Attention Deficit Hyperactivity Disorder identification: FMRI data analyzed with CNN and seed-based approach

Attention Deficit Hyperactivity Disorder identification: FMRI data analyzed with CNN and seed-based approach

Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent mental disorder affecting both adults and children, frequently leading to academic difficulties. This study aims to improve the diagnosis of ADHD in children by using resting-state Functional Magnetic Resonance Imaging (fMRI) data. The m...

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Bibliographic Details
Main Authors: Anika Siamin Oyshi, Mohammad Hasan, Md. Khabir Uddin Ahamed, Md. Sydur Rahman, Md. Mahfuzul Haque, Mahmudul Alam
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Brain Disorders
Subjects:
Attention Deficit Hyperactivity Disorder (ADHD)
Functional Magnetic Resonance Imaging (fMRI)
Default Mode Network (DMN)
Seed-based correlation technique
Convolutional Neural Network (CNN)
Independent Component Analysis (ICA)
Online Access:http://www.sciencedirect.com/science/article/pii/S2666459325000186
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