Evidence map›Paper›PMID 42896150›Full record

Observational studyJMIR aging2026

Practice Effects on Repeated Self-Administered Digital Cognitive Assessments in Cognitively Intact Older Adults from the Framingham Heart Study: Longitudinal Observational Study.

Kieffer Christianson, Chenglin Lyu, Cody Karjadi, Sherral Devine, Ting Fang Alvin Ang, Ileana De Anda-Duran, Vijaya B Kolachalama, Honghuang Lin, Huitong Ding, Katherine A Gifford and 3 more

Abstract readObservational Study
In one paragraph

Observational study in JMIR aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Kieffer ChristiansonDepartment of Psychology, University of Nevada, Reno, 1664 N. Virginia St, Reno, NV, 89557, United States, 1 (775) 784-6828.ORCID http://orcid.org/0009-0001-5587-7673
Chenglin LyuDepartment of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0009-0005-8723-8752
Cody KarjadiDepartment of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0001-9199-8723
Sherral DevineFramingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0002-5063-6651
Ting Fang Alvin AngDepartment of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0003-4687-2552
Ileana De Anda-DuranDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.ORCID http://orcid.org/0000-0003-3629-9465
Vijaya B KolachalamaDepartment of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0002-5312-8644
Honghuang LinDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID http://orcid.org/0000-0003-3043-3942
Huitong DingDepartment of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0001-6495-3087
Katherine A GiffordDepartment of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0001-6232-9408
Rhoda AuDepartment of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0001-7742-4491
Phillip H HwangDepartment of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.ORCID http://orcid.org/0000-0001-6780-6808
Preeti SunderaramanDepartment of Psychiatry and Human Behavior, Memory and Aging Program, Butler Hospital, Brown University, Providence, RI, United States.ORCID http://orcid.org/0000-0001-6011-8412

Funding

TBDU19AG068753 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Lindsay A. Farrer · 2020 to 2026
$42.4M
Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approachesU01AG068221 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DESTEFANO, ANITA L, LIN, HONGHUANG · 2021 to 2024
$2.5M
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
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
Precision Brain Health Monitoring for Alzheimer's Disease Risk Detection in the Framingham StudyR01AG072654 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au, LEE E. GOLDSTEIN · 2025 to 2026
$1.1M
Modernizing the Assessment of Financial Decision Making: Development and Evaluation of a Simulated Online Money Management Task in Older AdultsR00AG062783 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SUNDERARAMAN, PREETI · 2022 to 2024
$723k
CLC NIH HHS HHSN269201500001CCLC NIH HHS HHSN269201500001INIA NIH HHS R00 AG062783NIA NIH HHS R01 AG062109NIA NIH HHS R01 AG072654NIA NIH HHS R01 AG083735NIA NIH HHS U01 AG068221NIA NIH HHS U19 AG068753
6 · The paper itself

Abstract

Background: Remote, self-administered digital assessments provide scalable approaches for monitoring cognition in older adults. Practice effects (PEs), once viewed as measurement noise, are increasingly recognized as potential markers of cognitive decline. As disease-modifying therapies for neurodegenerative conditions emerge, longitudinal digital assessments may capture subtle cognitive changes. Although the majority of PE studies have focused on memory tasks, it is critical to determine whether PEs occur in other domains. Clarifying the potential presence of PEs across multiple time points on the Food and Drug Administration-cleared Defense Automated Neurocognitive Assessment (DANA) platform remains critical for determining whether PEs can serve as a measure of cognitive decline longitudinally. Objective: This study aimed to examine whether PEs occur and whether demographics moderate them across quarterly self-administrations of digital cognitive tasks spanning different cognitive domains in cognitively intact older adults. Methods: Cognitively intact older adults from the Framingham Heart Study self-administered DANA tasks at baseline and every 3 months for 1 year (4 assessments: T1-T4). Tasks included Simple Reaction Time (SRT), Go/No-Go (GNG), and Code Substitution (CS). These tasks varied in complexity, from simple motor responding (SRT) to inhibitory control (GNG) and associative learning with working memory demands (CS). The primary outcome was Cognitive Efficiency, a derived measure of speed and accuracy, which are also recorded as secondary measures. PEs were quantified using linear mixed-effects models, and the change in mean score across time points was expressed in pooled SD units as Cohen Results: A total of 717 participants completed all 4 time points (mean age 64.1, SD 9.5 years; n=469, 65.4% female participants; n=481, 67.1% college-educated). PEs were observed on all tasks, with small effects on CS ( Conclusions: Quarterly self-administered digital cognitive assessments elicited measurable PEs across processing speed, inhibitory control, and visual scanning, with stronger effects on more complex tasks. Demographics influenced baseline performance, while age moderated PEs on the most demanding task. These findings provide baseline data against which PEs in clinical populations can be compared in future work, complementing prior evidence on other cognitive instruments.

Indexed as

CognitionNeuropsychological TestsPractice, PsychologicalAgedFemaleHumansLongitudinal StudiesMaleMiddle Agedagingbrain smartphonecognitive assessmentdigital assessmentneuropsychologypractice effects

Identifiers

PMID42896150
PMCPMC13679869

What OpenQuestion holds

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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.