiyoshi Matsugi
- Faculty of Rehabilitation, Shijonawate Gakuen University, Osaka 574-0011, Japan
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12
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Kumar G, Ma CHE. Toward a cerebello-thalamo-cortical computational model of spinocerebellar ataxia. Neural Netw 2023; 162:541-556. [PMID: 37023628 DOI: 10.1016/j.neunet.2023.01.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 12/07/2022] [Accepted: 01/28/2023] [Indexed: 02/05/2023]
Abstract
Computational neural network modelling is an emerging approach for optimization of drug treatment of neurological disorders and fine-tuning of rehabilitation strategies. In the current study, we constructed a cerebello-thalamo-cortical computational neural network model to simulate a mouse model of cerebellar ataxia (pcd5J mice) by manipulating cerebellar bursts through reduction of GABAergic inhibitory input. Cerebellar output neurons were projected to the thalamus and bidirectionally connected with the cortical network. Our results showed that reduction of inhibitory input in the cerebellum orchestrated the cortical local field potential (LFP) dynamics to generate specific motor outputs of oscillations of the theta, alpha, and beta bands in the computational model as well as in mouse motor cortical neurons. The therapeutic potential of deep brain stimulation (DBS) was tested in the computational model by increasing the sensory input to restore cortical output. Ataxia mice showed normalization of the motor cortex LFP after cerebellum DBS. We provide a novel approach to computational modelling to investigate the effect of DBS by mimicking cerebellar ataxia involving degeneration of Purkinje cells. Simulated neural activity coincides with findings from neural recordings of ataxia mice. Our computational model could thus represent cerebellar pathologies and provide insight into how to improve disease symptoms by restoring neuronal electrophysiological properties using DBS.
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Affiliation(s)
- Gajendra Kumar
- Department of Neuroscience, City University of Hong Kong, Tat Chee Avenue, Hong Kong Special Administrative Region.
| | - Chi Him Eddie Ma
- Department of Neuroscience, City University of Hong Kong, Tat Chee Avenue, Hong Kong Special Administrative Region.
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13
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Healy SD. Adding the neuro to cognition: from food storing to nest building. Anim Cogn 2023; 26:249-260. [PMID: 36482117 PMCID: PMC9876861 DOI: 10.1007/s10071-022-01725-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 11/18/2022] [Accepted: 11/24/2022] [Indexed: 12/13/2022]
Abstract
Typically, investigations of animal cognition couple careful experimental manipulations with examination of the animal's behavioural responses. Sometimes those questions have included attempts to describe the neural underpinnings of the behavioural outputs. Over the past 25 years, behaviours that involve spatial learning and memory (such as navigation and food storing) has been one context in which such dual or correlated investigations have been both accessible and productive. Here I review some of that work and where it has led. Because of the wealth of data and insights gained from that work and song learning before it, it seems that it might also be useful to try to add some neurobiology to other systems in animal cognition. I finish then, with a description of recent work on the cognition and neurobiology of avian nest building. It is still relatively early days but asking questions about the cognition of nest building has already shown both neural correlates of nest building and that learning and memory play a much greater role in this behaviour than previously considered. While it is not yet clear how putting these components together will be synergistic, the examples of song learning and food storing provide encouragement. Perhaps this might be true for other behaviours too?
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Affiliation(s)
- Susan D Healy
- Centre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, KY16 9TH, UK.
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14
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Matsugi A, Mori N, Hosomi K, Saitoh Y. Cerebellar repetitive transcranial magnetic stimulation modulates the motor learning of visually guided voluntary postural control task. Neurosci Lett 2022; 788:136859. [PMID: 36038031 DOI: 10.1016/j.neulet.2022.136859] [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: 06/09/2022] [Revised: 08/10/2022] [Accepted: 08/23/2022] [Indexed: 10/15/2022]
Abstract
We investigated whether vermal cerebellar low-frequency repetitive transcranial magnetic stimulation (crTMS) affects motor learning of visually guided postural tracking training (VTT) using foot center of pressure (COP) as well as the stability and sensory contribution of upright standing. Twenty-one healthy volunteers participated (10 in the sham-crTMS group and 11 in the active-crTMS group). For VTT, participants stood on the force plate 1.5 m from the monitor on which the COP and target moved in a circle. Participants tracked the target with their own COP for 1 min, and 10 VTT sessions were conducted. The tracking error (TE) was compared between trials. Active- or sham-crTMS sessions were conducted prior to VTT. At baseline (before crTMS), pre-VTT (after crTMS), and post-VTT, the COP trajectory during upright static standing under four conditions (eyes, open/closed; surface, hard/rubber) was recorded. Comparison of the length of the COP trajectory or path and sensory-contribution-rate showed no significant difference between baseline and pre- and post-VTT. There was a significant decrease in TE in the sham-crTMS but not in the active-crTMS group. VTT and crTMS did not immediately affect the stability and sensory contribution of upright standing; however, crTMS immediately affected motor learning. The vermal cerebellum may contribute to motor learning of voluntary postural control.
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Affiliation(s)
- Akiyoshi Matsugi
- Faculty of Rehabilitation, Shijonawate Gakuen University, Hojo 5-11-10, Daitou City, Osaka 574-0011, Japan.
| | - Nobuhiko Mori
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita City, Osaka 565-0871, Japan
| | - Koichi Hosomi
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita City, Osaka 565-0871, Japan
| | - Youichi Saitoh
- Department of Mechanical Science and Bioengineering, Osaka University Graduate School of Engineering Science, Machikaneyama 1-3, Toyonaka City, Osaka 560-8531, Japan; Tokuyukai Rehabilitation Clinic, Shinsenri-nishimachi 2-24-18, Toyonaka City, Osaka 560-0083, Japan
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15
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Nakatani H, Nakamura Y, Okanoya K. Respective Involvement of the Right Cerebellar Crus I and II in Syntactic and Semantic Processing for Comprehension of Language. CEREBELLUM (LONDON, ENGLAND) 2022:10.1007/s12311-022-01451-y. [PMID: 35927417 DOI: 10.1007/s12311-022-01451-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/28/2022] [Indexed: 06/15/2023]
Abstract
The right posterolateral portions of the cerebellum (crus-I/II) are involved in language processing. However, their functional role in language remains unknown. The cerebellum is hypothesized to acquire an internal model that is a functional copy of mental representations in the cerebrum and to contribute to cognitive function. In this research, based on the cerebellar internal model hypothesis, we conducted task-based and resting-state functional magnetic resonance imaging (fMRI) experiments to investigate the role of the cerebellum in the syntactic and semantic aspects of comprehension of sentences. In a syntactic task, participants read sentences with center-embedded hierarchical structures. The hierarchical level-dependent activity was found in the right crus-I as well as Broca's area (p < 0.05, voxel-based small volume correction (SVC)). In a semantic task, the participants read three types of sentences for investigation of sentence-level, phrase-level, and word-level semantic processing. The semantic level-dependent activity was found in the right crus-II as well as in the left anterior temporal lobe and the left angular gyrus (p < 0.05, voxel-based SVC). Moreover, the right crus-I/II showed significant activity when the cognitive load was high. Resting-state fMRI demonstrated intrinsic functional connectivity between the right crus-I/II and language-related regions in the left cerebrum (p < 0.05, voxel-based SVC). These findings suggest that the right crus-I and crus-II are involved, respectively, in the syntactic and semantic aspects of sentence processing. The cerebellum assists processing of language in the cerebrum when the cognitive load is high.
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Affiliation(s)
- Hironori Nakatani
- School of Information and Telecommunication Engineering, Tokai University, 2-3-23, Minato-ku, TakanawaTokyo, 108-8619, Japan.
- RIKEN Center for Brain Science, 2-1, Hirosawa, Wako, Saitama, 351-0198, Japan.
| | - Yuko Nakamura
- The Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, 3-8-1, Meguro-ku, KomabaTokyo, 153-8902, Japan
- Institute for Diversity & Adaptation of Human Mind (UTIDAHM), The University of Tokyo, 3-8-1, Meguro-ku, KomabaTokyo, 153-8902, Japan
| | - Kazuo Okanoya
- RIKEN Center for Brain Science, 2-1, Hirosawa, Wako, Saitama, 351-0198, Japan
- The Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, 3-8-1, Meguro-ku, KomabaTokyo, 153-8902, Japan
- Institute for Diversity & Adaptation of Human Mind (UTIDAHM), The University of Tokyo, 3-8-1, Meguro-ku, KomabaTokyo, 153-8902, Japan
- Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1, Komaba, Meguro-ku, Tokyo, 153-8902, Japan
- Teikyo University, Advanced Comprehensive Research Organization, 2-21-1, Kaga, Itabashi-ku, Tokyo, 173-0003, Japan
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16
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Matsugi A, Nishishita S, Yoshida N, Tanaka H, Douchi S, Bando K, Tsujimoto K, Honda T, Kikuchi Y, Shimizu Y, Odagaki M, Nakano H, Okada Y, Mori N, Hosomi K, Saitoh Y. Impact of Repetitive Transcranial Magnetic Stimulation to the Cerebellum on Performance of a Ballistic Targeting Movement. CEREBELLUM (LONDON, ENGLAND) 2022:10.1007/s12311-022-01438-9. [PMID: 35781778 DOI: 10.1007/s12311-022-01438-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/17/2022] [Indexed: 12/30/2022]
Abstract
This study aimed to investigate the effects of repetitive transcranial magnetic stimulation (rTMS) of the cerebellum on changes in motor performance during a series of repetitive ballistic-targeting tasks. Twenty-two healthy young adults (n = 12 in the active-rTMS group and n = 10 in the sham rTMS group) participated in this study. The participants sat on a chair in front of a monitor and fixed their right forearms to a manipulandum. They manipulated the handle with the flexion/extension of the wrist to move the bar on the monitor. Immediately after a beep sound was played, the participant moved the bar as quickly as possible to the target line. After the first 10 repetitions of the ballistic-targeting task, active or sham rTMS (1 Hz, 900 pulses) was applied to the right cerebellum. Subsequently, five sets of 100 repetitions of this task were conducted. Participants in the sham rTMS group showed improved reaction time, movement time, maximum velocity of movement, and targeting error after repetition. However, improvements were inhibited in the active-rTMS group. Low-frequency cerebellar rTMS may disrupt motor learning during repetitive ballistic-targeting tasks. This supports the hypothesis that the cerebellum contributes to motor learning and motor-error correction in ballistic-targeting movements.
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Affiliation(s)
- Akiyoshi Matsugi
- Faculty of Rehabilitation, Shijonawate Gakuen University, Hojo 5-11-10, Daitou city, Osaka, 574-0011, Japan.
| | - Satoru Nishishita
- Institute of Rehabilitation Science, Tokuyukai Medical Corporation, 3-11-1 Sakuranocho, Toyonaka City, Osaka, 560-0054, Japan.,Kansai Rehabilitation Hospital, 3-11-1 Sakuranocho, Toyonaka City, Osaka, 560-0054, Japan
| | - Naoki Yoshida
- Okayama Healthcare Professional University, Okayama, Japan
| | - Hiroaki Tanaka
- Department of Physical Medicine and Rehabilitation, Kansai Medical University Hirakata Hospital, Shinmachi 2-3-1, Hirakata City, Osaka, 573-1191, Japan.,Department of Physical Medicine and Rehabilitation, Kansai Medical University, Shinmachi 2-5-1, Hirakata City, Osaka, 573-1010, Japan
| | - Shinya Douchi
- Department of Rehabilitation, National Hospital Organization Kinki-chuo Chest Medical Center, 1180 Nagasone-Town, Kita-ku, Sakai, Osaka, 591-8025, Japan
| | - Kyota Bando
- National Center of Neurology and Psychiatry, National Center Hospital, Kodaira, 187-0031, Japan
| | - Kengo Tsujimoto
- National Center of Neurology and Psychiatry, National Center Hospital, Kodaira, 187-0031, Japan
| | - Takeru Honda
- Basic Technology Research Center, Tokyo Metropolitan Institute of Medical Science, 2-1-6 Kamikitazawa, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Yutaka Kikuchi
- Department of Rehabilitation for Intractable Neurological Disorders, Institute of Brain and Blood Vessels, Mihara Memorial Hospital, Ohtamachi366, Isesaki City, Gunma, 372-0006, Japan
| | - Yuto Shimizu
- Department of Rehabilitation for Intractable Neurological Disorders, Institute of Brain and Blood Vessels, Mihara Memorial Hospital, Ohtamachi366, Isesaki City, Gunma, 372-0006, Japan
| | - Masato Odagaki
- Maebashi Institute of Technology, Maebashi, Gunma Prefecture, Japan
| | - Hideki Nakano
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Yohei Okada
- Neurorehabilitation Research Center of Kio University, Nara, Koryo-cho, Kitakatsuragi-gun, 635-0832, Japan
| | - Nobuhiko Mori
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita City, Osaka, 565-0871, Japan
| | - Koichi Hosomi
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Yamadaoka 2-2, Suita City, Osaka, 565-0871, Japan
| | - Youichi Saitoh
- Department of Mechanical Science and Bioengineering, Osaka University Graduate School of Engineering Science, Machikaneyama 1-3, Toyonaka City, Osaka, 560-8531, Japan.,Tokuyukai Rehabilitation Clinic, Shinsenrinishimachi 2-24-18, Toyonaka City, Osaka, 560-0083, Japan
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17
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Lin YC, Lien YR, Lin SHN, Kung YC, Huang CC, Lin CP, Chang LH. Baseline Cerebro-Cerebellar Functional Connectivity in Afferent and Efferent Pathways Reveal Dissociable Improvements in Visuomotor Learning. Front Neurosci 2022; 16:904564. [PMID: 35720694 PMCID: PMC9204583 DOI: 10.3389/fnins.2022.904564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 05/05/2022] [Indexed: 11/16/2022] Open
Abstract
Visuomotor coordination is a complex process involving several brain regions, primarily the cerebellum and motor cortex. Studies have shown inconsistent resting-state functional magnetic resonance imaging (rsfMRI) results in the cerebellar cortex and dentate nucleus of the cerebro-cerebellar connections. Echoing anatomical pathways, these two different cerebellar regions are differentially responsible for afferent and efferent cerebro-cerebellar functional connections. The aim of this study was to measure the baseline resting-state functional connectivity of different cerebellar afferent and efferent pathways and to investigate their relationship to visuomotor learning abilities. We used different cerebellar repetitive transcranial magnetic stimulation (rTMS) frequencies before a pursuit rotor task to influence visuomotor performance. Thirty-eight right-handed participants were included and randomly assigned to three different rTMS frequency groups (1 Hz, 10 Hz and sham) and underwent baseline rsfMRI and pursuit rotor task assessments. We report that greater baseline functional connectivity in the afferent cerebro-cerebellar pathways was associated with greater accuracy improvements. Interestingly, lower baseline functional connectivity in the efferent dentato-thalamo-cortical pathways was associated with greater stability in visuomotor performance, possibly associated with the inhibitory role of the dentate nucleus and caused a reduction in the efferent functional connectivity. The functional dissociation of the cerebellar cortex and dentate nucleus and their connections, suggests that distinct mechanisms in the cerebellum regarding visuomotor learning, which should be investigated in future research.
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Affiliation(s)
- Yi-Cheng Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Taipei Municipal Gan-Dau Hospital, Taipei, Taiwan
| | - Yun R Lien
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Shang-Hua N Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yi-Chia Kung
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chu-Chung Huang
- Institute of Brain and Education Innovation, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.,Shanghai Center for Brain Science and Brain-Inspired Technology, Shanghai, China
| | - Ching-Po Lin
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Li-Hung Chang
- Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Institute of Philosophy of Mind and Cognition, National Yang Ming Chiao Tung University, Taipei, Taiwan
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18
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Mental practice modulates functional connectivity between the cerebellum and the primary motor cortex. iScience 2022; 25:104397. [PMID: 35637729 PMCID: PMC9142644 DOI: 10.1016/j.isci.2022.104397] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/21/2022] [Accepted: 05/09/2022] [Indexed: 01/07/2023] Open
Abstract
Our brain has the extraordinary capacity to improve motor skills through mental practice. Conceptually, this ability is attributed to internal forward models, which are cerebellar neural networks that can predict the sensory consequences of motor commands. In our study, we employed single and dual-coil transcranial magnetic stimulations to probe the level of corticospinal excitability and cerebellar-brain inhibition, respectively, before and after a mental practice session or a control session. Motor skill (i.e., accuracy and speed) was measured using a sequential finger tapping-task. We found that mental practice enhanced both speed and accuracy. In parallel, the functional connectivity between the cerebellum and the primary motor cortex changed, with less inhibition from the first to the second. These findings reveal the existence of neuroplastic changes within the cerebellum, supporting the involvement of internal models after mental practice. The update of internal forward models involves cerebellar neural adaptations Mental practice is assumed to engage internal forward models Cerebellar-brain Inhibition was probed by TMS before and after mental practice Mental practice reduces Cerebellar-brain Inhibition and may update internal models
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19
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Mitoma H, Yamaguchi K, Honnorat J, Manto M. The Clinical Concept of LTDpathy: Is Dysregulated LTD Responsible for Prodromal Cerebellar Symptoms? Brain Sci 2022; 12:brainsci12030303. [PMID: 35326260 PMCID: PMC8946597 DOI: 10.3390/brainsci12030303] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 02/21/2022] [Accepted: 02/21/2022] [Indexed: 12/10/2022] Open
Abstract
Long-term depression at parallel fibers-Purkinje cells (PF-PC LTD) is essential for cerebellar motor learning and motor control. Recent progress in ataxiology has identified dysregulation of PF-PC LTD in the pathophysiology of certain types of immune-mediated cerebellar ataxias (IMCAs). Auto-antibodies towards voltage-gated Ca channel (VGCC), metabotropic glutamate receptor type 1 (mGluR1), and glutamate receptor delta (GluR delta) induce dysfunction of PF-PC LTD, resulting in the development of cerebellar ataxias (CAs). These disorders show a good response to immunotherapies in non-paraneoplastic conditions but are sometimes followed by cell death in paraneoplastic conditions. On the other hand, in some types of spinocerebellar ataxia (SCA), dysfunction in PF-PC LTD, and impairments of PF-PC LTD-related adaptive behaviors (including vestibulo-ocular reflex (VOR) and prism adaptation) appear during the prodromal stage, well before the manifestations of obvious CAs and cerebellar atrophy. Based on these findings and taking into account the findings of animal studies, we re-assessed the clinical concept of LTDpathy. LTDpathy can be defined as a clinical spectrum comprising etiologies associated with a functional disturbance of PF-PC LTD with concomitant impairment of related adaptative behaviors, including VOR, blink reflex, and prism adaptation. In IMCAs or degenerative CAs characterized by persistent impairment of a wide range of molecular mechanisms, these disorders are initially functional and are followed subsequently by degenerative cell processes. In such cases, adaptive disorders associated with PF-PC LTD manifest clinically with subtle symptoms and can be prodromal. Our hypothesis underlines for the first time a potential role of LTD dysfunction in the pathogenesis of the prodromal symptoms of CAs. This hypothesis opens perspectives to block the course of CAs at a very early stage.
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Affiliation(s)
- Hiroshi Mitoma
- Department of Medical Education, Tokyo Medical University, Tokyo 160-0023, Japan
- Correspondence: Japan;
| | - Kazuhiko Yamaguchi
- Department of Ultrastructural Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8511, Japan;
| | - Jerome Honnorat
- French Reference Center on Paraneoplastic Neurological Syndromes, Hospices Civils de Lyon, Hôpital Neurologique, 69677 Bron, France;
- Institut MeLis INSERM U1314/CNRS UMR 5284, Université de Lyon, Université Claude Bernard Lyon 1, 69372 Lyon, France
| | - Mario Manto
- Unité des Ataxies Cérébelleuses, Service de Neurologie, Médiathèque Jean Jacquy, CHU-Charleroi, 6000 Charleroi, Belgium;
- Service des Neurosciences, University of Mons, 7000 Mons, Belgium
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20
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Two-Photon Laser Ablation and In Vivo Wide-Field Imaging of Inferior Olive Neurons Revealed the Recovery of Olivocerebellar Circuits in Zebrafish. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18168357. [PMID: 34444107 PMCID: PMC8391264 DOI: 10.3390/ijerph18168357] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 07/15/2021] [Accepted: 07/19/2021] [Indexed: 11/17/2022]
Abstract
The cerebellum, a brain region with a high degree of plasticity, is pivotal in motor control, learning, and cognition. The cerebellar reserve is the capacity of the cerebellum to respond and adapt to various disorders via resilience and reversibility. Although structural and functional recovery has been reported in mammals and has attracted attention regarding treatments for cerebellar dysfunction, such as spinocerebellar degeneration, the regulatory mechanisms of the cerebellar reserve are largely unidentified, particularly at the circuit level. Herein, we established an optical approach using zebrafish, an ideal vertebrate model in optical techniques, neuroscience, and developmental biology. By combining two-photon laser ablation of the inferior olive (IO) and long-term non-invasive imaging of "the whole brain" at a single-cell resolution, we succeeded in visualization of the morphological changes occurring in the IO neuron population and showed at a single-cell level that structural remodeling of the olivocerebellar circuit occurred in a relatively short period. This system, in combination with various functional analyses, represents a novel and powerful approach for uncovering the mechanisms of the cerebellar reserve, and highlights the potential of the zebrafish model to elucidate the organizing principles of neuronal circuits and their homeostasis in health and disease.
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21
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Koppelaar H, Kordestani-Moghadam P, Kouhkani S, Irandoust F, Segers G, de Haas L, Bantje T, van Warmerdam M. Proof of Concept of Novel Visuo-Spatial-Motor Fall Prevention Training for Old People. Geriatrics (Basel) 2021; 6:66. [PMID: 34210015 PMCID: PMC8293049 DOI: 10.3390/geriatrics6030066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 06/13/2021] [Accepted: 06/22/2021] [Indexed: 11/16/2022] Open
Abstract
Falls in the geriatric population are one of the most important causes of disabilities in this age group. Its consequences impose a great deal of economic burden on health and insurance systems. This study was conducted by a multidisciplinary team with the aim of evaluating the effect of visuo-spatial-motor training for the prevention of falls in older adults. The subjects consisted of 31 volunteers aged 60 to 92 years who were studied in three groups: (1) A group under standard physical training, (2) a group under visuo-spatial-motor interventions, and (3) a control group (without any intervention). The results of the study showed that visual-spatial motor exercises significantly reduced the risk of falls of the subjects.
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Affiliation(s)
- Henk Koppelaar
- Faculty of Electric and Electronic Engineering, Mathematics and Computer Science, Delft University of Technology, 2628 CD Delft, The Netherlands
| | | | - Sareh Kouhkani
- Department of Mathematics, Islamic University Shabestar Branch, Shabestar, Iran;
| | - Farnoosh Irandoust
- Department of Ophtalmology, Lorestan University of Medical Sciences, Korramabad, Iran;
| | - Gijs Segers
- Gymi Sports & Visual Performance, 4907 BC Oosterhout, The Netherlands;
| | - Lonneke de Haas
- Monné Physical Care and Exercise, 4815 HD Breda, The Netherlands; (L.d.H.); (T.B.)
| | - Thijmen Bantje
- Monné Physical Care and Exercise, 4815 HD Breda, The Netherlands; (L.d.H.); (T.B.)
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22
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Zahra O, Navarro-Alarcon D, Tolu S. A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a Spiking Cerebellar Model and a Robot Arm During Vision-Based Manipulation Tasks. Int J Neural Syst 2021; 32:2150028. [PMID: 34003083 DOI: 10.1142/s0129065721500283] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
While the original goal for developing robots is replacing humans in dangerous and tedious tasks, the final target shall be completely mimicking the human cognitive and motor behavior. Hence, building detailed computational models for the human brain is one of the reasonable ways to attain this. The cerebellum is one of the key players in our neural system to guarantee dexterous manipulation and coordinated movements as concluded from lesions in that region. Studies suggest that it acts as a forward model providing anticipatory corrections for the sensory signals based on observed discrepancies from the reference values. While most studies consider providing the teaching signal as error in joint-space, few studies consider the error in task-space and even fewer consider the spiking nature of the cerebellum on the cellular-level. In this study, a detailed cellular-level forward cerebellar model is developed, including modeling of Golgi and Basket cells which are usually neglected in previous studies. To preserve the biological features of the cerebellum in the developed model, a hyperparameter optimization method tunes the network accordingly. The efficiency and biological plausibility of the proposed cerebellar-based controller is then demonstrated under different robotic manipulation tasks reproducing motor behavior observed in human reaching experiments.
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Affiliation(s)
- Omar Zahra
- The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | | | - Silvia Tolu
- Technical University of Denmark, Kongens Lyngby, Denmark
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23
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Chen ML, Lin CC, Rosenthal LS, Opal P, Kuo SH. Rating scales and biomarkers for CAG-repeat spinocerebellar ataxias: Implications for therapy development. J Neurol Sci 2021; 424:117417. [PMID: 33836316 DOI: 10.1016/j.jns.2021.117417] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 02/26/2021] [Accepted: 03/23/2021] [Indexed: 01/18/2023]
Abstract
Spinocerebellar ataxias (SCAs) are a group of dominantly-inherited cerebellar ataxias, among which CAG expansion-related SCAs are most common. These diseases have very high penetrance with defined disease progression, and emerging therapies are being developed to provide either symptomatic or disease-modifying benefits. In clinical trial design, it is crucial to incorporate biomarkers to test target engagement or track disease progression in response to therapies, especially in rare diseases such as SCAs. In this article, we review the available rating scales and recent advances of biomarkers in CAG-repeat SCAs. We divided biomarkers into neuroimaging, body fluid, and physiological studies. Understanding the utility of each biomarker will facilitate the design of robust clinical trials to advance therapies for SCAs.
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Affiliation(s)
- Meng-Ling Chen
- Department of Neurology, Columbia University, New York, NY, USA; Initiative for Columbia Ataxia and Tremor, Columbia University, New York, NY, USA
| | - Chih-Chun Lin
- Department of Neurology, Columbia University, New York, NY, USA; Initiative for Columbia Ataxia and Tremor, Columbia University, New York, NY, USA
| | - Liana S Rosenthal
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Puneet Opal
- Davee Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Cellular and Molecular Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Sheng-Han Kuo
- Department of Neurology, Columbia University, New York, NY, USA; Initiative for Columbia Ataxia and Tremor, Columbia University, New York, NY, USA.
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Patil AU, Madathil D, Huang CM. Healthy Aging Alters the Functional Connectivity of Creative Cognition in the Default Mode Network and Cerebellar Network. Front Aging Neurosci 2021; 13:607988. [PMID: 33679372 PMCID: PMC7929978 DOI: 10.3389/fnagi.2021.607988] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 01/19/2021] [Indexed: 02/06/2023] Open
Abstract
Creativity is a higher-order neurocognitive process that produces unusual and unique thoughts. Behavioral and neuroimaging studies of younger adults have revealed that creative performance is the product of dynamic and spontaneous processes involving multiple cognitive functions and interactions between large-scale brain networks, including the default mode network (DMN), fronto-parietal executive control network (ECN), and salience network (SN). In this resting-state functional magnetic resonance imaging (rs-fMRI) study, group independent component analysis (group-ICA) and resting state functional connectivity (RSFC) measures were applied to examine whether and how various functional connected networks of the creative brain, particularly the default-executive and cerebro-cerebellar networks, are altered with advancing age. The group-ICA approach identified 11 major brain networks across age groups that reflected age-invariant resting-state networks. Compared with older adults, younger adults exhibited more specific and widespread dorsal network and sensorimotor network connectivity within and between the DMN, fronto-parietal ECN, and visual, auditory, and cerebellar networks associated with creativity. This outcome suggests age-specific changes in the functional connected network, particularly in the default-executive and cerebro-cerebellar networks. Our connectivity data further elucidate the critical roles of the cerebellum and cerebro-cerebellar connectivity in creativity in older adults. Furthermore, our findings provide evidence supporting the default-executive coupling hypothesis of aging and novel insights into the interactions of cerebro-cerebellar networks with creative cognition in older adults, which suggest alterations in the cognitive processes of the creative aging brain.
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Affiliation(s)
- Abhishek Uday Patil
- Department of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.,Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
| | - Deepa Madathil
- Department of Sensor and Biomedical Technology, School of Electronics Engineering, Vellore Institute of Technology, Vellore, India
| | - Chih-Mao Huang
- Department of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.,Center for Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Chiao Tung University, Hsinchu, Taiwan.,Cognitive Neuroscience Laboratory, Institute of Linguistics, Academia Sinica, Taipei, Taiwan
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25
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Takamuku S, Ohta H, Kanai C, de C Hamilton AF, Gomi H. Seeing motion of controlled object improves grip timing in adults with autism spectrum condition: evidence for use of inverse dynamics in motor control. Exp Brain Res 2021; 239:1047-1059. [PMID: 33528597 DOI: 10.1007/s00221-021-06046-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 01/18/2021] [Indexed: 11/28/2022]
Abstract
Previous studies (Haswell et al. in Nat Neurosci 12:970-972, 2009; Marko et al. in Brain J Neurol 138:784-797, 2015) reported that people with autism rely less on vision for learning to reach in a force field. This suggested a possibility that they have difficulties in extracting force information from visual motion signals, a process called inverse dynamics computation. Our recent study (Takamuku et al. in J Int Soc Autism Res 11:1062-1075, 2018) examined the ability of inverse computation with two perceptual tasks and found similar performances in typical and autistic adults. However, this tested the computation only in the context of sensory perception while it was possible that the suspected disability is specific to the motor domain. Here, in order to address the concern, we tested the use of inverse dynamics computation in the context of motor control by measuring changes in grip timing caused by seeing/not seeing a controlled object. The motion of the object was informative of its inertial force and typical participants improved their grip timing based on the visual feedback. Our interest was on whether the autism participants show the same improvement. While some autism participants showed atypical hand slowing when seeing the controlled object, we found no evidence of abnormalities in the inverse computation in our grip timing task or in a replication of the perceptual task. This suggests that the ability of inverse dynamics computation is preserved not only for sensory perception but also for motor control in adults with autism.
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Affiliation(s)
- Shinya Takamuku
- NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan.
| | - Haruhisa Ohta
- Medical Institute of Developmental Disabilities Research, Showa University, Setagaya-ku, Tokyo, Japan
| | - Chieko Kanai
- Medical Institute of Developmental Disabilities Research, Showa University, Setagaya-ku, Tokyo, Japan.,Department of Child Development and Education, Wayo Women's University, Ichikawa, Chiba, Japan
| | | | - Hiroaki Gomi
- NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Atsugi, Kanagawa, Japan
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26
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Wilson ED, Assaf T, Rossiter JM, Dean P, Porrill J, Anderson SR, Pearson MJ. A multizone cerebellar chip for bioinspired adaptive robot control and sensorimotor processing. J R Soc Interface 2021; 18:20200750. [PMID: 33499769 DOI: 10.1098/rsif.2020.0750] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The cerebellum is a neural structure essential for learning, which is connected via multiple zones to many different regions of the brain, and is thought to improve human performance in a large range of sensory, motor and even cognitive processing tasks. An intriguing possibility for the control of complex robotic systems would be to develop an artificial cerebellar chip with multiple zones that could be similarly connected to a variety of subsystems to optimize performance. The novel aim of this paper, therefore, is to propose and investigate a multizone cerebellar chip applied to a range of tasks in robot adaptive control and sensorimotor processing. The multizone cerebellar chip was evaluated using a custom robotic platform consisting of an array of tactile sensors driven by dielectric electroactive polymers mounted upon a standard industrial robot arm. The results demonstrate that the performance in each task was improved by the concurrent, stable learning in each cerebellar zone. This paper, therefore, provides the first empirical demonstration that a synthetic, multizone, cerebellar chip could be embodied within existing robotic systems to improve performance in a diverse range of tasks, much like the cerebellum in a biological system.
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Affiliation(s)
- Emma D Wilson
- Lancaster University, School of Computing and Communications, Lancaster, UK
| | - Tareq Assaf
- University of Bath, Department of Electronic and Electrical Engineering, Bath, UK
| | | | - Paul Dean
- University of Sheffield, Department of Psychology, Sheffield, UK
| | - John Porrill
- University of Sheffield, Department of Psychology, Sheffield, UK
| | - Sean R Anderson
- University of Sheffield, Department of Automatic Control and Systems Engineering, Sheffield, UK
| | - Martin J Pearson
- University of the West of England, Bristol Robotics Laboratory, Bristol, UK
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27
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Dellatolas G, Câmara-Costa H. The role of cerebellum in the child neuropsychological functioning. HANDBOOK OF CLINICAL NEUROLOGY 2020; 173:265-304. [PMID: 32958180 DOI: 10.1016/b978-0-444-64150-2.00023-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
This chapter proposes a review of neuropsychologic and behavior findings in pediatric pathologies of the cerebellum, including cerebellar malformations, pediatric ataxias, cerebellar tumors, and other acquired cerebellar injuries during childhood. The chapter also contains reviews of the cerebellar mutism/posterior fossa syndrome, reported cognitive associations with the development of the cerebellum in typically developing children and subjects born preterm, and the role of the cerebellum in neurodevelopmental disorders such as autism spectrum disorders and developmental dyslexia. Cognitive findings in pediatric cerebellar disorders are considered in the context of known cerebellocerebral connections, internal cellular organization of the cerebellum, the idea of a universal cerebellar transform and computational internal models, and the role of the cerebellum in specific cognitive and motor functions, such as working memory, language, timing, or control of eye movements. The chapter closes with a discussion of the strengths and weaknesses of the cognitive affective syndrome as it has been described in children and some conclusions and perspectives.
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Affiliation(s)
- Georges Dellatolas
- GRC 24, Handicap Moteur et Cognitif et Réadaptation, Sorbonne Université, Paris, France.
| | - Hugo Câmara-Costa
- GRC 24, Handicap Moteur et Cognitif et Réadaptation, Sorbonne Université, Paris, France; Centre d'Etudes en Santé des Populations, INSERM U1018, Paris, France
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Kelley CR, Kauffman JL. Optimal Control Perspective on Parkinson's Disease: Increased Delay Between State Estimator and Controller Produces Tremor. IEEE Trans Neural Syst Rehabil Eng 2020; 28:2144-2152. [PMID: 32822299 DOI: 10.1109/tnsre.2020.3018626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Parkinson's disease produces tremor in a large subset of patients despite generally inhibiting movement. The pathophysiology of parkinsonian tremor is unclear, leading to uncertainty in how and why treatments reduce tremor with varying effectiveness. Models for parkinsonian tremor attempt to explain the underlying principles of tremor generation in the central nervous system, often focusing on neural activity of specific substructures. In contrast, control system approaches to modeling the human motor system provide qualitative results that help inform conclusions from clinical studies. This article uses an optimal control approach to investigate the hypothesis that an increased delay in the central nervous system-unaccounted by delay compensation mechanisms-produces parkinsonian tremor. This hypothesis is motivated by the excessive inhibition projected from the basal ganglia to the thalamus in Parkinson's disease. The thalamus relays signals from the cerebellum to the primary motor cortex: previous mapping of optimal control components indicates this prospective delay exists between the estimator (cerebellum) and controller (primary motor cortex). Simulations demonstrate realistic tremor in a neuromuscular model of the wrist. In addition, changes to effort sensitivity in the optimal controller may account for some clinical features of parkinsonian tremor, including the characteristics of re-emergent tremor and the time-varying amplitude and frequency of tremor. Contextualization of the optimal control model with physiological models and clinical observations provides insight into the potential role of the basal ganglia and cerebello-thalamo-cortical circuit and how treatments like dopaminergic medications and deep brain stimulation reduce tremor.
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29
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Nagao S. Ocular Reflex Adaptation as an Experimental Model of Cerebellar Learning -- In Memory of Masao Ito -. Neuroscience 2020; 462:191-204. [PMID: 32710914 DOI: 10.1016/j.neuroscience.2020.07.021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 06/27/2020] [Accepted: 07/13/2020] [Indexed: 01/26/2023]
Abstract
Masao Ito proposed a cerebellar learning hypothesis with Marr and Albus in the early 1970s. He suggested that cerebellar flocculus (FL) Purkinje cells (PCs), which directly inhibit the vestibular nuclear neurons driving extraocular muscle motor neurons, adaptively control the horizontal vestibulo-ocular reflex (HVOR) through the modification of mossy and parallel fiber-mediated vestibular responsiveness by visual climbing fiber (CF) inputs. Later, it was suggested that the same FL PCs adaptively control the horizontal optokinetic response (HOKR) in the same manner through the modification of optokinetic responsiveness in rodents and rabbits. In 1982, Ito and his colleagues discovered the plasticity of long-term depression (LTD) at parallel fiber (PF)-PC synapses after conjunctive stimulation of mossy or parallel fibers with CFs. Long-term potentiation (LTP) at PF-PC synapses by weak PF stimulation alone was found later. Many lines of experimental evidence have supported their hypothesis using various experimental methods and materials for the past 50 years by many research groups. Although several controversial findings were presented regarding their hypothesis, the reasons underlying many of them were clarified. Today, their hypothesis is considered as a fundamental mechanism of cerebellar learning. Furthermore, it was found that the memory of adaptation is transferred from the FL to vestibular nuclei for consolidation by repetition of adaptation through the plasticity of vestibular nuclear neurons. In this article, after overviewing their cerebellar learning hypothesis, I discuss possible roles of LTD and LTP in gain-up and gain-down HVOR/HOKR adaptations and refer to the expansion of their hypothesis to cognitive functions.
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Affiliation(s)
- Soichi Nagao
- Laboratory for Integrative Brain Function, Nozomi Hospital, Komuro 3170, Ina, Kitaadachi-gun, Saitama 362-0806, Japan; Laboratory for Memory Neuroscience, Tokyo Metropolotan Institute for Gerontology, Sakae-cho, Itabashi-ku, Tokyo 173-0015, Japan.
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30
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Kawato M, Ohmae S, Hoang H, Sanger T. 50 Years Since the Marr, Ito, and Albus Models of the Cerebellum. Neuroscience 2020; 462:151-174. [PMID: 32599123 DOI: 10.1016/j.neuroscience.2020.06.019] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/10/2020] [Accepted: 06/15/2020] [Indexed: 12/18/2022]
Abstract
Fifty years have passed since David Marr, Masao Ito, and James Albus proposed seminal models of cerebellar functions. These models share the essential concept that parallel-fiber-Purkinje-cell synapses undergo plastic changes, guided by climbing-fiber activities during sensorimotor learning. However, they differ in several important respects, including holistic versus complementary roles of the cerebellum, pattern recognition versus control as computational objectives, potentiation versus depression of synaptic plasticity, teaching signals versus error signals transmitted by climbing-fibers, sparse expansion coding by granule cells, and cerebellar internal models. In this review, we evaluate different features of the three models based on recent computational and experimental studies. While acknowledging that the three models have greatly advanced our understanding of cerebellar control mechanisms in eye movements and classical conditioning, we propose a new direction for computational frameworks of the cerebellum, that is, hierarchical reinforcement learning with multiple internal models.
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Affiliation(s)
- Mitsuo Kawato
- Brain Information Communication Research Group, Advanced Telecommunications Research Institutes International (ATR), Hikaridai 2-2-2, "Keihanna Science City", Kyoto 619-0288, Japan; Center for Advanced Intelligence Project (AIP), RIKEN, Nihonbashi Mitsui Building, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan.
| | - Shogo Ohmae
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas, USA
| | - Huu Hoang
- Brain Information Communication Research Group, Advanced Telecommunications Research Institutes International (ATR), Hikaridai 2-2-2, "Keihanna Science City", Kyoto 619-0288, Japan
| | - Terry Sanger
- Department of Electrical Engineering, University of California, Irvine, 4207 Engineering Hall, Irvine CA 92697-2625, USA; Children's Hospital of Orange County, 1201 W La Veta Ave, Orange, CA 92868, USA.
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31
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Lin YC, Hsu CCH, Wang PN, Lin CP, Chang LH. The Relationship Between Zebrin Expression and Cerebellar Functions: Insights From Neuroimaging Studies. Front Neurol 2020; 11:315. [PMID: 32390933 PMCID: PMC7189018 DOI: 10.3389/fneur.2020.00315] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Accepted: 03/31/2020] [Indexed: 12/26/2022] Open
Abstract
The cerebellum has long been known to play an important role in motor and balance control, and accumulating evidence has revealed that it is also involved in multiple cognitive functions. However, the evidence from neuroimaging studies and clinical observations is not well-integrated at the anatomical or molecular level. The goal of this review is to summarize and link different aspects of the cerebellum, including molecular patterning, functional topography images, and clinical cerebellar disorders. More specifically, we explored the potential relationships between the cerebrocerebellar connections and the expression of particular molecules and, in particular, zebrin stripe (a Purkinje cell-specific antibody molecular marker, which is a glycolytic enzyme expressed in cerebellar Purkinje cells). We hypothesized that the zebrin patterns contribute to cerebellar functional maps—especially when cerebrocerebellar circuit changes exist in cerebellar-related diseases. The zebrin stripe receives input from climbing fibers and project to different parts of the cerebral cortex through its cerebrocerebellar connection. Since zebrin-positive cerebellar Purkinje cells are resistant to excitotoxicity and cell injury while zebrin-negative zones are more prone to damage, we suggest that motor control dysfunction symptoms such as ataxia and dysmetria present earlier and are easier to observe than non-ataxia symptoms due to zebrin-negative cell damage by cerebrocerebellar connections. In summary, we emphasize that the molecular zebrin patterns provide the basis for a new viewpoint from which to investigate cerebellar functions and clinico-neuroanatomic correlations.
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Affiliation(s)
- Yi-Cheng Lin
- Taipei Municipal Gan-Dau Hospital, Taipei, Taiwan.,Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan.,Institute of Neuroscience, School of Life Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Chih-Chin Heather Hsu
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Pei-Ning Wang
- Department of Neurology, Taipei Veterans General Hospital, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
| | - Ching-Po Lin
- Institute of Neuroscience, School of Life Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Li-Hung Chang
- Institute of Neuroscience, School of Life Sciences, National Yang-Ming University, Taipei, Taiwan.,Education Center for Humanities and Social Sciences, School of Humanities and Social Sciences, National Yang-Ming University, Taipei, Taiwan
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32
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Honda T, Mitoma H, Yoshida H, Bando K, Terashi H, Taguchi T, Miyata Y, Kumada S, Hanakawa T, Aizawa H, Yano S, Kondo T, Mizusawa H, Manto M, Kakei S. Assessment and Rating of Motor Cerebellar Ataxias With the Kinect v2 Depth Sensor: Extending Our Appraisal. Front Neurol 2020; 11:179. [PMID: 32218767 PMCID: PMC7078683 DOI: 10.3389/fneur.2020.00179] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 02/24/2020] [Indexed: 11/13/2022] Open
Abstract
Current assessment of patients with cerebellar disorders is based on conventional neurological examination that is dependent on subjective judgements. Quantitative measurement of cerebellar ataxias (CAs) is essential for assessment of evidence-based treatments and the monitoring of the progress or recovery of diseases. It may provide us a useful tool to navigate future treatments for ataxia. We developed a Kinect v2. sensor system with a novel algorithm to measure and evaluate movements for two tests of Scale for the Assessment and Rating of Ataxia (SARA): the nose-finger test and gait. For the nose-finger test, we evaluated and compared accuracy, regularities and smoothness in the movements of the index finger and the proximal limbs between cerebellar patients and control subjects. For the task of walking, we evaluated and compared stability between the two groups. The precision of the system for evaluation of movements was smaller than 2 mm. For the nose-finger test, the mildly affected patients tended to show more instability than the control subjects. For a severely affected patient, our system quantified the instability of movements of the index finger using kinematic parameters, such as fluctuations and average speed. The average speed appears to be the most sensitive parameter that contrasts between patients with CAs and control subjects. Furthermore, our system also detected the adventitious movements of more proximal body parts, such as the elbow, shoulder and head. Assessment of walking was possible only in patients with mild CAs. They demonstrated large sways and compensatory wide stances. These parameters appeared to show higher accuracy than SARA. This examiner-independent device measures movements of the points of interest of SARA more accurately than eye and further provides additional information about the ataxic movements (e.g., the adventitious movements of the elbow, shoulder and head in the nose-finger test and the wide-based walking with large oscillation in the gait task), which is out of the scope of SARA. Our new system enables more accurate scoring of SARA and further provides additional information that is not currently evaluated with SARA. Therefore, it provides an easier, more accurate and more systematic description of CAs.
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Affiliation(s)
- Takeru Honda
- Movement Disorders Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.,Department of Advanced Neuroimaging, Integrative Brain Imaging Center (IBIC), National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Hiroshi Mitoma
- Medical Education Promotion Center, Tokyo Medical University, Tokyo, Japan
| | - Hirotaka Yoshida
- Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, Tokyo, Japan
| | - Kyota Bando
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center (IBIC), National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Hiroo Terashi
- Department of Neurology, Tokyo Medical University, Tokyo, Japan
| | - Takeshi Taguchi
- Department of Neurology, Tokyo Medical University, Tokyo, Japan
| | - Yohane Miyata
- Department of Neuropediatrics, Tokyo Metropolitan Neurological Hospital, Tokyo, Japan
| | - Satoko Kumada
- Department of Neuropediatrics, Tokyo Metropolitan Neurological Hospital, Tokyo, Japan
| | - Takashi Hanakawa
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center (IBIC), National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Hitoshi Aizawa
- Department of Neurology, Tokyo Medical University, Tokyo, Japan
| | - Shiro Yano
- Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, Tokyo, Japan
| | - Toshiyuki Kondo
- Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology, Tokyo, Japan
| | - Hidehiro Mizusawa
- National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Mario Manto
- Department of Neurosciences, University of Mons, Mons, Belgium
| | - Shinji Kakei
- Movement Disorders Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
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33
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Capolei MC, Andersen NA, Lund HH, Falotico E, Tolu S. A Cerebellar Internal Models Control Architecture for Online Sensorimotor Adaptation of a Humanoid Robot Acting in a Dynamic Environment. IEEE Robot Autom Lett 2020. [DOI: 10.1109/lra.2019.2943818] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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34
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Burgess JD, Major BP, McNeel C, Clark GM, Lum JAG, Enticott PG. Learning to Expect: Predicting Sounds During Movement Is Related to Sensorimotor Association During Listening. Front Hum Neurosci 2019; 13:215. [PMID: 31333431 PMCID: PMC6624421 DOI: 10.3389/fnhum.2019.00215] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 06/11/2019] [Indexed: 11/13/2022] Open
Abstract
Sensory experiences, such as sound, often result from our motor actions. Over time, repeated sound-producing performance can generate sensorimotor associations. However, it is not clear how sensory and motor information are associated. Here, we explore if sensory prediction is associated with the formation of sensorimotor associations during a learning task. We recorded event-related potentials (ERPs) while participants produced index and little finger-swipes on a bespoke device, generating novel sounds. ERPs were also obtained as participants heard those sounds played back. Peak suppression was compared to assess sensory prediction. Additionally, transcranial magnetic stimulation (TMS) was used during listening to generate finger-motor evoked potentials (MEPs). MEPs were recorded before and after training upon hearing these sounds, and then compared to reveal sensorimotor associations. Finally, we explored the relationship between these components. Results demonstrated that an increased positive-going peak (e.g., P2) and a suppressed negative-going peak (e.g., N2) were recorded during action, revealing some sensory prediction outcomes (P2: p = 0.050, ηp2 = 0.208; N2: p = 0.001, ηp2 = 0.474). Increased MEPs were also observed upon hearing congruent sounds compared with incongruent sounds (i.e., associated to a finger), demonstrating precise sensorimotor associations that were not present before learning (Index finger: p < 0.001, ηp2 = 0.614; Little finger: p < 0.001, ηp2 = 0.529). Consistent with our broad hypotheses, a negative association between the MEPs in one finger during listening and ERPs during performance of the other was observed (Index finger MEPs and Fz N1 action ERPs; r = −0.655, p = 0.003). Overall, data suggest that predictive mechanisms are associated with the fine-tuning of sensorimotor associations.
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Affiliation(s)
- Jed D Burgess
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia
| | - Brendan P Major
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia
| | - Claire McNeel
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia
| | - Gillian M Clark
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia
| | - Jarrad A G Lum
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia
| | - Peter G Enticott
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia
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35
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Handedness Matters for Motor Control But Not for Prediction. eNeuro 2019; 6:ENEURO.0136-19.2019. [PMID: 31138661 PMCID: PMC6557034 DOI: 10.1523/eneuro.0136-19.2019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 05/11/2019] [Accepted: 05/15/2019] [Indexed: 12/15/2022] Open
Abstract
Skilled motor behavior relies on the ability to control the body and to predict the sensory consequences of this control. Although there is ample evidence that manual dexterity depends on handedness, it remains unclear whether control and prediction are similarly impacted. To address this issue, right-handed human participants performed two tasks with either the right or the left hand. In the first task, participants had to move a cursor with their hand so as to track a target that followed a quasi-random trajectory. This hand-tracking task allowed testing the ability to control the hand along an imposed trajectory. In the second task, participants had to track with their eyes a target that was self-moved through voluntary hand motion. This eye-tracking task allowed testing the ability to predict the visual consequences of hand movements. As expected, results showed that hand tracking was more accurate with the right hand than with the left hand. In contrast, eye tracking was similar in terms of spatial and temporal gaze attributes whether the target was moved by the right or the left hand. Although these results extend previous evidence for different levels of control by the two hands, they show that the ability to predict the visual consequences of self-generated actions does not depend on handedness. We propose that the greater dexterity exhibited by the dominant hand in many motor tasks stems from advantages in control, not in prediction. Finally, these findings support the notion that prediction and control are distinct processes.
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Asymmetrical Relationship between Prediction and Control during Visuomotor Adaptation. eNeuro 2018; 5:eN-NWR-0280-18. [PMID: 30627629 PMCID: PMC6325531 DOI: 10.1523/eneuro.0280-18.2018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 10/24/2018] [Accepted: 10/25/2018] [Indexed: 11/23/2022] Open
Abstract
Current theories suggest that the ability to control the body and to predict its associated sensory consequences is key for skilled motor behavior. It is also suggested that these abilities need to be updated when the mapping between motor commands and sensory consequences is altered. Here we challenge this view by investigating the transfer of adaptation to rotated visual feedback between one task in which human participants had to control a cursor with their hand in order to track a moving target, and another in which they had to predict with their eyes the visual consequences of their hand movement on the cursor. Hand and eye tracking performances were evaluated respectively through cursor–target and eye–cursor distance. Results reveal a striking dissociation: although prior adaptation of hand tracking greatly facilitates eye tracking, the adaptation of eye tracking does not transfer to hand tracking. We conclude that although the update of control is associated with the update of prediction, prediction can be updated independently of control. To account for this pattern of results, we propose that task demands mediate the update of prediction and control. Although a joint update of prediction and control seemed mandatory for success in our hand tracking task, the update of control was only facultative for success in our eye tracking task. More generally, those results promote the view that prediction and control are mediated by separate neural processes and suggest that people can learn to predict movement consequences without necessarily promoting their ability to control these movements.
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