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Clinical Trial Summary

This study will use functional magnetic resonance imaging (MRI) to examine loss of balance in the elderly. Falls due to balance problems are a major health issue in older people, often resulting in bone fractures and other bodily injuries, and in functional decline. Risk factors for falling in the elderly include some standing positions in which older people usually experience balance problems, such as leaning forwards or backwards. Functional MRI records brain function while the subject performs a task, such as moving a limb or speaking, and detects changes in the brain regions involved in those tasks. This study will look at different brain areas to see which areas might control what people see around them while they are standing.

Healthy normal volunteers between 20 and 90 years of age may be eligible for this study. Candidates must be in good health, have no difficulties in performing activities of daily living, and be able to walk for at least 400 meters (1/4 mile). They will be screened with a medical history and physical examination.

Participants will undergo functional MRI while performing visual recognition tasks in two experiments, described below. For the MRI procedure, the subject lies in the MRI scanner, a narrow metal cylinder containing a strong magnet, for 20 minutes to 3 hours, with most scans lasting between 45 and 90 minutes. The experiments are as follows:

Experiment 1

During MRI scanning, the subject watches computer-generated movies of a person leaning forwards and backwards. When the subject recognizes an unstable body position in the movements, he or she presses a computer mouse.

Experiment 2

During MRI scanning, the subject watches still pictures of people leaning in stable and unstable postures and presses a button as soon as he or she recognizes that the posture is unstable.


Clinical Trial Description

A number of studies have explored the role of visual, vestibular and somatosensory systems in the control of upright posture. However, the cortical control of postural stability, in general, and the role of higher cognitive function in assessment of postural stability, in specific, has not been studied extensively. It is well established that certain features of postural control change during the advancing years of life so that the stability of posture can be a problem in the elderly. However, neural mechanisms of postural stability that decline with age and make older adults more prone to falling have not been identified specifically. To characterize specific causes of falling in the elderly is problematic, because human posture is a product of an extremely complex dynamical system and like any other physical activity undergoes dramatic changes in organization throughout the life-span. In our previous research we showed the neural activation patterns embodied in the electroencephalogram (EEG) were associated with recognition of unstable postures in young healthy subjects. In another protocol, we propose that these patterns will systematically change with aging, and will result in difficulty to discriminate relevant from irrelevant information in the control of upright posture. The present study focuses on the evaluation of neural activation patterns underlying recognition of unstable postures in 15 young controls and 15 elderly subjects using both the block and event-related functional MRI (fMRI) designs. We will first analyze how the frontal-parieto-occipital circuits play a role in perception of postural stability in young subjects and then perform similar studies using elderly subjects. After the fMRI measurements a detailed evaluation of the haemodynamic response (BOLD) signals will be performed. Further analysis will look at the functional connectivity between the motion-selective cortical area (V5), the posterior parietal cortex (PP) and the frontal cortex (FC), using correlation methods. It is expected that from the study will uncover important insights in neural mechanisms as it relates to the self-perception of postural stability and its deterioration as a result of aging. ;


Study Design

N/A


Related Conditions & MeSH terms


NCT number NCT00060593
Study type Observational
Source National Institutes of Health Clinical Center (CC)
Contact
Status Completed
Phase N/A
Start date May 2003
Completion date May 2005

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