Brain connectome differences between attention deficit hyperactivity disorder (ADHD) and neurotypical children during visual attention: A study using a minimum spanning tree graph, multichannel EEG recording and machine learning

The results of this study indicated that MST graph features were ideal candidates for investigating underlying mechanisms of ADHD.

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Publication Details

Journal
Applied Neuropsychology Child
Published
2025-08-08
DOI
https://doi.org/10.1080/21622965.2025.2533335
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
0.00
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article

Brain connectome differences between attention deficit hyperactivity disorder (ADHD) and neurotypical children during visual attention: A study using a minimum spanning tree graph, multichannel EEG recording and machine learning

Sajjad Farashi, Samaneh Safari, Afshin Fayyazi
1 links
Applied Neuropsychology Child
Attention Deficit Hyperactivity Disorder
article

Brain connectome differences between attention deficit hyperactivity disorder (ADHD) and neurotypical children during visual attention: A study using a minimum spanning tree graph, multichannel EEG recording and machine learning

Sajjad Farashi, Samaneh Safari, Afshin Fayyazi
article en

Abstract

The results of this study indicated that MST graph features were ideal candidates for investigating underlying mechanisms of ADHD.

Applied Neuropsychology Child
Hamedan University of Medical Sciences (IR)
Reduced inequalities
Openalex Percentile: Top 76%
Attention Deficit Hyperactivity Disorder
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