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The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study

The Rapid Online Cognitive Assessment (Ro CA) is a DCA that aims to address these limitations. To stay consistent with well-validated methods, it reproduces the screening results of gold-standard paper-based tests: Addenbrooke’s Cognitive Examination-3 (ACE-3) and the Montreal Cognitive Assessment (Mo CA) [28-31]. Patient input directly guided its design to ensure accessibility, resulting in a short touchscreen-based drawing battery with automated convolutional neural network–based scoring [32,33].

Calvin Howard, Amy Johnson, Joseph Peedicail, Marcus C Ng

J Med Internet Res 2025;27:e66735

Effectiveness of Digital Behavioral Activation Interventions for Depression and Anxiety: Systematic Review and Meta-Analysis

Effectiveness of Digital Behavioral Activation Interventions for Depression and Anxiety: Systematic Review and Meta-Analysis

Various psychotherapeutic treatments help alleviate symptoms of depression and anxiety, including psychosocial education, mindfulness, and cognitive behavioral therapy (CBT) [10]. CBT is a widely used and effective behavioral treatment shown to reduce depression symptoms and anxiety [11-13]. CBT is a structured, goal-oriented talk therapy that helps individuals recognize how their beliefs may influence their actions, unlearn negative thoughts, and replace them with healthier thinking patterns and habits.

Eric Jia, Jushawn Macon, Michelle Doering, Joanna Abraham

J Med Internet Res 2025;27:e68054

Effectiveness of Telemedicine Interventions on Motor and Nonmotor Outcomes in Parkinson Disease: Systematic Review and Network Meta-Analysis

Effectiveness of Telemedicine Interventions on Motor and Nonmotor Outcomes in Parkinson Disease: Systematic Review and Network Meta-Analysis

Furthermore, 4 studies involving 266 participants assessed cognitive level. Section S5.3 in Multimedia Appendix 2 presents the direct comparisons and sample size distribution among telemedicine types for the cognitive level. The network meta-analysis revealed that only e-Cognitive (SMD=1.09, 95% Cr I 0.18-2.00) significantly improved cognitive level compared to UC.

Jiejie Dou, Junyu Wang, Xianqi Gao, Guotuan Wang, Ying Bai, Yixin Liang, Kunyi Yang, Yong Yang, Lin Zhang

J Med Internet Res 2025;27:e71169

Impact of Tai Chi Therapy on Fatigue and Cognitive Function in Individuals With Chronic Fatigue Syndrome: Protocol for a Pilot Randomized Controlled Trial

Impact of Tai Chi Therapy on Fatigue and Cognitive Function in Individuals With Chronic Fatigue Syndrome: Protocol for a Pilot Randomized Controlled Trial

These symptoms affect cognitive functions—such as attention and memory—to varying degrees. Cognitive impairment is the most common symptom among patients with CFS and has the greatest impact on daily functioning and learning abilities [7]. In 2021, the UK’s National Institute for Health and Clinical Excellence (NICE) included cognitive impairment (brain fog) as 1 of the 4 core symptoms of CFS.

Bin Wang, Xiaodong Zhang, Ping Lu, Pingping Sun, Tianxiang He

JMIR Res Protoc 2025;14:e65958

Association of Virtual Nurses’ Workflow and Cognitive Fatigue During Inpatient Encounters: Cross-Sectional Study

Association of Virtual Nurses’ Workflow and Cognitive Fatigue During Inpatient Encounters: Cross-Sectional Study

Pupillometry data, which measures the change in pupil size, measures cognitive fatigue [17]. This study examined the association between using virtual nursing and virtual nurse fatigue using eye-tracking technology. Eye-tracking technology provides real-time insights into cognitive workload and cognitive fatigue by recording eye movements during different states and activities.

Saif Khairat, Jennifer Morelli, Wan-Ting Liao, Julia Aucoin, Barbara S Edson, Cheryl B Jones

JMIR Hum Factors 2025;12:e67111

Transdiagnostic Compulsivity Traits in Problematic Use of the Internet Among UK Residents: Cross-Sectional Network Analysis Study

Transdiagnostic Compulsivity Traits in Problematic Use of the Internet Among UK Residents: Cross-Sectional Network Analysis Study

We identified several strong mechanistic pathways, notably the edge between cognitive rigidity and coping and the edge between reward drive and functional impairment (ie, negative financial consequences). Finally, reward drive and cognitive rigidity were identified as the bridge nodes. When elucidating interrelationships between compulsivity dimensions and PUI symptoms, we found that cognitive rigidity was associated with coping-motivated internet use.

Chang Liu, Samuel Chamberlain, Konstantinos Ioannidis, Jeggan Tiego, Jon Grant, Murat Yücel, Peter Hellyer, Christine Lochner, Adam Hampshire, Lucy Albertella

J Med Internet Res 2025;27:e66191

Effectiveness of General Practitioner Referral Versus Self-Referral Pathways to Guided Internet-Delivered Cognitive Behavioral Therapy for Depression, Panic Disorder, and Social Anxiety Disorder: Naturalistic Study

Effectiveness of General Practitioner Referral Versus Self-Referral Pathways to Guided Internet-Delivered Cognitive Behavioral Therapy for Depression, Panic Disorder, and Social Anxiety Disorder: Naturalistic Study

Cognitive behavioral therapy (CBT) is the psychological treatment with the strongest empirical support [11] and it is the recommended first-line treatment for these disorders [12,13]. Internet-delivered cognitive behavioral therapy (ICBT) delivers evidence-based CBT specifically targeting, but not limited to, depression and anxiety disorders [14].

Jill Bjarke, Rolf Gjestad, Tine Nordgreen

JMIR Ment Health 2025;12:e68165

Digital Assessment of Cognitive Health in Outpatient Primary Care: Usability Study

Digital Assessment of Cognitive Health in Outpatient Primary Care: Usability Study

Dementia is a neurodegenerative disorder characterized by progressive deficits in one or more cognitive domains severe enough to interfere with an individual’s functional status [1]. Mild cognitive impairment (MCI) is a precursor of dementia, characterized by more subtle cognitive deficits that do not interfere with functional status [1]. Although definitional variability and reporting bias complicate the estimation of prevalence [2], MCI likely afflicts 12% to 18% of people aged 60 years and older [3,4].

Adam J Doerr, Taylor A Orwig, Matthew McNulty, Stephanie Denise M Sison, David R Paquette, Robert Leung, Huitong Ding, Stephen B Erban, Bruce R Weinstein, Yurima Guilarte-Walker, Adrian H Zai, Allan J Walkey, Apurv Soni, David D McManus, Honghuang Lin

JMIR Form Res 2025;9:e66695

Machine Learning Analysis of Engagement Behaviors in Older Adults With Dementia Playing Mobile Games: Exploratory Study

Machine Learning Analysis of Engagement Behaviors in Older Adults With Dementia Playing Mobile Games: Exploratory Study

Cognitive impairments, such as dementia, are typically assessed and monitored by health care professionals during routine clinical examinations or when an older adult or their family members identify symptoms of cognitive decline and seek assistance [3]. Limitations of current screening have spurred research into the development of alternative, more naturalistic methods to monitor for cognitive decline.

Melika Torabgar, Mathieu Figeys, Shaniff Esmail, Eleni Stroulia, Adriana M Ríos Rincón

JMIR Serious Games 2025;13:e54797

Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability Study

While previous research has made significant strides in the earlier detection of cognitive decline using EHR, most studies have focused on extracting symptoms or cognitive measurement scores rather than other clinical features that affect disease progression, such as the relationship of the primary caregivers with patients.

Hunki Paek, Richard H Fortinsky, Kyeryoung Lee, Liang-Chin Huang, Yazeed S Maghaydah, George A Kuchel, Xiaoyan Wang

JMIR Aging 2025;8:e65221