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Poster Session A: Tuesday, August 12, 1:30 – 4:30 pm, de Brug & E‑Hall

Characterizing ADHD-Related Inhibitory Control Deficits via Multidimensional EEG Signatures

Negin Gholamipourbarogh¹, Annet Bluschke, Christian Beste; ¹Technische Universität Dresden

Presenter: Negin Gholamipourbarogh

Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental condition characterized by persistent difficulties in attention regulation and behavioral control. Although electroencephalography (EEG) has provided valuable insights into the neural correlates of ADHD, capturing the full complexity of its underlying brain dynamics requires more advanced analytical approaches. In this study, we employed non-negative tensor decomposition to examine multi-dimensional EEG data collected during a Go/NoGo task. This method revealed distinct neural signatures in individuals with ADHD, particularly involving posterior alpha and theta oscillations during early attentional engagement and later stages of inhibitory control. These findings challenge the traditional focus on fronto-central theta activity and underscore the potential relevance of posterior oscillatory dynamics in the development of more targeted neurofeedback interventions for ADHD.

Topic Area: Predictive Processing & Cognitive Control

Extended Abstract: Full Text PDF