Exploration of locomotion as a window to:

• Understand
• Improve

Cognitive Function in Older Adults and Individuals with Parkinson’s Disease.

RESEARCH  FOCUS

Neural engineering and rehabilitation with an emphasis on:

• Experimental Models
• Statistical Models

that Examine Predictors of Disease States or Events in order to Improve Function. 

Isabelle’s research focus is on aging and clinical populations.

Specifically, investigating the efficacy of kinematic measures at (1) predicting conversion from cognitive health and (2) improving cognitive function through clinical interventions.

Isabelle’s contributions span from statistical modelling of variables (gait, neuropsychological, effects of disease) in large datasets, examining the efficacy of novel experimental and acquisition methods (dual tasks, ambulatory gait-EEG) for employment in a clinical setting, and analysis methods for supervised and unsupervised gait.

Isabelle holds a PhD in Neural Engineering, MSc in Bioengineering, PG Dip in Statistics and BA BAI in Mechanical Engineering from Trinity College, The University of Dublin in Ireland.

EXPERTISE

Gait analysis, cognitive function, statistical modelling, dual task paradigms, ambulatory gait-EEG analysis, neural engineering, connected health.