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Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence
Stroke ranks among the leading causes for morbidity and mortality worldwide. New and
continuously improving treatment options such as thrombolysis and thrombectomy have …
continuously improving treatment options such as thrombolysis and thrombectomy have …
Prediction of motor recovery after stroke: advances in biomarkers
CM Stinear - The Lancet Neurology, 2017 - thelancet.com
Stroke remains a leading cause of adult disability, and the recovery of motor function after
stroke is crucial for the patient to regain independence. However, making accurate …
stroke is crucial for the patient to regain independence. However, making accurate …
PREP2: A biomarker‐based algorithm for predicting upper limb function after stroke
Objective Recovery of motor function is important for regaining independence after stroke,
but difficult to predict for individual patients. Our aim was to develop an efficient, accurate …
but difficult to predict for individual patients. Our aim was to develop an efficient, accurate …
Corticospinal tract lesion load: an imaging biomarker for stroke motor outcomes
Objective The aim of this work was to investigate whether an imaging measure of
corticospinal tract (CST) injury in the acute phase can predict motor outcome at 3 months in …
corticospinal tract (CST) injury in the acute phase can predict motor outcome at 3 months in …
The PREP algorithm predicts potential for upper limb recovery after stroke
Stroke is a leading cause of adult disability and the recovery of motor function is important
for independence in activities of daily living. Predicting motor recovery after stroke in …
for independence in activities of daily living. Predicting motor recovery after stroke in …
Predicting recovery potential for individual stroke patients increases rehabilitation efficiency
Background and Purpose—Several clinical measures and biomarkers are associated with
motor recovery after stroke, but none are used to guide rehabilitation for individual patients …
motor recovery after stroke, but none are used to guide rehabilitation for individual patients …
Can neurological biomarkers of brain impairment be used to predict poststroke motor recovery? A systematic review
Background. There is growing interest to establish recovery biomarkers, especially
neurological biomarkers, in order to develop new therapies and prediction models for the …
neurological biomarkers, in order to develop new therapies and prediction models for the …
Influence of stroke infarct location on functional outcome measured by the modified rankin scale
Background and Purpose—In the early days after ischemic stroke, information on structural
brain damage from MRI supports prognosis of functional outcome. It is rated widely by the …
brain damage from MRI supports prognosis of functional outcome. It is rated widely by the …
Computational neurorehabilitation: modeling plasticity and learning to predict recovery
Despite progress in using computational approaches to inform medicine and neuroscience
in the last 30 years, there have been few attempts to model the mechanisms underlying …
in the last 30 years, there have been few attempts to model the mechanisms underlying …
Low-frequency oscillations are a biomarker of injury and recovery after stroke
Background and Purpose—Low-frequency oscillations reflect brain injury but also contribute
to normal behaviors. We examined hypotheses relating electroencephalography measures …
to normal behaviors. We examined hypotheses relating electroencephalography measures …