English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The clinical criteria currently used to classify tremors are sometimes insufficient to distinguish between different tremor types. In particular, it can be difficult to distinguish between essential tremor and parkinsonian tremor at the early stages of disease. Now, Breit et al. report on the generation of an automated analysis procedure that can reliably differentiate between these two types of tremor. Long-term electromyography was used to track eight tremor parameters (tremor occurrence, asymmetry of tremor, frequency distribution type, mean frequency, SD of frequency, phase distribution type, mean phase, and SD of phase) in a development cohort that comprised 45 consecutive patients—26 with Parkinson’s disease, and 19 with essential tremor. The maxi mum recording time was 24 h, and patients were free to continue their everyday activities during recording. None of the tremor para meters could distinguish between the two types of tremor when used as a single criterion, so the researchers used stepwise backward regression to develop a multi variate model. With all eight parameters used as a basis, variables that did not improve the differentia tion between parkinsonian and essential tremor were successively eliminated. The resulting model included three para meters: mean frequency, tremor occurrence, and SD of phase. When this model was tested in the development cohort it correctly classified 93% of the 45 patients. The model was then applied to a validation cohort of 13 patients with tremor of unknown etiology. In 100% of these cases the diagnosis predicted by the model was identical to the diagnosis inferred from 123I-2-carbomethoxy-3-(4-iodophenyl)N-(3-fluoropropyl) nortropane single-photon emission CT. The authors conclude that long-term electro myography can distinguish between parkinsonian and essential tremor.

Perispinal administration of anti-TNF agent results in rapid cognitive improvement in AD