2021-02-18 · Monitoring early detection
Identify cognitive impairment in gait to detect alzheimer’s disease
The gait patterns of older individuals can cue cognitive problems and even help diagnose different types of neurodegenerative diseases. For example, Alzheimer’s disease could possibly be identified at an early stage based on the gait. The way older people walk can be used to enable early diagnosis of different types of neurodegenerative diseases.
For our study, we examined the gait behaviour and brain functions of 1500 participating individuals who are currently enrolled in various clinical trials. In this way, we analysed for the first time how different patterns of gait in older people can be used to diagnose different types of dementia more accurately and possibly even detect Alzheimer’s disease at an early stage.
We have long had cues that cognitive problems such as memory impairment and executive dysfunction can be precursors to dementia. Now we see that motor performance, especially the way people walk, can help diagnose different types of neurodegenerative diseases. We were able to identify four independent gait patterns. These included rhythm, tempo, variability, and postural control (ability of the human body to maintain an upright body position under the influence of gravity). High gait variability was found to be associated with lower cognitive performance, which helped identify Alzheimer’s disease with 70 percent accuracy. So-called gait variability includes changes from step-to-step in length or time that occur during walking.
This is the first strong evidence that gait variability is an important marker of processes occurring in areas of the brain associated with both cognitive impairment and motor control. We have shown that high gait variability as a marker of cognitive-cortical dysfunction can reliably identify Alzheimer’s disease compared with other neurodegenerative diseases. In cognitive-cortical dysfunction, the ability of individuals to perform multiple tasks as well is impaired. This includes, for example, speaking while walking or cutting vegetables while talking to family.
Establishing gait variability as a motor marker for cognitive decline and different types of medical conditions could make it possible to use gait assessment as a clinical test, for example, by using wearable technology to capture gait, the research team explains. Gait variability could then be measured in clinics in a similar way to cardiac arrhythmias, for example, and used for medical assessment.
CONCLUSION
Increased gait variability may reflect the progression of cognitive impairment in neurodegenerative diseases, and potentially with specificity for Alzheimer’s disease dementia, which is the archetypal cortical cognitive disorder. Our study, therefore, supports the notion that, compared with other gait parameters, gait variability may be a putative marker of cognitive-cortical deterioration in neurodegenerative disorders. A future study using a validation cohort is required to confirm our findings.