Biomarkers in Stroke Prognosis

Dear Colleagues,

Stroke represents not only the second leading cause of death, but also the principal source of acquired disability, with considerable negative long-term impacts on functional independence and quality of life for stroke survivors. Prognostic uncertainties are common, resulting in a growing interest in establishing stroke recovery biomarkers. Ideally, prognostic biomarkers should hold high sensitivity and specificity, enabling the appropriate management of health-care resources and individualization of rehabilitation treatments. Given the complexity and heterogeneity of stroke pathophysiology, it is obvious that a single biomarker cannot give us all the answers we seek.

This Topical Collection aims to cover the newest advancements in the field of stroke recovery biomarkers, and invites authors to contribute original studies, reviews, meta-analyses, and related case reports regarding blood, neuroimaging, neurosonological, neurophysiological, and biomechanical biomarkers that depict underlying mechanisms of disease, provide insight into pathogenesis of functional deficits in stroke survivors, as well as compensatory mechanisms on a microstructural level, assess corticospinal tract integrity and brain connectivity and characterize post-stroke recovery mechanisms for various deficits including motor, language, and cognition. Studies utilizing machine learning and other types of advanced data analytics techniques attempting to construct stroke prognosis algorithms are also welcomed.

Dr. Dimitrios Tsiptsios
Prof. Dr. Konstantinos Vadikolias
Collection Editors

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