Predictive Modeling by the Cerebellum Improves Proprioception
Open accessAbstract
Because sensation is delayed, real-time movement control requires not just sensing, but also predicting limb position, a function hypothesized for the cerebellum. Such cerebellar predictions could contribute to perception of limb position (i.e., proprioception), particularly when a person actively moves the limb. Here we show that human cerebellar patients have proprioceptive deficits compared with controls during active movement, but not when the arm is moved passively. Furthermore, when healthy subjects move in a force field with unpredictable dynamics, they have active proprioceptive deficits similar to cerebellar patients. Therefore, muscle activity alone is likely insufficient to enhance proprioception and predictability (i.e., an internal model of the body and environment) is important for active movement to benefit proprioception. We conclude that cerebellar patients have an active proprioceptive deficit consistent with disrupted movement prediction rather than an inability to generally enhance peripheral proprioceptive signals during action and suggest that active proprioceptive deficits should be considered a fundamental cerebellar impairment of clinical importance.
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Cerebellar patients rely more importantly on visual feedback as compared to healthy controls as if they were missing an internal forward model.
“cerebellar patients rely more importantly on visual feedback as compared to healthy controls as if they were missing an internal forward model (Day et al., 1998; Bhanpuri et al., 2013; Kakei et al., 2019; Tanaka et al., 2020; Zimmet et al., 2020).”
From The Forward Model: A Unifying Theory for the Role of the Cerebellum in Motor Control and Sense of Agency (2021) · cites this paper as Bhanpuri et al., 2013
The Introduction and Discussion report that cerebellar patients lack the improvement in active proprioception seen in controls and interpret this as impaired predictive modeling. But the tasks were performed without vision, so this paper does not establish that patients rely more on visual feedback than controls. The Discussion describes greater reliance on peripheral information, not specifically visual feedback. (LLM, conf=0.87)
Experimental — accuracy not yet measuredThis ability to anticipate likely represents the ability of the cerebellum to predictively model the motion environment.
“This ability to anticipate likely represents the ability of the cerebellum to predictively model the motion environment, is recently described by Bhanpuri et al. 2013.”
From Motion sickness: more than nausea and vomiting (2014) · cites this paper as Bhanpuri et al. 2013
Cerebellar patients have an active proprioceptive deficit consistent with disrupted movement prediction rather than an inability to enhance peripheral proprioceptive signals during the action.
“Cerebellar patients have an active proprioceptive deficit consistent with disrupted movement prediction rather than an inability to enhance peripheral proprioceptive signals during the action (Bhanpuri et al., 2013).”
From The Forward Model: A Unifying Theory for the Role of the Cerebellum in Motor Control and Sense of Agency (2021) · cites this paper as Bhanpuri et al., 2013
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“…reciprocal mechanisms involved in the regulation of the internal and the external motor and sensory milieus figure prominently (Bastian 2011; Bhanpuri et al. 2013; Brooks and Cullen 2009, 2013; Christensen et al. 2014; Criscimagna-Hemminger et al. 2010; Cullen 2012; McEwen and wingfield…”
BackgroundMethodWelniarz, Q., Worbe, Y., & Gallea, C. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.644059 · Cited by 125 · see citing works
- Authors
- Bhanpuri, N. H., Okamura, A. M., & Bastian, A. J.
- Affiliations
- Kennedy Krieger Institute (US)
- Johns Hopkins University (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2013-09-04
- Volume
- 33
- Issue
- 36
- Pages
- 14301-14306
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3761044
- OpenAlex
- W2054396568
- Cited by
- 145
- References
- 31
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 25 · 2023: 11 · 2022: 9 · 2021: 9 · 2020: 12 · 2019: 8 · 2018: 10 · 2017: 8 · 2016: 11 · 2015: 18 · 2014: 11
- FWCI
- 7.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Johns Hopkins University
- National Institutes of Health
- National Institute on Aging (P30AG028747)
- National Institute of Neurological Disorders and Stroke (F31NS070512, R21NS061189)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD040289)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Life Sciences › Neuroscience › Neurology › Vestibular and auditory disorders
- Keywords
- cerebellum, proprioception, active movement, cerebellar patients, proprioceptive deficits, force fields, internal models, motion prediction, passive movement
- MeSH terms
- Aged, Arm, Cerebellum, Female, Humans, Male, Middle Aged, Movement, Proprioception, Psychomotor Performance, Case-Control Studies, Spinocerebellar Ataxias
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