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

Disability as a stroke consequence is reported by 3% males and 2% females in general population. Motor deficits are common in stroke patients, but their complete recovery is seen only in a minority of cases. Assessment of motor deficits uses clinical methods, especially standardized scales, but also electrophysiological and imagistic methods. The motor recovery is a continuous process, maximal in the first month after stroke, decreasing gradually over the first 6 months. Most powerful predictors for motor recovery are clinical parameters: severity of motor deficit, onset of first voluntary movements after stroke in the first 48-72 hours, a continuous improvement in motor function during the first 8 weeks, a good postural control during the first month, young age, male sex, left hemispheric stroke and absence of other neurological impairments are strong positive predictors. Presence of motor-evoked potentials in paretic muscles and imagistic parameters as location, stroke volume and motor pathways integrity are paraclinical predictors for recovery. There are no specific biomarker which is efficient in predicting recovery. In patients with poor chances for recovery according to actual predictors, the development of more precise algorithms to assess functional outcome is needed, in order to support the choice of appropriate methods and intensity of rehabilitation treatment.

Predictors for early motor improvement in patients with ischemic stroke