ArticleEuropean radiology2019
Atrophy of cerebellar peduncles in essential tremor: a machine learning-based volumetric analysis.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Pooled it
- Imaging the Pathophysiology of Essential Tremor-A Systematic Review.Frontiers in neurology · 2021Pooled it
- Brain Imaging Phenotypes Associated with Polygenic Risk for Essential Tremor.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Multimodal Magnetic Resonance Findings in Parkinson's Disease With "Antecedent Essential Tremor": A Case Series of a Large Kindred.Neuropsychiatric disease and treatment · 2025Article
- Artificial Intelligence in the Diagnosis and Quantitative Phenotyping of Hyperkinetic Movement Disorders: A Systematic Review.Journal of clinical medicine · 2024Review
- Radiomics based on diffusion tensor imaging and 3D T1-weighted MRI for essential tremor diagnosis.Frontiers in neurology · 2024Article
- Cortical involvement in essential tremor with and without rest tremor: a machine learning study.Journal of neurology · 2023Article
- Identification of essential tremor based on resting-state functional connectivity.Human brain mapping · 2023Article
- Exploring the heterogeneous morphometric data in essential tremor with probabilistic modelling.NeuroImage. Clinical · 2023Article
- Transcriptomic effects of propranolol and primidone converge on molecular pathways relevant to essential tremor.NPJ genomic medicine · 2022Article
- Morphometric features of drug-resistant essential tremor and recovery after stereotactic radiosurgical thalamotomy.Network neuroscience (Cambridge, Mass.) · 2022Article
- Disrupted structural connectome and neurocognitive functions in Duchenne muscular dystrophy: classifying and subtyping based on Dp140 dystrophin isoform.Journal of neurology · 2022Article
- Combined brain network topological metrics with machine learning algorithms to identify essential tremor.Frontiers in neuroscience · 2022Article
- Essential tremor.Nature reviews. Disease primers · 2021Review
- Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements.Sensors (Basel, Switzerland) · 2019Article
- Neuropathology and pathogenesis of extrapyramidal movement disorders: a critical update. II. Hyperkinetic disorders.Journal of neural transmission (Vienna, Austria : 1996) · 2019Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSubtle cerebellar signs are frequently observed in essential tremor (ET) and may be associated with cerebellar dysfunction. This study aims to evaluate the macrostructural integrity of the superior, middle, and inferior cerebellar peduncles (SCP, MCP, ICP) and cerebellar gray and white matter (GM, WM) volumes in patients with ET, and compare these volumes between patients with and without cerebellar signs (ETc and ETnc).
methodsForty patients with ET and 37 age- and gender-matched healthy controls were recruited. Atlas-based region-of-interest analysis of the SCP, MCP, and ICP and automated analysis of cerebellar GM and WM volumes were performed. Peduncular volumes were employed in a multi-variate classification framework to attempt discrimination of ET from controls.
resultsSignificant atrophy of bilateral MCP and ICP and bilateral cerebellar GM was observed in ET. Cerebellar signs were present in 20% of subjects with ET. Comparison of peduncular and cerebellar volumes between ETnc and ETc revealed atrophy of right SCP, bilateral MCP and ICP, and left cerebellar WM in ETc. The multi-variate classifier could discriminate between ET and controls with a test accuracy of 86.66%.
conclusionsPatients with ET have significant atrophy of cerebellar peduncles, particularly the MCP and ICP. Additional atrophy of the SCP is observed in the ETc group. These abnormalities may contribute to the pathogenesis of cerebellar signs in ET. KEY POINTS: • Patients with ET have significant atrophy of bilateral middle and inferior cerebellar peduncles and cerebellar gray matter in comparison with healthy controls. • Patients of ET with cerebellar signs have significant atrophy of right superior cerebellar peduncle, bilateral middle and inferior cerebellar peduncle, and left cerebellar white matter in comparison with ET without cerebellar signs. • A multi-variate classifier employing peduncular volumes could discriminate between ET and controls with a test accuracy of 86.66%.
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Registered trials
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