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Why do individuals with Williams syndrome or Down syndrome fail the Weather Prediction Task?
Emilie Bochud-Fragnière1, Gianni Lonchampt1, Paola Bittolo1
1Laboratory of Brain and Cognitive Development, Institute of Psychology, University of Lausanne, Lausanne, Switzerland.
Individuals with Williams syndrome (WS) and Down syndrome (DS) struggle with learning tasks requiring complex decision-making, showing deficits in executive functions. Optimizing learning in these neurodevelopmental disorders requires clear feedback and minimizing distractions.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Genetics
Background:
- Williams syndrome (WS) and Down syndrome (DS) are neurodevelopmental disorders with distinct genetic origins.
- Both conditions are associated with mild to moderate intellectual disability.
- Individuals with WS and DS show impaired hippocampus-dependent learning but enhanced striatum-dependent learning.
Purpose of the Study:
- To investigate learning strategies in WS and DS outside the spatial domain using the Weather Prediction Task (WPT).
- To determine if concurrent memory tasks improve procedural learning in WS.
- To assess the impact of probabilistic feedback and distractors on WPT performance in WS and DS.
Main Methods:
- Utilized the Weather Prediction Task (WPT) to assess learning strategies.
- Administered a concurrent memory task to evaluate procedural learning enhancement.
- Employed a visual learning task with varying reward contingencies and a modified WPT with unpredictable cues to examine performance under challenging conditions.
Main Results:
- Only 10% of individuals with WS or DS successfully solved the WPT.
- A concurrent memory task did not improve WPT performance in individuals with WS.
- Both probabilistic feedback and distractors significantly impaired WPT performance in individuals with WS and DS.
Conclusions:
- Findings suggest deficits in hippocampus-dependent learning and executive functions in WS and DS.
- Congruent feedback and minimizing distractors are crucial for optimizing learning in these populations.
- WS and DS populations exhibit similar learning challenges in non-spatial probabilistic learning tasks.
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