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Dr Rosie Morris

Associate Professor

Department: Sport, Exercise and Rehabilitation

Rosie Morris

My research focuses on the relationship between mobility (including gait, turning, balance and falls) and cognition in older adults and people with neurological condictions (e.g. Parkinson’s disease, Dementia etc.), and the importance of this relationship to clinical practice; particularly Physiotherapy. To conduct my research and understand the relationships involved I use novel digital technologies that could be applied within clinical practice in the future. Ultimately, my research aims to develop new understanding of neurological impairment and enhance clinical assessment and rehabilitation. 

 

I completed my NIHR funded doctoral research at Newcastle University, which focused on gait as a biomarker for cognitive decline in people with Parkinson’s disease with additional work focusing on the gait-cognition relationship in people with PD in the ‘real-world’ environment. I completed a postdoctoral training year at Newcastle University working on a project that focused on non-invasive vagus nerve stimulation as an intervention to increase cholinergic output and how this related to gait and cognition performance. Following this I became a postdoctoral fellow at Oregon Health and Science University (USA), where my main focus was on a large NIH-funded national study (Pacific-UDALL) assessing the role of Parkinson’s disease genotype and how this influences the gait-cognition relationship.

 

  • Please visit the Pure Research Information Portal for further information
  • Coproduction and Usability of a Smartphone App for Falls Reporting in Parkinson Disease, Wales, J., Moore, J., Naisby, J., Ratcliffe, N., Barry, G., Amjad, A., Godfrey, A., Standerline, G., Webster, E., Morris, R. 1 Feb 2024, In: Physical Therapy
  • A cholinergic contribution to postural control and freezing of gait in Parkinson’s disease, Yarnall, A., Morris, R. 1 Aug 2023, In: Brain
  • Bespoke fuzzy logic design to automate a better understanding of running gait analysis, Young, F., Stuart, S., McNicol, R., Morris, R., Downs, C., Coleman, M., Godfrey, A. 1 May 2023, In: IEEE Journal of Biomedical and Health Informatics
  • Cognition and Freezing of Gait in Parkinson's Disease: A Systematic Review and Meta-Analysis, Monaghan, A., Gordon, E., Graham, L., Hughes, E., Peterson, D., Morris, R. 1 Apr 2023, In: Neuroscience & Biobehavioral Reviews
  • Combination of Clinical and Gait Measures to Classify Fallers and Non-Fallers in Parkinson’s Disease, Araújo, H., Smaili, S., Morris, R., Graham, L., Das, J., McDonald, C., Walker, R., Stuart, S., Vitório, R. 11 May 2023, In: Sensors
  • Contextualizing remote fall risk: Video data capture and implementing ethical AI, Moore, J., McMeekin, P., Parkes, T., Walker, R., Morris, R., Stuart, S., Hetherington, V., Godfrey, A. 5 Feb 2023, In: npj Digital Medicine
  • Exploring the effects of dopamine on sensorimotor inhibition and mobility in older adults, Martini, D., Morris, R., Harker, G., Kelly, V., Nutt, J., Horak, F. Jan 2023, In: Experimental Brain Research
  • Gait and Balance in Apolipoprotein Ɛ4 allele carriers in older adults and Parkinson’s disease, Morris, R., Martini, D., Kelly, V., Smulders, K., Ramsey, K., Hiller, A., Chung, K., Hu, S., Zabetian, C., Poston, K., Mata, I., Edwards, K., Lapidus, J., Cholerton, B., Montine, T., Quinn, J., Horak, F. 22 May 2023, In: Clinical Parkinsonism and Related Disorders
  • Internet-of-Things-Enabled Markerless Running Gait Assessment from a Single Smartphone Camera, Young, F., Mason, R., Morris, R., Stuart, S., Godfrey, A. 7 Jan 2023, In: Sensors
  • IoT-enabled gait assessment: The next step for habitual monitoring, Young, F., Mason, R., Morris, R., Stuart, S., Godfrey, A. 19 Apr 2023, In: Sensors

Julia Das Visuo-cognitive training in Parkinson’s disease Start Date: 17/01/2024

  • Neurosciences PhD May 30 2017
  • Physiotherapy MSc January 01 2013
  • Neurosciences BSc (Hons) June 01 2010
  • Member Chartered Society of Physiotherapy (CSP) 2019

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