Breadcrumb

null Lisa Koski, PhD

Investigator, RI-MUHC

Brain Repair and Integrative Neuroscience (BRaIN) Program

Centre for Translational Biology

Associate Professor, Department of Psychology, Faculty of Science, McGill University

Department of Medicine, Division of Geriatric Medicine, MUHC

 

Keywords

neuropsychology • neuroimaging • rehabilitation • cognitive disorders • transcranial magnetic stimulation

Research Focus

My research focuses on advancing knowledge of how human brain systems control behaviour, and on applying these insights to the development of new rehabilitative interventions for neurologic disorders such as stroke, multiple sclerosis, and dementia. Techniques range from non-invasive brain stimulation, to functional neuroimaging, to cognitive and behavioural testing. I have contributed numerous studies using transcranial magnetic stimulation (TMS) to probe and/or to directly modify activity in the human brain. As a clinical psychologist I have expertise in measuring cognitive impairment in geriatric populations and recommending specific rehabilitation strategies based on cognitive strengths and weaknesses.

Selected Publications

Click on Pubmed to see my current publications list

  • Nantes J C, Zhong J, Holmes S A, Whatley B, Narayanan S, LaPierre Y, Arnold D, Koski L. (2015 in press). Intracortical inhibition abnormality during the remission phase of multiple sclerosis is related to upper limb dexterity and lesions. Clinical Neurophysiology.

  • Lebedeva E, Gallant S, Tsai C-E, Koski L. (2015). Improving the measurement of cognitive ability in geriatric patients. Dementia and Geriatric Cognitive Disorders PMID: 26107499.

  • Koski L, Kolivakis T, Yu C, Chen J-K, Delaney S, Ptito A. (2015). Noninvasive brain stimulation for persistent postconcussion symptoms in mild traumatic brain injury. Journal of Neurotrauma, 32(1), 38–44 PMID: 24955920.

  • Raux M, Tyvaert L, Ferreira M, Kindler F, Bardinet E, Karachi C, Morelot-Panzini C, Gotman J, Pike GB, Koski L, Similowski T. (2013) Functional magnetic resonance imaging suggests automatization of the cortical response to inspiratory threshold loading in humans. Respiratory Physiology & Neurobiology, 189(3), 571–580 PMID: 23994177.

  • Konsztowicz S, Xie H, Higgins J, Mayo N, Koski L (2011). Development of a method for quantifying cognitive ability in the elderly through adaptive test administration. International Psychogeriatrics, 4, 1–8. PMID: 21457610.