This study demonstrates the effectiveness of deep learning in ADHD detection and highlights the importance of regional PSD metrics in accurate classification. By utilizing Grad-CAM, we elucidate the discriminative power of specific brain regions and frequency bands, thereby enhancing the understanding of ADHD neurobiology for improved diagnostic precision in pediatric populations.
Keyphrases
- attention deficit hyperactivity disorder
- working memory
- deep learning
- neural network
- autism spectrum disorder
- loop mediated isothermal amplification
- resting state
- machine learning
- real time pcr
- randomized controlled trial
- label free
- systematic review
- artificial intelligence
- convolutional neural network
- high density