Author

Md. Nurul Ahad Tawhid

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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

Attention-deficit/hyperactivity disorder (ADHD) affects millions globally, yet current diagnostic approaches rely on subjective behavioral assessments without objective neurophysiological markers. While machine learning on electroencephalogram (EEG) data shows promise for automated ADHD risk screening, current methods...

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