Distinctive patterns of Multiple Object-Tracking performance trajectories in youth with deficits in attention, learning, and intelligence

Statistical analysis of NeuroTracker learning reveals cognitive characteristics between attention-deficit/hyperactivity disorder, specific learning disorder, and Intellectual developmental disorder

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Researchers

January 2023

in

Science direct

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Aim

To investigate if NeuroTracker learning rates can characterize different neurodevelopmental conditions in children.

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Method

The researchers focused on three different neurodevelopmental conditions: Attention-deficit/hyperactivity disorder (ADHD), Specific learning disorder (SLD), and Intellectual developmental disorder (IDD). 101 participants aged 6 to 17 years old completed a total of 30 NeuroTracker sessions over a period of 5 weeks, along with standardized neuropsychological assessments to confirm each neurodevelopmental diagnosis.

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Result

Progression in NeuroTracker scores throughout the training program were scientifically analyzed using a latent growth curve modeling technique. This analysis revealed 1) a decreased baseline performance for children with IDD along with slower initial learning rates, 2) children with ADHD and SLD demonstrate a reduced rate of longer-term learning, 3) a significant overlap exists between individuals diagnosed with ADHD and SLD.

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