Detecting ADHD Based on Brain Functional Connectivity Using Resting-State MEG Signals

Detecting ADHD Based on Brain Functional Connectivity Using Resting-State MEG Signals

Purpose: Attention Deficit Hyperactivity Disorder (ADHD) is now recognized as the most common childhood behavioral disorder. This disorder causes school problems and social incompatibility. Thus an accurate diagnosis can help diminish such problems. In this paper, we propose a brain connectomics ap...

Full description

Bibliographic Details
Main Authors: Nastaran Hamedi, Ali Khadem, Mehdi Delrobaei, Abbas Babajani-Feremi
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2022-03-01
Series:Frontiers in Biomedical Technologies
Subjects:
Attention Deficit Hyperactivity Disorder
Resting-state Magnetoencephalography
Functional Connectivity
Coherence
Neighborhood Component Analysis
Machine Learning
Online Access:https://fbt.tums.ac.ir/index.php/fbt/article/view/380

Internet

https://fbt.tums.ac.ir/index.php/fbt/article/view/380

Similar Items