Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Association between steatotic liver disease subtype and thyroid cancer in women: A nationwide population-based cohort study.

Frontiers in endocrinology·2026
Same author

AVATA Cure Digital Therapeutics for Social Communication in Children With Autism Spectrum Disorder: A Pilot Clinical Trial.

Psychiatry investigation·2026
Same author

Clinical implication of the 2025 ATA risk stratification in follicular thyroid carcinoma: A comparison with the 2015 ATA risk stratification.

Oral oncology·2026
Same author

Fixed-Bed Column Performance of Poly-GMA-Glucamine for Boron Recovery in Seawater Reverse Osmosis: Breakthrough Analysis and Scale-Up Design Parameters.

Water environment research : a research publication of the Water Environment Federation·2025
Same author

Effects of space allowance during gestation and socialization training during growing period on the productivity and welfare of primiparous sows.

Journal of animal science and technology·2025
Same author

Clinical Utility of Liquid Chromatography-Tandem Mass Spectrometry for Thyroglobulin Measurement in Comparison with Immunoradiometric Assay and Chemiluminescence Microparticle Immunoassay.

Endocrinology and metabolism (Seoul, Korea)·2025
Same journal

Anterior Cingulate Cortex Mediates State-Dependent Prioritization of Distressed Conspecifics.

Brain sciences·2026
Same journal

Hemispherotomy for Pediatric Post-Traumatic Epilepsy.

Brain sciences·2026
Same journal

When Robots Learn: Artificial Intelligence and the Next Human-Centered Era of Neurorehabilitation.

Brain sciences·2026
Same journal

The Association Between Changes in White Matter Microstructure and Cognitive Function in Older Adults with Mild Cognitive Impairment.

Brain sciences·2026
Same journal

Beyond Ventricular Enlargement: Multimodal MRI Assessment Improves Surgical Decision-Making in Normal Pressure Hydrocephalus.

Brain sciences·2026
Same journal

The Effects of Personalized Observation, Execution, and Mental Imagery (POEM) Therapy in Logopenic Primary Progressive Aphasia: A Telepractice-Based Single-Case Study.

Brain sciences·2026
See all related articles

Related Experiment Video

Updated: May 28, 2026

Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection
07:04

Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection

Published on: March 10, 2021

Data-Driven Neurocognitive Clustering Predicts Virtual Reality Task Performance in Children: A Pilot Study.

Yumi Ju1, Jihye Kim2, Sura Kang3

  • 1Division of Occupational Therapy, Graduate School of Professional Therapy, Gachon University, Seongnam 13120, Republic of Korea.

Brain Sciences
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces function-based subtypes for children with developmental disabilities, outperforming traditional diagnoses in predicting task performance. This approach aids in personalized educational support.

Keywords:
CANTABdata-driven clusteringdevelopmental disabilityneurocognitive phenotypetheta/beta ratio (TBR)virtual reality

More Related Videos

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality
08:45

Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality

Published on: April 5, 2018

Related Experiment Videos

Last Updated: May 28, 2026

Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection
07:04

Virtual Reality Tools for Assessing Unilateral Spatial Neglect: A Novel Opportunity for Data Collection

Published on: March 10, 2021

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality
08:45

Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality

Published on: April 5, 2018

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Educational Psychology

Background:

  • Traditional diagnosis-based classifications inadequately address neurocognitive variability in children with developmental disabilities (DD).
  • Function-based subtyping is crucial for creating individualized educational plans beyond simple diagnostic labels.

Purpose of the Study:

  • To identify functional subtypes in children using a data-driven approach.
  • To evaluate the ecological validity of identified subtypes.
  • To compare the effectiveness of function-based subtypes versus diagnosis-based classifications in explaining task performance.

Main Methods:

  • A pilot study involving 18 school-aged children (8 typically developing, 10 with DD).
  • Integration of neurophysiological (EEG-derived theta/beta ratio - TBR) and cognitive (CANTAB Multitasking Test - MTT) data.
  • Data-driven K-means clustering to identify functional subtypes.
  • Ecological validity assessed using the Virtual Kitchen Errand Task for Children (VKET-C).

Main Results:

  • Three distinct functional subtypes were identified, not aligned with diagnostic boundaries.
  • Cluster 1: High accuracy, short latency. Cluster 2: Slow but accurate. Cluster 3: Fast but error-prone, with higher TBR, indicating cognitive impulsivity.
  • Identified clusters significantly predicted commission errors in the VKET-C task, demonstrating superior explanatory power over diagnosis-based groups.

Conclusions:

  • Function-based cluster classification offers a more nuanced understanding of neurocognitive performance than traditional diagnostic labels.
  • Deep phenotyping integrating diagnosis with neurocognitive data can inform individualized interventions and educational strategies for children.
  • This approach enhances the ability to differentiate performance, particularly errors, in ecologically valid tasks.