Evidence map›Paper›PMID 24652343›Full record

ArticlePsychological research2014

Individual differences in cognitive plasticity: an investigation of training curves in younger and older adults.

Céline N Bürki, Catherine Ludwig, Christian Chicherio, Anik de Ribaupierre

Abstract read
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In one paragraph

Article in Psychological research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 9 pooled it
10.5field-weighted citation impact, top 2% 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

63 citing papers in PubMed, 9 syntheses or guidelines pooled it, 134 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 1 country.

Céline N BürkiFelix Platter-Hospital, University Center for Medicine of Aging Basel, Basel, Switzerland, Celine.Buerki@usb.ch.
Catherine Ludwig
Christian Chicherio
Anik de Ribaupierre
Felix Platter-Hospital · CHHES-SO University of Applied Sciences and Arts Western Switzerland · CHUniversity Hospital of Geneva · CHUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, cognitive intervention research has provided mixed but nevertheless promising evidence with respect to the effects of cognitive training on untrained tasks (transfer). However, the mechanisms behind learning, training effects and their predictors are not fully understood. Moreover, individual differences, which may constitute an important factor impacting training outcome, are usually neglected. We suggest investigating individual training performance across training sessions in order to gain finer-grained knowledge of training gains, on the one hand, and assessing the potential impact of predictors such as age and fluid intelligence on learning rate, on the other hand. To this aim, we propose to model individual learning curves to examine the intra-individual change in training as well as inter-individual differences in intra-individual change. We recommend introducing a latent growth curve model (LGCM) analysis, a method frequently applied to learning data but rarely used in cognitive training research. Such advanced analyses of the training phase allow identifying factors to be respected when designing effective tailor-made training interventions. To illustrate the proposed approach, a LGCM analysis using data of a 10-day working memory training study in younger and older adults is reported.

Indexed as

IndividualityLearning CurveAdolescentAdultAgedAged, 80 and overAge FactorsAgingCognitionFemaleHumansMaleMemory, Short-TermMiddle AgedNeuropsychological TestsTransfer, Psychology

Identifiers

PMID24652343
OpenAlexW1979135863

What OpenQuestion holds

Textmetadata
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.