The cerebellum coordinates movement by fine-tuning motor execution
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Peer-reviewed literature establishes that the cerebellum plays a crucial role in coordinating movement, supporting motor execution, and managing temporal sequencing and error correction.
SUMMARY Throughout mammalian neocortex, layer 5 pyramidal (L5) cells project via the pons to a vast number of cerebellar granule cells (GrCs), forming a fundamental pathway. Yet it is unknown how neuronal dynamics are transformed through the L5→GrC pathway. Here, by directly comparing premotor L5 and GrC activity during a forelimb movement task using dual-site two-photon Ca2+ imaging, we found that in expert mice, L5 and GrC dynamics were highly similar. L5 cells and GrCs shared a common set of task-encoding activity patterns, possessed similar diversity of responses, and exhibited high correlations comparable to local correlations among L5 cells. Chronic imaging revealed that these dynamics co-emerged in cortex and cerebellum over learning: as behavioral performance improved, initially dissimilar L5 cells and GrCs converged onto a shared, low-dimensional, task-encoding set of neural activity patterns. Thus, a key function of cortico-cerebellar communication is the propagation of shared dynamics that emerge during learning.
The cerebellum can be viewed as supporting two distinct aspects of motor execution related to a) motor coordination and the sequence that imparts such movement temporal coherence and b) the reorganization of ongoing movement when a motor execution error occurs. The former has been referred to as “motor time binding” as it requires that the large numbers of motoneurons involved be precisely activated from a temporal perspective. By contrast, motor error correction requires the abrupt reorganization of ongoing motor sequences, on occasion sufficiently important to rescue the animal or person from potentially lethal situations. The olivo-cerebellar system plays an important role in both categories of motor control. In particular, the morphology and electrophysiology of inferior olivary neurons have been selected by evolution to execute a rather unique oscillatory pacemaking function, one required for temporal sequencing and a unique oscillatory phase resetting dynamic for error correction. Thus, inferior olivary (IO) neurons are electrically coupled through gap junctions, generating synchronous subthreshold oscillations of their membrane potential at a frequency of 1–10 Hz and are capable of fast and reliable phase resetting. Here I propose to address the role of the olivocerebellar system in the context of motor timing and reset.
Both the cerebellum and the basal ganglia are known for their roles in motor control and motivated behavior. These two systems have been classically considered as independent structures that coordinate their contributions to behavior via separate cortico-thalamic loops. However, recent evidence demonstrates the presence of a rich set of direct connections between these two regions. Although there is strong evidence for connections in both directions, for brevity we limit our discussion to the better-characterized connections from the cerebellum to the basal ganglia. We review two sets of such connections: disynaptic projections through the thalamus and direct monosynaptic projections to the midbrain dopaminergic nuclei, the VTA and the SNc. In each case, we review the evidence for these pathways from anatomic tracing and physiological recordings, and discuss their potential functional roles. We present evidence that the disynaptic pathway through the thalamus is involved in motor coordination, and that its dysfunction contributes to motor deficits, such as dystonia. We then discuss how cerebellar projections to the VTA and SNc influence dopamine release in the respective targets of these nuclei: the NAc and the dorsal striatum. We argue that the cerebellar projections to the VTA may play a role in reward-based learning and therefore contribute to addictive behavior, whereas the projection to the SNc may contribute to movement vigor. Finally, we speculate how these projections may explain many of the observations that indicate a role for the cerebellum in mental disorders, such as schizophrenia.
<h4>Background</h4>Cerebellar structural and functional abnormalities underlie widespread deficits in clinical, cognitive, and motor functioning that are observed in schizophrenia. Consequently, the cerebellum is a promising target for novel schizophrenia treatments. Here we conducted an updated systematic review examining the literature on cerebellar stimulation efficacy and tolerability for mitigating symptoms of schizophrenia. We discuss the purported mechanisms of cerebellar stimulation, current methods for implementing stimulation, and future directions of cerebellar stimulation for intervention development with this population.<h4>Methods</h4>Two independent authors identified 20 published studies (7 randomized controlled trials, 7 open-label studies, 1 pilot study, 4 case reports, 1 preclinical study) that describe the effects of cerebellar circuitry modulation in patients with schizophrenia or animal models of psychosis. Published studies up to October 11, 2022 were identified from a search within PubMed, Scopus, and PsycInfo.<h4>Results</h4>Most studies stimulating the cerebellum used transcranial magnetic stimulation or transcranial direct-current stimulation, specifically targeting the cerebellar vermis/midline. Accounting for levels of methodological rigor across studies, these studies detected post-cerebellar modulation in schizophrenia as indicated by the alleviation of certain clinical symptoms (mainly negative and depressive symptoms), as well as increased frontal-cerebellar connectivity and augmentation of canonical neuro-oscillations known to be abnormal in schizophrenia. In contrast to a prior review, we did not find consistent evidence for cognitive improvements following cerebellar modulation stimulation. Modern cerebellar stimulation methods appear tolerable for individuals with schizophrenia, with only mild and temporary side effects.<h4>Conclusion</h4>Cerebellar stimulation is a promising intervention for individuals with schizophrenia that may be more relevant to some symptom domains than others. Initial results highlight the need for continued research using more methodologically rigorous designs, such as additional longitudinal and randomized controlled trials.<h4>Systematic review registration</h4>[https://www.crd.york.ac.uk/prospero/], identifier [CRD42022346667].
Abstract There is longstanding interest in the relationship between motor imagery, action observation, and movement execution. Several models propose that these tasks recruit the same brain regions in a similar manner; however, there is no quantitative synthesis of the literature that compares their respective networks. Here we summarized data from neuroimaging experiments examining Motor Imagery (303 experiments, 4,902 participants), Action Observation (595 experiments, 11,032 participants), and related control tasks involving Movement Execution (142 experiments, 2,302 participants). Motor Imagery recruited a network of premotor-parietal cortical regions, alongside the thalamus, putamen, and cerebellum. Action Observation involved a cortical premotor-parietal and occipital network, with no consistent subcortical contributions. Movement Execution engaged sensorimotor-premotor areas, and the thalamus, putamen, and cerebellum. Comparisons across these networks highlighted key differences in their recruitment of motor cortex,and parietal cortex, and subcortical structures. Conjunction across all three tasks identified a consistent premotor-parietal and somatosensory network. These data amend previous models of the relationships between motor imagery, action observation, and movement execution, and quantify the relationships between their respective networks. Highlights We compared quantitative meta-analyses of movement imagery, observation, and execution Subcortical structures were most commonly associated with imagery and execution Conjunctions identified a consistent premotor-parietal-somatosensory network These data can inform basic and translational work using imagery and observation
Exposure to alcohol during fetal development can lead to structural and functional abnormalities in the cerebellum, a brain region responsible for motor coordination, balance, and specific cognitive functions. In this systematic review, we comprehensively analyze a vast body of research conducted on vertebrate animals and humans over the past 13 years. We identified studies through PubMed and screened them following PRISMA guidelines. Data extraction and quality analysis were conducted using Covidence systematic review software. A total of 108 studies met our inclusion criteria, with the majority (79 studies) involving vertebrate animal models and 29 studies focusing on human subjects. Animal models included zebrafish, mice, rats, sheep, and non-human primates, investigating the impact of ethanol on cerebellar structure, gene/protein expression, physiology, and cerebellar-dependent behaviors. Additionally, some animal studies explored potential therapeutic interventions against ethanol-induced cerebellar damage. The human studies predominantly adopted cohort designs, exploring the effects of prenatal alcohol exposure on cerebellar structure and function. Certain human studies delved into innovative cerebellar-based diagnostic approaches for fetal alcohol spectrum disorder (FASD). The collective findings from these studies clearly indicate that the cerebellum is involved in various neurophysiological deficits associated with FASD, emphasizing the importance of evaluating both cerebellar structure and function in the diagnostic process for this condition. Moreover, this review sheds light into potential therapeutic strategies that can mitigate prenatal alcohol exposure-induced cerebellar damage.
Motor skill learning is a complex and gradual process that involves the cortex and basal ganglia, both crucial for the acquisition and long-term retention of skills. The cerebellum, which rapidly learns to adjust the movement, connects to the motor cortex and the striatum primarily via the ventral and intralaminar thalamus, respectively. Here, we evaluated the contribution of cerebellar neurons projecting to these thalamic nuclei in a skilled locomotion task in mice. Using a targeted chemogenetic inhibition that preserves the motor abilities, we found that cerebellar nuclei neurons projecting to the intralaminar thalamus contribute to learning and expression, while cerebellar nuclei neurons projecting to the ventral thalamus contribute to offline consolidation. Asymptotic performance, however, required each type of neurons. Thus, our results show that cerebellar neurons belonging to two parallel cerebello-thalamic pathways play distinct, but complementary, roles functioning on different timescales and both necessary for motor skill learning.
The cerebro-cerebellar system, a network of bidirectional loops between the cerebellum and cerebral cortex, is crucial for coordinating motor control, cognition, and emotion. Moving beyond its traditional role in motor coordination, contemporary research underscores the cerebellum's significant involvement in higher-order functions, including executive control, language, and social cognition. This review synthesizes current anatomical, functional, and clinical evidence to delineate the cerebellum's role in neuropsychiatric and neurodegenerative disorders such as schizophrenia, autism spectrum disorder (ASD), and ataxia. Unlike previous broad reviews, this article provides a structured framework that links cerebellar functional topography with disease-specific pathophysiological mechanisms. We particularly highlight the cellular substrates of cerebellar plasticity, such as Purkinje cell long-term depression (LTD). Our synthesis reveals that prior literature often lacks mechanistic depth and fails to integrate findings across structural, functional, and clinical domains. We conclude by proposing future research directions involving advanced neuroimaging, artificial intelligence, and targeted neuromodulation, thereby clarifying the cerebellum's integrative roles and underscoring its translational potential for novel therapeutic strategies.
<b>Purpose:</b> Strength gains and synergistic muscle group activations due to expiratory muscle strength training (EMST) lead to beneficial changes in several upper aerodigestive functions, including swallowing; however, there may be a potential top-down influence through neuroplasticity. The current study investigated changes in brain activation patterns during swallowing tasks before and after 4 weeks of EMST. <b>Methods:</b> Five right-handed, healthy young adult men aged 19-35 (mean = 28.8, SD = 2.68) participated in 4 weeks of EMST. All participants performed a swallow task, and blood-oxygen level-dependent (BOLD) responses were obtained at baseline and post-training conditions using functional magnetic resonance imaging (fMRI). <b>Results:</b> We observed a significant increase in activation across 12 regions, including the left primary somatosensory cortex (S1), left primary motor cortex (M1), bilateral supplementary motor areas (SMAs), bilateral cerebellum, right middle frontal gyrus, insula, anterior cingulate, and thalamus, following 4 weeks of EMST. While activations in several regions implicated with swallowing were expected, we also observed strong activation in areas associated with motor learning and cognitive functions. <b>Conclusion:</b> Our study's results provide preliminary evidence that EMST can modulate neural networks associated with swallowing. We speculate that enhanced sensorimotor excitability and cortical representation, motor learning, and improved cognitive-sensorimotor integration contribute to EMST's multidomain benefits. Furthermore, our findings suggest that EMST may offer potential cognitive and neuroprotective benefits beyond improving upper aerodigestive functions.
The cerebellum plays important roles in motor, cognitive, and emotional behaviors. Previous cerebellar coordinate-based meta-analyses (CBMAs) have complemented precision-mapping and parcellation approaches by finding generalizable cerebellar activations across the largest possible set of behaviors. However, cerebellar CBMAs face challenges due to inherent methodological limitations, exacerbated by historical cerebellar neglect in neuroimaging studies. Here, we show overrepresentation of superior activations, rendering the null hypothesis of standard activation likelihood estimation (ALE) unsuitable. Our new method, cerebellum-specific ALE (C-SALE), finds behavioral convergence beyond baseline activation rates. It does this by testing experimental activations versus null models sampled from a data-driven probability distribution of finding activations at any cerebellar location. Task-specific mappings in the BrainMap meta-analytic database illustrated improved specificity of the new method. Multiple (sub)domains reached convergence in specific cerebellar subregions, supporting dual motor representations and placing cognition in posterior-lateral regions. We show our method and findings are replicable using the NeuroSynth database. Across both databases, 54/138 task domains or behavioral terms, including sustained attention, somesthesis, inference, anticipation and rhythm, reached convergence in specific cerebellar subgregions. Our meta-analyic maps largely corresponded with cerebellar atlases but also showed many complementary mappings. Repeated subsampling analysis showed that motor behaviors, and to a lesser extent language and working memory, mapped to especially consistent cerebellar subregions. Lastly, we found that cerebellar clusters were parts of brain-wide coactivation networks with cortical and subcortical regions implied in these behaviors. Together, our method further complements and expands understanding of cerebellar involvement in human behavior, highlighting regions for future investigation in both basic and clinical applications.
The cerebellum and the adaptive coordination of movement. Based on a review of cerebellar anatomy, neural discharge in relation to behavior, and focal ablation syndromes, we propose a model of cerebellar function that we believe is both comprehensive as to the available information (at these levels) and unique in several respects. The unique features are the inclusion of new information on (a) cerebellar output--its replicative representation of body maps in each of the deep nuclei, each coding a different type and context of movement, and each appearing to control movement of multiple body parts more than of single body parts; and (b) the newly assessed long length of the parallel fiber. The parallel fiber, by virtue of its connection through Purkinje cells to the deep nuclei, appears optimally designed to combine the actions at several joints and to link the modes of adjacent nuclei into more complex coordinated acts. We review the old question of whether the cerebellum is responsible for the coordination of body parts as opposed to the tuning of downstream executive centers, and conclude that it is both, through mechanisms that have been described in the cerebellar cortex.
The cerebellum contributes to the control of movement, language, and sociability. Purkinje cells, the main output neurons of the cerebellar cortex, are reduced in cerebellar malformations (CMs) and in autism spectrum disorder (ASD). Thus, CMs may increase the risk for ASD. We conducted a meta-analysis to determine the prevalence of ASD in individuals with CMs. We searched PubMed, Embase, and APA PsycINFO for studies assessing ASD in patients with radiologically confirmed CMs. We evaluated risk of bias using Joanna Briggs Institute Checklists. Finally, we extracted data to calculate ASD prevalence and assess variation across CM subtypes. From 1,564 screened articles, 32 studies met inclusion criteria, encompassing 1,032 individuals with CMs. ASD prevalence was 31.2%, significantly higher than the general population rate (1 in 31). High heterogeneity was observed (I² = 72.3%; p < 0.0001). Vermis and cerebellar hypoplasia reliably contributed to the high ASD prevalence. Many studies had small sample sizes and used different metrics to diagnose autism. ASD is more common in individuals with CMs, especially vermis malformations, than in the general population. Early neurodevelopmental monitoring may benefit those with prenatally diagnosed CMs.
However, recent studies of oxidative metabolism show that the caudate nucleus, putamen and lateral cerebellum also participate in cognitive functions and non-motor learning. Before any specific brain work is executed, voluntary movements included, the brain tunes and prepares cortical fields measuring a few square centimetres in the areas that are supposed to participate in information transmission. The superior prefrontal cortex has a special role in this recruitment of cortical fields. Depending on the information needed to execute the voluntary movements, cortical fields are activated in the anterior parietal lobe and the dysgranular frontal cortex. Published in Ciba Foundation symposium (1987)
<h4>Introduction</h4>Motor difficulties are frequent in autistic children and associated with diverse social behavior, possibly due to atypical neural processing subserving internal action models. This systematic review synthesizes results from current functional magnetic resonance imaging (fMRI) research of brain activation during execution, imitation and observation of naturalistic actions in autistic children and adolescents (<18 years).<h4>Methods</h4>Peer-reviewed articles in English published between 2000 and 2025 reporting task-related fMRI in diagnosed autistic vs. typically developing youth (<18 years) were evaluated. Eight studies (with a total of 129 autistic and 128 typically developing participants) were identified, divided into action execution (<i>n</i> = 1), observation (<i>n</i> = 4), and imitation (<i>n</i> = 3).<h4>Results</h4>Between-group differences included reduced cerebellar activations for execution in autistic children; higher activity in left-lateralized motor processing regions for imitation; and lower activity in temporoparietal, posterior cingulate and anterior prefrontal cortex for observation.<h4>Discussion</h4>Findings suggest that atypical brain activation during action execution, observation and imitation in autistic youth is frequent and largely support the notion of aberrant formation and use of motor representations in autism development. Although, due to the limited number of studies, small samples, variability in fMRI pipelines, and task specific nature of the results, interpretations require caution and further investigations are warranted.
the cerebellum) that provides a mathematical model of the transformation of sensory space-time coordinates into motor coordinates and vice versa by cerebellar
This glossary of artificial intelligence is a list of definitions of terms and concepts relevant to the study of artificial intelligence (AI), its subdisciplines, and related fields. Related glossaries include Glossary of computer science, Glossary of robotics, Glossary of machine vision, and Glossary of logic.
lora
LoRA stands for Low-Rank Adaptation. It is a method used to fine-tune large models by updating only a small, targeted part of the model. This makes it quicker and less resource-intensive to adapt the model to specific tasks or new datasets.
Also brain–computer interface (BCI), neural-control interface (NCI), mind-machine interface (MMI), direct neural interface (DNI), or brain–machine interface (BMI).
A direct communication pathway between an enhanced or wired brain and an external device. BCI differs from neuromodulation in that it allows for bidirectional information flow. BCIs are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory-motor functions.
situated approach
In artificial intelligence research, the situated approach builds agents that are designed to behave effectively successfully in their environment. This requires designing AI "from the bottom-up" by focussing on the basic perceptual and motor skills required to survive. The situated approach gives a much lower priority to abstract reasoning or problem-solving skills.
tensor network theory
A theory of brain function (particularly that of the cerebellum) that provides a mathematical model of the transformation of sensory space-time coordinates into motor coordinates and vice versa by cerebellar neuronal networks. The theory was developed as a geometrization of brain function (especially of the central nervous system) using tensors.
world model
A type of neural network that understands the dynamics of the real world, including physics and spatial properties. These models can use input data, including text, image, video, and movement, to generate videos that simulate realistic physical environments.
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