Evidence map›Paper›PMID 35016575›Full record

ArticleAssessment2023

Utility of Diffusion Modeling of Cogstate Brief Battery Test Performance in Detecting Mild Cognitive Impairment.

Kyler Mulhauser, Bruno Giordani, Voyko Kavcic, L D Nicolas May, Arijit Bhaumik, Sarah Shair, Kristen Votruba

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Assessment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Cognitive modeling of the Mnemonic Similarity Task as a digital biomarker for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  2. 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

7 authors at 2 institutions in 1 country.

Kyler MulhauserUniversity of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-2755-0451
Bruno GiordaniUniversity of Michigan, Ann Arbor, MI, USA.
Voyko KavcicWayne State University, Detroit, MI, USA.
L D Nicolas MayUniversity of Michigan, Ann Arbor, MI, USA.
Arijit BhaumikUniversity of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-6367-3075
Sarah ShairUniversity of Michigan, Ann Arbor, MI, USA.
Kristen VotrubaUniversity of Michigan, Ann Arbor, MI, USA.
University of Michigan · USWayne State University · US

Funding

Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALBIN, ROGER L · 2016 to 2020
$10.1M
Community-based approach to Early Identification of transitions to Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) in African AmericansR01AG054484 · NIA · WAYNE STATE UNIVERSITY · PI KAVCIC, VOYKO · 2018 to 2022
$3.3M
NIA NIH HHS P30 AG053760NIA NIH HHS R01 AG054484
6 · The paper itself

Abstract

Cognitive testing data are essential to the diagnosis of mild cognitive impairment (MCI), and computerized cognitive testing, such as the Cogstate Brief Battery, has proven helpful in efficiently identifying harbingers of dementia. This study provides a side-by-side comparison of traditional Cogstate outcomes and diffusion modeling of these outcomes in predicting MCI diagnosis. Participants included 257 older adults (160 = normal cognition; 97 = MCI). Results showed that both traditional Cogstate and diffusion modeling analyses predicted MCI diagnosis with acceptable accuracy. Cogstate measures of recognition learning and working memory accuracy and diffusion modeling variable of decision-making efficiency (drift rate) and nondecisional time were most predictive of MCI. While participants with normal cognition demonstrated a change in response caution (boundary separation) when transitioning tasks, participants with MCI did not evidence this change.

Indexed as

Cognitive DysfunctionAgedHumansLearningMemory, Short-TermNeuropsychological Testscognitive screeningCogstate Brief Batterydiffusion modelingmild cognitive impairment

Identifiers

PMID35016575
PMCPMC12317333
OpenAlexW4205950421

What OpenQuestion holds

Textmetadata
LicenceTDM
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.