Cerebellar—premotor cortex interactions underlying visuomotor adaptation
Open accessAbstract
Visuomotor adaptation (VMA) is a form of motor learning essential for performing day to day routines. Theoretical models and empirical evidence suggest a specific cortico-striato-cerebellar loop that mediates early and late learning in VMA. Here, we investigated dynamic changes in neural activity and connectivity when learning a novel visuomotor rotation using fMRI. We found that motor cortical regions, parietal cortex and cerebellum are recruited in the early phase of VMA, gradually reduce their activity as learning reaches plateau and rebound when the visuomotor rotation is removed. At this phase, dubbed de-adaptation, individual performance correlated with activity in motor and parietal cortex such that stronger activity was associated with better performance. Theory suggests that VMA is governed by the cortico-striato-cerebellar network during the early phase of learning and by the cortico-cerebellar loop at later stages. We tested this hypothesis using dynamic causal modelling and found distinct modulation of a cerebellar to dorsal premotor cortex (dPMC) loop. Specifically, the cerebellar to dPMC connection was modulated during adaptation, suggesting a release of inhibition and net excitatory effect of cerebellum on dPMC. The modulation of cerebellar to dPMC connection during de-adaptation was specifically related to behavioral learning parameter: stronger release of inhibition of the cerebellar to dPMC connection was associated with better de-adaptation. We interpret these findings to reflect dynamic interactions between representation of movement in cerebellum and visuomotor integration in dPMC.
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Neuroimaging studies repeatedly confirmed that cerebellar activity is increased during visuomotor adaptation in healthy subjects.
“Second, neuroimaging studies repeatedly confirmed that cerebellar activity is increased during visuomotor adaptation in healthy subjects (Bernard and Seidler, 2013; Küper et al., 2014; Tzvi 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 Tzvi et al., 2020
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“Using resting-state connectivity in healthy subjects, studies have shown functional changes in fronto-parietal-cerebellar networks (Albert et al., 2009; Sami and Miall, 2013) as well as motor cortex-cerebellar networks (Vahdat et al.”
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Welniarz, Q., Worbe, Y., & Gallea, C. (2021) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2021.644059 · Cited by 125 · see citing works
- Authors
- Tzvi, E., Koeth, F., Karabanov, A. N., Siebner, H. R., & Krämer, U. M.
- Affiliations
- Leipzig University (DE)
- University of Lübeck (DE)
- Hvidovre Hospital (DK)
- Corresponding author
- Tzvi, Elinor
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 220
- Pages
- 117142
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W3039429011
- Cited by
- 55
- References
- 6
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 10 · 2023: 7 · 2022: 5 · 2021: 11
- FWCI
- 3.10
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Deutsche Forschungsgemeinschaft
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- visuomotor adaptation, cerebellum, dorsal premotor cortex, deadaptation, visuomotor rotation, dynamic causal modeling, parietal cortex, motor learning, visual-motor integration, neuronal connectivity
- MeSH terms
- Adaptation, Physiological, Adult, Cerebellum, Female, Humans, Learning, Magnetic Resonance Imaging, Male, Models, Neurological, Motor Activity, Motor Cortex, Neural Pathways, Psychomotor Performance, Young Adult
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