Evidence map›Paper›PMID 40911708›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Practice effects on digital cognitive assessment tools: insights from the defense automated neurobehavioral assessment battery.

Matteo Bellitti, Meagan V Lauber, Edward Searls, Honghuang Lin, Rhoda Au, Vijaya B Kolachalama

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Matteo BellittiDepartment of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Meagan V LauberDepartment of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Edward SearlsDepartment of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Honghuang LinDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Rhoda AuDepartment of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.
Vijaya B KolachalamaDepartment of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA.ORCID 0000-0002-5312-8644

Funding

Neuropathology CoreP30AG013846 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOWALL, NEIL W. · 1996 to 2020
$29.1M
Technology Identification and Training CoreP30AG073105 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DEMIRIS, GEORGE, KARLAWISH, JASON H · 2021 to 2025
$21.2M
Digital Cognitive Assessment of Preclinical Alzheimer's Disease and Related DementiasR01AG083735 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au, Vijaya B. Kolachalama · 2024 to 2026
$2.4M
Mechanisms of drug-coated balloon therapyR01HL159620 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOLACHALAMA, VIJAYA B. · 2021 to 2024
$2.1M
Cognitive Heterogeneity in those with high Alzheimer's Disease RiskRF1AG062109 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 2020 to 2021
$1.8M
Digital Neurodegenerative Pathology After Repetitive Head ImpactsR01NS142076 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Jonathan D Cherry, Vijaya B. Kolachalama · 2025 to 2026
$1.7M
Cognitive heterogeneity in those with high Alzheimer's Disease RiskR01AG062109 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au, Vijaya B. Kolachalama · 2025 to 2026
$1.6M
Cognitive heterogeneity in those with high Alzheimer's Disease RiskR56AG062109 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 2018 to 2018
$517k
American Heart Association 20SFRN35460031National Institute on Aging's Artificial Intelligence and Technology Collaboratories P30-AG073105NHLBI NIH HHS R01 HL159620NIA NIH HHS P30 AG013846NIA NIH HHS P30 AG073105NIA NIH HHS R01 AG062109NIA NIH HHS R01 AG083735NIA NIH HHS R56 AG062109NIA NIH HHS RF1 AG062109NIH HHS P30-AG013846NIH HHS R01-AG062109NIH HHS R01-AG083735NIH HHS R01-HL159620NIH HHS R01-NS142076NINDS NIH HHS R01 NS142076
6 · The paper itself

Abstract

introductionDigital cognitive assessments offer a promising approach to monitoring cognitive impairments, but repeated use can introduce practice effects, potentially masking changes in cognitive status. We evaluated practice effects using the Defense Automated Neurobehavioral Assessment (DANA), a digital battery designed for cognitive monitoring.

methodsWe analyzed data from 116 participants from the Boston University Alzheimer's Disease Research Center, comparing response times across two DANA sessions, around 90 days apart, while controlling for cognitive status, sex, age, and education.

resultsModest practice effects were found, and cognitive impairment was associated with slower response times in several tasks. Classification models, including logistic regression and random forest classification, achieved accuracies of up to 71% in assessing cognitive status. DISCUSSION: Our study establishes a framework for evaluating practice effects in digital cognitive assessment tools. Future work should expand the sample size and diversity to enhance the generalizability of findings in broader clinical contexts. HIGHLIGHTS: We systematically evaluated practice effects using the DANA battery as a case study. Modest practice effects were observed across two testing sessions, with a median inter-session interval of 93 days. Cognitive impairment was significantly associated with slower response times in key tasks (p < 0.001). Our framework offers a systematic approach for evaluating practice effects in digital cognitive tools.

Indexed as

Cognitive DysfunctionNeuropsychological TestsPractice, PsychologicalAgedAged, 80 and overCognitionFemaleHumansMaleReaction Timedigital cognitive assessmentspractice effectsresponse time

Identifiers

PMID40911708
PMCPMC12412751

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.