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EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD

Classification Accuracy of Neuroimaging Biomarkers in Attention-Deficit/Hyperactivity Disorder: Effects of Sample Size and Circular Analysis.

Deep learning model reveals potential risk genes for ADHD, especially Ephrin receptor gene EPHA5.

Deep Spatio-Temporal Representation and Ensemble Classification for Attention Deficit/Hyperactivity Disorder

Effects of spectral features of EEG signals recorded with different channels and recording statuses on ADHD classification with deep learning.

fMRI Feature Extraction Model for ADHD Classification Using Convolutional Neural Network

ADHD and the power of generalization: exploring the faces of reification

Identifying ADHD Individuals From Resting-State Functional Connectivity Using Subspace Clustering and Binary Hypothesis Testing.

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Adhd Classification ADHD分类

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