Reliability of reward ERPs in middle‐late adolescents using a custom and a standardized preprocessing pipeline

György Hámori, Alexandra Rádosi, Bea Pászthy, János M Réthelyi, István Ulbert, Richárd Fiáth, Nóra Bunford (2022),

Psychophysiology

Despite advantage of neuroimaging measures in translational research frame-works, less is known about the psychometric properties thereof, especially in middle- late adolescents. We examined in a sample of 43 adolescents, data quality (signal- to- noise ratio [SNR]), stability (mean amplitude across trials), and internal consist-ency (Cronbach’s α and split- half reliability) of reward-related ERPs. Further, because observed time course and peak amplitude of ERP grand averages and thus findings on SNR, stability, and internal consistency may depend on preprocessing method, we employed a custom and a standardized preprocessing pipeline and compared findings across those.

Adolescent ADHD and electrophysiological reward responsiveness: A machine learning approach to evaluate classification accuracy and prognosis

György Hámori, Bálint File, Richárd Fiáth, Bea Pászthy, János M Réthelyi, István Ulbert, Nóra Bunford (2023),

Psychiatry Research

We evaluated event-related potential (ERP) indices of reinforcement sensitivity as ADHD biomarkers by examining, in 306 adolescents, the extent to which ERP amplitude and latency variables measuring reward anticipation and response (1) differentiate, in age- and sex-matched subsamples, (i) youth with vs. without ADHD, (ii) youth at-risk for vs. not at-risk for ADHD, and, in the with ADHD subsample, (iii) youth with the inattentive vs. the hyperactive/impulsive (H/I) and combined presentations. We further examined the extent to which ERP variables (2) predict, in the ADHD subsample, substance use (i) concurrently and (ii) prospectively at 18-month follow-up.