<p>Differentiating Boys with ADHD from Those with Typical Development Based on Whole-Brain Functional Connections Using a Machine Learning Approach</p>

Volume: Volume 16, Pages: 691 - 702
Published: Mar 1, 2020
Abstract
In recent years, machine learning techniques have received increasing attention as a promising approach to differentiating patients from healthy subjects. Therefore, some resting-state functional magnetic resonance neuroimaging (R-fMRI) studies have used interregional functional connections as discriminative features. The aim of this study was to investigate ADHD-related spatially distributed discriminative features derived from whole-brain...
Paper Details
Title
<p>Differentiating Boys with ADHD from Those with Typical Development Based on Whole-Brain Functional Connections Using a Machine Learning Approach</p>
Published Date
Mar 1, 2020
Volume
Volume 16
Pages
691 - 702
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