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001 | WKP|Q59702951 (VIAF cluster) (Authority/Source Record) | ||
003 | WKP | ||
005 | 20241121000222.0 | ||
008 | 241121nneanz||abbn n and d | ||
035 | ‡a (WKP)Q59702951 | ||
024 | ‡a 0000-0001-5218-863X ‡2 orcid | ||
024 | ‡a 56170645600 ‡2 scopus | ||
035 | ‡a (OCoLC)Q59702951 | ||
100 | 0 | ‡a Marie-Claire Smith ‡c researcher ORCID ID = 0000-0001-5218-863X ‡9 en | |
400 | 0 | ‡a Marie-Claire Smith ‡c onderzoeker ‡9 nl | |
670 | ‡a Author's Applications of Repetitive Transcranial Magnetic Stimulation to Improve Upper Limb Motor Performance After Stroke: A Systematic Review | ||
670 | ‡a Author's Biomarker-based patient selection improves stroke rehabilitation trial efficiency | ||
670 | ‡a Author's Effects of non-target leg activation, TMS coil orientation, and limb dominance on lower limb motor cortex excitability. | ||
670 | ‡a Author's Implementing biomarkers to predict motor recovery after stroke | ||
670 | ‡a Author's Mirror symmetric bimanual movement priming can increase corticomotor excitability and enhance motor learning | ||
670 | ‡a Author's Predicting recovery and outcomes for the lower limb after stroke | ||
670 | ‡a Author's Predicting Recovery Potential for Individual Stroke Patients Increases Rehabilitation Efficiency. | ||
670 | ‡a Author's PREP2: A biomarker-based algorithm for predicting upper limb function after stroke. | ||
670 | ‡a Author's PREP2 Algorithm Predictions Are Correct at 2 Years Poststroke for Most Patients | ||
670 | ‡a Author's Proportional Motor Recovery After Stroke: Implications for Trial Design. | ||
670 | ‡a Author's Proportional Recovery From Lower Limb Motor Impairment After Stroke | ||
670 | ‡a Author's The TWIST Algorithm Predicts Time to Walking Independently After Stroke. | ||
670 | ‡a Author's The TWIST Tool Predicts When Patients Will Recover Independent Walking After Stroke: An Observational Study | ||
670 | ‡a Author's Transcranial magnetic stimulation (TMS) in stroke: Ready for clinical practice? | ||
909 | ‡a (scopus) 56170645600 ‡9 1 | ||
909 | ‡a (orcid) 000000015218863x ‡9 1 | ||
919 | ‡a effectsofnontargetlegactivationtmscoilorientationandlimbdominanceonlowerlimbmotorcortexexcitability ‡A Effects of non-target leg activation, TMS coil orientation, and limb dominance on lower limb motor cortex excitability. ‡9 1 | ||
919 | ‡a biomarkerbasedpatientselectionimprovesstrokerehabilitationtrialefficiency ‡A Biomarker-based patient selection improves stroke rehabilitation trial efficiency ‡9 1 | ||
919 | ‡a applicationsofrepetitivetranscranialmagneticstimulationtoimproveupperlimbmotorperformanceafterstrokeasystematicreview ‡A Applications of Repetitive Transcranial Magnetic Stimulation to Improve Upper Limb Motor Performance After Stroke: A Systematic Review ‡9 1 | ||
919 | ‡a transcranialmagneticstimulationtmsinstrokereadyforclinicalpractice ‡A Transcranial magnetic stimulation (TMS) in stroke: Ready for clinical practice? ‡9 1 | ||
919 | ‡a twisttoolpredictswhenpatientswillrecoverindependentwalkingafterstrokeanobservationalstudy ‡A The TWIST Tool Predicts When Patients Will Recover Independent Walking After Stroke: An Observational Study ‡9 1 | ||
919 | ‡a twistalgorithmpredictstimetowalkingindependentlyafterstroke ‡A The TWIST Algorithm Predicts Time to Walking Independently After Stroke. ‡9 1 | ||
919 | ‡a proportionalrecoveryfromlowerlimbmotorimpairmentafterstroke ‡A Proportional Recovery From Lower Limb Motor Impairment After Stroke ‡9 1 | ||
919 | ‡a proportionalmotorrecoveryafterstrokeimplicationsfortrialdesign ‡A Proportional Motor Recovery After Stroke: Implications for Trial Design. ‡9 1 | ||
919 | ‡a prep2algorithmpredictionsarecorrectat2yearspoststrokeformostpatients ‡A PREP2 Algorithm Predictions Are Correct at 2 Years Poststroke for Most Patients ‡9 1 | ||
919 | ‡a prep2abiomarkerbasedalgorithmforpredictingupperlimbfunctionafterstroke ‡A PREP2: A biomarker-based algorithm for predicting upper limb function after stroke. ‡9 1 | ||
919 | ‡a predictingrecoverypotentialforindividualstrokepatientsincreasesrehabilitationefficiency ‡A Predicting Recovery Potential for Individual Stroke Patients Increases Rehabilitation Efficiency. ‡9 1 | ||
919 | ‡a predictingrecoveryandoutcomesforthelowerlimbafterstroke ‡A Predicting recovery and outcomes for the lower limb after stroke ‡9 1 | ||
919 | ‡a mirrorsymmetricbimanualmovementprimingcanincreasecorticomotorexcitabilityandenhancemotorlearning ‡A Mirror symmetric bimanual movement priming can increase corticomotor excitability and enhance motor learning ‡9 1 | ||
919 | ‡a implementingbiomarkerstopredictmotorrecoveryafterstroke ‡A Implementing biomarkers to predict motor recovery after stroke ‡9 1 | ||
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