Evidence map›Paper›PMID 40320775›Full record

ArticleJournal of Alzheimer's disease : JAD2025

Use of posterior probabilities from a long short-term memory network for characterizing dance behavior with multiple accelerometers.

Aston K McCullough

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

1 author.

Aston K McCulloughLaboratory for the Scientific Study of Dance, Center for Cognitive & Brain Health, Northeastern University Boston, Boston, MA, USA.ORCID 0000-0003-2021-5554

Funding

CTSA K12 Program at Tufts UniversityK12TR004384 · NCATS · TUFTS UNIVERSITY BOSTON · PI Karen Freund, Lesley Ann Inker · 2023 to 2026
$6.1M
NCATS NIH HHS K12 TR004384
6 · The paper itself

Abstract

BackgroundDancing may be protective for cognitive health among adults with mild cognitive impairment, Alzheimer's disease or dementia; however, additional methods are needed to characterize motor behavior quality in studies of dance.ObjectiveTo determine how long each of a range of motor behaviors should be observed to optimize the reliability of "dance-like state" (DLS) scores-a novel metric for characterizing motor behavior quality in reference to free-form dancing using accelerometry.MethodsAdults (

Indexed as

AccelerometryDancingAdultAgedFemaleHumansLong Short Term MemoryMaleMiddle AgedReproducibility of ResultsAlzheimer's diseaseautomated pattern recognitionbiometryclassificationdeep learningmotor activityphysical activitywearable devices

Identifiers

PMID40320775
PMCPMC12173766

What OpenQuestion holds

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Registered trials

None linked

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.