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

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
  6. Qi W, Zhu X, Wang B, Shi Y, Dong C, Shen S, Li J, Zhang K, He Y, Zhao M, Yao S, Dong Y, Shen H, Kang J, Lu X, Jiang G, Boots L, Fu H, Pan L, Chen H, Yan Z, Xing G, Cao S. Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review. npj Digital Medicine 2025;8(1) View
  7. Wu X, Yao X, Shi J, Tang M, Zhou Q, Chen K. Development and validation of a machine learning model for early screening of high-risk mild cognitive impairment from the multi-cohort data. International Journal of Medical Informatics 2025;203:106030 View
  8. Park J. Detection of mild cognitive impairment using a virtual reality-based stroop task: a cross-sectional study of embodied behavioral markers. Journal of NeuroEngineering and Rehabilitation 2025;22(1) View
  9. Guo H, Shen X, Lyu M, Zhou G, Chen C, Xing B, Xie Y. Research progress of multimodal biomarkers in the early diagnosis of mild cognitive impairment in Parkinson’s disease. Frontiers in Neurology 2025;16 View
  10. Li H, Yang G, Su Z, Xu B, Hu B, He L. Cognitive assessment in neurodegenerative diseases: A review of interactive methods. Information Fusion 2026;127:103836 View
  11. Gausemel Å, Filkuková P. Innovations in dementia screening: a systematic review and meta-analysis of virtual reality assessments. Frontiers in Psychology 2025;16 View

Books/Policy Documents

  1. de Paula Vidigal G, Dias E, Weingartner J, de Mello Monteiro C. Social and Affective Neuroscience of Gaming. 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