A COMPLEXITY-BASED EXAMINATION OF VARIATIONS IN BRAIN ACTIVITY BETWEEN INDIVIDUALS WITH INTELLECTUAL AND DEVELOPMENTAL DISORDERS (IDD) AND HEALTHY CONTROLS DURING REST AND EXTERNAL STIMULATION PERIODS

Investigating the disparities in brain activity between healthy individuals and those with intellectual and developmental disorders (IDD) is pivotal in biomedical research. In this study, we delved into these differences by employing a complexity-based analysis of electroencephalogram (EEG) signals. Specifically, we computed the fractal dimension (FD), approximate entropy, and sample entropy (SampEn) of EEG signals for both control (healthy) subjects and IDD individuals during rest and stimulation with music. Our findings revealed that IDD subjects exhibited higher complexity in both rest and stimulation scenarios compared to control subjects, indicative of heightened brain activity complexity among IDD individuals. This analysis not only sheds light on the variations in brain activity associated with IDD, but also underscores its potential applicability in assessing brain activity alterations across various disorders compared to healthy counterparts.