Prior to moving to TRI in 2012, Brian Maki was Director of the Centre for Studies in Aging at Sunnybrook Health Sciences Centre, where his research lab was based from 1987 to 2012. Trained in biomechanical engineering, his primary research interests involve the biomechanics and neural control of balance and movement. His research has focused primarily on the problem of falling in older adults: understanding age-related balance impairment, developing improved methods for assessing balance and predicting fall risk, and developing new interventions to prevent falls and related injuries. His work has been funded by the Canadian Institutes of Health Research (CIHR) continuously since 1989, and he has also received funding from other Canadian agencies, from the U.S. National Institute on Aging and from private industry. He has held a CIHR Senior Investigator career award (1999-2004), was the leader of a CIHR New Emerging Team (2002-07), and currently leads a CIHR Mobility in Aging Team (2008-2016). He has published over 100 peer-reviewed articles and has supervised or co-supervised more than 50 research fellows and students. His work has resulted in three patents and has influenced nine national and international building codes.
Brain Res. 2003 Jan 24;961(1):73-80
Exp Brain Res. 2002 Oct;146(3):315-21
Environmental constraints on foot trajectory reveal the capacity for modulation of anticipatory postural adjustments during rapid triggered stepping reactions.
Exp Brain Res. 2002 Sep;146(1):38-47
Can stabilizing features of rapid triggered stepping reactions be modulated to meet environmental constraints?
Exp Brain Res. 2002 Aug;145(3):297-308
Neuroreport. 2001 Nov 16;12(16):3583-7
Neuroreport. 2001 Sep 17;12(13):2821-5
The role of plantar cutaneous mechanoreceptors in the control of compensatory stepping reactions evoked by unpredictable, multi-directional perturbation.
Brain Res. 2000 Sep 22;877(2):401-6
J Gerontol A Biol Sci Med Sci. 2000 May;55(5):M270-7
Thresholds for step initiation induced by support-surface translation: a dynamic center-of-mass model provides much better prediction than a static model.
J Biomech. 2000 Mar;33(3):387-92
Senior Scientist, Toronto Rehabilitation Institute (TRI)
Professor, Department of Surgery, University of Toronto
Adjunct Professor, Institute of Biomaterials and Biomedical Engineering, University of Toronto
Adjunct Professor, Department of Kinesiology, University of Waterloo
Adjunct Professor, School of Physical and Occupational Therapy, McGill University
Adjunct Member, School of Graduate Studies, Ryerson University