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Computational neurorehabilitation: modeling plasticity and learning to predict recoveryModels to Tailor Brain Stimulation Therapies in StrokeApplication of Transcranial Direct Current Stimulation in Neurorehabilitation: The Modulatory Effect of SleepStructural connectivity analyses in motor recovery research after strokeInterpreting Intervention Induced Neuroplasticity with fMRI: The Case for Multimodal Imaging StrategiesNeural Substrate Expansion for the Restoration of Brain FunctionUse it and/or lose it-experience effects on brain remodeling across time after strokeMRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following StrokeDrugs to Enhance Motor Recovery After StrokeContribution of corticospinal tract and functional connectivity in hand motor impairment after stroke.How useful is imaging in predicting outcomes in stroke rehabilitation?Imaging for prediction of functional outcome and assessment of recovery in ischemic stroke.Imaging in StrokeNet: Realizing the Potential of Big Data.White matter injury in ischemic stroke.Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review.Assessment of cortical reorganisation for hand function after stroke.Harnessing neuroplasticity for clinical applications.Corticospinal excitability as a predictor of functional gains at the affected upper limb following robotic training in chronic stroke survivorsCortex integrity relevance in muscle synergies in severe chronic stroke.Of mice and men: modelling post-stroke depression experimentally.FAST INdiCATE Trial protocol. Clinical efficacy of functional strength training for upper limb motor recovery early after stroke: neural correlates and prognostic indicatorsNeural function, injury, and stroke subtype predict treatment gains after stroke.White matter integrity of premotor-motor connections is associated with motor output in chronic stroke patientsPredicting recovery of voluntary upper extremity movement in subacute stroke patients with severe upper extremity paresis.Anatomy and physiology predict response to motor cortex stimulation after stroke.Atrophy of spared gray matter tissue predicts poorer motor recovery and rehabilitation response in chronic stroke.Parietofrontal integrity determines neural modulation associated with grasping imagery after stroke.Comparison of three-dimensional, assist-as-needed robotic arm/hand movement training provided with Pneu-WREX to conventional tabletop therapy after chronic stroke.Frontoparietal white matter integrity predicts haptic performance in chronic stroke.Free-water and free-water corrected fractional anisotropy in primary and premotor corticospinal tracts in chronic stroke.Contralesional hemisphere control of the proximal paretic upper limb following strokeDoes stroke location predict walk speed response to gait rehabilitation?Dorsal premotor activity and connectivity relate to action selection performance after strokeResting state α-band functional connectivity and recovery after stroke.Connectivity measures are robust biomarkers of cortical function and plasticity after stroke.Rewiring the brain: potential role of the premotor cortex in motor control, learning, and recovery of function following brain injuryStroke-related translational research.Can fully automated detection of corticospinal tract damage be used in stroke patients?Size doesn't matter: cortical stroke lesion volume is not associated with upper extremity motor impairment and function in mild, chronic hemiparesis.Evidence for high translational potential of mesenchymal stromal cell therapy to improve recovery from ischemic stroke.
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Anatomy of stroke injury predicts gains from therapy.
@ast
Anatomy of stroke injury predicts gains from therapy.
@en
Anatomy of stroke injury predicts gains from therapy.
@nl
type
label
Anatomy of stroke injury predicts gains from therapy.
@ast
Anatomy of stroke injury predicts gains from therapy.
@en
Anatomy of stroke injury predicts gains from therapy.
@nl
prefLabel
Anatomy of stroke injury predicts gains from therapy.
@ast
Anatomy of stroke injury predicts gains from therapy.
@en
Anatomy of stroke injury predicts gains from therapy.
@nl
P2093
P2860
P1433
P1476
Anatomy of stroke injury predicts gains from therapy.
@en
P2093
Jeff D Riley
Jennifer M Newton
Lucy Der-Yeghiaian
Steven C Cramer
P2860
P304
P356
10.1161/STROKEAHA.110.599340
P407
P50
P577
2010-12-16T00:00:00Z