Classifying Children with ADHD Based on Prefrontal Functional Near-infrared Spectroscopy Using Machine Learning.

Chan-Mo Yang Jaeyoung Shin Johanna-Inhyang Kim You Bin Lim So Hyun Park Boong-Nyun Kim

Published in: Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology (2023)

: RLDA using only fNIRS data can effectively discriminate children with ADHD from HC. This study suggests the potential utility of the fNIRS signal as a diagnostic biomarker for ADHD children.

Keyphrases

attention deficit hyperactivity disorder
working memory
young adults
autism spectrum disorder
machine learning
big data
deep learning