Extracting cortical inhibition correlates in ERP-images within adult ADHD

ADHD presents a considerable social burden in adult life, and until recently was thought to be exclusive of children and adolescents. Techniques for an optimized diagnosis (based on electrophysiology) have been proven useful. In this paper, we present a new method for processing chirp-evoked, paired auditory late responses within the original time-domain, through two-dimensional image processing, using the non-local means approach. Results show effective denoising of cortical inhibition correlates in single sequences, which leads to an enhanced recognition of physiological features with fewer trials, as compared to averaging methods, reducing data loss and acquisition time. These results allow to optimize diagnosis by providing useful pointers regarding cortical inhibition within adult ADHD.