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  • 1
    In: Frontiers in Digital Health, Frontiers Media SA, Vol. 4 ( 2022-11-8)
    Abstract: Mobile app-based tools have the potential to yield rapid, cost-effective, and sensitive measures for detecting dementia-related cognitive impairment in clinical and research settings. At the same time, there is a substantial need to validate these tools in real-life settings. The primary aim of this study was thus to evaluate the feasibility, validity, and reliability of mobile app-based tasks for assessing cognitive function in a population-based sample of older adults. Method A total of 172 non-demented (Clinical Dementia Rating 0 and 0.5) older participants (aged 76–77) completed two mobile app-based memory tasks—the Mnemonic Discrimination Task for Objects and Scenes (MDT-OS) and the long-term (24 h) delayed Object-In-Room Recall Task (ORR-LDR). To determine the validity of the tasks for measuring relevant cognitive functions in this population, we assessed relationships with conventional cognitive tests. In addition, psychometric properties, including test-retest reliability, and the participants’ self-rated experience with mobile app-based cognitive tasks were assessed. Result MDT-OS and ORR-LDR were weakly-to-moderately correlated with the Preclinical Alzheimer's Cognitive Composite (PACC5) ( r  = 0.3–0.44, p   & lt; .001) and with several other measures of episodic memory, processing speed, and executive function. Test-retest reliability was poor–to-moderate for one single session but improved to moderate–to-good when using the average of two sessions. We observed no significant floor or ceiling effects nor effects of education or gender on task performance. Contextual factors such as distractions and screen size did not significantly affect task performance. Most participants deemed the tasks interesting, but many rated them as highly challenging. While several participants reported distractions during tasks, most could concentrate well. However, there were difficulties in completing delayed recall tasks on time in this unsupervised and remote setting. Conclusion Our study proves the feasibility of mobile app-based cognitive assessments in a community sample of older adults, demonstrating its validity in relation to conventional cognitive measures and its reliability for repeated measurements over time. To further strengthen study adherence, future studies should implement additional measures to improve task completion on time.
    Type of Medium: Online Resource
    ISSN: 2673-253X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 3017798-4
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  • 2
    In: Neuropsychologia, Elsevier BV, Vol. 189 ( 2023-10), p. 108679-
    Type of Medium: Online Resource
    ISSN: 0028-3932
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1500656-6
    SSG: 5,2
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  • 3
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S7 ( 2022-12)
    Abstract: Remote and unsupervised cognitive testing using smartphones may improve sensitivity to detect preclinical Alzheimer’s disease (AD). In particular, cognitive testing at‐home enables the evaluation of the potentially more sensitive long‐term delayed memory retrieval, which is commonly not feasible in a clinical setting. Method Here, we investigated the association between remote and unsupervised smartphone‐based cognitive assessments and in‐clinic cognitive measurement in older participants (CDR = 0, MMSE = 29.2, age = 77). The sample (non‐demented at age 70) was derived from the Swedish population‐based Gothenburg H70 Birth Cohort Studies. In a subsample of participants, the retrospective correlation with cerebrospinal fluid (CSF) biomarkers analyzed at age 70 was further explored. To this point, 177 H70‐participants have consented and were enrolled into the smartphone sub‐study. They completed an “Object‐in‐Room Recall Test“ (ORR) remotely and unsupervised using own mobile devices, and the recall session was initiated 24 hours after the initial learning phase. Available previously assessed CSF measures included the Aβ42/Aβ40‐ratio, t‐tau, p‐tau, neurofilament light (NFL), and neurogranin, available in‐clinic cognitive tests included the Rey Auditory Verbal Learning Test (RAVLT), Semantic Fluency, Digit‐Symbol‐Coding, and Mini Mental State Examination. The above‐mentioned cognitive tests were used to derive the Preclinical Alzheimer’s Cognitive Composite (PACC5), a composite designed to be sensitive to cognitive change in preclinical AD. All associations were examined using Pearson correlation coefficient. Result Preliminary analyses in a subset of participants yielded relatively strong positive correlations between PACC5 (R = .50, p 〈 .001) and the ORR Long‐term Delayed Retrieval. The strongest correlation for an individual test was observed between the RAVLT Delayed Retrieval and the ORR Long‐term Delayed Retrieval (R = .52, p 〈 .001). Regarding the CSF biomarkers, Aβ42/Aβ40‐ratio at age 70 was positively correlated with the ORR Long‐term Delayed Retrieval at age 77 (R = .43, p 〈 .01), while measures of t‐tau, p‐tau, NFL, and neurogranin at age 70 were not. Conclusion Our findings demonstrate the potential of smartphone‐based cognitive assessment to detect features of preclinical AD in a population‐based sample of older adults. Future analyses will address the relationship between these novel cognitive measures in relation to longitudinal CSF‐ and neuroimaging‐based biomarkers and clinical progression.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
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  • 4
    In: Alzheimer's & Dementia, Wiley, Vol. 18, No. S2 ( 2022-12)
    Abstract: Remote and unsupervised cognitive testing using smartphones may improve sensitivity to detect preclinical Alzheimer’s disease (AD). In particular, cognitive testing at‐home enables the evaluation of the potentially more sensitive long‐term delayed memory retrieval, which is commonly not feasible in a clinical setting. Method Here, we investigated the association between remote and unsupervised smartphone‐based cognitive assessments and in‐clinic cognitive measurement in older participants (CDR = 0, MMSE = 29.2, age = 77). The sample (non‐demented at age 70) was derived from the Swedish population‐based Gothenburg H70 Birth Cohort Studies. In a subsample of participants, the retrospective correlation with cerebrospinal fluid (CSF) biomarkers analyzed at age 70 was further explored. To this point, 177 H70‐participants have consented and were enrolled into the smartphone sub‐study. They completed an “Object‐in‐Room Recall Test“ (ORR) remotely and unsupervised using own mobile devices, and the recall session was initiated 24 hours after the initial learning phase. Available previously assessed CSF measures included the Aβ42/Aβ40‐ratio, t‐tau, p‐tau, neurofilament light (NFL), and neurogranin, available in‐clinic cognitive tests included the Rey Auditory Verbal Learning Test (RAVLT), Semantic Fluency, Digit‐Symbol‐Coding, and Mini Mental State Examination. The above‐mentioned cognitive tests were used to derive the Preclinical Alzheimer's Cognitive Composite (PACC5), a composite designed to be sensitive to cognitive change in preclinical AD. All associations were examined using Pearson correlation coefficient. Result Preliminary analyses in a subset of participants yielded relatively strong positive correlations between PACC5 (R = .50, p 〈 .001) and the ORR Long‐term Delayed Retrieval. The strongest correlation for an individual test was observed between the RAVLT Delayed Retrieval and the ORR Long‐term Delayed Retrieval (R = .52, p 〈 .001). Regarding the CSF biomarkers, Aβ42/Aβ40‐ratio at age 70 was positively correlated with the ORR Long‐term Delayed Retrieval at age 77 (R = .43, p 〈 .01), while measures of t‐tau, p‐tau, NFL, and neurogranin at age 70 were not. Conclusion Our findings demonstrate the potential of smartphone‐based cognitive assessment to detect features of preclinical AD in a population‐based sample of older adults. Future analyses will address the relationship between these novel cognitive measures in relation to longitudinal CSF‐ and neuroimaging‐based biomarkers and clinical progression.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2201940-6
    Location Call Number Limitation Availability
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