BCI for stroke rehabilitation: motor and beyond

R Mane, T Chouhan, C Guan - Journal of neural engineering, 2020 - iopscience.iop.org
Stroke is one of the leading causes of long-term disability among adults and contributes to
major socio-economic burden globally. Stroke frequently results in multifaceted impairments …

Biomarkers of stroke recovery: consensus-based core recommendations from the stroke recovery and rehabilitation roundtable

LA Boyd, KS Hayward, NS Ward… - … Journal of Stroke, 2017 - journals.sagepub.com
The most difficult clinical questions in stroke rehabilitation are “What is this patient's potential
for recovery?” and “What is the best rehabilitation strategy for this person, given her/his …

A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms

SL Liew, BP Lo, MR Donnelly… - Scientific data, 2022 - nature.com
Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification
of lesion burden and accurate image processing. Current automated lesion segmentation …

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 …

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 …

Effects of virtual reality intervention on neural plasticity in stroke rehabilitation: a systematic review

J Hao, H Xie, K Harp, Z Chen, KC Siu - Archives of Physical Medicine and …, 2022 - Elsevier
Objective To systematically review and examine the current literature regarding the effects of
virtual reality (VR)–based rehabilitation on neural plasticity changes in survivors of stroke …

Prediction tools for stroke rehabilitation

CM Stinear, MC Smith, WD Byblow - Stroke, 2019 - Am Heart Assoc
teams. Being able to predict the likelihood of achieving a specific level of function might be
more useful. Finally, prediction tools should combine a small number of pieces of …

[图书][B] Broken movement: the neurobiology of motor recovery after stroke

JW Krakauer, ST Carmichael - 2022 - books.google.com
An account of the neurobiology of motor recovery in the arm and hand after stroke by two
experts in the field. Stroke is a leading cause of disability in adults and recovery is often …

Advances in EEG-based functional connectivity approaches to the study of the central nervous system in health and disease

F Di Gregorio, S Battaglia - Advances in Clinical and Experimental …, 2023 - cris.unibo.it
Functional brain connectivity is closely linked to the complex interactions between brain
networks. In the last two decades, measures of functional connectivity based on …

Predicting recovery potential for individual stroke patients increases rehabilitation efficiency

CM Stinear, WD Byblow, SJ Ackerley, PA Barber… - Stroke, 2017 - Am Heart Assoc
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 …