A new small-scale study reveals transcranial direct current stimulation improved gait and increased the benefits of aerobic exercise in Parkinson's patients.
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··4 min readCombing gait data from multiple sclerosis patients with machine learning, researchers have developed a new tool to monitor and predict disease progression.
Gait variability in older adults could be a predictor of cognitive decline and Alzheimer's disease. Researchers found higher gait variability was associated with lower cognitive performance and an accurate predictor of Alzheimer's disease.
Handgrip strength correlates with cognitive function, attention, and psychomotor function in older men. No association was found between muscle mass and cognitive function.
Gait disorders and slowed walking speeds may be useful indicators of future cognitive decline.
Slower walkers have accelerated aging in middle age, both physically and cognitively. Tests given to measure IQ, language, motor skills, and emotional control at age 3, can predict walking speed and thus accelerated aging during middle age.
People with two common types of dementia, Lewy body dementia, and Alzheimer's disease, have unique walking patterns. The gait type signals subtle differences between the two disorders. Those with Lew body dementia change their steps more, varying the step time and length. They also display more asymmetry in movement compared to those with Alzheimer's disease. Researchers say gait could be a clinical biomarker for dementia subtypes.
Slower walking speed may be associated with the development of mobility disorders later in life.
According to researchers, older adults who engage in activities perceived to be worthwhile, such as supporting grandchildren or completing a project, have better sleep, walking speeds and experience less chronic pain.
A study of Parkinson's patients reveals neural activity alternates between the right and left sides of the brain as we walk.
Researchers report a simple walking test may help doctors to accurately diagnose the onset of dementia.
University of Copenhagen researchers have identified two areas of the midbrain that appear to play specific roles in the start, speed and content of dependent selection of locomotion in mice.
