The goal of this study is to investigate the neural mechanisms that undergoes spatial navigation skills in children/adolescents aged between 8 and 17 years. These skills play an important role in daily life, as they allow us to orient ourselves in familiar and unfamiliar environments, locate objects, interact with them and memorize their position. Navigation abilities vary widely between individuals, change with age and might be affected by diseases, such as the cerebral palsy (CP). Previous studies have, in fact, demonstrated differences in the learning and adaptation methods of spatial navigation skills in children affected by CP compared to typically developing (TD) peers. Through the use of the electroencephalogram (EEG) we want to shed light on the mechanisms that govern this ability with the aim of: 1. better characterize spatial navigation skills in children/adolescents, both TD and affected by CP; 2. investigate the origin of the differences found between the spatial navigation skills of TD children and those affected by CP, improving knowledge of the pathology and thus allowing, in the future, to identify more adequate rehabilitation interventions.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
70
Evaluation of the cognitive level through the Raven test and of spatial navigation skills through the Corsi test and the maze sub-test of the WISC-III.
Administration of the navigation task in an immersive virtual reality environment and EEG signal recording. The participant will wear virtual reality viewers and EEG cap. The task consists in moving and orienting themselves inside a five-way maze in order to reach a treasure. The participant will be asked to carry out 30 trials lasting a maximum of 120s each.
IRCCS Scientific Institute E. Medea
Bosisio Parini, LC, Italy
RECRUITINGIRCCS Scientific Institute E. Medea
Conegliano, TV, Italy
RECRUITINGPower Spectral Density (PSD)
Differences in power values between TD and CP subjects
Time frame: Once
Navigation performance
Navigation performance based on the following parameters: number of routes visited in each trial; total length of the path for each trial; error between distance traveled and ideal distance for each trial (identified as the minimum distance to reach the treasure from the starting point); angle of rotation of the viewer in each trial; duration of each trial.
Time frame: Once
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