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

Area of Science:

• Neuroscience
• Psychiatry
• Computational Biology

Background:

• Mindfulness-Based Cognitive Therapy (MBCT) shows promise for treating Attention-Deficit/Hyperactivity Disorder (ADHD) without known side effects.
• The precise mechanisms through which MBCT influences brain function in ADHD remain unclear.
• Understanding these mechanisms is crucial for optimizing treatment strategies and developing personalized interventions.

Purpose of the Study:

• To investigate the effects of MBCT on resting-state electroencephalography (EEG) microstate dynamics in adults with ADHD.
• To explore the relationship between MBCT-induced changes in brain network dynamics and clinical improvements.
• To develop machine learning models for predicting individual treatment responses to MBCT based on pre-treatment EEG data.

Main Methods:

• A randomized controlled trial involving 61 adults with ADHD, comparing a 12-week MBCT intervention to a waitlist control.
• Resting-state EEG data were collected pre- and post-intervention, analyzed using microstate analysis across different frequency bands.
• Machine learning models were employed to predict treatment response based on pre-treatment microstate dynamics.

Main Results:

• MBCT significantly altered temporal dynamics of EEG microstates A and B, increasing their coverage and duration.
• Significant changes were observed in the explained variance of microstate A (theta band) and microstate D (alpha band).
• These neurophysiological changes strongly correlated with improvements in ADHD symptoms, mindfulness, quality of life, and executive functions.
• Machine learning models achieved 83% accuracy in predicting individual treatment responses using pre-treatment microstate dynamics.

Conclusions:

• MBCT systematically modulates resting-state neural microstates (A, B, and D) in adults with ADHD.
• Computational EEG biomarkers derived from microstate dynamics show potential for guiding personalized mindfulness-based interventions.
• This study provides a neurophysiological basis for MBCT's efficacy in ADHD and highlights the potential of precision psychiatry.