This paper is in the following e-collection/theme issue:

Extended Reality, Virtual Reality and Virtual Worlds (666) Dementia and Cognitive Decline (592) New Methods (1030) Games for Cognitive Assessment (72) Games and Gamification for Health (709) Neurotech Innovations, Diagnostic Tools and Techniques (44) Digital Biomarkers and Digital Phenotyping (230) Clinical Integration of XR and Spatial Computing (47) XR for Assessment and Diagnosis (10) Machine Learning (1742) Artificial Intelligence (1747) Decision Support for Health Professionals (1342) Computer-Aided Diagnosis (184)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54538, first published .
Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study

Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study

Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study

Authors of this article:

Bogyeom Park1 Author Orcid Image ;   Yuwon Kim1 Author Orcid Image ;   Jinseok Park2 Author Orcid Image ;   Hojin Choi2 Author Orcid Image ;   Seong-Eun Kim1 Author Orcid Image ;   Hokyoung Ryu3 Author Orcid Image ;   Kyoungwon Seo1 Author Orcid Image
Article Authors Cited by (9) Tweetations (6) Metrics

Journals

  1. Kim D, Kim Y, Park J, Choi H, Ryu H, Loeser M, Seo K. Exploring the Relationship between Behavioral and Neurological Impairments Due to Mild Cognitive Impairment: Correlation Study between Virtual Kiosk Test and EEG-SSVEP. Sensors 2024;24(11):3543 View
  2. Tan X, Wang K, Sun W, Li X, Wang W, Tian F. A Review of Recent Advances in Cognitive-Motor Dual-Tasking for Parkinson’s Disease Rehabilitation. Sensors 2024;24(19):6353 View
  3. Kim D, Park J, Choi H, Ryu H, Loeser M, Seo K. Early Detection of Patients With Mild Cognitive Impairment Through EEG-SSVEP-Based Machine Learning Model. IEEE Access 2024;12:172101 View
  4. Wu G, Li X, Xu Y, Wei B. Multimodal multiview bilinear graph convolutional network for mild cognitive impairment diagnosis. Biomedical Physics & Engineering Express 2025;11(2):025011 View
  5. Maheta B, Kraft A, Interrante N, Fereydooni S, Bailenson J, Beams B, Keny ​, Osborne T, Giannitrapani K, Lorenz K. Using Virtual Reality to Improve Outcomes Related to Quality of Life Among Older Adults With Serious Illnesses: Systematic Review of Randomized Controlled Trials. Journal of Medical Internet Research 2025;27:e54452 View

Conference Proceedings

  1. Kim Y, Park J, Choi H, Loeser M, Ryu H, Seo K. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Decoding Behavior: Utilizing Virtual Reality Digital Marker and Machine Learning for Early Detection of Mild Cognitive Impairment View
  2. Park B, Park J, Choi H, Ryu H, Seo K. 2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC). Advancing Mild Cognitive Impairment Detection: Integrating VR, MRI, and Neuropsychological Insights for Comprehensive Diagnosis View
  3. Cha S, Park J, Choi H, Ryu H, Seo K. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. CLONE: Synthetic Guideline-based Clinical Reasoning with Large Language Models for Early Diagnosis of Mild Cognitive Impairment View
  4. Kim Y. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Beyond Missing Data: A Multimodal Approach Using VR-EEG-MRI (VEEM) Biomarkers for Detecting MCI View