Evidence map›Paper›PMID 38457007›Full record

Trial reportGeroScience2024

Learning ratio performance on a brief visual learning and memory test moderates cognitive training gains in Double Decision task in healthy older adults.

Cheshire Hardcastle, Jessica N Kraft, Hanna K Hausman, Andrew O'Shea, Alejandro Albizu, Nicole D Evangelista, Emanuel M Boutzoukas, Emily J Van Etten, Pradyumna K Bharadwaj, Hyun Song and 9 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in GeroScience, 2024. 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
0.8field-weighted citation impact, top 30% 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, 2 citations in OpenAlex.

  1. 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

19 authors at 3 institutions in 1 country.

Cheshire HardcastleCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Jessica N KraftCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Hanna K HausmanCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Andrew O'SheaCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Alejandro AlbizuCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Nicole D EvangelistaCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Emanuel M BoutzoukasCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Emily J Van EttenDepartment of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Pradyumna K BharadwajDepartment of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Hyun SongDepartment of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Samantha G SmithDepartment of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Eric PorgesCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Steven T DeKoskyDepartment of Neurology and McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Georg A HishawDepartment Psychiatry, College of Medicine, University of Arizona, Tucson, AZ, USA.
Samuel S WuDepartment of Biostatistics, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, FL, USA.
Michael MarsiskeCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Ronald CohenCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
Gene E AlexanderDepartment of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.
Adam J WoodsCenter for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA. ajwoods@phhp.ufl.edu.ORCID 0000-0002-0786-0236
University of Florida Health · USUniversity of Arizona · USUniversity of Florida · US

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI ALIREZA ATRI · 2021 to 2026
$24.9M
Augmenting Cognitive Training in Older Adults - The ACT GrantR01AG054077 · NIA · UNIVERSITY OF FLORIDA · PI COHEN, RONALD A, MARSISKE, MICHAEL · 2016 to 2020
$6.9M
Research Training in Non-Pharmacological Interventions for Cognition in Aging, MCI, and Alzheimer's DiseaseT32AG020499 · NIA · UNIVERSITY OF FLORIDA · PI MARSISKE, MICHAEL, SMITH, GLENN E. · 2003 to 2024
$3.7M
Breathing Research and Therapeutics (BREATHE)T32HL134621 · NHLBI · UNIVERSITY OF FLORIDA · PI Gordon S. Mitchell · 2017 to 2026
$3.4M
Clinical and Translational Predoctoral training in Alzheimers Disease and Related DementiasT32AG061892 · NIA · UNIVERSITY OF FLORIDA · PI PARAMITA CHAKRABARTY, JADA M LEWIS · 2018 to 2026
$1.8M
Neuromodulation of Cognition in Older AdultsK01AG050707 · NIA · UNIVERSITY OF FLORIDA · PI WOODS, ADAM J. · 2016 to 2020
$613k
NHLBI NIH HHS T32 HL134621NIA NIH HHS K01 AG050707NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG072980NIA NIH HHS R01 AG054077NIA NIH HHS T32 AG020499NIA NIH HHS T32 AG061892
6 · The paper itself

Abstract

Cognitive training using a visual speed-of-processing task, called the Useful Field of View (UFOV) task, reduced dementia risk and reduced decline in activities of daily living at a 10-year follow-up in older adults. However, there was variability in the achievement of cognitive gains after cognitive training across studies, suggesting moderating factors. Learning trials of visual and verbal learning tasks recruit similar cognitive abilities and have overlapping neural correlates with speed-of-processing/working memory tasks and therefore could serve as potential moderators of cognitive training gains. This study explored the association between the Hopkins Verbal Learning Test-Revised (HVLT-R) and Brief Visuospatial Memory Test-Revised (BVMT-R) learning with a commercial UFOV task called Double Decision. Through a secondary analysis of a clinical trial, we assessed the moderation of HVLT-R and BVMT-R learning on Double Decision improvement after a 3-month speed-of-processing/attention and working memory cognitive training intervention in a sample of 75 cognitively healthy older adults. Multiple linear regressions showed that better baseline Double Decision performance was significantly associated with better BVMT-R learning (β =  - .303). This association was not significant for HVLT-R learning (β =  - .142). Moderation analysis showed that those with poorer BVMT-R learning improved the most on the Double Decision task after cognitive training. This suggests that healthy older adults who perform below expectations on cognitive tasks related to the training task may show the greatest training gains. Future cognitive training research studying visual speed-of-processing interventions should account for differing levels of visuospatial learning at baseline, as this could impact the magnitude of training outcomes and efficacy of the intervention.

Indexed as

Memory, Short-TermAgedAged, 80 and overCognitionCognitive TrainingDecision MakingFemaleHumansMaleMemory and Learning TestsNeuropsychological TestsCognitive trainingHealthy agingSpeed of processingVerbal learningVisual learning

Identifiers

PMID38457007
PMCPMC11226577
OpenAlexW4392598254

What OpenQuestion holds

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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.