Portrait of Prof Steve Lord




The Falls and Balance Research Group, directed by Professor Stephen Lord, aims to enhance understanding of human balance and involves investigations of sensory and motor contributions.

Investigation of the role of different sensory and motor systems enhance our understanding of how humans maintain balance. Studies are being conducted to explore the effects of vision, sensation and vestibular function on balance while standing and walking in different groups of people. For example, our research into the vestibular system, involving galvanic vestibular stimulation while people are walking is elucidating the role of navigation during gait. Other research that involves shaking the head while completing a visual task is being conducted to better understand the vestibulo-ocular reflex, which allows vision to remain stable while the head is moving.

Identification of factors which increase an individual’s risk of falling is vital for prevention of falls and injuries. Current studies are designed to investigate the physiology and biomechanics of standing, walking, stepping reactions, trips and slips, and for the design safe footwear for older adults. Epidemiological and physiological research is also being conducted to enhance our understanding of various risk factors in older adults and clinical groups. Large studies are being conducted to understand the physiological and behavioural risk factors for falls in older individuals. Participants undergo a series of physiological (vision, strength, sensation, speed, balance) and behavioural (high versus low-risk taking tendencies) assessments. Understanding the physiological and psychological risk factors for falling allows for better informed intervention strategies for prevention of falls in different populations.

Research is underway to develop, implement and systematically evaluate falls and injury prevention strategies for hospital patients and other groups of people known to be at an increased risk of falls.

The problem of falls

Falls are the leading cause of injury-related hospitalisation in persons aged 65 years and over and account for four percent of all hospital admissions in this age-group . Hospital admissions resulting from falls are uncommon in young adulthood but with advancing age, the incidence of fall-related admissions increases at an exponential rate. Beyond 40 years, the admission rate due to falls increases consistently by 4.5% per year for men (doubling every 15.7 years) and by 7.9% per year for women (doubling every 9.1 years). In those aged 85 years and over, the levels have climbed to 4% per annum in men and 7% per annum in women. Falls also account for 40% of injury-related deaths and one percent of total deaths in this age group.

Depending on the population under study, between 22-60% of older people suffer injuries from falls, 10-15% suffer serious injuries, 2-6% suffer fractures and 0.2-1.5% suffer hip fractures. The most commonly self-reported injuries include superficial cuts and abrasions, bruises and sprains. The most common injuries that require hospitalisation comprise femoral neck fractures, other fractures of the leg, fractures of radius, ulna and other bones in the arm and fractures of the neck and trunk.

In terms of morbidity and mortality, the most serious of these fall-related injuries is fracture of the hip. Elderly people recover slowly from hip fractures and are vulnerable to post-operative and bed rest complications. In many cases, hip fractures result in death and of those who survive, many never regain complete mobility. Another consequence of falling is the “long lie” – remaining on the ground or floor for more than an hour after a fall. The long lie is a marker of weakness, illness and social isolation and is associated with high mortality rates among the elderly. Time spent on the floor is associated with fear of falling, muscle damage, pneumonia, pressure sores, dehydration and hypothermia . Falls can also result in restriction of activity and fear of falling, reduced quality of life and independence. Even falls that do not result in physical injuries can result in the “post-fall syndrome” – a loss of confidence, hesitancy, tentativeness with resultant loss of mobility and independence. It has been found that after falling, 48% of older people report a fear of falling and 25% report curtailing activities.

Finally, falls can also lead to disability, decreased mobility which often results in increased dependency on others and hence an increased probability of being admitted to an institution. Falls are commonly cited as a contributing reason for an older person requiring admission to a nursing home.

What causes falls?

Human balance is thought to depend on the interaction of multiple sensory, motor and integrative systems. There is a growing body of evidence that indicates that functioning in sensory, motor and integration systems decline significantly with age and that impairment in these systems is associated with falling in elderly persons. In fact, in many sensorimotor systems, researchers have noted that even in the absence of any documented pathology, many people experience age-related declines in function. We have also found that on clinical examination, many older persons with a history of falls have no identifiable neurological or musculoskeletal pathology yet perform poorly in tests of sensori-motor function. Our approach to balance and falls is functional rather than disease-oriented, and the battery of simple sensori-motor tests developed by Dr Lord is capable of predicting elderly fallers with an accuracy of 80%. For a description of these tests, click here.

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Caress the Detail: A Comprehensive MRI Atlas of the in Vivo Human Brain

This project aims to deliver the most comprehensive, detailed and stereotaxically accurate MRI atlas of the canonical human brain. In human neuroscience, researchers and clinicians almost always investigate images obtained from living individuals. Yet, there is no satisfactory MRI atlas of the human brain in vivo or post-mortem. There are some population-based atlases, which valiantly solve a number of problems, but they fail to address major needs. Most problematically, they segment only a small number of brain structures, typically about 50, and they are of limited value for the interpretation of a single subject/patient. In contrast to population-based approaches, the present project will investigate normal, living subjects in detail. We aim to define approximately 800 structures, as in the histological atlas of Mai, Majtanik and Paxinos (2016), and, thus, provide a “gold standard” for science and clinical practice. We will do this by obtaining high-resolution MRI at 3T and 7T of twelve subjects through a collaboration with Markus Barth from the Centre for Advanced Imaging at the University of Queensland (UQ). The limited number of subjects will allow us to image each for longer periods, obtaining higher resolution and contrast, and to invest the required time to produce unprecedented detail in segmentation. We will produce an electronic atlas for interpreting MR images, both as a tablet application and as an online web service. The tablet application will provide a convenient and powerful exegesis of brain anatomy for researchers and clinicians. The open access web service will additionally provide images, segmentation and anatomical templates to be used with most common MR-analysis packages (e.g., SPM, FSL, MINC, BrainVoyager). This will be hosted in collaboration with UQ, supporting and complementing their population-based atlas.