Feasibility and Psychometric Integrity of Mobile Phone-Based Intensive Measurement of Cognition in Older Adults

Brewster, Paul; Rush, Jonathan; Ozen, Lana J.; Vendittelli, Rebecca

doi:10.1080/0361073x.2021.1894072

Cited by 13 publications

(15 citation statements)

References 32 publications

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“…This discrepancy is likely due to the strong relationship between initial performance and practice effects reflecting a regression to the mean effect. With additional assessments, such as what is done in burst designs for digital cognitive assessments that involve high frequency testing over a short time span, 38 scores are expected to eventually converge at the mean, presumably reflecting a more accurate and robust quantification of an individual's ability. Taken together, our results suggest that regression to the mean effects can obscure other important relationships, highlighting the need to factor in initial performance.…”

Section: Discussionmentioning

confidence: 99%

Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort

Young

Mormino

Poston

et al. 2023

Alz & Dem Diag Ass & Dis Mo

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Scalable cognitive paradigms that provide metrics such as the Computerized Cognitive Composite (C3) may be sensitive enough to relate to Alzheimer's disease biomarkers in the preclinical clinically unimpaired (CU) stage. We examined CU older adults (n = 3287) who completed alternate versions of the C3 approximately 51 days apart. A subset of CU with abnormal amyloid also completed tau positron emission tomography (PET) imaging. C3 initial performance and practice effects were examined in relation to amyloid status and continuous regional tau burden. Initial C3 performance was associated with amyloid status across all participants, and with tau burden in the medial temporal lobe and early cortical regions in CU with abnormal amyloid. Short-term practice effects were associated with reduced tau in these regions in CU with abnormal amyloid, but were not associated with amyloid status. Thus, computerized cognitive testing repeated over a short follow-up period provides additional insights into early Alzheimer's disease processes.

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Section: Discussionmentioning

confidence: 99%

Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort

Young

Mormino

Poston

et al. 2023

Alz & Dem Diag Ass & Dis Mo

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“…Some mobile-based assessment tools (e.g., Trail Making Test, MoCA, or MMSE) also demonstrate very good concurrent validity, as evidenced by high correlation against their conventional in-person versions [49,50,55]. Recent studies also show good construct validity of mobile-based assessments through sensitivity to age and education effects, as well as fluid and neuro-imaging biomarkers that index AD progression.…”

Section: Unsupervised Mobile Web-based Cognitive Assessmentsmentioning

confidence: 99%

“…Although there have been few studies conducted on mobile assessments as this field is fairly new, recent studies show that mobile tools can in some cases achieve high between-person reliability (i.e., whether inter-individual differences are comparable over repeated testing) [46 ▪▪ ,50–54] and good test-retest reliability over intervals ranging from several days to several months[46 ▪▪ ,50,55,56 ▪ ]. This suggests that high-frequency measurement can be used with confidence to assess within-person fluctuations in cognitive performance.…”

Section: Unsupervised Mobile Web-based Cognitive Assessmentsmentioning

confidence: 99%

“…Recent studies also show good construct validity of mobile-based assessments through sensitivity to age and education effects, as well as fluid and neuro-imaging biomarkers that index AD progression. These biomarkers also include measures such as cortical thickness, hippocampal volume, and levels of amyloid and tau [46 ▪▪ ,50,55,58–60]. Moreover, mobile-based assessments have good diagnostic accuracy in distinguishing people with MCI or AD from cognitively healthy older adults [55], and sometimes have greater accuracy than conventional in-person tools, such as the MoCA [61].…”

Section: Unsupervised Mobile Web-based Cognitive Assessmentsmentioning

confidence: 99%

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Web-based cognitive assessment in older adults: Where do we stand?

Belleville,

LaPlume,

Purkart

2023

Current Opinion in Neurology

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Purpose of review The use of digital tools for remote cognitive measurement of older adults is generating increasing interest due to the numerous advantages offered for accessibility and scalability. However, these tools also pose distinctive challenges, necessitating a thorough analysis of their psychometric properties, feasibility and acceptability. Recent findings In this narrative review, we present the recent literature on the use of web-based cognitive assessment to characterize cognition in older adults and to contribute to the diagnosis of age-related neurodegenerative diseases. We present and discuss three types of web-based cognitive assessments: conventional cognitive tests administered through videoconferencing; unsupervised web-based assessments conducted on a computer; and unsupervised web-based assessments performed on smartphones. Summary There have been considerable progress documenting the properties, strengths and limitations of web-based cognitive assessments. For the three types of assessments reported here, the findings support their promising potential for older adults. However, certain aspects, such as the construct validity of these tools and the development of robust norms, remain less well documented. Nonetheless, the beneficial potential of these tools, and their current validation and feasibility data, justify their application [see Supplementary Digital Content (SDC), http://links.lww.com/CONR/A69].

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“…However, the tests still manifested sufficient within-person variability to capture cognitive fluctuations between occasions (within-person reliability of 0.41-0.53). Furthermore, smartphone-administered brief cognitive assessment repeated twice a day in multiple short sessions across 12 months could disentangle long-and short-term changes in cognitive performance [104]. Most of the variance in cognitive performance was due to between-person differences and shortterm within-person fluctuations.…”

Section: Remote Repeated Cognitive Assessmentmentioning

confidence: 99%

Developments in scalable strategies for detecting early markers of cognitive decline

et al. 2022

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Effective strategies for early detection of cognitive decline, if deployed on a large scale, would have individual and societal benefits. However, current detection methods are invasive or time-consuming and therefore not suitable for longitudinal monitoring of asymptomatic individuals. For example, biological markers of neuropathology associated with cognitive decline are typically collected via cerebral spinal fluid, cognitive functioning is evaluated from face-to-face assessments by experts and brain measures are obtained using expensive, non-portable equipment. Here, we describe scalable, repeatable, relatively non-invasive and comparatively inexpensive strategies for detecting the earliest markers of cognitive decline. These approaches are characterized by simple data collection protocols conducted in locations outside the laboratory: measurements are collected passively, by the participants themselves or by non-experts. The analysis of these data is, in contrast, often performed in a centralized location using sophisticated techniques. Recent developments allow neuropathology associated with potential cognitive decline to be accurately detected from peripheral blood samples. Advances in smartphone technology facilitate unobtrusive passive measurements of speech, fine motor movement and gait, that can be used to predict cognitive decline. Specific cognitive processes can be assayed using ‘gamified’ versions of standard laboratory cognitive tasks, which keep users engaged across multiple test sessions. High quality brain data can be regularly obtained, collected at-home by users themselves, using portable electroencephalography. Although these methods have great potential for addressing an important health challenge, there are barriers to be overcome. Technical obstacles include the need for standardization and interoperability across hardware and software. Societal challenges involve ensuring equity in access to new technologies, the cost of implementation and of any follow-up care, plus ethical issues.

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Feasibility and Psychometric Integrity of Mobile Phone-Based Intensive Measurement of Cognition in Older Adults

Cited by 13 publications

References 32 publications

Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort

Computerized cognitive practice effects in relation to amyloid and tau in preclinical Alzheimer's disease: Results from a multi‐site cohort

Web-based cognitive assessment in older adults: Where do we stand?

Developments in scalable strategies for detecting early markers of cognitive decline

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