Advancing Mild Cognitive Impairment Detection: Integrating VR, MRI, and Neuropsychological Insights for Comprehensive Diagnosis DOI
Bogyeom Park, Jinseok Park, Hojin Choi

et al.

Published: July 2, 2024

Language: Английский

A Review of Recent Advances in Cognitive-Motor Dual-Tasking for Parkinson’s Disease Rehabilitation DOI Creative Commons
Xiaohui Tan, Kai Wang, Wei Sun

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(19), P. 6353 - 6353

Published: Sept. 30, 2024

Background: Parkinson’s disease is primarily characterized by the degeneration of motor neurons, leading to significant impairments in movement. Initially, physical therapy was predominantly employed address these issues through targeted rehabilitation exercises. However, recent research has indicated that cognitive training can enhance quality life for patients with Parkinson’s. Consequently, some researchers have posited simultaneous engagement computer-assisted and dual-task (CADT) may yield superior therapeutic outcomes. Methods: A comprehensive literature search performed across various databases, studies were selected following PRISMA guidelines, focusing on CADT interventions. Results: Dual-task enhances (PD) automating movements minimizing secondary task interference. The inclusion a sensor system provides real-time feedback help make immediate adjustments during training. Furthermore, promotes more vigorous participation commitment exercises, especially those are repetitive lead patient boredom demotivation. Virtual reality-tailored tasks, closely mirroring everyday challenges, facilitate efficient adaptation post-rehabilitation. Conclusions: Although current limited small sample sizes low levels, presents as significant, effective, potential strategy PD.

Language: Английский

Citations

5

Using Virtual Reality to Improve Outcomes Related to Quality of Life Among Older Adults With Serious Illnesses: Systematic Review of Randomized Controlled Trials DOI Creative Commons
Bhagvat Maheta,

Alexandra Kraft,

Nickolas Interrante

et al.

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e54452 - e54452

Published: Feb. 26, 2025

Background Virtual reality (VR) has promise as an innovative nonpharmacologic treatment for improving a patient’s quality of life. VR can be used adjunct or many acute and chronic conditions, including serious illnesses. Objective This systematic review aims to assess the current state literature randomized controlled trials that use in patients with Two secondary include assessing intervention components associated improved life functional outcomes among older adults, well evaluating how adhere consensus standards research. Methods We searched PubMed, Embase, CINAHL studies published at any time. screened accepted reported related patients’ life, provided immersive intervention, included illness. narratively summarized key attributes publications shed light on study efficacy, generalizability, replicability, clinical utility. All were assessed Cochrane Risk Bias tool concordance 8 recent Results From 12,621 articles May 2024, total 24 (0.19%) met inclusion criteria, these, 88% (21/24) improvement least 1 patient outcome 67% (16/24) had high risk bias. In 7 (n=24, 29%) studies, was provide distraction therapy reduce pain. total, 5 21%) training, supervision, assistance use, which demonstrated improvements life–related outcomes. Of 9 (38%) stroke, cancer, 4 (17%) cardiovascular disease, (4%) obstructive pulmonary who pain hospital. all main purpose improve mobility strength; these higher frequency longer durations ranging from 2 weeks, compared duration <2 weeks aiming anxiety. Regarding research, 29% (7/24) adhered (24/24, 100%) ≥5 criteria. Conclusions Nascent evidence suggests VR’s potential mitigating pain, anxiety, depression persons Most did not detailed information about unassisted assisted suggesting adults is currently most appropriate observed settings available. Trial Registration PROSPERO CRD42022346178; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=346178

Language: Английский

Citations

0

CLONE: Synthetic Guideline-based Clinical Reasoning with Large Language Models for Early Diagnosis of Mild Cognitive Impairment DOI
Seungeon Cha, Jinseok Park, Hojin Choi

et al.

Published: April 23, 2025

Language: Английский

Citations

0

Beyond Missing Data: A Multimodal Approach Using VR-EEG-MRI (VEEM) Biomarkers for Detecting MCI DOI
Yuwon Kim

Published: April 23, 2025

Language: Английский

Citations

0

Decoding Behavior: Utilizing Virtual Reality Digital Marker and Machine Learning for Early Detection of Mild Cognitive Impairment DOI Open Access
Yuwon Kim, Jinseok Park, Hojin Choi

et al.

Published: May 11, 2024

The imperative for early mild cognitive impairment (MCI) detection is underscored by the limitations of traditional biomarkers, high cost and invasiveness, they often fail to capture behavioral changes in MCI patients associated with impaired instrumental activities daily living (IADL). This study introduces a cost-effective, non-invasive alternative using digital markers, "virtual kiosk test", which involves performing IADL tasks such as ordering food via virtual reality (VR) detect at an stage. Involving 20 healthy controls 31 patients, four key features within VR markers effectively differentiate groups: hand movement speed, proportion fixation duration, time completion, number errors. A machine learning model demonstrated effectiveness 93.3% accuracy, 100% sensitivity, 83.3% specificity, 90% precision, 94.7% F1-score group differentiation. Findings suggest that observing behaviors test 5 minutes can be efficient approach detection, acting reliable markers.

Language: Английский

Citations

1

Early Detection of Patients with Mild Cognitive Impairment through EEG-SSVEP-based Machine Learning Model DOI Creative Commons

Dohyun Kim,

Jinseok Park, Hojin Choi

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 172101 - 172114

Published: Jan. 1, 2024

Language: Английский

Citations

1

Exploring the Relationship between Behavioral and Neurological Impairments Due to Mild Cognitive Impairment: Correlation Study between Virtual Kiosk Test and EEG-SSVEP DOI Creative Commons

Dohyun Kim,

Yuwon Kim, Jinseok Park

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(11), P. 3543 - 3543

Published: May 30, 2024

Amnestic mild cognitive impairment (aMCI) is a transitional stage between normal aging and Alzheimer’s disease, making early screening imperative for potential intervention prevention of progression to disease (AD). Therefore, there demand research identify effective easy-to-use tools aMCI screening. While behavioral tests in virtual reality environments have successfully captured features related instrumental activities daily living screening, further investigations are necessary establish connections decline neurological changes. Utilizing electroencephalography with steady-state visual evoked potentials, this study delved into the correlation recorded during obtained by measuring neural activity dorsal stream. As result, multimodal approach achieved an impressive accuracy 98.38%.

Language: Английский

Citations

0

Advancing Mild Cognitive Impairment Detection: Integrating VR, MRI, and Neuropsychological Insights for Comprehensive Diagnosis DOI
Bogyeom Park, Jinseok Park, Hojin Choi

et al.

Published: July 2, 2024

Language: Английский

Citations

0