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Topic: Kinematic data

ePoster
2 ePosters

In Neuroscience

Kinematic data predict risk of future falls in patients with Parkinson’s disease without a history of falls: A five-year prospective study

Max Brzezicki, Charalampos Sotirakis, Niall Conway, James J FitzGerald, Chrystalina Antoniades · FENS Forum 2024

Parkinson’s disease (PD) is associated with an increased risk of falls. For people living with PD, experiencing a fall can lead to multiple injuries and significant health decline. An accurate falls risk assessment is therefore needed for care planning and targeted fall prevention programmes. Traditional fall risk assessment relies on clinical assessment which may be subjective and time-consuming. More recent approaches utilised sensor data but so far offered only up to one year of follow-up. We tested whether a short sensor-based assessment can predict the first fall in up to five years. 104

ePoster · Neuroscience

Mice copy conspecifics when uncertain during joint perceptual decision-making

Andrea Valderrama Alvarez, Dimokratis Karamanlis, Anas Masood, Sami El-Boustani · FENS Forum 2024

In social species, signals from conspecifics can help interpret ambiguous sensory information crucial for survival, such as locating food sources or detecting predators. To investigate the influence of conspecific cues on goal-directed decision-making, we devised a two-alternative forced-choice task for pairs of freely moving mice positioned facing each other. Water-restricted mice were trained to discriminate between visual stimuli indicating the location of a water reward. To evaluate their reliance on conspecific cues under conditions of uncertainty, we positioned the reward on the same sid

ePoster · Neuroscience