Digital Cognitive Tests for Dementia Screening:  A Systematic Review

Amanzadeh, Masoud; Hamedan, Mahnaz; Mahdavi, Abdollah; Mohammadnia, Alireza

doi:10.21203/rs.3.rs-2275675/v1

Cited by 2 publications

(3 citation statements)

References 59 publications

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“…Generally, in order to monitor disease progression in different domains each patient is examined with several tests and on a regular basis, so their times add up and become large in the long run. An approach to diminish the administration, scoring, interpretation, and documentation times of neuropsychological tests is the usage of computerized or digital cognitive tests [86]. In that recent systematic review those authors found out that almost 60% were mobile-based screening tests; near 3 out of 10, desktop-based; and the rest, web-based.…”

Section: Non-neuroimaging Biomarkers and Diagnosis Criteria In Admentioning

confidence: 99%

See 1 more Smart Citation

Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer’s Disease Not Using Neuroimaging Biomarkers: A Systematic Review

Cabrera-León,

Báez,

Fernández-López

et al. 2024

Journal of Alzheimer’s Disease

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Background: The growing number of older adults in recent decades has led to more prevalent geriatric diseases, such as strokes and dementia. Therefore, Alzheimer’s disease (AD), as the most common type of dementia, has become more frequent too. Background: Objective: The goals of this work are to present state-of-the-art studies focused on the automatic diagnosis and prognosis of AD and its early stages, mainly mild cognitive impairment, and predicting how the research on this topic may change in the future. Methods: Articles found in the existing literature needed to fulfill several selection criteria. Among others, their classification methods were based on artificial neural networks (ANNs), including deep learning, and data not from brain signals or neuroimaging techniques were used. Considering our selection criteria, 42 articles published in the last decade were finally selected. Results: The most medically significant results are shown. Similar quantities of articles based on shallow and deep ANNs were found. Recurrent neural networks and transformers were common with speech or in longitudinal studies. Convolutional neural networks (CNNs) were popular with gait or combined with others in modular approaches. Above one third of the cross-sectional studies utilized multimodal data. Non-public datasets were frequently used in cross-sectional studies, whereas the opposite in longitudinal ones. The most popular databases were indicated, which will be helpful for future researchers in this field. Conclusions: The introduction of CNNs in the last decade and their superb results with neuroimaging data did not negatively affect the usage of other modalities. In fact, new ones emerged.

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Section: Non-neuroimaging Biomarkers and Diagnosis Criteria In Admentioning

confidence: 99%

“…Additionally, these digital versions ease remote and self-administration. However, due to the different way the neuropsychological test is conducted, results for the paper and digital versions of the same test may differ [86].…”

Section: Non-neuroimaging Biomarkers and Diagnosis Criteria In Admentioning

confidence: 99%

Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer’s Disease Not Using Neuroimaging Biomarkers: A Systematic Review

Cabrera-León,

Báez,

Fernández-López

et al. 2024

Journal of Alzheimer’s Disease

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“…Besides these classical evaluations, numerous authors have developed new screening tools on numerical tablets that show good correlations with usual tests. Although several recent systematic reviews have been published [7][8][9], only one meta-analysis with good results focused on digital drawing tasks [10]. In all these studies, numerical tests could run either on numerical tablets or simple computer touch screens and were self or hetero-administered.…”

Section: Introductionmentioning

confidence: 99%

Design of a New Digital Cognitive Screening Tool on Tablet: AlzVR Project

Maronnat,

Loup,

Degand

et al. 2024

Preprint

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Introduction: Alzheimer's disease (AD) is the first cause of dementia worldwide without any current curative treatment. Facing an increasing prevalence and its associated costs, AD represents a public health challenge. Usual diagnostic methods still rely on extended interviews and paper tests provided by an exterior examiner. We aim to create a novel, quick cognitive-screening tool on a numerical tablet. Methods: This program, built and edited with Unity®, runs on Android® for the Samsung Galaxy Tab S7 FE®. Composed of seven tasks inspired by the Mini-Mental Status Examination and the Montréal Cognitive Assessment, it browses several cognitive functions. The architectural design of this tablet application is distinguished by its multifaceted capabilities, encompassing not only seamless offline functionality but also a mechanism to ensure the singularity of data amalgamated from diverse sites. Additionally, a paramount emphasis is placed on safeguarding the confidentiality of patient information in the healthcare domain. Furthermore, the application empowers individual site managers to access and peruse specific datasets, enhancing their operational efficacy and decision-making processes. We performed a preliminary usability assessment among healthy subjects. Results: 24 healthy patients were included with a final F-SUS score of "excellent". Participants perceived the tool as simple to use and achieved the test in a mean time of 142 seconds. No technical errors occurred. Conclusion: These preliminary results suggest that our new assessment on a numerical tablet allows a short cognitive screening.

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Digital Cognitive Tests for Dementia Screening: A Systematic Review

Cited by 2 publications

References 59 publications

Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer’s Disease Not Using Neuroimaging Biomarkers: A Systematic Review

Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer’s Disease Not Using Neuroimaging Biomarkers: A Systematic Review

Design of a New Digital Cognitive Screening Tool on Tablet: AlzVR Project

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