Evidence map›Paper›PMID 39755175›Full record

ReviewAgeing research reviews2025

Effective engagement in computerized cognitive training for older adults.

Anna Luiza Guimarães, Feng V Lin, Rogerio Panizzutti, Adam Turnbull

Abstract readReview
In one paragraph

Review in Ageing research reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Feasibility of lifestyle interventions for cognition in adults with low education.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Trial
  3. Review
  4. 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

4 authors.

Anna Luiza GuimarãesInstituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro, Brazil; Instituto de Psiquiatria, Universidade Federal do Rio de Janeiro, Brazil; CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, United States.
Feng V LinCogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, United States.
Rogerio PanizzuttiInstituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro, Brazil; Instituto de Psiquiatria, Universidade Federal do Rio de Janeiro, Brazil.
Adam TurnbullCogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, United States. Electronic address: aturnbu2@stanford.edu.

Funding

A facial expression-based personalization engine (FPE) for monitoring and modulating real-time effective engagement in cognitive training in older adults at risk for AD/ADRDR33AG084471 · NIA · STANFORD UNIVERSITY · PI Ehsan Adeli, Feng Vankee Lin · 2025 to 2026
$1.1M
vmPFC's role in adherence to cognitive trainingR61AG081723 · NIA · STANFORD UNIVERSITY · PI HEFFNER, KATHI L, LIN, FENG VANKEE · 2023 to 2024
$988k
A facial expression-based personalization engine (FPE) for monitoring and modulating real-time effective engagement in cognitive training in older adults at risk for AD/ADRDR61AG084471 · NIA · STANFORD UNIVERSITY · PI ADELI, EHSAN, LIN, FENG VANKEE · 2023 to 2024
$702k
Characterizing biopsychological mismatch during cognitive training in mild cognitive impairment as a means of improving transferK01AG086665 · NIA · STANFORD UNIVERSITY · PI Adam Turnbull · 2024 to 2026
$378k
NIA NIH HHS K01 AG086665NIA NIH HHS R33 AG084471NIA NIH HHS R61 AG081723NIA NIH HHS R61 AG084471
6 · The paper itself

Abstract

Computerized cognitive training (CCT) is a frontline therapy to prevent or slow age-related cognitive decline. A prerequisite for CCT research to provide clinically relevant improvements in cognition is to understand effective engagement, i.e., the pattern of energy investment that ensures CCT effectiveness. Even though previous studies have assessed whether particular variables (e.g., gamification) predict engagement and/or CCT effectiveness, the field lacks a systematic approach to understanding effective engagement. Here, by comprehensively reviewing and evaluating engagement and adjacent literature, we propose a standardized measurement and operational framework to promote effective engagement with CCT targeting cognitive decline in older adults. We suggest that promoting effective engagement with CCT has two key steps: 1) comprehensively measuring engagement with CCT and 2) identifying which aspects of engagement are essential to achieve the pre-specified outcome of clinically relevant improvements in cognition. The proposed measurement and operational framework of effective engagement will allow future research to maximize older adults' engagement with CCT to slow/prevent age-related cognitive decline.

Indexed as

AgingCognitionCognitive Behavioral TherapyCognitive DysfunctionTherapy, Computer-AssistedAgedCognitive TrainingHumansAgingCognitive trainingEffective engagement

Identifiers

PMID39755175
PMCPMC11807753

What Socratic 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 Socratic graph.