Evidence map›Paper›PMID 37694362›Full record

ArticleJournal of Alzheimer's disease : JAD2023

Delayed and More Variable Unimanual and Bimanual Finger Tapping in Alzheimer's Disease: Associations with Biomarkers and Applications for Classification.

Vincent Koppelmans, Marit F L Ruitenberg, Sydney Y Schaefer, Jace B King, John M Hoffman, Amanda F Mejia, Tolga Tasdizen, Kevin Duff

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 29 citations in OpenAlex.

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  7. Alzheimer's disease biomarker burden in primary motor cortices is associated with poorer dexterity performance.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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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

8 authors at 6 institutions in 2 countries.

Vincent KoppelmansDepartment of Psychiatry, University of Utah, Salt Lake City, UT, USA.
Marit F L RuitenbergDepartment of Health, Medical and Neuropsychology, Leiden University, Leiden, the Netherlands.
Sydney Y SchaeferSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Jace B KingDepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA.
John M HoffmanCenter for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.
Amanda F MejiaDepartment of Statistics, University of Indiana, Bloomington, IN, USA.
Tolga TasdizenSchool of Computing, University of Utah, Salt Lake City, UT, USA.
Kevin DuffDepartment of Neurology, University of Utah, Salt Lake City, UT, USA.
University of Utah · USArizona State University · USHuntsman Cancer Institute · USIndiana University Bloomington · USLeiden University · NLOregon Health & Science University · US

Funding

Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI JESSICA BROOKE LANGBAUM · 2021 to 2026
$24.9M
CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Enriching clinical trials requiring amyloid positivity with practice effectsR01AG055428 · NIA · UNIVERSITY OF UTAH · PI DUFF, KEVIN M, HOFFMAN, JOHN M · 2017 to 2021
$3.6M
Motor Profiles as Novel Biomarker for Alzheimer’s DiseaseK01AG073578 · NIA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI KOPPELMANS, VINCENT · 2021 to 2025
$651k
Novel metrics of brain dynamics in Alzheimer’s diseaseK01AG075166 · NIA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jace Bradford King · 2022 to 2026
$651k
NCATS NIH HHS UM1 TR004409NIA NIH HHS K01 AG073578NIA NIH HHS K01 AG075166NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG055428
6 · The paper itself

Abstract

backgroundDespite reports of gross motor problems in mild cognitive impairment (MCI) and Alzheimer's disease (AD), fine motor function has been relatively understudied.

objectiveWe examined if finger tapping is affected in AD, related to AD biomarkers, and able to classify MCI or AD.

methodsForty-seven cognitively normal, 27 amnestic MCI, and 26 AD subjects completed unimanual and bimanual computerized tapping tests. We tested 1) group differences in tapping with permutation models; 2) associations between tapping and biomarkers (PET amyloid-β, hippocampal volume, and APOEɛ4 alleles) with linear regression; and 3) the predictive value of tapping for group classification using machine learning.

resultsAD subjects had slower reaction time and larger speed variability than controls during all tapping conditions, except for dual tapping. MCI subjects performed worse than controls on reaction time and speed variability for dual and non-dominant hand tapping. Tapping speed and variability were related to hippocampal volume, but not to amyloid-β deposition or APOEɛ4 alleles. Random forest classification (overall accuracy = 70%) discriminated control and AD subjects, but poorly discriminated MCI from controls or AD.

conclusionsMCI and AD are linked to more variable finger tapping with slower reaction time. Associations between finger tapping and hippocampal volume, but not amyloidosis, suggest that tapping deficits are related to neuropathology that presents later during the disease. Considering that tapping performance is able to differentiate between control and AD subjects, it can offer a cost-efficient tool for augmenting existing AD biomarkers.

Indexed as

Alzheimer DiseaseAmyloidosisCognitive DysfunctionAmyloid beta-PeptidesBiomarkersHumansAmyloid beta-PeptidesBiomarkersAlzheimer’s diseasebiomarkersfinger tappingmanual dexteritymotor function

Identifiers

PMID37694362
PMCPMC10578230
OpenAlexW4386465524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.