SECTION 1 : PROGRESS
THE MICHAEL J . FOX FOUNDATION 2022 IN REVIEW
Predicting Symptoms Before They Appear
Cultural Impact on Self-reported Symptoms Clinicians rely on patients ’ self-reporting to ensure optimal treatment of each individual ’ s specific range of symptoms . Yet wide variations exist in how patients report their experiences to their doctors , which may contribute to challenges in diagnosis , treatment deficits and suboptimal outcomes . MJFF is funding researchers at Toronto Western Hospital in Canada to compare how cultural background may impact self-reporting of cognitive symptoms . They posit that one ’ s culture may affect how a patient reports any differences in memory or thinking ability . More clarity on these influences could help doctors interpret self-reported information and improve diagnoses of cognitive changes .
An Algorithm to Detect Gait Changes from Wearables Wearable sensors ( such as smart watches and similar devices ) could help scientists measure gait changes . MJFF is supporting a data challenge toward that aim with a team in Israel at Tel Aviv Sourasky Medical Center . The winning data scientists will create an algorithm to measure gait from sensor data . Sensor data is especially valuable in viewing the impact of disease in daily life . A formula to measure gait could help doctors assess walking and balance changes and the impact of treatments .
Protein Level May Predict Memory Problems The protein NfL ( neurofilament light chain ) is released when brain cells are damaged . Now this biological process may help scientists predict dementia . Much data analysis , including from our Parkinson ’ s Progression Markers Initiative ( PPMI ) study ( read more on page 24 ), has shown that people with high NfL levels at baseline had a greater risk of developing memory and thinking problems . Markers for risk of cognitive decline could help patients know what to expect in their disease — which could guide treatment and lifestyle decisions and help scientists develop new treatments .
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