Reproducibility of cerebellar involvement as quantified by consensus structural MRI biomarkers in advanced essential tremor

• Published in: Scientific reports 2023-01, Vol.13 (1), p.581-581, Article 581
• Main Authors: Wang, Qing, Aljassar, Meshal, Bhagwat, Nikhil, Zeighami, Yashar, Evans, Alan C., Dagher, Alain, Pike, G. Bruce, Sadikot, Abbas F., Poline, Jean-Baptiste
• Format: Article
• Language: English
• Subjects: 692/617/375/346; 692/617/375/365; Biomarkers; Cerebellum; Cerebellum - diagnostic imaging; Cerebellum - pathology; Consensus; Essential Tremor - diagnostic imaging; Essential Tremor - pathology; Etiology; Gray Matter - diagnostic imaging; Gray Matter - pathology; Humanities and Social Sciences; Humans; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Mathematical models; Medical imaging; Movement disorders; multidisciplinary; Neuroimaging; Registered Report; Reproducibility; Reproducibility of Results; Science; Science (multidisciplinary); Segmentation; Sensitivity analysis; Statistical analysis; Statistical models; Substantia alba; Substantia grisea; Tremor
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-022-25306-y

Essential tremor (ET) is the most prevalent movement disorder with poorly understood etiology. Some neuroimaging studies report cerebellar involvement whereas others do not. This discrepancy may stem from underpowered studies, differences in statistical modeling or variation in magnetic resonance imaging (MRI) acquisition and processing. To resolve this, we investigated the cerebellar structural differences using a local advanced ET dataset augmented by matched controls from PPMI and ADNI. We tested the hypothesis of cerebellar involvement using three neuroimaging biomarkers: VBM, gray/white matter volumetry and lobular volumetry. Furthermore, we assessed the impacts of statistical models and segmentation pipelines on results. Results indicate that the detected cerebellar structural changes vary with methodology. Significant reduction of right cerebellar gray matter and increase of the left cerebellar white matter were the only two biomarkers consistently identified by multiple methods. Results also show substantial volumetric overestimation from SUIT-based segmentation—partially explaining previous literature discrepancies. This study suggests that current estimation of cerebellar involvement in ET may be overemphasized in MRI studies and highlights the importance of methods sensitivity analysis on results interpretation. ET datasets with large sample size and replication studies are required to improve our understanding of regional specificity of cerebellum involvement in ET. Protocol registration The stage 1 protocol for this Registered Report was accepted in principle on 21 March 2022. The protocol, as accepted by the journal, can be found at: https://doi.org/10.6084/m9.figshare.19697776 .