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

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 .

A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor.

Background: Ordinal scales based on qualitative observation are the mainstay in the clinical assessment of tremor, but are limited by inter-rater reliability, measurement precision, range, and ceiling effects. Quantitative tremor evaluation is well-developed in research, but clinical application has lagged, in part due to cumbersome mathematical application and lack of established standards. Objectives: To develop a novel method for evaluating tremor that integrates a standardized clinical exam, wrist-watch accelerometers, and a software framework for data analysis that does not require advanced mathematical or computing skills. The utility of the method was tested in a sequential cohort of patients with predominant postural and action tremor presenting to a specialized surgical clinic with the presumptive diagnosis of Essential Tremor (ET). Methods: Wristwatch accelerometry was integrated with a standardized clinical exam. A MATLAB application was developed for automated data analysis and graphical representation of tremor. Measures from the power spectrum of acceleration of tremor in different upper limb postures were derived in 25 consecutive patients. The linear results from accelerometry were correlated with the commonly used non-linear Clinical Rating Scale for Tremor (CRST). Results: The acceleration power spectrum was reliably produced in all consecutive patients. Tremor frequency was stable in different postures and across patients. Both total and peak power of acceleration during postural conditions correlated well with the CRST. The standardized clinical examination with integrated accelerometry measures was therefore effective at characterizing tremor in a population with predominant postural and action tremor. The protocol is also illustrated on repeated measures in an ET patient who underwent Magnetic Resonance-Guided Focused Ultrasound thalamotomy. Conclusion: Quantitative assessment of tremor as a continuous variable using wristwatch accelerometry is readily applicable as a clinical tool when integrated with a standardized clinical exam and a user-friendly software framework for analysis. The method is validated for patients with predominant postural and action tremor, and can be adopted for characterizing tremor of different etiologies with dissemination in a wide variety of clinical and research contexts in ageing populations.

Determinants of hyponatremia following a traumatic brain injury.

BACKGROUND: Hyponatremia is common in patients with central nervous system disease. It may prolong hospitalization and increase morbidity and mortality. However, the incidence and risks factors remain largely unknown in traumatic brain injury (TBI). The objectives of this study are to characterize hyponatremia in TBI patients and find its main risk factors. METHODS: All patients admitted with a diagnosis of acute TBI over a 1-year period were included, except patients with known chronic hyponatremia, those who died within 72 h, and those receiving hyperosmolar therapy to treat their intracranial hypertension. Sodium levels throughout hospitalization were collected. Post-traumatic hyponatremia was defined as follows: borderline (1-2 points below normal and 1-2 days duration) and significant (more than 2 points below normal and/or more than 2 days duration). Demographic data, GCS, mechanism of injury, and CT findings were collected. These factors were correlated to the incidence of hyponatremia. RESULTS: Hyponatremia was found in 29% of the 283 included patients and was significant in 2/3 of the cases. Significant hyponatremia had a narrower peak, between 7 and 11 days, while borderline hyponatremia started earlier and was more distributed in time. Factors associated with hyponatremia were greater age (p = 0.004), worse ISS (p = 0.017), worse Marshall Grade on CT (p = 0.007), and a diffuse pattern of injury on CT (p < 0.001). Significant hyponatremia was associated with: a diffuse pattern of injury on CT (p = 0.032), the presence of intracerebral hemorrhage (p = 0.027), and multiple lesions on CT (p = 0.043). CONCLUSIONS: Post-traumatic hyponatremia is common and can lead to serious consequences in TBI patients. Adequate monitoring and treatment are therefore important. Older patients and those with more significant injury on CT are more at risk.