ArticleHuman brain mapping2023
Visualizing the deep cerebellar nuclei using quantitative susceptibility mapping: An application in healthy controls, Parkinson's disease patients and essential tremor patients.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Quantitative susceptibility mapping reveals abnormal iron reduction in deep gray matter of children with global developmental delay.Pediatric radiology · 2026Article
- Asymmetric scaling of cerebellar cortex and deep nuclei reshapes input-output architecture across primates.Research square · 2026Article
- Nonuniform scaling of cerebellar cortical-nuclear architecture across primates revealed by cross-species atlases.bioRxiv : the preprint server for biology · 2026Article
- Automated Deep Learning-based Segmentation of the Dentate Nucleus Using Quantitative Susceptibility Mapping MRI.Radiology. Artificial intelligence · 2025Article
- Detailed Mapping of the Cerebellar Dentate Nucleus Using Ultra-High Field (7T) Susceptibility-Weighted Imaging.Cerebellum (London, England) · 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
- Cerebellar Structural and N-Acetylaspartate, Choline, and Creatine Metabolic Profiles in Parkinson's Disease and Essential Tremor.Diagnostics (Basel, Switzerland) · 2024Article
- Visualizing the deep cerebellar nuclei using quantitative susceptibility mapping: An application in healthy controls, Parkinson's disease patients and essential tremor patients.Human brain mapping · 2023Article
- Differential brain iron deposition in Parkinson's disease subtypes: a comparative quantitative susceptibility mapping study of tremor-dominant versus postural instability/gait difficulty phenotypes.Frontiers in neurologyArticle
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13 authors.
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Abstract
The visualization and identification of the deep cerebellar nuclei (DCN) (dentate [DN], interposed [IN] and fastigial nuclei [FN]) are particularly challenging. We aimed to visualize the DCN using quantitative susceptibility mapping (QSM), predict the contrast differences between QSM and T2* weighted imaging, and compare the DCN volume and susceptibility in movement disorder populations and healthy controls (HCs). Seventy-one Parkinson's disease (PD) patients, 39 essential tremor patients, and 80 HCs were enrolled. The PD patients were subdivided into tremor dominant (TD) and postural instability/gait difficulty (PIGD) groups. A 3D strategically acquired gradient echo MR imaging protocol was used for each subject to obtain the QSM data. Regions of interest were drawn manually on the QSM data to calculate the volume and susceptibility. Correlation analysis between the susceptibility and either age or volume was performed and the intergroup differences of the volume and magnetic susceptibility in all the DCN structures were evaluated. For the most part, all the DCN structures were clearly visualized on the QSM data. The susceptibility increased as a function of volume for both the HC group and disease groups in the DN and IN (p < .001) but not the FN (p = .74). Only the volume of the FN in the TD-PD group was higher than that in the HCs (p = .012), otherwise, the volume and susceptibility among these four groups did not differ significantly. In conclusion, QSM provides clear visualization of the DCN structures. The results for the volume and susceptibility of the DCN can be used as baseline references in future studies of movement disorders.
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