Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Attention-Deficit/Hyperactivity Disorder

Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Item exposure control for multidimensional computer adaptive testing under maximum likelihood and expected a posteriori estimation.

Behavior research methods·2015

Same author

[Electric-heat needling for 56 cases of cervical spondylosis with the neck type].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion·2015

Same author

[Effects of GLP-1 Agonist Exenatide on Cardiac Diastolic Function and Vascular Endothelial Function in Diabetic Patients].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition·2015

Same author

Evaluation of The Cervista HPV A9 group In Screening Patients for Cervical Cancer.

Journal of medical screening·2015

Same author

Porous carbon derived from a metal-organic framework as an efficient adsorbent for the solid-phase extraction of phthalate esters.

Journal of separation science·2015

Same author

Cytochrome P450 Genetic Variants and Their Metabolite Levels Associated with Plaque Stability in Patients with Ischemic Stroke.

Journal of atherosclerosis and thrombosis·2015

Search research articles

Related Experiment Video

Updated: Dec 26, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

ADHD classification by dual subspace learning using resting-state functional connectivity.

Ying Chen¹, Yibin Tang², Chun Wang³

¹Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, China; Department of Psychiatry and Translational Imaging, Columbia University & NYSPI, USA.

Artificial Intelligence in Medicine

|March 8, 2020

Summary

This study introduces a new dual subspace classification algorithm for identifying Attention Deficit Hyperactivity Disorder (ADHD) using functional connectivity. The novel framework achieves high accuracy, improving ADHD diagnosis.

Keywords:

ADHD Feature selection Graph Laplacian Graph embedding SVM-RFE Subspace learning

More Related Videos

Revised and Neuroimaging-Compatible Versions of the Dual Task Screen

Revised and Neuroimaging-Compatible Versions of the Dual Task Screen

Published on: October 5, 2020

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Published on: March 12, 2020

Related Experiment Videos

Last Updated: Dec 26, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Revised and Neuroimaging-Compatible Versions of the Dual Task Screen

Revised and Neuroimaging-Compatible Versions of the Dual Task Screen

Published on: October 5, 2020

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Published on: March 12, 2020

Area of Science:

Neuroscience
Medical Imaging
Machine Learning

Background:

Attention Deficit Hyperactivity Disorder (ADHD) is a common neurobehavioral disorder in children.
Accurate identification of ADHD patients remains a significant challenge.

Purpose of the Study:

To develop an effective algorithm for accurate ADHD identification using resting-state functional connectivity (FC).
To enhance the stability and efficiency of dual subspace classification for ADHD diagnosis.

Main Methods:

A dual subspace classification algorithm was proposed, learning separate subspaces for ADHD and healthy control features.
A modified graph embedding measure enhanced intra-class relationships.
A binary hypothesis testing framework was introduced to improve dual subspace stability by selecting discriminative FCs.

Main Results:

The proposed method achieved approximately 90% accuracy on the ADHD-200 dataset using leave-one-out cross-validation.
Demonstrated significant performance improvement compared to existing machine learning and deep learning methods.

Conclusions:

The novel ADHD classification framework based on binary hypothesis testing and dual subspace learning offers a promising approach for accurate ADHD diagnosis.
The method shows high potential for clinical application in identifying ADHD.