Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence

AK Bonkhoff, C Grefkes - Brain, 2022 - academic.oup.com
Stroke ranks among the leading causes for morbidity and mortality worldwide. New and
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 …

PREP2: A biomarker‐based algorithm for predicting upper limb function after stroke

CM Stinear, WD Byblow, SJ Ackerley… - Annals of clinical …, 2017 - Wiley Online Library
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 …

Corticospinal tract lesion load: an imaging biomarker for stroke motor outcomes

W Feng, J Wang, PY Chhatbar, C Doughty… - Annals of …, 2015 - Wiley Online Library
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 …

The PREP algorithm predicts potential for upper limb recovery after stroke

CM Stinear, PA Barber, M Petoe, S Anwar, WD Byblow - Brain, 2012 - academic.oup.com
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 …

Predicting recovery potential for individual stroke patients increases rehabilitation efficiency

CM Stinear, WD Byblow, SJ Ackerley, PA Barber… - Stroke, 2017 - ahajournals.org
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 …

Can neurological biomarkers of brain impairment be used to predict poststroke motor recovery? A systematic review

B Kim, C Winstein - Neurorehabilitation and neural repair, 2017 - journals.sagepub.com
Background. There is growing interest to establish recovery biomarkers, especially
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

B Cheng, ND Forkert, M Zavaglia, CC Hilgetag… - Stroke, 2014 - ahajournals.org
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 …

Computational neurorehabilitation: modeling plasticity and learning to predict recovery

DJ Reinkensmeyer, E Burdet, M Casadio… - … of neuroengineering and …, 2016 - Springer
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 …

Low-frequency oscillations are a biomarker of injury and recovery after stroke

JM Cassidy, A Wodeyar, J Wu, K Kaur, AK Masuda… - Stroke, 2020 - ahajournals.org
Background and Purpose—Low-frequency oscillations reflect brain injury but also contribute
to normal behaviors. We examined hypotheses relating electroencephalography measures …