Predicting Upper Limb Motor Impairment Recovery after Stroke: A Mixture Model
Published 2020 View Full Article
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Title
Predicting Upper Limb Motor Impairment Recovery after Stroke: A Mixture Model
Authors
Keywords
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Journal
ANNALS OF NEUROLOGY
Volume 87, Issue 3, Pages 383-393
Publisher
Wiley
Online
2020-01-11
DOI
10.1002/ana.25679
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Related references
Note: Only part of the references are listed.- Standardized measurement of quality of upper limb movement after stroke: Consensus-based core recommendations from the Second Stroke Recovery and Rehabilitation Roundtable
- (2019) G Kwakkel et al. International Journal of Stroke
- Is the proportional recovery rule applicable to the lower limb after a first-ever ischemic stroke?
- (2018) Janne M. Veerbeek et al. PLoS One
- Recovery after stroke: not so proportional after all?
- (2018) Thomas M H Hope et al. BRAIN
- Taking Proportional Out of Stroke Recovery
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- Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable
- (2017) Lara A Boyd et al. International Journal of Stroke
- Restoring brain function after stroke — bridging the gap between animals and humans
- (2017) Nick S. Ward Nature Reviews Neurology
- Proportional Motor Recovery After Stroke
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- Proportional Recovery From Lower Limb Motor Impairment After Stroke
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- Comparison of Criteria for Choosing the Number of Classes in Bayesian Finite Mixture Models
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- What's the perfect dose for practice to make perfect?
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- Moving rehabilitation research forward: Developing consensus statements for rehabilitation and recovery research
- (2016) Julie Bernhardt et al. International Journal of Stroke
- Predicting motor improvement after stroke with clinical assessment and diffusion tensor imaging
- (2016) Ethan R. Buch et al. NEUROLOGY
- How to design clinical rehabilitation trials for the upper paretic limb early post stroke?
- (2016) Caroline Winters et al. Trials
- The proportional recovery rule for stroke revisited
- (2015) JW Krakauer et al. ANNALS OF NEUROLOGY
- Corticospinal tract lesion load: An imaging biomarker for stroke motor outcomes
- (2015) Wuwei Feng et al. ANNALS OF NEUROLOGY
- Proportional recovery after stroke depends on corticomotor integrity
- (2015) Winston D. Byblow et al. ANNALS OF NEUROLOGY
- Model-based clustering based on sparse finite Gaussian mixtures
- (2014) Gertraud Malsiner-Walli et al. STATISTICS AND COMPUTING
- Time course of visuospatial neglect early after stroke: A longitudinal cohort study
- (2012) Tanja C.W. Nijboer et al. CORTEX
- Clinically Important Differences for the Upper-Extremity Fugl-Meyer Scale in People With Minimal to Moderate Impairment Due to Chronic Stroke
- (2012) Stephen J. Page et al. PHYSICAL THERAPY
- Modulation of Neural Plasticity as a Basis for Stroke Rehabilitation
- (2012) Marcela Pekna et al. STROKE
- Prediction of Motor Recovery Using Initial Impairment and fMRI 48 h Poststroke
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- Asymptotic behaviour of the posterior distribution in overfitted mixture models
- (2011) Judith Rousseau et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Presence of Finger Extension and Shoulder Abduction Within 72 Hours After Stroke Predicts Functional Recovery
- (2010) Rinske H.M. Nijland et al. STROKE
- Early imaging correlates of subsequent motor recovery after stroke
- (2009) Randolph S. Marshall et al. ANNALS OF NEUROLOGY
- Evidence-based stroke rehabilitation: an expanded guidance document from the european stroke organisation (ESO) guidelines for management of ischaemic stroke and transient ischaemic attack 2008
- (2009) TJ Quinn et al. JOURNAL OF REHABILITATION MEDICINE
- Variability in language recovery after first-time stroke
- (2007) R M Lazar et al. JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
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