Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT.

Area of Science:

• Neuroscience
• Pediatric Psychology
• Digital Health

Background:

• Attention-Deficit/Hyperactivity Disorder (ADHD) significantly impacts children's academic and social functioning.
• Non-pharmacological interventions are increasingly explored as complementary ADHD treatments.
• Digital cognitive therapy offers a novel approach to managing ADHD symptoms.

Purpose of the Study:

• To evaluate the efficacy of an AI-driven digital cognitive program for ADHD.
• To assess the program's impact on impulsiveness, inattentiveness, and neurophysiological markers.
• To explore the relationship between cognitive improvements and brain activity changes.

Main Methods:

• A randomized controlled trial involving 41 children (aged 8-12) diagnosed with ADHD.
• Intervention group received 12 weeks of AI-driven therapy; control group received a placebo.
• Magnetoencephalography (MEG) was used to analyze brain activity pre- and post-intervention.

Main Results:

• The AI-driven therapy group showed significant reductions in impulsiveness and inattentiveness scores.
• Treatment was associated with normalized MEG spectral profiles, suggesting neuromaturation.
• Improvements in inhibitory control correlated with normalized spectral profiles in the parieto-temporal cortex.

Conclusions:

• AI-driven digital cognitive therapy can effectively reduce impulsiveness in children with ADHD.
• The therapy enhances neurophysiological efficiency, indicated by normalized brain activity patterns.
• Neurophysiological markers can be utilized to assess the efficacy of technology-driven ADHD interventions.