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Kim JH, Kapse K, Limperopoulos C, De Asis-Cruz J. Cerebellar volume and functional connectivity in neonates predicts social and emotional development in toddlers. Front Neurosci 2024; 18:1294527. [PMID: 38756409 PMCID: PMC11097671 DOI: 10.3389/fnins.2024.1294527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 04/19/2024] [Indexed: 05/18/2024] Open
Abstract
Over the past decade, a growing body of research in adults has emphasized the role of the cerebellum in social and emotional cognition. This has been further supported by findings of delayed social and emotional development in toddlers with cerebellar injury during the fetal and newborn periods. However, the contributions of the cerebellum to social-emotional development in typically developing newborns are unclear. To bridge this gap in knowledge, we used multimodal MRI to investigate associations between cerebellar structure and function in 88 healthy neonates (mean ± sd of postmenstrual age, = 42.00 ± 1.91 weeks) and social-emotional development at 18-months assessed using the Infant-Toddler Social-Emotional Assessment (ITSEA) (mean age on ITSEA: 18.32 ± 1.19 months old). We found that cerebellar volume was not associated with ITSEA domain scores at 18 months. We further demonstrated cerebellar functional gradient (FGR) defined using principal component analysis (PCA) was associated with Externalizing domain (linear regression model, false-discovery-rate-adjusted p = 0.013). This cluster (FGR7) included the left dentate, right VI, left Vermis VIIIb, and right V lobules. Finally, we demonstrated that either structural or functional features of the cerebellum reliably predicted scores on the Externalizing and Internalizing domains (correlation between actual and predicted scores: for structural, Fisher's z = 0.48 ± 0.01 for Internalizing, p = 0.01; for functional, Fisher's z = 0.45 ± 0.01 for Externalizing, p = 0.02; with permutation test). Collectively, our findings suggest that the cerebellum plays an important role in social-emotional development during the critical early stages of life.
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Espinosa F, Pop IV, Lai HC. Electrophysiological Properties of Proprioception-Related Neurons in the Intermediate Thoracolumbar Spinal Cord. eNeuro 2024; 11:ENEURO.0331-23.2024. [PMID: 38627062 PMCID: PMC11055654 DOI: 10.1523/eneuro.0331-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
Proprioception, the sense of limb and body position, is required to produce accurate and precise movements. Proprioceptive sensory neurons transmit muscle length and tension information to the spinal cord. The function of excitatory neurons in the intermediate spinal cord, which receive this proprioceptive information, remains poorly understood. Using genetic labeling strategies and patch-clamp techniques in acute spinal cord preparations in mice, we set out to uncover how two sets of spinal neurons, Clarke's column (CC) and Atoh1-lineage neurons, respond to electrical activity and how their inputs are organized. Both sets of neurons are located in close proximity in laminae V-VII of the thoracolumbar spinal cord and have been described to receive proprioceptive signals. We find that a majority of CC neurons have a tonic-firing type and express a distinctive hyperpolarization-activated current (Ih). Atoh1-lineage neurons, which cluster into two spatially distinct populations, are mostly a fading-firing type and display similar electrophysiological properties to each other, possibly due to their common developmental lineage. Finally, we find that CC neurons respond to stimulation of lumbar dorsal roots, consistent with prior knowledge that CC neurons receive hindlimb proprioceptive information. In contrast, using a combination of electrical stimulation, optogenetic stimulation, and transsynaptic rabies virus tracing, we find that Atoh1-lineage neurons receive heterogeneous, predominantly local thoracic inputs that include parvalbumin-lineage sensory afferents and local interneuron presynaptic inputs. Altogether, we find that CC and Atoh1-lineage neurons have distinct membrane properties and sensory input organization, representing different subcircuit modes of proprioceptive information processing.
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Affiliation(s)
- Felipe Espinosa
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, Texas 75390
| | - Iliodora V Pop
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, Texas 75390
| | - Helen C Lai
- Department of Neuroscience, UT Southwestern Medical Center, Dallas, Texas 75390
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3
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Triarhou LC, Manto M. Olov Oscarsson (1931-1996) of Lund University, a Pioneer in Cerebellar Neurobiology. CEREBELLUM (LONDON, ENGLAND) 2024; 23:279-283. [PMID: 36690830 PMCID: PMC10951007 DOI: 10.1007/s12311-023-01515-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The present Cerebellar Classic highlights the experimental work of the Swedish neurophysiologist Olov Oscarsson (1931-1996) on the afferent innervation of the cerebellum by axons emanating from neurons in the spinal cord and the inferior olive. Historically, the schemes of cerebellar division had been principally based on the external morphology of lobules and fissures. However, the macroscopic anatomical division of the cerebellum does not coincide with its pattern of functional organization. By defining a system of longitudinal somatotopy, Oscarsson contributed to the much needed plan of cerebellar division that correlates experimental information on axonal connections with physiology. His contribution has ultimately led to the currently accepted microzonal modular scheme of cerebellar corticonuclear microcomplexes.
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Affiliation(s)
- Lazaros C Triarhou
- Department of Psychology, Sector of Cognitive, Behavioral and Brain Sciences, Faculty of Philosophy, Aristotelian University, University Campus, Thessaloniki, 54124, Greece.
| | - Mario Manto
- Unité Des Ataxies Cérébelleuses, CHU-Charleroi, Charleroi, Belgium
- Service Des Neurosciences, University of Mons, Mons, Belgium
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4
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Huggins AA, Baird CL, Briggs M, Laskowitz S, Hussain A, Fouda S, Haswell C, Sun D, Salminen LE, Jahanshad N, Thomopoulos SI, Veltman DJ, Frijling JL, Olff M, van Zuiden M, Koch SBJ, Nawjin L, Wang L, Zhu Y, Li G, Stein DJ, Ipser J, Seedat S, du Plessis S, van den Heuvel LL, Suarez-Jimenez B, Zhu X, Kim Y, He X, Zilcha-Mano S, Lazarov A, Neria Y, Stevens JS, Ressler KJ, Jovanovic T, van Rooij SJH, Fani N, Hudson AR, Mueller SC, Sierk A, Manthey A, Walter H, Daniels JK, Schmahl C, Herzog JI, Říha P, Rektor I, Lebois LAM, Kaufman ML, Olson EA, Baker JT, Rosso IM, King AP, Liberzon I, Angstadt M, Davenport ND, Sponheim SR, Disner SG, Straube T, Hofmann D, Qi R, Lu GM, Baugh LA, Forster GL, Simons RM, Simons JS, Magnotta VA, Fercho KA, Maron-Katz A, Etkin A, Cotton AS, O'Leary EN, Xie H, Wang X, Quidé Y, El-Hage W, Lissek S, Berg H, Bruce S, Cisler J, Ross M, Herringa RJ, Grupe DW, Nitschke JB, Davidson RJ, Larson CL, deRoon-Cassini TA, Tomas CW, Fitzgerald JM, Blackford JU, Olatunji BO, Kremen WS, Lyons MJ, Franz CE, Gordon EM, May G, Nelson SM, Abdallah CG, Levy I, Harpaz-Rotem I, Krystal JH, Dennis EL, Tate DF, Cifu DX, Walker WC, Wilde EA, Harding IH, Kerestes R, Thompson PM, Morey R. Smaller total and subregional cerebellar volumes in posttraumatic stress disorder: a mega-analysis by the ENIGMA-PGC PTSD workgroup. Mol Psychiatry 2024; 29:611-623. [PMID: 38195980 PMCID: PMC11153161 DOI: 10.1038/s41380-023-02352-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 11/22/2023] [Accepted: 11/27/2023] [Indexed: 01/11/2024]
Abstract
Although the cerebellum contributes to higher-order cognitive and emotional functions relevant to posttraumatic stress disorder (PTSD), prior research on cerebellar volume in PTSD is scant, particularly when considering subregions that differentially map on to motor, cognitive, and affective functions. In a sample of 4215 adults (PTSD n = 1642; Control n = 2573) across 40 sites from the ENIGMA-PGC PTSD working group, we employed a new state-of-the-art deep-learning based approach for automatic cerebellar parcellation to obtain volumetric estimates for the total cerebellum and 28 subregions. Linear mixed effects models controlling for age, gender, intracranial volume, and site were used to compare cerebellum volumes in PTSD compared to healthy controls (88% trauma-exposed). PTSD was associated with significant grey and white matter reductions of the cerebellum. Compared to controls, people with PTSD demonstrated smaller total cerebellum volume, as well as reduced volume in subregions primarily within the posterior lobe (lobule VIIB, crus II), vermis (VI, VIII), flocculonodular lobe (lobule X), and corpus medullare (all p-FDR < 0.05). Effects of PTSD on volume were consistent, and generally more robust, when examining symptom severity rather than diagnostic status. These findings implicate regionally specific cerebellar volumetric differences in the pathophysiology of PTSD. The cerebellum appears to play an important role in higher-order cognitive and emotional processes, far beyond its historical association with vestibulomotor function. Further examination of the cerebellum in trauma-related psychopathology will help to clarify how cerebellar structure and function may disrupt cognitive and affective processes at the center of translational models for PTSD.
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Grants
- R01 MH105535 NIMH NIH HHS
- WA 1539/8-2 Deutsche Forschungsgemeinschaft (German Research Foundation)
- UL1TR000454 U.S. Department of Health & Human Services | National Institutes of Health (NIH)
- K01MH118467 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- IK2 RX000709 RRD VA
- R01MH106574 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- I01 RX002172 RRD VA
- K23MH090366 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- R01MH105535 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- P41 EB015922 NIBIB NIH HHS
- I01 RX002174 RRD VA
- W81XWH-10-1-0925 U.S. Department of Defense (United States Department of Defense)
- R56 MH071537 NIMH NIH HHS
- 20ZDA079 National Natural Science Foundation of China (National Science Foundation of China)
- P30 HD003352 NICHD NIH HHS
- K01 MH122774 NIMH NIH HHS
- I01 RX003444 RRD VA
- IK2 RX002922 RRD VA
- 31971020 National Natural Science Foundation of China (National Science Foundation of China)
- R21 MH098212 NIMH NIH HHS
- R01 MH113574 NIMH NIH HHS
- K12 HD085850 NICHD NIH HHS
- M01RR00039 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- 1IK2CX001680 U.S. Department of Veterans Affairs (Department of Veterans Affairs)
- R01 MH071537 NIMH NIH HHS
- R21 MH106998 NIMH NIH HHS
- I01 RX003442 RRD VA
- IK2 CX001680 CSRD VA
- R01 AG064955 NIA NIH HHS
- HD071982 U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
- MH098212 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- 14848 Michael J. Fox Foundation for Parkinson's Research (Michael J. Fox Foundation)
- I01 CX001135 CSRD VA
- 1IK2RX000709 U.S. Department of Veterans Affairs (Department of Veterans Affairs)
- R21 MH112956 NIMH NIH HHS
- W81XWH-08-2-0038 United States Department of Defense | United States Army | Army Medical Command | Congressionally Directed Medical Research Programs (CDMRP)
- K01 MH118428 NIMH NIH HHS
- HD085850 U.S. Department of Health & Human Services | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
- R01 MH105355 NIMH NIH HHS
- M01 RR000039 NCRR NIH HHS
- I01 RX003443 RRD VA
- R01 MH111671 NIMH NIH HHS
- R01 MH106574 NIMH NIH HHS
- R01 MH116147 NIMH NIH HHS
- M01RR00039 U.S. Department of Health & Human Services | National Institutes of Health (NIH)
- 1K2RX002922 U.S. Department of Veterans Affairs (Department of Veterans Affairs)
- I01 RX001880 RRD VA
- K01MH122774 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- I01 RX000622 RRD VA
- R01MH111671 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- I01 RX002171 RRD VA
- R21MH098198 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- I01 HX003155 HSRD VA
- U54 EB020403 NIBIB NIH HHS
- R01 MH117601 NIMH NIH HHS
- I01 RX001774 RRD VA
- R01AG050595 U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging)
- I01 CX002097 CSRD VA
- I01 RX002076 RRD VA
- R01 MH119227 NIMH NIH HHS
- SFB/TRR 58: C06, C07 Deutsche Forschungsgemeinschaft (German Research Foundation)
- R21MH106998 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- U21A20364 National Natural Science Foundation of China (National Science Foundation of China)
- R01MH117601 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- BK20221554 Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation)
- UL1 TR000454 NCATS NIH HHS
- R01 MH107382 NIMH NIH HHS
- I01 CX001246 CSRD VA
- R01MH105355 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- R56 AG058854 NIA NIH HHS
- R01MH107382 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- R21MH112956 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- 40-00812-98-10041 ZonMw (Netherlands Organisation for Health Research and Development)
- T32 MH018931 NIMH NIH HHS
- R01 AG076838 NIA NIH HHS
- K23 MH101380 NIMH NIH HHS
- R21 MH102634 NIMH NIH HHS
- K01MH118428 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- R01 MH043454 NIMH NIH HHS
- I01 RX002170 RRD VA
- MH071537 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- R01 HD071982 NICHD NIH HHS
- K23 MH090366 NIMH NIH HHS
- I01 RX002173 RRD VA
- R61 NS120249 NINDS NIH HHS
- R61NS120249 U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS)
- I01RX000622 U.S. Department of Veterans Affairs (Department of Veterans Affairs)
- 27040 Brain and Behavior Research Foundation (Brain & Behavior Research Foundation)
- W81XWH-12-2-0012 U.S. Department of Defense (United States Department of Defense)
- K01 MH118467 NIMH NIH HHS
- I01 CX002096 CSRD VA
- I01 CX001820 CSRD VA
- P50 U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA)
- R01AG059874 U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging)
- MH101380 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- I01 RX001135 RRD VA
- DA 1222/4-1 Deutsche Forschungsgemeinschaft (German Research Foundation)
- R01 MH096987 NIMH NIH HHS
- 1184403 Department of Health | National Health and Medical Research Council (NHMRC)
- R01MH110483 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- R01MH096987 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- R01MH119227 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- R21MH102634 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- R01AG022381 U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging)
- R01 AG022381 NIA NIH HHS
- R01 AG050595 NIA NIH HHS
- R01 AG059874 NIA NIH HHS
- VA Mid-Atlantic MIRECC
- Michael J. Fox Foundation for Parkinson’s Research (Michael J. Fox Foundation)
- Amsterdam Academic Medical Center grant
- South African Medical Research Council (SAMRC)
- Ghent University Special Research Fund (BOF) 01J05415
- Julia Kasparian Fund for Neuroscience Research
- McLean Hospital Trauma Scholars Fund, Barlow Family Fund, Julia Kasparian Fund for Neuroscience Research
- Foundation for the Social Development Project of Jiangsu No. BE2022705
- Center for Brain and Behavior Research Pilot Grant, South Dakota Governor’s Research Center Grant
- Center for Brain and Behavior Research Pilot Grant, South Dakota Governor ’s Research Center Grant
- Fondation Pierre Deniker pour la Recherche et la Prévention en Santé Mentale (Fondation Pierre Deniker pour la Recherche & la Prévention en Santé Mentale)
- PHRC, SFR FED4226
- Dana Foundation (Charles A. Dana Foundation)
- UW | Institute for Clinical and Translational Research, University of Wisconsin, Madison (UW Institute for Clinical and Translational Research)
- National Science Foundation (NSF)
- US VA VISN17 Center of Excellence Pilot funding
- VA National Center for PTSD, Beth K and Stuart Yudofsky Chair in the Neuropsychiatry of Military Post Traumatic Stress Syndrome
- US VA National Center for PTSD, NCATS
- This work was supported by the Assistant Secretary of Defense for Health Affairs endorsed by the Department of Defense, through the Psychological Health/Traumatic Brain Injury Research Program Long-Term Impact of Military-Relevant Brain Injury Consortium (LIMBIC) Award/W81XWH-18-PH/TBIRP-LIMBIC under Awards No. W81XWH1920067 and W81XWH-13-2-0095, and by the U.S. Department of Veterans Affairs Awards No. I01 CX002097, I01 CX002096, I01 CX001820, I01 HX003155, I01 RX003444, I01 RX003443, I01 RX003442, I01 CX001135, I01 CX001246, I01 RX001774, I01 RX 001135, I01 RX 002076, I01 RX 001880, I01 RX 002172, I01 RX 002173, I01 RX 002171, I01 RX 002174, and I01 RX 002170. The U.S. Army Medical Research Acquisition Activity, 839 Chandler Street, Fort Detrick MD 21702-5014 is the awarding and administering acquisition office.
- HFP90-020
- VA VISN6 MIRECC
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Affiliation(s)
- Ashley A Huggins
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA.
- Department of Veteran Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA.
| | - C Lexi Baird
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Veteran Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA
| | - Melvin Briggs
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Veteran Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA
| | - Sarah Laskowitz
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Veteran Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA
| | - Ahmed Hussain
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Veteran Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA
| | - Samar Fouda
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Veteran Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA
- Department of Psychiatry & Behavioral Sciences, Duke School of Medicine, Durham, NC, USA
| | - Courtney Haswell
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Veteran Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA
| | - Delin Sun
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Veteran Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA
- Department of Psychology, The Education University of Hong Kong, Ting Kok, Hong Kong
| | - Lauren E Salminen
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Dick J Veltman
- Amsterdam UMC Vrije Universiteit, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Jessie L Frijling
- Amsterdam UMC University of Amsterdam, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Miranda Olff
- Amsterdam UMC University of Amsterdam, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
- ARQ National Psychotrauma Centre, Diemen, The Netherlands
| | - Mirjam van Zuiden
- Amsterdam UMC University of Amsterdam, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Saskia B J Koch
- Amsterdam UMC University of Amsterdam, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Laura Nawjin
- Amsterdam UMC Vrije Universiteit, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Amsterdam UMC University of Amsterdam, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Li Wang
- Laboratory for Traumatic Stress Studies, Chinese Academy of Sciences Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Ye Zhu
- Laboratory for Traumatic Stress Studies, Chinese Academy of Sciences Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Gen Li
- Laboratory for Traumatic Stress Studies, Chinese Academy of Sciences Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Center for Global Health Equity, New York University Shanghai, Shanghai, China
| | - Dan J Stein
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Jonathan Ipser
- SA MRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Soraya Seedat
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
- South African Medical Research Council Unit on the Genomics of Brain Disorders (GBD), Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Stefan du Plessis
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
- South African Medical Research Council Unit on the Genomics of Brain Disorders (GBD), Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Leigh L van den Heuvel
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
- South African Medical Research Council Unit on the Genomics of Brain Disorders (GBD), Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | | | - Xi Zhu
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Yoojean Kim
- New York State Psychiatric Institute, New York, NY, USA
| | - Xiaofu He
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | | | - Amit Lazarov
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
- Tel-Aviv University, Tel Aviv-Yafo, Israel
| | - Yuval Neria
- Department of Psychiatry, Columbia University Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Jennifer S Stevens
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Kerry J Ressler
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
- Division of Depression and Anxiety Disorders, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Tanja Jovanovic
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
- Department of Psychiatry and Behavioral Neuroscience, Wayne State University School of Medicine, Detroit, MI, USA
| | - Sanne J H van Rooij
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Negar Fani
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Anna R Hudson
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Sven C Mueller
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Anika Sierk
- University Medical Centre Charité, Berlin, Germany
| | | | | | - Judith K Daniels
- Department of Clinical Psychology, University of Groningen, Groningen, The Netherlands
| | - Christian Schmahl
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Julia I Herzog
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - Pavel Říha
- First Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic
- CEITEC-Central European Institute of Technology, Multimodal and Functional Neuroimaging Research Group, Masaryk University, Brno, Czech Republic
| | - Ivan Rektor
- CEITEC-Central European Institute of Technology, Multimodal and Functional Neuroimaging Research Group, Masaryk University, Brno, Czech Republic
| | - Lauren A M Lebois
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard University, Belmont, MA, USA
| | - Milissa L Kaufman
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Division of Women's Mental Health, McLean Hospital, Belmont, MA, USA
| | - Elizabeth A Olson
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard University, Belmont, MA, USA
| | - Justin T Baker
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
| | - Isabelle M Rosso
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard University, Belmont, MA, USA
| | - Anthony P King
- Department of Psychiatry and Behavioral Health, Institute for Behavioral Medicine Research, The Ohio State University, Columbus, OH, USA
| | - Isreal Liberzon
- Department of Psychiatry, Texas A&M University, Bryan, Texas, USA
| | - Mike Angstadt
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas D Davenport
- Minneapolis VA Health Care System, Minneapolis, MN, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Scott R Sponheim
- Minneapolis VA Health Care System, Minneapolis, MN, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Seth G Disner
- Minneapolis VA Health Care System, Minneapolis, MN, USA
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Thomas Straube
- Institute of Medical Psychology and Systems Neuroscience, University of Münster, Münster, Germany
| | - David Hofmann
- Institute of Medical Psychology and Systems Neuroscience, University of Münster, Münster, Germany
| | - Rongfeng Qi
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China
| | - Lee A Baugh
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
- Center for Brain and Behavior Research, University of South Dakota, Vermillion, SD, USA
- Sioux Falls VA Health Care System, Sioux Falls, SD, USA
| | - Gina L Forster
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
- Center for Brain and Behavior Research, University of South Dakota, Vermillion, SD, USA
- Brain Health Research Centre, Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Raluca M Simons
- Center for Brain and Behavior Research, University of South Dakota, Vermillion, SD, USA
- Department of Psychology, University of South Dakota, Vermillion, SD, USA
- Disaster Mental Health Institute, Vermillion, SD, USA
| | - Jeffrey S Simons
- Sioux Falls VA Health Care System, Sioux Falls, SD, USA
- Department of Psychology, University of South Dakota, Vermillion, SD, USA
| | - Vincent A Magnotta
- Departments of Radiology, Psychiatry, and Biomedical Engineering, University of Iowa, Iowa City, IA, USA
| | - Kelene A Fercho
- Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD, USA
- Center for Brain and Behavior Research, University of South Dakota, Vermillion, SD, USA
- Sioux Falls VA Health Care System, Sioux Falls, SD, USA
- Civil Aerospace Medical Institute, US Federal Aviation Administration, Oklahoma City, OK, USA
| | - Adi Maron-Katz
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Amit Etkin
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Andrew S Cotton
- Department of Psychiatry, University of Toledo, Toledo, OH, USA
| | - Erin N O'Leary
- Department of Psychiatry, University of Toledo, Toledo, OH, USA
| | - Hong Xie
- Department of Neurosciences, University of Toledo, Toledo, OH, USA
| | - Xin Wang
- Department of Psychiatry, University of Toledo, Toledo, OH, USA
| | - Yann Quidé
- School of Psychology, University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia
- Neuroscience Research Australia, Randwick, NSW, Australia
| | - Wissam El-Hage
- UMR1253, Université de Tours, Inserm, Tours, France
- CIC1415, CHRU de Tours, Inserm, Tours, France
| | - Shmuel Lissek
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Hannah Berg
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Steven Bruce
- Department of Psychological Sciences, Center for Trauma Recovery University of Missouri-St. Louis, St. Louis, MO, USA
| | - Josh Cisler
- Department of Psychiatry, University of Texas at Austin, Austin, TX, USA
| | - Marisa Ross
- Northwestern Neighborhood and Network Initiative, Northwestern University Institute for Policy Research, Evanston, IL, USA
| | - Ryan J Herringa
- School of Medicine and Public Health, University of Wisconsin Madison, Madison, WI, USA
| | - Daniel W Grupe
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA
| | - Jack B Nitschke
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Richard J Davidson
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
| | - Christine L Larson
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Terri A deRoon-Cassini
- Division of Trauma and Acute Care Surgery, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
- Comprehensive Injury Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Carissa W Tomas
- Comprehensive Injury Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Division of Epidemiology and Social Sciences, Institute of Health and Equity, Medical College of Wisconsin Milwaukee, Milwaukee, WI, USA
| | | | - Jennifer Urbano Blackford
- Munroe-Meyer Institute, University of Nebraska Medical Center, Omaha, NE, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bunmi O Olatunji
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - William S Kremen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Michael J Lyons
- Dept. of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Carol E Franz
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - Evan M Gordon
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Geoffrey May
- Veterans Integrated Service Network-17 Center of Excellence for Research on Returning War Veterans, Waco, TX, USA
- Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
- Department of Psychiatry and Behavioral Science, Texas A&M University Health Science Center, Bryan, TX, USA
| | - Steven M Nelson
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
- Masonic Institute for the Developing Brain, Minneapolis, MN, USA
| | - Chadi G Abdallah
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Ifat Levy
- Departments of Comparative Medicine, Neuroscience and Psychology, Wu Tsai Institute, Yale University, New Haven, CT, USA
- Division of Clinical Neuroscience, National Center for PTSD, West Haven, CT, USA
| | - Ilan Harpaz-Rotem
- Division of Clinical Neuroscience, National Center for PTSD, West Haven, CT, USA
- Departments of Psychiatry and of Psychology, Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - John H Krystal
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Division of Clinical Neuroscience, National Center for PTSD, West Haven, CT, USA
| | - Emily L Dennis
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - David F Tate
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - David X Cifu
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, USA
| | - William C Walker
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, USA
- Veterans Affairs (VA) Richmond Health Care, Richmond, VA, USA
| | - Elizabeth A Wilde
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
| | - Ian H Harding
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Vic, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Vic, Australia
| | - Rebecca Kerestes
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Vic, Australia
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Rajendra Morey
- Brain Imaging and Analysis Center, Duke University, Durham, NC, USA
- Department of Veteran Affairs Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham, NC, USA
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5
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Santuz A, Zampieri N. Making sense of proprioception. Trends Genet 2024; 40:20-23. [PMID: 37926636 DOI: 10.1016/j.tig.2023.10.006] [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: 07/16/2023] [Revised: 10/06/2023] [Accepted: 10/06/2023] [Indexed: 11/07/2023]
Abstract
Proprioception - the sense of body position in space - is intimately linked to motor control. Here, we briefly review the current knowledge of the proprioceptive system and how advances in the genetic characterisation of proprioceptive sensory neurons in mice promise to dissect its role in health and disease.
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Affiliation(s)
- Alessandro Santuz
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany.
| | - Niccolò Zampieri
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), 13125 Berlin, Germany.
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Paish AD, Zero AM, McNeil CJ, Rice CL. Increased corticospinal inhibition following brief maximal and submaximal contractions in humans. J Appl Physiol (1985) 2023; 135:805-811. [PMID: 37616335 DOI: 10.1152/japplphysiol.00206.2023] [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: 03/31/2023] [Revised: 07/31/2023] [Accepted: 08/22/2023] [Indexed: 08/26/2023] Open
Abstract
A potentiating conditioning contraction (CC) has been shown to increase silent period duration, an index of corticospinal inhibition; however, it is unknown if the CC must induce potentiation for corticospinal inhibition to increase. Ten healthy, young adults (four females) completed this study to assess potentiation and silent period (SP) duration before and after four types of CCs: voluntary and electrically evoked maximal CCs to optimize potentiation, and voluntary and electrically evoked submaximal CCs (∼40% of maximal voluntary force) that induced minimal potentiation. Stimulation was applied to the ulnar nerve to evoke twitches for the assessment of potentiation and to evoke tetanic CCs of the first dorsal interosseous muscle. The SP was elicited by applying transcranial magnetic stimulation to the motor cortex during brief contractions at 25% of maximal voluntary force. Changes to twitch force and SP duration were not different for voluntary and tetanic contractions, so data were pooled. Twitch force increased by 81.2 ± 35.7% (P < 0.001) and 3.2 ± 6.5% (P = 0.039) following maximal and submaximal CCs, respectively. The SP was prolonged following maximal (12.6 ± 6.3%; P < 0.001) and submaximal (4.8 ± 4.9%; P < 0.001) CCs. Correlations between post-CC twitch force and SP duration were not significant for maximal or submaximal conditions (r = -0.068; r = 0.067; P ≥ 0.780, respectively). Duration of the SP increased not only following maximal-intensity CCs but also after submaximal-intensity CCs that induced virtually no potentiation (∼3%). Thus, we suggest that corticospinal inhibition is not directly related to mechanisms of muscle potentiation per se, but, rather, the level of muscle contraction likely mediates feedback from large diameter afferents that affect the SP.NEW & NOTEWORTHY The transcranial magnetic stimulation-induced silent period reflects a transient state of corticospinal inhibition that is influenced by recent history of muscle activation, which may include an effect of potentiation. We demonstrate that silent period duration increases following both voluntary and electrically evoked maximal and submaximal conditioning contractions, even though the latter intensity produced virtually no muscle potentiation. Feedback from group Ia and Ib muscle afferents is proposed as the cause of the increased corticospinal inhibition.
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Affiliation(s)
- Alexander D Paish
- Faculty of Health Sciences, School of Kinesiology, The University of Western Ontario, London, Ontario, Canada
| | - Alexander M Zero
- Faculty of Health Sciences, School of Kinesiology, The University of Western Ontario, London, Ontario, Canada
| | - Chris J McNeil
- Centre for Heart, Lung, and Vascular Health, School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Charles L Rice
- Faculty of Health Sciences, School of Kinesiology, The University of Western Ontario, London, Ontario, Canada
- Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
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7
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Muscinelli SP, Wagner MJ, Litwin-Kumar A. Optimal routing to cerebellum-like structures. Nat Neurosci 2023; 26:1630-1641. [PMID: 37604889 PMCID: PMC10506727 DOI: 10.1038/s41593-023-01403-7] [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: 03/28/2022] [Accepted: 07/12/2023] [Indexed: 08/23/2023]
Abstract
The vast expansion from mossy fibers to cerebellar granule cells (GrC) produces a neural representation that supports functions including associative and internal model learning. This motif is shared by other cerebellum-like structures and has inspired numerous theoretical models. Less attention has been paid to structures immediately presynaptic to GrC layers, whose architecture can be described as a 'bottleneck' and whose function is not understood. We therefore develop a theory of cerebellum-like structures in conjunction with their afferent pathways that predicts the role of the pontine relay to cerebellum and the glomerular organization of the insect antennal lobe. We highlight a new computational distinction between clustered and distributed neuronal representations that is reflected in the anatomy of these two brain structures. Our theory also reconciles recent observations of correlated GrC activity with theories of nonlinear mixing. More generally, it shows that structured compression followed by random expansion is an efficient architecture for flexible computation.
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Affiliation(s)
- Samuel P Muscinelli
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY, USA.
| | - Mark J Wagner
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA
| | - Ashok Litwin-Kumar
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY, USA.
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Ma L, Liu G, Zhang P, Wang J, Huang W, Jiang Y, Zheng Y, Han N, Zhang Z, Zhang J. Altered Cerebro-Cerebellar Effective Connectivity in New-Onset Juvenile Myoclonic Epilepsy. Brain Sci 2022; 12:brainsci12121658. [PMID: 36552118 PMCID: PMC9775154 DOI: 10.3390/brainsci12121658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/27/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022] Open
Abstract
(1) Objective: Resting-state fMRI studies have indicated that juvenile myoclonic epilepsy (JME) could cause widespread functional connectivity disruptions between the cerebrum and cerebellum. However, the directed influences or effective connectivities (ECs) between these brain regions are poorly understood. In the current study, we aimed to evaluate the ECs between the cerebrum and cerebellum in patients with new-onset JME. (2) Methods: Thirty-four new-onset JME patients and thirty-four age-, sex-, and education-matched healthy controls (HCs) were included in this study. We compared the degree centrality (DC) between the two groups to identify intergroup differences in whole-brain functional connectivity. Then, we used a Granger causality analysis (GCA) to explore JME-caused changes in EC between cerebrum regions and cerebellum regions. Furthermore, we applied a correlation analysis to identify associations between aberrant EC and disease severity in patients with JME. (3) Results: Compared to HCs, patients with JME showed significantly increased DC in the left cerebellum posterior lobe (CePL.L), the right inferior temporal gyrus (ITG.R) and the right superior frontal gyrus (SFG.R), and decreased DC in the left inferior frontal gyrus (IFG.L) and the left superior temporal gyrus (STG.L). The patients also showed unidirectionally increased ECs from cerebellum regions to the cerebrum regions, including from the CePL.L to the right precuneus (PreCU.R), from the left cerebellum anterior lobe (CeAL.L) to the ITG.R, from the right cerebellum posterior lobe (CePL.R) to the IFG.L, and from the left inferior semi-lunar lobule of the cerebellum (CeISL.L) to the SFG.R. Additionally, the EC from the CeISL.L to the SFG.R was negatively correlated with the disease severity. (4) Conclusions: JME patients showed unidirectional EC disruptions from the cerebellum to the cerebrum, and the negative correlation between EC and disease severity provides a new perspective for understanding the cerebro-cerebellar neural circuit mechanisms in JME.
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Affiliation(s)
- Laiyang Ma
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, China
- Second Clinical School, Lanzhou University, Lanzhou 730030, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - Guangyao Liu
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - Pengfei Zhang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, China
- Second Clinical School, Lanzhou University, Lanzhou 730030, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - Jun Wang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, China
- Second Clinical School, Lanzhou University, Lanzhou 730030, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - Wenjing Huang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, China
- Second Clinical School, Lanzhou University, Lanzhou 730030, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - Yanli Jiang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, China
- Second Clinical School, Lanzhou University, Lanzhou 730030, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - Yu Zheng
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, China
- Second Clinical School, Lanzhou University, Lanzhou 730030, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - Na Han
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, China
- Second Clinical School, Lanzhou University, Lanzhou 730030, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
| | - Zhe Zhang
- School of Physics, Hangzhou Normal University, Hangzhou 311121, China
- Institute of Brain Science, Hangzhou Normal University, Hangzhou 311121, China
- Correspondence: (Z.Z.); (J.Z.); Tel.: +86-0571-28861955 (Z.Z.); +86-0931-8942090 (J.Z.)
| | - Jing Zhang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou 730030, China
- Correspondence: (Z.Z.); (J.Z.); Tel.: +86-0571-28861955 (Z.Z.); +86-0931-8942090 (J.Z.)
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Manto M. The underpinnings of cerebellar ataxias. Clin Neurophysiol Pract 2022; 7:372-387. [PMID: 36504687 PMCID: PMC9731828 DOI: 10.1016/j.cnp.2022.11.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 10/07/2022] [Accepted: 11/06/2022] [Indexed: 11/18/2022] Open
Abstract
The human cerebellum contains more than 60% of all neurons of the brain. Anatomically, the cerebellum is divided into 10 lobules (I-X). The cerebellar cortex is arranged into three layers: the molecular layer (external), the Purkinje cell layer and the granular layer (internal). Purkinje neurons and interneurons are inhibitory, except for granule cells. The layer of Purkinje neurons inhibit cerebellar nuclei, the sole output of the cerebellar circuitry, as well as vestibular nuclei. The cerebellum is arranged into a series of olivo-cortico-nuclear modules arranged longitudinally in the rostro-caudal plane. The cerebro-cerebellar connectivity is organized into multiple loops running in parallel. From the clinical standpoint, it is now considered that cerebellar symptoms can be gathered into 3 cerebellar syndromes: a cerebellar motor syndrome (CMS), a vestibulocerebellar syndrome (VCS) and a cerebellar cognitive affective syndrome/Schmahmann syndrome (CCAS/SS). CMS remains a cornerstone of modern clinical ataxiology, and relevant lesions involve lobules I-V, VI and VIII. The core feature of cerebellar symptoms is dysmetria, covering motor dysmetria (errors in the metrics of motion) and dysmetria of thought. The cerebellar circuitry plays a key-role in the generation and maintenance of internal models which correspond to neural representations reproducing the dynamic properties of the body. These models allow predictive computations for motor, cognitive, social, and affective operations. Cerebellar circuitry is endowed with noticeable plasticity properties.
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10
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Noseda R. Cerebro-Cerebellar Networks in Migraine Symptoms and Headache. FRONTIERS IN PAIN RESEARCH 2022; 3:940923. [PMID: 35910262 PMCID: PMC9326053 DOI: 10.3389/fpain.2022.940923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
The cerebellum is associated with the biology of migraine in a variety of ways. Clinically, symptoms such as fatigue, motor weakness, vertigo, dizziness, difficulty concentrating and finding words, nausea, and visual disturbances are common in different types of migraine. The neural basis of these symptoms is complex, not completely known, and likely involve activation of both specific and shared circuits throughout the brain. Posterior circulation stroke, or neurosurgical removal of posterior fossa tumors, as well as anatomical tract tracing in animals, provided the first insights to theorize about cerebellar functions. Nowadays, with the addition of functional imaging, much progress has been done on cerebellar structure and function in health and disease, and, as a consequence, the theories refined. Accordingly, the cerebellum may be useful but not necessary for the execution of motor, sensory or cognitive tasks, but, rather, would participate as an efficiency facilitator of neurologic functions by improving speed and skill in performance of tasks produced by the cerebral area to which it is reciprocally connected. At the subcortical level, critical regions in these processes are the basal ganglia and thalamic nuclei. Altogether, a modulatory role of the cerebellum over multiple brain regions appears compelling, mainly by considering the complexity of its reciprocal connections to common neural networks involved in motor, vestibular, cognitive, affective, sensory, and autonomic processing—all functions affected at different phases and degrees across the migraine spectrum. Despite the many associations between cerebellum and migraine, it is not known whether this structure contributes to migraine initiation, symptoms generation or headache. Specific cerebellar dysfunction via genetically driven excitatory/inhibitory imbalances, oligemia and/or increased risk to white matter lesions has been proposed as a critical contributor to migraine pathogenesis. Therefore, given that neural projections and functions of many brainstem, midbrain and forebrain areas are shared between the cerebellum and migraine trigeminovascular pathways, this review will provide a synopsis on cerebellar structure and function, its role in trigeminal pain, and an updated overview of relevant clinical and preclinical literature on the potential role of cerebellar networks in migraine pathophysiology.
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Affiliation(s)
- Rodrigo Noseda
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
- *Correspondence: Rodrigo Noseda
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11
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Mario M. Cerebellar Disorders: At the Frontiers of Neurology, Psychiatry, and the Modern Approach to Psychology. THE NEW REVOLUTION IN PSYCHOLOGY AND THE NEUROSCIENCES 2022:105-122. [DOI: 10.1007/978-3-031-06093-9_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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12
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Abstract
When animals walk overground, mechanical stimuli activate various receptors located in muscles, joints, and skin. Afferents from these mechanoreceptors project to neuronal networks controlling locomotion in the spinal cord and brain. The dynamic interactions between the control systems at different levels of the neuraxis ensure that locomotion adjusts to its environment and meets task demands. In this article, we describe and discuss the essential contribution of somatosensory feedback to locomotion. We start with a discussion of how biomechanical properties of the body affect somatosensory feedback. We follow with the different types of mechanoreceptors and somatosensory afferents and their activity during locomotion. We then describe central projections to locomotor networks and the modulation of somatosensory feedback during locomotion and its mechanisms. We then discuss experimental approaches and animal models used to investigate the control of locomotion by somatosensory feedback before providing an overview of the different functional roles of somatosensory feedback for locomotion. Lastly, we briefly describe the role of somatosensory feedback in the recovery of locomotion after neurological injury. We highlight the fact that somatosensory feedback is an essential component of a highly integrated system for locomotor control. © 2021 American Physiological Society. Compr Physiol 11:1-71, 2021.
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Affiliation(s)
- Alain Frigon
- Department of Pharmacology-Physiology, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Quebec, Canada
| | - Turgay Akay
- Department of Medical Neuroscience, Atlantic Mobility Action Project, Brain Repair Center, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Boris I Prilutsky
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
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13
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Zhang Y, Luo Y, Sasamura K, Sugihara I. Single axonal morphology reveals high heterogeneity in spinocerebellar axons originating from the lumbar spinal cord in the mouse. J Comp Neurol 2021; 529:3893-3921. [PMID: 34333770 DOI: 10.1002/cne.25223] [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: 05/07/2021] [Revised: 07/24/2021] [Accepted: 07/27/2021] [Indexed: 11/09/2022]
Abstract
Among the spinocerebellar projections vital for sensorimotor coordination of limbs and the trunk, the morphology of spinocerebellar axons originating from the lumbar cord has not been well characterized compared to those from thoracic and sacral cords. We reconstructed 26 single spinocerebellar axons labeled by biotinylated dextran injections into the gray matter of the lumbar spinal cord in mice. Axon terminals were mapped with the zebrin pattern of the cerebellar cortex. Reconstructed axons were primarily classified into ipsilaterally and contralaterally ascending axons, arising mainly from the dorsal and ventral horns, respectively. The majority of ipsilateral and contralateral axons took the dorsal-medullary and ventral-pontine pathways, respectively. The axons of both groups terminated mainly in the vermal and medial paravermal areas of lobules II-V and VIII-IXa, often bilaterally but predominantly ipsilateral to the axonal origin, with a weak preference to particular portions of zebrin stripes. The ipsilateral axons originating from the medial dorsal horn in the upper lumbar cord (n = 3) had abundant (43-147) mossy fiber terminals and no medullary collaterals. The ipsilateral axons originating from the lateral dorsal horn in the lower lumbar cord (n = 9) and the contralateral axons (n = 14) showed remarkable morphology variations. The number of their mossy fiber terminals varied from 2 to 172. Their collaterals, observed in 17 axons out of 23, terminated mainly in the medial cerebellar nucleus, nucleus X, and lateral reticular nucleus in various degrees. The results indicated that the lumbar spinocerebellar projection contains highly heterogeneous axonal populations regarding their pathway, branching, and termination patterns.
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Affiliation(s)
- Yongquan Zhang
- Department of Systems Neurophysiology, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yuanjun Luo
- Department of Systems Neurophysiology, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kazuma Sasamura
- Department of Systems Neurophysiology, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan
| | - Izumi Sugihara
- Department of Systems Neurophysiology, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan.,Center for Brain Integration Research, Tokyo Medical and Dental University, Tokyo, Japan
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14
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Musselwhite MN, Shen TY, Rose MJ, Iceman KE, Poliacek I, Pitts T, Bolser DC. Differential effects of acute cerebellectomy on cough in spontaneously breathing cats. PLoS One 2021; 16:e0253060. [PMID: 34153070 PMCID: PMC8216514 DOI: 10.1371/journal.pone.0253060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 05/27/2021] [Indexed: 11/29/2022] Open
Abstract
The role of the cerebellum in controlling the cough motor pattern is not well understood. We hypothesized that cerebellectomy would disinhibit motor drive to respiratory muscles during cough. Cough was induced by mechanical stimulation of the tracheobronchial airways in anesthetized, spontaneously breathing adult cats (8 male, 1 female), and electromyograms (EMGs) were recorded from upper airway, chest wall, and abdominal respiratory muscles. Cough trials were performed before and at two time points after total cerebellectomy (10 minutes and >1 hour). Unlike a prior report in paralyzed, decerebrated, and artificially ventilated animals, we observed that cerebellectomy had no effect on cough frequency. After cerebellectomy, thoracic inspiratory muscle EMG magnitudes increased during cough (diaphragm EMG increased by 14% at 10 minutes, p = 0.04; parasternal by 34% at 10 minutes and by 32% at >1 hour, p = 0.001 and 0.03 respectively). During cough at 10 minutes after cerebellectomy, inspiratory esophageal pressure was increased by 44% (p = 0.004), thyroarytenoid (laryngeal adductor) muscle EMG amplitude increased 13% (p = 0.04), and no change was observed in the posterior cricoarytenoid (laryngeal abductor) EMG. Cough phase durations did not change. Blood pressure and heart rate were reduced after cerebellectomy, and respiratory rate also decreased due to an increase in duration of the expiratory phase of breathing. Changes in cough-related EMG magnitudes of respiratory muscles suggest that the cerebellum exerts inhibitory control of cough motor drive, but not cough number or phase timing in response to mechanical stimuli in this model early after cerebellectomy. However, results varied widely at >1 hour after cerebellectomy, with some animals exhibiting enhancement or suppression of one or more components of the cough motor behavior. These results suggest that, while the cerebellum and behavior-related sensory feedback regulate cough, it may be difficult to predict the nature of the modulation based on total cerebellectomy.
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Affiliation(s)
- M. Nicholas Musselwhite
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, United States of America
- * E-mail: (MNM); (TP)
| | - Tabitha Y. Shen
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Melanie J. Rose
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Kimberly E. Iceman
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center, College of Medicine, University of Louisville, Louisville, Kentucky, United States of America
| | - Ivan Poliacek
- Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Institute of Medical Biophysics, Martin, Slovak Republic
| | - Teresa Pitts
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research Center, College of Medicine, University of Louisville, Louisville, Kentucky, United States of America
- * E-mail: (MNM); (TP)
| | - Donald C. Bolser
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, United States of America
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15
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Mitoma H, Kakei S, Yamaguchi K, Manto M. Physiology of Cerebellar Reserve: Redundancy and Plasticity of a Modular Machine. Int J Mol Sci 2021; 22:4777. [PMID: 33946358 PMCID: PMC8124536 DOI: 10.3390/ijms22094777] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 04/28/2021] [Accepted: 04/28/2021] [Indexed: 12/31/2022] Open
Abstract
The cerebellum is endowed with the capacity for compensation and restoration after pathological injury, a property known as cerebellar reserve. Such capacity is attributed to two unique morphological and physiological features of the cerebellum. First, mossy fibers that convey peripheral and central information run mediolaterally over a wide area of the cerebellum, resulting in the innervation of multiple microzones, commonly known as cerebellar functional units. Thus, a single microzone receives redundant information that can be used in pathological conditions. Secondly, the circuitry is characterized by a co-operative interplay among various forms of synaptic plasticity. Recent progress in understanding the mechanisms of redundant information and synaptic plasticity has allowed outlining therapeutic strategies potentiating these neural substrates to enhance the cerebellar reserve, taking advantage of the unique physiological properties of the cerebellum which appears as a modular and potentially reconfiguring brain structure.
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Affiliation(s)
- Hiroshi Mitoma
- Department of Medical Education, Tokyo Medical University, Tokyo 160-8402, Japan
| | - Shinji Kakei
- Laboratory for Movement Disorders, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan;
| | - Kazuhiko Yamaguchi
- Department of Ultrastructural Research, National Center of Neurology and Psychiatry, National Institute of Neuroscience, Tokyo 187-8551, Japan;
| | - 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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16
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Schmahmann JD. Emotional disorders and the cerebellum: Neurobiological substrates, neuropsychiatry, and therapeutic implications. HANDBOOK OF CLINICAL NEUROLOGY 2021; 183:109-154. [PMID: 34389114 DOI: 10.1016/b978-0-12-822290-4.00016-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The notion that the cerebellum is devoted exclusively to motor control has been replaced by a more sophisticated understanding of its role in neurological function, one that includes cognition and emotion. Early clinical reports, as well as physiological and behavioral studies in animal models, raised the possibility of a nonmotor role for the cerebellum. Anatomical studies demonstrate cerebellar connectivity with the distributed neural circuits linked with autonomic, sensorimotor, vestibular, associative, and limbic/paralimbic brain areas. Identification of the cerebellar cognitive affective syndrome in adults and children underscored the clinical relevance of the role of the cerebellum in cognition and emotion. It opened new avenues of investigation into higher-order deficits that accompany the ataxias and other cerebellar diseases, as well as the contribution of cerebellar dysfunction to neuropsychiatric and neurocognitive disorders. Brain imaging studies have demonstrated the complexity of cerebellar functional topography, revealing a double representation of the sensorimotor cerebellum in the anterior lobe and lobule VIII and a triple cognitive representation in the cerebellar posterior lobe, as well as representation in the cerebellum of the intrinsic connectivity networks identified in the cerebral hemispheres. This paradigm shift in thinking about the cerebellum has been advanced by the theories of dysmetria of thought and the universal cerebellar transform, harmonizing the dual anatomic realities of homogeneously repeating cerebellar cortical microcircuitry set against the heterogeneous and topographically arranged cerebellar connections with extracerebellar structures. This new appreciation of cerebellar incorporation into circuits that subserve cognition and emotion mandates a deeper understanding of the cerebellum by practitioners in behavioral neurology and neuropsychiatry because it impacts the understanding and diagnosis of disorders of emotion and intellect and has potential for novel cerebellar-based approaches to therapy.
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Affiliation(s)
- Jeremy D Schmahmann
- Ataxia Center, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
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17
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Khong KYW, Galán F, Soteropoulos DS. Rapid crossed responses in an intrinsic hand muscle during perturbed bimanual movements. J Neurophysiol 2019; 123:630-644. [PMID: 31851557 PMCID: PMC7052646 DOI: 10.1152/jn.00282.2019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Mechanical perturbations in one upper limb often elicit corrective responses in both the perturbed as well as its contralateral and unperturbed counterpart. These crossed corrective responses have been shown to be sensitive to the bimanual requirements of the perturbation, but crossed responses (CRs) in hand muscles are far less well studied. Here, we investigate corrective CRs in an intrinsic hand muscle, the first dorsal interosseous (1DI), to clockwise and anticlockwise mechanical perturbations to the contralateral index finger while participants performed a bimanual finger abduction task. We found that the CRs in the unperturbed 1DI were sensitive to the direction of the perturbation of the contralateral index finger. However, the size of the CRs was not sensitive to the amplitude of the contralateral perturbation nor its context within the bimanual task. The onset latency of the CRs was too fast to be purely transcortical (<70 ms) in 12/12 participants. This confirms that during isolated bimanual finger movements, sensory feedback from one hand can influence the other, but the pathways mediating the earliest components of this interaction are likely to involve subcortical systems such as the brainstem or spinal cord, which may afford less flexibility to the task demands.NEW & NOTEWORTHY An intrinsic hand muscle shows a crossed response to a perturbation of the contralateral index finger. The crossed response is dependent on the direction of the contralateral perturbation but not on the amplitude or the bimanual requirements of the movement, suggesting a far less flexible control policy than those governing crossed responses in more proximal muscles. The crossed response is too fast to be purely mediated by transcortical pathways, suggesting subcortical contributions.
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Affiliation(s)
- Katie Y W Khong
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom.,Queen's University Belfast, Belfast, Northern Ireland
| | - Ferran Galán
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom.,Department of Basic Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland
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18
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Abstract
Cerebellar neuroscience has undergone a paradigm shift. The theories of the universal cerebellar transform and dysmetria of thought and the principles of organization of cerebral cortical connections, together with neuroanatomical, brain imaging, and clinical observations, have recontextualized the cerebellum as a critical node in the distributed neural circuits subserving behavior. The framework for cerebellar cognition stems from the identification of three cognitive representations in the posterior lobe, which are interconnected with cerebral association areas and distinct from the primary and secondary cerebellar sensorimotor representations linked with the spinal cord and cerebral motor areas. Lesions of the anterior lobe primary sensorimotor representations produce dysmetria of movement, the cerebellar motor syndrome. Lesions of the posterior lobe cognitive-emotional cerebellum produce dysmetria of thought and emotion, the cerebellar cognitive affective/Schmahmann syndrome. The notion that the cerebellum modulates thought and emotion in the same way that it modulates motor control advances the understanding of the mechanisms of cognition and opens new therapeutic opportunities in behavioral neurology and neuropsychiatry.
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Affiliation(s)
- Jeremy D Schmahmann
- Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, and Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA;
| | - Xavier Guell
- Ataxia Unit, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, and Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA; .,Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Catherine J Stoodley
- Department of Psychology and Center for Behavioral Neuroscience, American University, Washington, DC 20016, USA
| | - Mark A Halko
- Berenson-Allen Center for Noninvasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA
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19
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The cerebellum and cognition. Neurosci Lett 2019; 688:62-75. [DOI: 10.1016/j.neulet.2018.07.005] [Citation(s) in RCA: 425] [Impact Index Per Article: 85.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 07/03/2018] [Accepted: 07/04/2018] [Indexed: 02/07/2023]
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20
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Muzzu T, Mitolo S, Gava GP, Schultz SR. Encoding of locomotion kinematics in the mouse cerebellum. PLoS One 2018; 13:e0203900. [PMID: 30212563 PMCID: PMC6136788 DOI: 10.1371/journal.pone.0203900] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2018] [Accepted: 08/29/2018] [Indexed: 01/23/2023] Open
Abstract
The cerebellum is involved in coordinating motor behaviour, but how the cerebellar network regulates locomotion is still not well understood. We characterised the activity of putative cerebellar Purkinje cells, Golgi cells and mossy fibres in awake mice engaged in an active locomotion task, using high-density silicon electrode arrays. Analysis of the activity of over 300 neurons in response to locomotion revealed that the majority of cells (53%) were significantly modulated by phase of the stepping cycle. However, in contrast to studies involving passive locomotion on a treadmill, we found that a high proportion of cells (45%) were tuned to the speed of locomotion, and 19% were tuned to yaw movements. The activity of neurons in the cerebellar vermis provided more information about future speed of locomotion than about past or present speed, suggesting a motor, rather than purely sensory, role. We were able to accurately decode the speed of locomotion with a simple linear algorithm, with only a relatively small number of well-chosen cells needed, irrespective of cell class. Our observations suggest that behavioural state modulates cerebellar sensorimotor integration, and advocate a role for the cerebellar vermis in control of high-level locomotor kinematic parameters such as speed and yaw.
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Affiliation(s)
- Tomaso Muzzu
- Centre for Neurotechnology and Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Susanna Mitolo
- Centre for Neurotechnology and Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Giuseppe P. Gava
- Centre for Neurotechnology and Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Simon R. Schultz
- Centre for Neurotechnology and Department of Bioengineering, Imperial College London, London, United Kingdom
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21
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Guell X, Gabrieli JDE, Schmahmann JD. Triple representation of language, working memory, social and emotion processing in the cerebellum: convergent evidence from task and seed-based resting-state fMRI analyses in a single large cohort. Neuroimage 2018; 172:437-449. [PMID: 29408539 PMCID: PMC5910233 DOI: 10.1016/j.neuroimage.2018.01.082] [Citation(s) in RCA: 278] [Impact Index Per Article: 46.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 01/12/2018] [Accepted: 01/30/2018] [Indexed: 01/14/2023] Open
Abstract
Delineation of functional topography is critical to the evolving understanding of the cerebellum's role in a wide range of nervous system functions. We used data from the Human Connectome Project (n = 787) to analyze cerebellar fMRI task activation (motor, working memory, language, social and emotion processing) and resting-state functional connectivity calculated from cerebral cortical seeds corresponding to the peak Cohen's d of each task contrast. The combination of exceptional statistical power, activation from both motor and multiple non-motor tasks in the same participants, and convergent resting-state networks in the same participants revealed novel aspects of the functional topography of the human cerebellum. Consistent with prior studies there were two distinct representations of motor activation. Newly revealed were three distinct representations each for working memory, language, social, and emotional task processing that were largely separate for these four cognitive and affective domains. In most cases, the task-based activations and the corresponding resting-network correlations were congruent in identifying the two motor representations and the three non-motor representations that were unique to working memory, language, social cognition, and emotion. The definitive localization and characterization of distinct triple representations for cognition and emotion task processing in the cerebellum opens up new basic science questions as to why there are triple representations (what different functions are enabled by the different representations?) and new clinical questions (what are the differing consequences of lesions to the different representations?).
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Affiliation(s)
- Xavier Guell
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge MA 02139, USA; Cognitive Neuroscience Research Unit (URNC), Department of Psychiatric and Forensic Medicine, Universitat Autonoma de Barcelona, Barcelona, Spain; Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston MA 02114, USA.
| | - John D E Gabrieli
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge MA 02139, USA.
| | - Jeremy D Schmahmann
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston MA 02114, USA; Ataxia Unit, Cognitive Behavioral Neurology Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston MA 02114, USA.
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22
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Yamaoka Y, Kishishita S, Takayama Y, Okubo S. A Report of a Case Involving Body Lateropulsion with Numbness of the Ipsilesional Fingers Caused by a Small Infarction in the Dorsal Part of the Middle Medulla. Case Rep Neurol 2018; 10:54-59. [PMID: 29606953 PMCID: PMC5869568 DOI: 10.1159/000486892] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 01/16/2018] [Indexed: 11/24/2022] Open
Abstract
Based on the complexity of functional anatomy, a small infarction in the medulla can produce various types of clinical symptoms or signs depending on the location of this infarction. We describe the case of a 46-year-old man who presented with sudden onset of body lateropulsion to the left side and numbness of the ipsilateral fingers. 3-tesla diffusion-weighted magnetic resonance imaging with a section thickness of 2 mm revealed a small infarction in the dorsal part of the left middle medulla. To our knowledge, this is the first case report describing vestibular dysfunction apparent upon otoelectrophysiological examination but without vestibular symptoms or signs except for body lateropulsion.
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Affiliation(s)
- Yumiko Yamaoka
- Department of Cerebrovascular Medicine, NTT Medical Center, Tokyo, Japan
| | - Sadahiro Kishishita
- Department of Otolaryngology, Head and Neck Surgery, NTT Medical Center, Tokyo, Japan
| | - Yohei Takayama
- Department of Cerebrovascular Medicine, NTT Medical Center, Tokyo, Japan
| | - Seiji Okubo
- Department of Cerebrovascular Medicine, NTT Medical Center, Tokyo, Japan
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23
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Lawrenson C, Bares M, Kamondi A, Kovács A, Lumb B, Apps R, Filip P, Manto M. The mystery of the cerebellum: clues from experimental and clinical observations. CEREBELLUM & ATAXIAS 2018; 5:8. [PMID: 29610671 PMCID: PMC5877388 DOI: 10.1186/s40673-018-0087-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 03/15/2018] [Indexed: 11/22/2022]
Abstract
The cerebellum has a striking homogeneous cytoarchitecture and participates in both motor and non-motor domains. Indeed, a wealth of evidence from neuroanatomical, electrophysiological, neuroimaging and clinical studies has substantially modified our traditional view on the cerebellum as a sole calibrator of sensorimotor functions. Despite the major advances of the last four decades of cerebellar research, outstanding questions remain regarding the mechanisms and functions of the cerebellar circuitry. We discuss major clues from both experimental and clinical studies, with a focus on rodent models in fear behaviour, on the role of the cerebellum in motor control, on cerebellar contributions to timing and our appraisal of the pathogenesis of cerebellar tremor. The cerebellum occupies a central position to optimize behaviour, motor control, timing procedures and to prevent body oscillations. More than ever, the cerebellum is now considered as a major actor on the scene of disorders affecting the CNS, extending from motor disorders to cognitive and affective disorders. However, the respective roles of the mossy fibres, the climbing fibres, cerebellar cortex and cerebellar nuclei remains unknown or partially known at best in most cases. Research is now moving towards a better definition of the roles of cerebellar modules and microzones. This will impact on the management of cerebellar disorders.
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Affiliation(s)
- Charlotte Lawrenson
- School of Physiology, Pharmacology and Neuroscience, Biomedical Sciences Building, University of Bristol, Tankard’s Close, University Walk, Bristol, BS8 1TD UK
| | - Martin Bares
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne’s Teaching Hospital, Brno, Czech Republic
- Department of Neurology, School of Medicine, University of Minnesota, Minneapolis, USA
| | - Anita Kamondi
- Department of Neurology, National Institute of Clinical Neurosciences, Amerikai út 57, Budapest, 1145 Hungary
- Department of Neurology, Semmelweis University, Üllői út 26, Budapest, 1083 Hungary
| | - Andrea Kovács
- Department of Neurology, National Institute of Clinical Neurosciences, Amerikai út 57, Budapest, 1145 Hungary
- János Szentágothai Doctoral School of Neurosciences, Semmelweis University, Üllői út 26, Budapest, 1083 Hungary
| | - Bridget Lumb
- School of Physiology, Pharmacology and Neuroscience, Biomedical Sciences Building, University of Bristol, Tankard’s Close, University Walk, Bristol, BS8 1TD UK
| | - Richard Apps
- School of Physiology, Pharmacology and Neuroscience, Biomedical Sciences Building, University of Bristol, Tankard’s Close, University Walk, Bristol, BS8 1TD UK
| | - Pavel Filip
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne’s Teaching Hospital, Brno, Czech Republic
| | - Mario Manto
- FNRS ULB-Erasme, 808 Route de Lennik, 1070 Bruxelles, Belgium
- Service des Neurosciences, UMons, 7000 Mons, Belgium
- Department of Neurology, Centre Hospitalier Universitaire (CHU) de Charleroi, 6000 Charleroi, Belgium
- Laboratoire de Médecine Expérimentale, Site Vésale, ULB Unité 222, 6110 Montigny-le-Tilleul, Belgium
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24
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Luo Y, Patel RP, Sarpong GA, Sasamura K, Sugihara I. Single axonal morphology and termination to cerebellar aldolase C stripes characterize distinct spinocerebellar projection systems originating from the thoracic spinal cord in the mouse. J Comp Neurol 2017; 526:681-706. [PMID: 29159952 DOI: 10.1002/cne.24360] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2017] [Revised: 10/25/2017] [Accepted: 11/07/2017] [Indexed: 12/30/2022]
Abstract
The spinocerebellar projection has an essential role in sensorimotor coordination of limbs and the trunk. Multiple groups of spinocerebellar projections have been identified in retrograde labeling studies. In this study, we aimed at characterizing projection patterns of these groups using a combination of anterograde labeling of the thoracic spinal cord and aldolase C immunostaining of longitudinal stripes of the cerebellar cortex in the mouse. We reconstructed 22 single spinocerebellar axons, wholly in the cerebellum and brain stem and partly, in the spinal cord. They were classified into three groups, (a) non-crossed axons of Clarke's column neurons (NCC, 8 axons), (b) non-crossed axons of marginal Clarke's column neurons (NMCC, 7 axons), and (c) crossed axons of neurons in the medial ventral horn (CMVH, 7 axons), based on previous retrograde labeling studies. While NCC axons projected mainly to multiple bilateral stripes in vermal lobules II-IV and VIII-IX, and the ipsilateral medial cerebellar nucleus, NMCC axons projected mainly to ipsilateral stripes in paravermal lobules II-V and copula pyramidis, and the anterior interposed nucleus. CMVH axons projected bilaterally to multiple stripes in lobules II-V with a small number of terminals but had abundant collaterals in the spinal cord and medullary reticular nuclei as well as in the vestibular and cerebellar nuclei. The results indicate that, while CMVH axons overlap with propriospinal and spinoreticular projections, NCC and NMCC axons are primarily spinocerebellar axons, which seem to be involved in relatively more proximal and distal sensorimotor controls, respectively.
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Affiliation(s)
- Yuanjun Luo
- Department of Systems Neurophysiology, Graduate School, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
| | - Radhika Pooja Patel
- Department of Systems Neurophysiology, Graduate School, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan.,Imperial College London Medicine MBBS/BSc, South Kensington Campus, London, SW7 2AZ, United Kingdom
| | - Gideon Anokye Sarpong
- Department of Systems Neurophysiology, Graduate School, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
| | - Kazuma Sasamura
- Department of Systems Neurophysiology, Graduate School, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
| | - Izumi Sugihara
- Department of Systems Neurophysiology, Graduate School, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan.,Center for Brain Integration Research, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
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25
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Sypkes CT, Kozlowski B, Grant J, Bent LR, McNeil CJ, Power GA. Spinal excitability is increased in the torque-depressed isometric steady state following active muscle shortening. ROYAL SOCIETY OPEN SCIENCE 2017; 4:171101. [PMID: 29291096 PMCID: PMC5717670 DOI: 10.1098/rsos.171101] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 10/25/2017] [Indexed: 06/07/2023]
Abstract
Torque depression (TD) is the reduction in steady-state isometric torque following active muscle shortening when compared with a purely isometric contraction at the same muscle length and level of activation. The purpose of the present study was to assess spinal and supraspinal excitability in the TD state during submaximal contractions of the dorsiflexors. Eleven young (24 ± 2 yrs) males performed 16 contractions at a constant level of electromyographic activity (40% of maximum). Half of the contractions were purely isometric (8 s at an ankle angle of 100°), whereas the other half induced TD (2 s isometric at 140°, a 1 s shortening phase at 40° s-1 and 5 s at 100°). Motor evoked potentials (MEPs), cervicomedullary motor evoked potentials (CMEPs) and compound muscle action potentials (M-waves) were recorded from tibialis anterior during the TD steady-state and purely isometric contractions. When compared with values in the purely isometric condition, following active shortening, there was a 13% decrease in torque (p < 0.05), with a 10% increase in normalized CMEP amplitude (CMEP/Mmax) (p < 0.05) and no change in normalized MEP amplitude (MEP/CMEP) in the TD state (p > 0.05). These findings indicate that during voluntary contractions in the TD state, the history-dependent properties of muscle can increase spinal excitability and influence voluntary control of submaximal torque production.
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Affiliation(s)
- Caleb T. Sypkes
- Department of Human Health and Nutritional Sciences, College of Biological Sciences, University of Guelph, Guelph, Ontario, Canada
| | - Benjamin Kozlowski
- Department of Human Health and Nutritional Sciences, College of Biological Sciences, University of Guelph, Guelph, Ontario, Canada
| | - Jordan Grant
- Department of Human Health and Nutritional Sciences, College of Biological Sciences, University of Guelph, Guelph, Ontario, Canada
| | - Leah R. Bent
- Department of Human Health and Nutritional Sciences, College of Biological Sciences, University of Guelph, Guelph, Ontario, Canada
| | - Chris J. McNeil
- Centre for Heart, Lung and Vascular Health, School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Geoffrey A. Power
- Department of Human Health and Nutritional Sciences, College of Biological Sciences, University of Guelph, Guelph, Ontario, Canada
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26
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Weeks HM, Therrien AS, Bastian AJ. Proprioceptive Localization Deficits in People With Cerebellar Damage. THE CEREBELLUM 2017; 16:427-437. [PMID: 27538404 DOI: 10.1007/s12311-016-0819-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
It has been hypothesized that an important function of the cerebellum is predicting the state of the body during movement. Yet, the extent of cerebellar involvement in perception of limb state (i.e., proprioception, specifically limb position sense) has yet to be determined. Here, we investigated whether patients with cerebellar damage have deficits when trying to locate their hand in space (i.e., proprioceptive localization), which is highly important for everyday movements. By comparing performance during passive robot-controlled and active self-made multi-joint movements, we were able to determine that some cerebellar patients show improved precision during active movement (i.e., active benefit), comparable to controls, whereas other patients have reduced active benefit. Importantly, the differences in patient performance are not explained by patient diagnosis or clinical ratings of impairment. Furthermore, a subsequent experiment confirmed that active deficits in proprioceptive localization occur during both single-joint and multi-joint movements. As such, it is unlikely that localization deficits can be explained by the multi-joint coordination deficits occurring after cerebellar damage. Our results suggest that cerebellar damage may cause varied impairments to different elements of proprioceptive sense. It follows that proprioceptive localization should be adequately accounted for in clinical testing and rehabilitation of people with cerebellar damage.
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Affiliation(s)
- Heidi M Weeks
- Department of Biomedical Engineering, The Johns Hopkins School of Medicine, Baltimore, MD, USA.,Kennedy Krieger Institute, 707 N. Broadway, G04, Baltimore, MD, 21205, USA
| | - Amanda S Therrien
- Kennedy Krieger Institute, 707 N. Broadway, G04, Baltimore, MD, 21205, USA.,Department of Neuroscience, The Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Amy J Bastian
- Kennedy Krieger Institute, 707 N. Broadway, G04, Baltimore, MD, 21205, USA. .,Department of Neuroscience, The Johns Hopkins School of Medicine, Baltimore, MD, USA.
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Lai HC, Seal RP, Johnson JE. Making sense out of spinal cord somatosensory development. Development 2017; 143:3434-3448. [PMID: 27702783 DOI: 10.1242/dev.139592] [Citation(s) in RCA: 121] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The spinal cord integrates and relays somatosensory input, leading to complex motor responses. Research over the past couple of decades has identified transcription factor networks that function during development to define and instruct the generation of diverse neuronal populations within the spinal cord. A number of studies have now started to connect these developmentally defined populations with their roles in somatosensory circuits. Here, we review our current understanding of how neuronal diversity in the dorsal spinal cord is generated and we discuss the logic underlying how these neurons form the basis of somatosensory circuits.
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Affiliation(s)
- Helen C Lai
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Rebecca P Seal
- Department of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15260, USA
| | - Jane E Johnson
- Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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28
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Ziskind-Conhaim L, Hochman S. Diversity of molecularly defined spinal interneurons engaged in mammalian locomotor pattern generation. J Neurophysiol 2017; 118:2956-2974. [PMID: 28855288 DOI: 10.1152/jn.00322.2017] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 08/29/2017] [Accepted: 08/30/2017] [Indexed: 01/18/2023] Open
Abstract
Mapping the expression of transcription factors in the mouse spinal cord has identified ten progenitor domains, four of which are cardinal classes of molecularly defined, ventrally located interneurons that are integrated in the locomotor circuitry. This review focuses on the properties of these interneuronal populations and their contribution to hindlimb locomotor central pattern generation. Interneuronal populations are categorized based on their excitatory or inhibitory functions and their axonal projections as predictors of their role in locomotor rhythm generation and coordination. The synaptic connectivity and functions of these interneurons in the locomotor central pattern generators (CPGs) have been assessed by correlating their activity patterns with motor output responses to rhythmogenic neurochemicals and sensory and descending fibers stimulations as well as analyzing kinematic gait patterns in adult mice. The observed complex organization of interneurons in the locomotor CPG circuitry, some with seemingly similar physiological functions, reflects the intricate repertoire associated with mammalian motor control and is consistent with high transcriptional heterogeneity arising from cardinal interneuronal classes. This review discusses insights derived from recent studies to describe innovative approaches and limitations in experimental model systems and to identify missing links in current investigational enterprise.
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Affiliation(s)
- Lea Ziskind-Conhaim
- Department of Neuroscience, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin; and
| | - Shawn Hochman
- Department of Physiology, Emory University School of Medicine, Atlanta, Georgia
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29
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Different subregional metabolism patterns in patients with cerebellar ataxia by 18F-fluorodeoxyglucose positron emission tomography. PLoS One 2017; 12:e0173275. [PMID: 28319124 PMCID: PMC5358749 DOI: 10.1371/journal.pone.0173275] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 02/17/2017] [Indexed: 11/19/2022] Open
Abstract
We evaluated cerebellar subregional metabolic alterations in patients with cerebellar ataxia, a representative disease involving the spinocerebellum. We retrospectively analyzed 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) images in 44 patients with multiple system atrophy of the cerebellar type (MSA-C), 9 patients with spinocerebellar ataxia (SCA) type 2, and 14 patients with SCA type 6 and compared with 15 patients with crossed cerebellar diaschisis (CCD) and 89 normal controls. Cerebellar subregional metabolism was assessed using 13 cerebellar subregions (bilateral anterior lobes [ANT], superior/mid/inferior posterior lobes [SUPP/MIDP/INFP], dentate nucleus [DN], anterior vermis [ANTV], and superior/inferior posterior vermis [SUPV/INFV]) to determine FDG uptake ratios. MSA-C and SCA type 2 showed severely decreased metabolic ratios in all cerebellar subregions compared to normal controls (ANT, 0.58 ± 0.08 and 0.50 ± 0.06 vs. 0.82 ± 0.07, respectively, p < 0.001). SCA type 6 showed lower metabolic ratios in almost all cerebellar subregions (ANT, 0.57 ± 0.06, p < 0.001) except INFV. Anterior-posterior lobe ratio measurements revealed that SCA type 2 (Right, 0.81 ± 0.05 vs. 0.88 ± 0.04, p < 0.001; Left, 0.83 ± 0.05 vs. 0.88 ± 0.04, p = 0.003) and SCA type 6 (Right, 0.72 ± 0.05 vs. 0.88 ± 0.04, p < 0.001; Left, 0.72 ± 0.05 vs. 0.88 ± 0.04, p < 0.001) showed preferential hypometabolism in the anterior lobe compared to normal controls, which was not observed in CCD and MSA-C. Asymmetric indices were higher in CCD and MSA-C than in normal controls (p < 0.001), whereas such differences were not found in SCA types 2 and 6. In summary, quantitative analysis of cerebellar subregional metabolism ratios revealed preferential involvement of the anterior lobe, corresponding to the spinocerebellum, in patients with cerebellar ataxia, whereas patients with CCD and MSA-C exhibited more asymmetric hypometabolism in the posterior lobe.
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Ostry DJ, Gribble PL. Sensory Plasticity in Human Motor Learning. Trends Neurosci 2016; 39:114-123. [PMID: 26774345 DOI: 10.1016/j.tins.2015.12.006] [Citation(s) in RCA: 120] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2015] [Revised: 12/07/2015] [Accepted: 12/10/2015] [Indexed: 12/28/2022]
Abstract
There is accumulating evidence from behavioral, neurophysiological, and neuroimaging studies that the acquisition of motor skills involves both perceptual and motor learning. Perceptual learning alters movements, motor learning, and motor networks of the brain. Motor learning changes perceptual function and the sensory circuits of the brain. Here, we review studies of both human limb movement and speech that indicate that plasticity in sensory and motor systems is reciprocally linked. Taken together, this points to an approach to motor learning in which perceptual learning and sensory plasticity have a fundamental role.
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Affiliation(s)
- David J Ostry
- McGill University, Montreal, QC, Canada; Haskins Laboratories, New Haven, CT, USA.
| | - Paul L Gribble
- Haskins Laboratories, New Haven, CT, USA; University of Western Ontario, London, ON, Canada
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31
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Ishikawa T, Tomatsu S, Izawa J, Kakei S. The cerebro-cerebellum: Could it be loci of forward models? Neurosci Res 2015; 104:72-9. [PMID: 26704591 DOI: 10.1016/j.neures.2015.12.003] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Revised: 11/26/2015] [Accepted: 12/01/2015] [Indexed: 10/22/2022]
Abstract
It is widely accepted that the cerebellum acquires and maintain internal models for motor control. An internal model simulates mapping between a set of causes and effects. There are two candidates of cerebellar internal models, forward models and inverse models. A forward model transforms a motor command into a prediction of the sensory consequences of a movement. In contrast, an inverse model inverts the information flow of the forward model. Despite the clearly different formulations of the two internal models, it is still controversial whether the cerebro-cerebellum, the phylogenetically newer part of the cerebellum, provides inverse models or forward models for voluntary limb movements or other higher brain functions. In this article, we review physiological and morphological evidence that suggests the existence in the cerebro-cerebellum of a forward model for limb movement. We will also discuss how the characteristic input-output organization of the cerebro-cerebellum may contribute to forward models for non-motor higher brain functions.
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Affiliation(s)
- Takahiro Ishikawa
- Motor Disorders Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan
| | - Saeka Tomatsu
- Department of Neurophysiology, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan
| | - Jun Izawa
- Faculty of Engineering, Information and Systems, University of Tsukuba, Ibaraki 305-8573, Japan
| | - Shinji Kakei
- Motor Disorders Project, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan.
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Sauerbrei BA, Lubenov EV, Siapas AG. Structured Variability in Purkinje Cell Activity during Locomotion. Neuron 2015; 87:840-52. [PMID: 26291165 DOI: 10.1016/j.neuron.2015.08.003] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 06/19/2015] [Accepted: 08/03/2015] [Indexed: 10/23/2022]
Abstract
The cerebellum is a prominent vertebrate brain structure that is critically involved in sensorimotor function. During locomotion, cerebellar Purkinje cells are rhythmically active, shaping descending signals and coordinating commands from higher brain areas with the step cycle. However, the variation in this activity across steps has not been studied, and its statistical structure, afferent mechanisms, and relationship to behavior remain unknown. Here, using multi-electrode recordings in freely moving rats, we show that behavioral variables systematically influence the shape of the step-locked firing rate. This effect depends strongly on the phase of the step cycle and reveals a functional clustering of Purkinje cells. Furthermore, we find a pronounced disassociation between patterns of variability driven by the parallel and climbing fibers. These results suggest that Purkinje cell activity not only represents step phase within each cycle but also is shaped by behavior across steps, facilitating control of movement under dynamic conditions.
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Affiliation(s)
- Britton A Sauerbrei
- Computation and Neural Systems Program, California Institute of Technology, Pasadena, CA 91125, USA
| | - Evgueniy V Lubenov
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Athanassios G Siapas
- Computation and Neural Systems Program, California Institute of Technology, Pasadena, CA 91125, USA; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA.
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33
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Origin of a Non-Clarke's Column Division of the Dorsal Spinocerebellar Tract and the Role of Caudal Proprioceptive Neurons in Motor Function. Cell Rep 2015; 13:1258-1271. [PMID: 26527010 DOI: 10.1016/j.celrep.2015.09.064] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Revised: 08/24/2015] [Accepted: 09/22/2015] [Indexed: 01/09/2023] Open
Abstract
Proprioception, the sense of limb and body position, is essential for generating proper movement. Unconscious proprioceptive information travels through cerebellar-projecting neurons in the spinal cord and medulla. The progenitor domain defined by the basic-helix-loop-helix (bHLH) transcription factor, ATOH1, has been implicated in forming these cerebellar-projecting neurons; however, their precise contribution to proprioceptive tracts and motor behavior is unknown. Significantly, we demonstrate that Atoh1-lineage neurons in the spinal cord reside outside Clarke's column (CC), a main contributor of neurons relaying hindlimb proprioception, despite giving rise to the anatomical and functional correlate of CC in the medulla, the external cuneate nucleus (ECu), which mediates forelimb proprioception. Elimination of caudal Atoh1-lineages results in mice with relatively normal locomotion but unable to perform coordinated motor tasks. Altogether, we reveal that proprioceptive nuclei in the spinal cord and medulla develop from more than one progenitor source, suggesting an avenue to uncover distinct proprioceptive functions.
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Jiang J, Azim E, Ekerot CF, Alstermark B. Direct and indirect spino-cerebellar pathways: shared ideas but different functions in motor control. Front Comput Neurosci 2015. [PMID: 26217214 PMCID: PMC4491712 DOI: 10.3389/fncom.2015.00075] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The impressive precision of mammalian limb movements relies on internal feedback pathways that convey information about ongoing motor output to cerebellar circuits. The spino-cerebellar tracts (SCT) in the cervical, thoracic and lumbar spinal cord have long been considered canonical neural substrates for the conveyance of internal feedback signals. Here we consider the distinct features of an indirect spino-cerebellar route, via the brainstem lateral reticular nucleus (LRN), and the implications of this pre-cerebellar “detour” for the execution and evolution of limb motor control. Both direct and indirect spino-cerebellar pathways signal spinal interneuronal activity to the cerebellum during movements, but evidence suggests that direct SCT neurons are mainly modulated by rhythmic activity, whereas the LRN also receives information from systems active during postural adjustment, reaching and grasping. Thus, while direct and indirect spino-cerebellar circuits can both be regarded as internal copy pathways, it seems likely that the direct system is principally dedicated to rhythmic motor acts like locomotion, while the indirect system also provides a means of pre-cerebellar integration relevant to the execution and coordination of dexterous limb movements.
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Affiliation(s)
- Juan Jiang
- Department of Integrative Medical Biology, Section of Physiology, Umeå University Umeå, Sweden
| | - Eiman Azim
- Departments of Neuroscience and Biochemistry and Molecular Biophysics, Howard Hughes Medical Institute, Kavli Institute for Brain Science, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University New York, NY, USA
| | | | - Bror Alstermark
- Department of Integrative Medical Biology, Section of Physiology, Umeå University Umeå, Sweden
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35
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Rahimi-Balaei M, Afsharinezhad P, Bailey K, Buchok M, Yeganeh B, Marzban H. Embryonic stages in cerebellar afferent development. CEREBELLUM & ATAXIAS 2015; 2:7. [PMID: 26331050 PMCID: PMC4552263 DOI: 10.1186/s40673-015-0026-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Accepted: 05/19/2015] [Indexed: 02/04/2023]
Abstract
The cerebellum is important for motor control, cognition, and language processing. Afferent and efferent fibers are major components of cerebellar circuitry and impairment of these circuits causes severe cerebellar malfunction, such as ataxia. The cerebellum receives information from two major afferent types – climbing fibers and mossy fibers. In addition, a third set of afferents project to the cerebellum as neuromodulatory fibers. The spatiotemporal pattern of early cerebellar afferents that enter the developing embryonic cerebellum is not fully understood. In this review, we will discuss the cerebellar architecture and connectivity specifically related to afferents during development in different species. We will also consider the order of afferent fiber arrival into the developing cerebellum to establish neural connectivity.
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Affiliation(s)
- Maryam Rahimi-Balaei
- Department of Human Anatomy and Cell Science, College of Medicine, Faculty of Health Sciences, University of Manitoba, Rm129, BMSB, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9 Canada ; College of Medicine, Faculty of Health Sciences, Manitoba Institute of Child Health (MICH), University of Manitoba, Winnipeg, Manitoba Canada
| | - Pegah Afsharinezhad
- Department of Human Anatomy and Cell Science, College of Medicine, Faculty of Health Sciences, University of Manitoba, Rm129, BMSB, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9 Canada
| | - Karen Bailey
- Department of Human Anatomy and Cell Science, College of Medicine, Faculty of Health Sciences, University of Manitoba, Rm129, BMSB, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9 Canada
| | - Matthew Buchok
- Department of Human Anatomy and Cell Science, College of Medicine, Faculty of Health Sciences, University of Manitoba, Rm129, BMSB, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9 Canada
| | - Behzad Yeganeh
- Program in Physiology and Experimental Medicine, Hospital for Sick Children and University of Toronto, Toronto, Ontario Canada
| | - Hassan Marzban
- Department of Human Anatomy and Cell Science, College of Medicine, Faculty of Health Sciences, University of Manitoba, Rm129, BMSB, 745 Bannatyne Avenue, Winnipeg, Manitoba R3E 0J9 Canada ; College of Medicine, Faculty of Health Sciences, Manitoba Institute of Child Health (MICH), University of Manitoba, Winnipeg, Manitoba Canada
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36
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McCall AA, Miller DJ, Catanzaro MF, Cotter LA, Yates BJ. Hindlimb movement modulates the activity of rostral fastigial nucleus neurons that process vestibular input. Exp Brain Res 2015; 233:2411-9. [PMID: 25976518 DOI: 10.1007/s00221-015-4311-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Accepted: 05/04/2015] [Indexed: 12/20/2022]
Abstract
Integration of vestibular and proprioceptive afferent information within the central nervous system is a critical component of postural regulation. We recently demonstrated that labyrinthine and hindlimb signals converge onto vestibular nucleus neurons, such that hindlimb movement modulates the activity of these cells. However, it is unclear whether similar convergence of hindlimb and vestibular signals also occurs upstream from the vestibular nuclei, particularly in the rostral fastigial nucleus (rFN). We tested the hypothesis that rFN neurons have similar responses to hindlimb movement as vestibular nucleus neurons. Recordings were obtained from 53 rFN neurons that responded to hindlimb movement in decerebrate cats. In contrast to vestibular nucleus neurons, which commonly encoded the direction of hindlimb movement (81 % of neurons), few rFN neurons (21 %) that responded to leg movement encoded such information. Instead, most rFN neurons responded to both limb flexion and extension. Half of the rFN neurons whose activity was modulated by hindlimb movement received convergent vestibular inputs. These results show that rFN neurons receive somatosensory inputs from the hindlimb and that a subset of rFN neurons integrates vestibular and hindlimb signals. Such rFN neurons likely perform computations that participate in maintenance of balance during upright stance and movement. Although vestibular nucleus neurons are interconnected with the rFN, the dissimilarity of responses of neurons sensitive to hindlimb movement in the two regions suggests that they play different roles in coordinating postural responses during locomotion and other movements which entail changes in limb position.
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Affiliation(s)
- Andrew A McCall
- Department of Otolaryngology, Eye and Ear Institute, University of Pittsburgh, 203 Lothrop Street, Suite 500, Pittsburgh, PA, 15213, USA,
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Baumann O, Borra RJ, Bower JM, Cullen KE, Habas C, Ivry RB, Leggio M, Mattingley JB, Molinari M, Moulton EA, Paulin MG, Pavlova MA, Schmahmann JD, Sokolov AA. Consensus paper: the role of the cerebellum in perceptual processes. CEREBELLUM (LONDON, ENGLAND) 2015; 14:197-220. [PMID: 25479821 PMCID: PMC4346664 DOI: 10.1007/s12311-014-0627-7] [Citation(s) in RCA: 287] [Impact Index Per Article: 31.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Various lines of evidence accumulated over the past 30 years indicate that the cerebellum, long recognized as essential for motor control, also has considerable influence on perceptual processes. In this paper, we bring together experts from psychology and neuroscience, with the aim of providing a succinct but comprehensive overview of key findings related to the involvement of the cerebellum in sensory perception. The contributions cover such topics as anatomical and functional connectivity, evolutionary and comparative perspectives, visual and auditory processing, biological motion perception, nociception, self-motion, timing, predictive processing, and perceptual sequencing. While no single explanation has yet emerged concerning the role of the cerebellum in perceptual processes, this consensus paper summarizes the impressive empirical evidence on this problem and highlights diversities as well as commonalities between existing hypotheses. In addition to work with healthy individuals and patients with cerebellar disorders, it is also apparent that several neurological conditions in which perceptual disturbances occur, including autism and schizophrenia, are associated with cerebellar pathology. A better understanding of the involvement of the cerebellum in perceptual processes will thus likely be important for identifying and treating perceptual deficits that may at present go unnoticed and untreated. This paper provides a useful framework for further debate and empirical investigations into the influence of the cerebellum on sensory perception.
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Affiliation(s)
- Oliver Baumann
- Queensland Brain Institute, The University of Queensland, St. Lucia, Queensland, Australia,
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A role for mixed corollary discharge and proprioceptive signals in predicting the sensory consequences of movements. J Neurosci 2015; 34:16103-16. [PMID: 25429151 DOI: 10.1523/jneurosci.2751-14.2014] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Animals must distinguish behaviorally relevant patterns of sensory stimulation from those that are attributable to their own movements. In principle, this distinction could be made based on internal signals related to motor commands, known as corollary discharge (CD), sensory feedback, or some combination of both. Here we use an advantageous model system--the electrosensory lobe (ELL) of weakly electric mormyrid fish--to directly examine how CD and proprioceptive feedback signals are transformed into negative images of the predictable electrosensory consequences of the fish's motor commands and/or movements. In vivo recordings from ELL neurons and theoretical modeling suggest that negative images are formed via anti-Hebbian plasticity acting on random, nonlinear mixtures of CD and proprioception. In support of this, we find that CD and proprioception are randomly mixed in spinal mossy fibers and that properties of granule cells are consistent with a nonlinear recoding of these signals. The mechanistic account provided here may be relevant to understanding how internal models of movement consequences are implemented in other systems in which similar components (e.g., mixed sensory and motor signals and synaptic plasticity) are found.
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39
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Martínez-Silva L, Manjarrez E, Gutiérrez-Ospina G, Quevedo JN. Electrophysiological representation of scratching CpG activity in the cerebellum. PLoS One 2014; 9:e109936. [PMID: 25350378 PMCID: PMC4211676 DOI: 10.1371/journal.pone.0109936] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Accepted: 09/14/2014] [Indexed: 11/19/2022] Open
Abstract
We analyzed the electrical activity of neuronal populations in the cerebellum and the lumbar spinal cord during fictive scratching in adult decerebrate cats before and after selective sections of the Spino-Reticulo Cerebellar Pathway (SRCP) and the Ventral-Spino Cerebellar Tract (VSCT). During fictive scratching, we found a conspicuous sinusoidal electrical activity, called Sinusoidal Cerebellar Potentials (SCPs), in the cerebellar vermis, which exhibited smaller amplitude in the paravermal and hemisphere cortices. There was also a significant spino-cerebellar coherence between these SCPs and the lumbar sinusoidal cord dorsum potentials (SCDPs). However, during spontaneous activity such spino-cerebellar coherence between spontaneous potentials recorded in the same regions decreased. We found that the section of the SRCP and the VSCT did not abolish the amplitude of the SCPs, suggesting that there are additional pathways conveying information from the spinal CPG to the cerebellum. This is the first evidence that the sinusoidal activity associated to the spinal CPG circuitry for scratching has a broad representation in the cerebellum beyond the sensory representation from hindlimbs previously described. Furthermore, the SCPs represent the global electrical activity of the spinal CPG for scratching in the cerebellar cortex.
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Affiliation(s)
| | - Elias Manjarrez
- Instituto de Fisiología, BUAP, Puebla, México
- * E-mail: (JNQ); (EM)
| | | | - Jorge N. Quevedo
- Departamento de Fisiología, Biofísica y Neurociencias CINVESTAV, México City, México
- * E-mail: (JNQ); (EM)
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40
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Spanne A, Geborek P, Bengtsson F, Jörntell H. Simulating spinal border cells and cerebellar granule cells under locomotion--a case study of spinocerebellar information processing. PLoS One 2014; 9:e107793. [PMID: 25226298 PMCID: PMC4166671 DOI: 10.1371/journal.pone.0107793] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2013] [Accepted: 08/23/2014] [Indexed: 11/18/2022] Open
Abstract
The spinocerebellar systems are essential for the brain in the performance of coordinated movements, but our knowledge about the spinocerebellar interactions is very limited. Recently, several crucial pieces of information have been acquired for the spinal border cell (SBC) component of the ventral spinocerebellar tract (VSCT), as well as the effects of SBC mossy fiber activation in granule cells of the cerebellar cortex. SBCs receive monosynaptic input from the reticulospinal tract (RST), which is an important driving system under locomotion, and disynaptic inhibition from Ib muscle afferents. The patterns of activity of RST neurons and Ib afferents under locomotion are known. The activity of VSCT neurons under fictive locomotion, i.e. without sensory feedback, is also known, but there is little information on how these neurons behave under actual locomotion and for cerebellar granule cells receiving SBC input this is completely unknown. But the available information makes it possible to simulate the interactions between the spinal and cerebellar neuronal circuitries with a relatively large set of biological constraints. Using a model of the various neuronal elements and the network they compose, we simulated the modulation of the SBCs and their target granule cells under locomotion and hence generated testable predictions of their general pattern of modulation under this condition. This particular system offers a unique opportunity to simulate these interactions with a limited number of assumptions, which helps making the model biologically plausible. Similar principles of information processing may be expected to apply to all spinocerebellar systems.
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Affiliation(s)
- Anton Spanne
- Neural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - Pontus Geborek
- Neural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - Fredrik Bengtsson
- Neural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - Henrik Jörntell
- Neural Basis of Sensorimotor Control, Department of Experimental Medical Science, Lund University, Lund, Sweden
- * E-mail:
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41
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Plastic corollary discharge predicts sensory consequences of movements in a cerebellum-like circuit. Neuron 2014; 82:896-907. [PMID: 24853945 DOI: 10.1016/j.neuron.2014.03.025] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/19/2014] [Indexed: 11/21/2022]
Abstract
The capacity to predict the sensory consequences of movements is critical for sensory, motor, and cognitive function. Though it is hypothesized that internal signals related to motor commands, known as corollary discharge, serve to generate such predictions, this process remains poorly understood at the neural circuit level. Here we demonstrate that neurons in the electrosensory lobe (ELL) of weakly electric mormyrid fish generate negative images of the sensory consequences of the fish's own movements based on ascending spinal corollary discharge signals. These results generalize previous findings describing mechanisms for generating negative images of the effects of the fish's specialized electric organ discharge (EOD) and suggest that a cerebellum-like circuit endowed with associative synaptic plasticity acting on corollary discharge can solve the complex and ubiquitous problem of predicting sensory consequences of movements.
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42
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Sengul G, Fu Y, Yu Y, Paxinos G. Spinal cord projections to the cerebellum in the mouse. Brain Struct Funct 2014; 220:2997-3009. [DOI: 10.1007/s00429-014-0840-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Accepted: 07/02/2014] [Indexed: 12/18/2022]
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Pivetta C, Esposito MS, Sigrist M, Arber S. Motor-circuit communication matrix from spinal cord to brainstem neurons revealed by developmental origin. Cell 2014; 156:537-48. [PMID: 24485459 DOI: 10.1016/j.cell.2013.12.014] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2013] [Revised: 10/31/2013] [Accepted: 12/09/2013] [Indexed: 12/22/2022]
Abstract
Accurate motor-task execution relies on continuous comparison of planned and performed actions. Motor-output pathways establish internal circuit collaterals for this purpose. Here we focus on motor collateral organization between spinal cord and upstream neurons in the brainstem. We used a newly developed mouse genetic tool intersectionally with viruses to uncover the connectivity rules of these ascending pathways by capturing the transient expression of neuronal subpopulation determinants. We reveal a widespread and diverse network of spinal dual-axon neurons, with coincident input to forelimb motor neurons and the lateral reticular nucleus (LRN) in the brainstem. Spinal information to the LRN is not segregated by motor pool or neurotransmitter identity. Instead, it is organized according to the developmental domain origin of the progenitor cells. Thus, excerpts of most spinal information destined for action are relayed to supraspinal centers through exquisitely organized ascending connectivity modules, enabling precise communication between command and execution centers of movement.
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Affiliation(s)
- Chiara Pivetta
- Biozentrum, Department of Cell Biology, University of Basel, Basel 4056, Switzerland; Friedrich Miescher Institute for Biomedical Research, Basel 4058, Switzerland
| | - Maria Soledad Esposito
- Biozentrum, Department of Cell Biology, University of Basel, Basel 4056, Switzerland; Friedrich Miescher Institute for Biomedical Research, Basel 4058, Switzerland
| | - Markus Sigrist
- Biozentrum, Department of Cell Biology, University of Basel, Basel 4056, Switzerland; Friedrich Miescher Institute for Biomedical Research, Basel 4058, Switzerland
| | - Silvia Arber
- Biozentrum, Department of Cell Biology, University of Basel, Basel 4056, Switzerland; Friedrich Miescher Institute for Biomedical Research, Basel 4058, Switzerland.
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Osório A, Soares JM, Prieto MF, Vasconcelos C, Fernandes C, Sousa S, Carracedo A, Gonçalves OF, Sampaio A. Cerebral and cerebellar MRI volumes in Williams syndrome. RESEARCH IN DEVELOPMENTAL DISABILITIES 2014; 35:922-928. [PMID: 24529862 DOI: 10.1016/j.ridd.2013.12.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Revised: 12/26/2013] [Accepted: 12/30/2013] [Indexed: 06/03/2023]
Abstract
Individuals with Williams syndrome (WS) present a set of cognitive, affective and motor symptoms that resemble those of patients with lesions to the cerebellum. Although there is some evidence for overall structural alterations in this brain region in WS, explorations on cerebellar white matter and cerebellar cortex volumes remain rather neglected. We aimed to compare absolute and relative cerebellar volumes, as well as patterns of white matter to cortex volumes in this brain region, between a group of individuals with WS and a group of healthy controls. T1-weighted magnetic resonance images were acquired in 17 individuals with WS and in 15 typically developing individuals. Our results showed that even though individuals from the clinical group had significantly smaller cerebrums (and cerebellums), cerebellar volumes relative to intracranial volumes were significantly enlarged. In addition, while gray matter was relatively spared and white matter disproportionately reduced in the cerebrum in WS, relative cerebellar cortex and white matter volumes were preserved. These findings support the hypothesis that volume alterations in the cerebellum are associated with the cognitive, affective and motor profiles in WS.
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Affiliation(s)
- Ana Osório
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal.
| | - José Miguel Soares
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Minho, Portugal; ICVS/3B's-PT Government Associated Laboratory, Guimarães, Braga, Portugal; Clinical Academic Center, Braga, Portugal
| | - Montse Fernández Prieto
- Biomedical Research Center Network for Rare Diseases (CIBERER), University of Santiago of Compostela, Santiago de Compostela, Spain; Genetic Molecular Unit, Galician Public Foundation of Genomic Medicine, Galicia, Spain
| | | | - Catarina Fernandes
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal
| | - Sónia Sousa
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal
| | - Angel Carracedo
- Biomedical Research Center Network for Rare Diseases (CIBERER), University of Santiago of Compostela, Santiago de Compostela, Spain; Genetic Molecular Unit, Galician Public Foundation of Genomic Medicine, Galicia, Spain
| | - Oscar F Gonçalves
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal; Department of Counseling and Educational Psychology, Bouvé College of Health Sciences, Northeastern University, Boston, USA
| | - Adriana Sampaio
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal
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Jang SH, Kwon HG. Diffusion tensor tractography for the dorsal spinocerebellar tract in the human brain. Somatosens Mot Res 2013; 31:7-10. [PMID: 23863105 DOI: 10.3109/08990220.2013.813843] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Using diffusion tensor tractography, we attempted to investigate and identify the anatomy of the dorsal spinocerebellar tract (SCT) in the human brain. We recruited 26 healthy volunteers. The dorsal SCT was determined by selection of fibers passing through three regions of interest. We found that all dorsal SCTs terminated in the ipsilateral cerebellum; in contrast, in 25 (48%) of 52 hemispheres, the dorsal SCT crossed into the contralateral hemisphere via the vermis of the anterior lobe.
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Affiliation(s)
- Sung Ho Jang
- Department of Physical Medicine and Rehabilitation, College of Medicine, Yeungnam University , Daegu , Republic of Korea
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Stecina K, Fedirchuk B, Hultborn H. Information to cerebellum on spinal motor networks mediated by the dorsal spinocerebellar tract. J Physiol 2013; 591:5433-43. [PMID: 23613538 DOI: 10.1113/jphysiol.2012.249110] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
The main objective of this review is to re-examine the type of information transmitted by the dorsal and ventral spinocerebellar tracts (DSCT and VSCT respectively) during rhythmic motor actions such as locomotion. Based on experiments in the 1960s and 1970s, the DSCT was viewed as a relay of peripheral sensory input to the cerebellum in general, and during rhythmic movements such as locomotion and scratch. In contrast, the VSCT was seen as conveying a copy of the output of spinal neuronal circuitry, including those circuits generating rhythmic motor activity (the spinal central pattern generator, CPG). Emerging anatomical and electrophysiological information on the putative subpopulations of DSCT and VSCT neurons suggest differentiated functions for some of the subpopulations. Multiple lines of evidence support the notion that sensory input is not the only source driving DSCT neurons and, overall, there is a greater similarity between DSCT and VSCT activity than previously acknowledged. Indeed the majority of DSCT cells can be driven by spinal CPGs for locomotion and scratch without phasic sensory input. It thus seems natural to propose the possibility that CPG input to some of these neurons may contribute to distinguishing sensory inputs that are a consequence of the active locomotion from those resulting from perturbations in the external world.
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Affiliation(s)
- Katinka Stecina
- K. Stecina: University of Copenhagen, Department of Neuroscience and Pharmacology, The Panum Institute, 33.3, Blegdamsvej 3, Copenhagen 2200, Denmark.
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Fedirchuk B, Stecina K, Kristensen KK, Zhang M, Meehan CF, Bennett DJ, Hultborn H. Rhythmic activity of feline dorsal and ventral spinocerebellar tract neurons during fictive motor actions. J Neurophysiol 2012; 109:375-88. [PMID: 23100134 DOI: 10.1152/jn.00649.2012] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Neurons of the dorsal spinocerebellar tracts (DSCT) have been described to be rhythmically active during walking on a treadmill in decerebrate cats, but this activity ceased following deafferentation of the hindlimb. This observation supported the hypothesis that DSCT neurons primarily relay the activity of hindlimb afferents during locomotion, but lack input from the spinal central pattern generator. The ventral spinocerebellar tract (VSCT) neurons, on the other hand, were found to be active during actual locomotion (on a treadmill) even after deafferentation, as well as during fictive locomotion (without phasic afferent feedback). In this study, we compared the activity of DSCT and VSCT neurons during fictive rhythmic motor behaviors. We used decerebrate cat preparations in which fictive motor tasks can be evoked while the animal is paralyzed and there is no rhythmic sensory input from hindlimb nerves. Spinocerebellar tract cells with cell bodies located in the lumbar segments were identified by electrophysiological techniques and examined by extra- and intracellular microelectrode recordings. During fictive locomotion, 57/81 DSCT and 30/30 VSCT neurons showed phasic, cycle-related activity. During fictive scratch, 19/29 DSCT neurons showed activity related to the scratch cycle. We provide evidence for the first time that locomotor and scratch drive potentials are present not only in VSCT, but also in the majority of DSCT neurons. These results demonstrate that both spinocerebellar tracts receive input from the central pattern generator circuitry, often sufficient to elicit firing in the absence of sensory input.
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Affiliation(s)
- Brent Fedirchuk
- University of Manitoba, Department of Physiology, Winnipeg, Manitoba, Canada
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Abstract
The cerebellum is a key-piece for information processing and is involved in numerous motor and nonmotor activities, thanks to the anatomical characteristics of the circuitry, the enormous computational capabilities and the high connectivity to other brain areas. Despite its uniform cytoarchitecture, cerebellar circuitry is segregated into functional zones. This functional parcellation is driven by the connectivity and the anatomo-functional heterogeneity of the numerous extra-cerebellar structures linked to the cerebellum, principally brain cortices, precerebellar nuclei and spinal cord. Major insights into cerebellar functions have been gained with a detailed analysis of the cerebellar outputs, with the evidence that fundamental aspects of cerebrocerebellar operations are the closed-loop circuit and the predictions of future states. Cerebellar diseases result in disturbances of accuracy of movements and lack of coordination. The cerebellar syndrome includes combinations of oculomotor disturbances, dysarthria and other speech deficits, ataxia of limbs, ataxia of stance and gait, as well as often more subtle cognitive/behavioral impairments. Our understanding of the corresponding anatomo-functional maps for the human cerebellum is continuously improving. We summarize the topography of the clinical deficits observed in cerebellar patients and the growing evidence of a regional subdivision into motor, sensory, sensorimotor, cognitive and affective domains. The recently described topographic dichotomy motor versus nonmotor cerebellum based upon anatomical, functional and neuropsychological studies is also discussed.
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Affiliation(s)
- Giuliana Grimaldi
- Service de Neurologie, Unité d'Etude du Mouvement, ULB Erasme, 808 Route de Lennik, Brussels, Belgium.
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Inhibitory inputs to four types of spinocerebellar tract neurons in the cat spinal cord. Neuroscience 2012; 226:253-69. [PMID: 22989920 DOI: 10.1016/j.neuroscience.2012.09.015] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2012] [Revised: 09/05/2012] [Accepted: 09/06/2012] [Indexed: 11/24/2022]
Abstract
Spinocerebellar tract neurons are inhibited by various sources of input via pathways activated by descending tracts as well as peripheral afferents. Inhibition may be used to modulate transmission of excitatory information forwarded to the cerebellum. However it may also provide information on the degree of inhibition of motoneurons and on the operation of inhibitory premotor neurons. Our aim was to extend previous comparisons of morphological substrates of excitation of spinocerebellar neurons to inhibitory input. Contacts formed by inhibitory axon terminals were characterised as either GABAergic, glycinergic or both GABAergic/glycinergic by using antibodies against vesicular GABA transporter, glutamic acid decarboxylase and gephyrin. Quantitative analysis revealed the presence of much higher proportions of inhibitory contacts when compared with excitatory contacts on spinal border (SB) neurons. However similar proportions of inhibitory and excitatory contacts were associated with ventral spinocerebellar tract (VSCT) and dorsal spinocerebellar tract neurons located in Clarke's column (ccDSCT) and the dorsal horn (dhDSCT). In all of the cells, the majority of inhibitory terminals were glycinergic. The density of contacts was higher on somata and proximal versus distal dendrites of SB and VSCT neurons but more evenly distributed in ccDSCT and dhDSCT neurons. Variations in the density and distribution of inhibitory contacts found in this study may reflect differences in information on inhibitory processes forwarded by subtypes of spinocerebellar tract neurons to the cerebellum.
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50
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Arber S. Motor Circuits in Action: Specification, Connectivity, and Function. Neuron 2012; 74:975-89. [DOI: 10.1016/j.neuron.2012.05.011] [Citation(s) in RCA: 187] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/14/2012] [Indexed: 10/28/2022]
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