Author

Sadikul Haque Sadi

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Open access 2026

A Minimal EEG Montage for Adult ADHD Detection: Discovering the Frontoparietal Beta–Theta Framework Via Explainable AI

Current deep learning models for Attention-Deficit/Hyperactivity Disorder (ADHD) diagnostics rely on opaque, high-density electroencephalography (EEG) arrays, limiting their clinical utility. This study aims to transition adult ADHD screening from an uninterpretable “closed box” into a transparent, scalable framework b...

Sadikul Haque Sadi, Md. Nurul Ahad Tawhid · IEEE Access · 0 citations

Open access Sep 2026

Integrating socioeconomic context with multimodal EEG data for improved ADHD risk screening

A novel multimodal deep learning architecture integrating three complementary streams: temporal EEG dynamics via one-dimensional convolutional-recurrent networks, spectro-temporal patterns via two-dimensional convolutional networks with spatial and channel attention, and socioeconomic context via feedforward processing...

Sadikul Haque Sadi, Md Arman Hossain, Md. Nurul Ahad Tawhid · PLoS ONE · 0 citations