Spatial exploration and navigation in Down syndrome and Williams syndrome
View abstract on PubMed
Summary
This summary is machine-generated.People with intellectual disability (ID) show varied spatial navigation skills. Down syndrome (DS) and Williams syndrome (WS) groups performed differently in virtual environments, highlighting individual differences in navigation abilities.
Area Of Science
- Cognitive Psychology
- Neurodevelopmental Disorders
- Spatial Navigation
Background
- Limited understanding of spatial exploration and navigation in individuals with intellectual disability (ID).
- Need to investigate cross-syndrome differences and similarities in navigation abilities.
Purpose Of The Study
- To compare spatial navigation and exploration behaviors in individuals with Down syndrome (DS), Williams syndrome (WS), and typically developing (TD) children.
- To identify distinct behavioral profiles in spatial navigation using a transdiagnostic approach.
Main Methods
- Cross-syndrome study involving individuals with DS, WS, and TD children (aged 5-11 years).
- Participants explored virtual environments with two distinct goals: environmental learning (Experiment 1) and target location (Experiment 2).
- Latent Profile Analysis used to identify transdiagnostic behavioral profiles.
Main Results
- In environmental learning, DS and WS groups performed similarly, comparable to TD children with similar non-verbal abilities.
- In target location tasks, the DS group showed weaker performance than the WS group and TD children.
- Exploration patterns differed: DS showed weak, static exploration; WS showed atypical exploration with increased revisits.
- Latent Profile Analysis revealed five profiles; only the most extreme (poor navigators) was specific to DS and WS, with other profiles showing mixed DS and WS representation.
Conclusions
- Spatial navigation abilities vary significantly among individuals with intellectual disability.
- Task demands (e.g., target location vs. general exploration) reveal differences between DS and WS.
- A transdiagnostic, data-driven approach is valuable for understanding heterogeneity in ID and identifying navigation profiles.

