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Sevket Hepark

2 papers in the library · publishing 2025-2026

Papers

Electrocortical Indices of Default Mode Network-Related Activity in ADHD and Modulation Through Mindfulness-Based Cognitive Therapy.

Brain Topography June 26, 2026 Poppy L A Schoenberg, Reza M Zargar, Sevket Hepark

ADHD involves a dominant Default-Mode Network (DMN) and reduced Task Positive Network (TPN) activity, impairing attention and executive function. Using EEG data from 54 ADHD patients and 16 healthy controls, the study found significantly reduced power across EEG spectra and increased medial ventral prefrontal cortex activation in ADHD patients. A 12-week Mindfulness-Based Cognitive Therapy (MBCT) program, with 30 patients randomly assigned to MBCT and 24 to a wait-list, increased beta power and precuneus activation. These changes may reflect enhanced cortical alertness and more adaptive DMN-TPN regulation, suggesting MBCT's clinical utility and potential neural markers for inattention and executive dysfunction.

Mapping neural effects of mindfulness-based cognitive therapy in ADHD using EEG microstates and machine learning models.

Frontiers in Psychiatry January 1, 2025 Reza Meynaghizadeh Zargar, Sevket Hepark, Poppy L A Schoenberg

Mindfulness-based cognitive therapy (MBCT) reshapes resting-state brain network dynamics in adults with ADHD, as measured by EEG microstates. After a 12-week MBCT program, participants showed increased coverage and duration of microstates A and B, along with changes in microstate A (theta band) and microstate D (alpha band). These neural changes correlated with improvements in ADHD symptoms, mindfulness, quality of life, and executive function. Machine learning models using pre-treatment microstate dynamics predicted individual treatment response with 83% accuracy, suggesting that EEG biomarkers could help personalize mindfulness-based interventions for ADHD.