Evidence map›Paper›PMID 39158963›Full record

ArticleJournal of medical Internet research2024

The Dual Task Ball Balancing Test and Its Association With Cognitive Function: Algorithm Development and Validation.

Barry Greene, Sean Tobyne, Ali Jannati, Killian McManus, Joyce Gomes Osman, Russell Banks, Ranjit Kher, John Showalter, David Bates, Alvaro Pascual-Leone

Abstract readValidation Study
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Barry GreeneLinus Health, Boston, MA, United States.ORCID 0000-0003-4445-9609
Sean TobyneLinus Health, Boston, MA, United States.ORCID 0000-0001-5985-7920
Ali JannatiLinus Health, Boston, MA, United States.ORCID 0000-0003-0826-1275
Killian McManusLinus Health, Boston, MA, United States.ORCID 0000-0001-7156-4493
Joyce Gomes OsmanLinus Health, Boston, MA, United States.ORCID 0000-0001-6510-0780
Russell BanksLinus Health, Boston, MA, United States.ORCID 0000-0003-1675-2584
Ranjit KherLinus Health, Boston, MA, United States.ORCID 0009-0004-6764-9979
John ShowalterLinus Health, Boston, MA, United States.ORCID 0009-0002-6290-9589
David BatesLinus Health, Boston, MA, United States.ORCID 0009-0008-7339-6946
Alvaro Pascual-LeoneLinus Health, Boston, MA, United States.ORCID 0000-0001-8975-0382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDual task paradigms are thought to offer a quantitative means to assess cognitive reserve and the brain's capacity to allocate resources in the face of competing cognitive demands. The most common dual task paradigms examine the interplay between gait or balance control and cognitive function. However, gait and balance tasks can be physically challenging for older adults and may pose a risk of falls.

objectiveWe introduce a novel, digital dual-task assessment that combines a motor-control task (the "ball balancing" test), which challenges an individual to maintain a virtual ball within a designated zone, with a concurrent cognitive task (the backward digit span task [BDST]).

methodsThe task was administered on a touchscreen tablet, performance was measured using the inertial sensors embedded in the tablet, conducted under both single- and dual-task conditions. The clinical use of the task was evaluated on a sample of 375 older adult participants (n=210 female; aged 73.0, SD 6.5 years).

resultsAll older adults, including those with mild cognitive impairment (MCI) and Alzheimer disease-related dementia (ADRD), and those with poor balance and gait problems due to diabetes, osteoarthritis, peripheral neuropathy, and other causes, were able to complete the task comfortably and safely while seated. As expected, task performance significantly decreased under dual task conditions compared to single task conditions. We show that performance was significantly associated with cognitive impairment; significant differences were found among healthy participants, those with MCI, and those with ADRD. Task results were significantly associated with functional impairment, independent of diagnosis, degree of cognitive impairment (as indicated by the Mini Mental State Examination [MMSE] score), and age. Finally, we found that cognitive status could be classified with >70% accuracy using a range of classifier models trained on 3 different cognitive function outcome variables (consensus clinical judgment, Rey Auditory Verbal Learning Test [RAVLT], and MMSE).

conclusionsOur results suggest that the dual task ball balancing test could be used as a digital cognitive assessment of cognitive reserve. The portability, simplicity, and intuitiveness of the task suggest that it may be suitable for unsupervised home assessment of cognitive function.

Indexed as

AlgorithmsCognitionPostural BalanceAgedAged, 80 and overCognitive DysfunctionFemaleGaitHumansMaleTask Performance and AnalysisAlzheimerbalancecognitive functioncognitive impairmentdementiadual taskinertial sensorsMCImHealthmotorolder adultstablet

Identifiers

PMID39158963
PMCPMC11369523

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.