Dr Marie-Claire Smith

BHSc (Physiotherapy) AUT., PhD University of Auckland

Biography

Marie-Claire Smith completed her PhD in Health Sciences in 2017. She is an experienced physiotherapist with an interest in stroke research and is currently working as a research fellow in the Department of Medicine.

Research | Current

Marie-Claire's research interests are predicting and improving recovery and outcomes after stroke. She is currently leading a multicentre trial investigating how to predict both whether and when a patient will walk independently after stroke. She is also involved in a project trialling a type of biofeedback to improve symmetry in walking after stroke. This research involves the use of clincial, neuroimaging, neurophsyiology and biomechanical assessment tools. A strong focus of this research is that it is relevant and translatable to clincial practice.

Areas of expertise

Physiotherapy, Neurorehabilitation, Stroke, Neuroscience

Committees/Professional groups/Services

NZ registered physiotherapist

Selected publications and creative works (Research Outputs)

  • Stinear, C. M., Smith, M.-C., & Byblow, W. D. (2019). Prediction Tools for Stroke Rehabilitation. Stroke, 50 (11), 3314-3322. 10.1161/strokeaha.119.025696
    Other University of Auckland co-authors: Winston Byblow, Cathy Stinear
  • Smith, M.-C., Ackerley, S. J., Barber, P. A., Byblow, W. D., & Stinear, C. M. (2019). PREP2 Algorithm Predictions Are Correct at 2 Years Poststroke for Most Patients. Neurorehabilitation and neural repair, 33 (8), 635-642. 10.1177/1545968319860481
    Other University of Auckland co-authors: Winston Byblow, Cathy Stinear, Alan Barber
  • Stinear, C., Byblow, W., Barber, A., Ackerley, S., Smith, M.-C., & Cramer, S. (2018). Biomarker-based patient selection improves stroke rehabilitation trial efficiency. bioRxiv10.1101/459776
    URL: http://hdl.handle.net/2292/45617
    Other University of Auckland co-authors: Cathy Stinear, Alan Barber, Winston Byblow
  • Connell, L. A., Smith, M.-C., Byblow, W. D., & Stinear, C. M. (2018). Implementing biomarkers to predict motor recovery after stroke. NeuroRehabilitation, 43 (1), 41-50. 10.3233/nre-172395
    Other University of Auckland co-authors: Winston Byblow, Cathy Stinear
  • Stinear, C. M., Byblow, W. D., Ackerley, S. J., Smith, M.-C., Borges, V. M., & Barber, P. A. (2017). PREP2: A biomarker-based algorithm for predicting upper limb function after stroke. Annals of Clinical and Translational Neurology, 4 (11), 811-820. 10.1002/acn3.488
    URL: http://hdl.handle.net/2292/44067
    Other University of Auckland co-authors: Cathy Stinear, Winston Byblow, Alan Barber
  • Smith, M. C., Barber, P. A., & Stinear, C. M. (2/10/2017). TWIST: An algorithm to predict Time to Walk Independently after STroke. Poster presented at Exposure Conference, University of Auckland, Auckland, New Zealand.
    Other University of Auckland co-authors: Alan Barber, Cathy Stinear
  • Smith, M.-C., Barber, P. A., & Stinear, C. M. (2017). The TWIST algorithm predicts time to walking independently after stroke. Neurorehabilitation and Neural Repair, 31 (10-11), 955-964. 10.1177/1545968317736820
    URL: http://hdl.handle.net/2292/44505
    Other University of Auckland co-authors: Alan Barber, Cathy Stinear
  • Smith, M. C. (2017). A clinical algorithm for predicting when patients will walk independently after stroke. Paper presented at Stroke Society of Australasia Conference, Queenstown, New Zealand. 23 August - 25 August 2017.
    Other University of Auckland co-authors: Alan Barber, Cathy Stinear

Contact details

Primary office location

AUCKLAND HOSPITAL - Bldg 599
Level 12, Room 12065
2 PARK RD
GRAFTON
AUCKLAND 1023
New Zealand