Potential of mobile technologies and applications in the detection of mild cognitive impairment among older generation groups

Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases

Neurodegenerative diseases (NDs) such as Alzheimer's Disease (AD) and Parkinson's Disease (PD) are devastating conditions that can develop without noticeable symptoms, causing irreversible damage to neurons before any signs become clinically evident. NDs are a major cause of disability and mortality worldwide. Currently, there are no cures or treatments to halt their progression. Therefore, the development of early detection methods is urgently needed to delay neuronal loss as soon as possible. Despite advancements in Medtech, the early diagnosis of NDs remains a challenge at the intersection of medical, IT, and regulatory fields. Thus, this review explores "digital biomarkers" (tools designed for remote neurocognitive data collection and AI analysis) as a potential solution. The review summarizes that recent studies combining AI with digital biomarkers suggest the possibility of identifying pre-symptomatic indicators of NDs. For instance, research utilizing convolutional neural networks for eye tracking has achieved significant diagnostic accuracies. ROC-AUC scores reached up to 0.88, indicating high model performance in differentiating between PD patients and healthy controls. Similarly, advancements in facial expression analysis through tools have demonstrated significant potential in detecting emotional changes in ND patients, with some models reaching an accuracy of 0.89 and a precision of 0.85. This review follows a structured approach to article selection, starting with a comprehensive database search and culminating in a rigorous quality assessment and meaning for NDs of the different methods. The process is visualized in 10 tables with 54 parameters describing different approaches and their consequences for understanding various mechanisms in ND changes. However, these methods also face challenges related to data accuracy and privacy concerns. To address these issues, this review proposes strategies that emphasize the need for rigorous validation and rapid integration into clinical practice. Such integration could transform ND diagnostics, making early detection tools more cost-effective and globally accessible. In conclusion, this review underscores the urgent need to incorporate validated digital health tools into mainstream medical practice. This integration could indicate a new era in the early diagnosis of neurodegenerative diseases, potentially altering the trajectory of these conditions for millions worldwide. Thus, by highlighting specific and statistically significant findings, this review demonstrates the current progress in this field and the potential impact of these advancements on the global management of NDs.

E-learning as valuable caregivers' support for people with dementia - A systematic review

Background

Present demographic trends show a considerable rise in elderly populations with aging disorders, such as dementia. The current article focused on the exploitation of e-learning as an informal support for caregivers of people with dementia and considered its benefits and limitations to provide proper and relevant care for this target group of people as well as maintain the quality of life of their caregivers.

Methods

The methodology of this study is based on a literature review of accessible peer-review articles from three recognized databases: Web of Science, Scopus, and PubMed. The findings of the selected studies were compared and evaluated.

Results

The findings showed that e-learning educational programs/courses helped caregivers feel more confident about dementia care, reduced their perceived stress and enhanced their feelings of empathy, understanding and concern.

Conclusions

The findings of this study reveal that the exploitation of e-learning as a support tool, especially for informal caregivers, in the management of dementia may be a promising method, but its implementation requires professional training of informal caregivers in the use of this technology. More evidence-based studies are needed on this topic.

Effectiveness of the dog therapy for patients with dementia - a systematic review

BACKGROUND

Dementia represents a mental and economic burden for both patients and their caregivers. Therefore, the aim of this study is to explore the effectiveness of animal assisted therapy (AAT) with special focus on canis therapy among people with dementia, specifically Alzheimer's disease.

METHODS

The key method of this review study is a systematic review of the research studies detected in the Web of Science, Scopus and PubMed. The search was conducted for the studies dating from 2016 till 31 August 2018 because several review studies were published before. Eventually, only six studies were involved into the final analysis.

RESULTS

The findings of this review, based on significant effect sizes, reveal that AAT may work as a beneficial and effective complementary treatment, especially in the area of behavioral and psychological symptoms, for patients with different degree of dementia severity if AAT is targeted at their specific needs and interests.

CONCLUSIONS

More research in the area of methodology for the implementation of AAT is necessary, and more research should be conducted with respect to the use of AAT for the improvement of cognitive functions in people with dementia.

Multidomain Lifestyle Intervention Strategies for the Delay of Cognitive Impairment in Healthy Aging

Present demographic changes demonstrate that the number of elderly people is growing at a frenetic pace. This shift in population consequently results in many social and economic problems, which burden the social and economic systems of countries. The aging process is associated with age-related diseases, the most common of which are dementia and Alzheimer’s disease, whose main symptom is a decline in cognitive function, especially memory loss. Unfortunately, it cannot be cured. Therefore, alternative approaches, which are cost-effective, safe, and easy to implement, are being sought in order to delay and prevent cognitive impairment. The purpose of this review was to explore the effect of multidomain lifestyle intervention strategies on the delay and/or prevention of cognitive impairment in healthy older individuals. The methods are based on a literature review of available sources found on the research topic in three acknowledged databases: Web of Science, Scopus, and PubMed. The results of the identified original studies reveal that multidomain lifestyle interventions generate significant effects. In addition, these interventions seem feasible, cost-effective, and engaging. Thus, there is a call for the implementation of effective lifestyle prevention programs, which would involve goal-setting and would focus on the prevention of crucial risk factors threatening the target group of elderly people, who are at risk of cognitive decline and dementia.