Evidence map›Paper›PMID 26257643›Full record

ArticleFrontiers in aging neuroscience2015

Multi-domain training in healthy old age: Hotel Plastisse as an iPad-based serious game to systematically compare multi-domain and single-domain training.

Julia C Binder, Jacqueline Zöllig, Anne Eschen, Susan Mérillat, Christina Röcke, Sarah F Schoch, Lutz Jäncke, Mike Martin

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Julia C BinderDivision of Gerontopsychology and Gerontology, Department of Psychology, University of Zurich Zurich, Switzerland ; International Normal Aging and Plasticity Imaging Center, University of Zurich Zurich, Switzerland ; University Research Priority Program "Dynamics of Healthy Aging", University of Zurich Zurich, Switzerland.
Jacqueline ZölligDivision of Gerontopsychology and Gerontology, Department of Psychology, University of Zurich Zurich, Switzerland ; International Normal Aging and Plasticity Imaging Center, University of Zurich Zurich, Switzerland.
Anne EschenInternational Normal Aging and Plasticity Imaging Center, University of Zurich Zurich, Switzerland ; University Research Priority Program "Dynamics of Healthy Aging", University of Zurich Zurich, Switzerland.
Susan MérillatInternational Normal Aging and Plasticity Imaging Center, University of Zurich Zurich, Switzerland ; University Research Priority Program "Dynamics of Healthy Aging", University of Zurich Zurich, Switzerland.
Christina RöckeInternational Normal Aging and Plasticity Imaging Center, University of Zurich Zurich, Switzerland ; University Research Priority Program "Dynamics of Healthy Aging", University of Zurich Zurich, Switzerland.
Sarah F SchochInternational Normal Aging and Plasticity Imaging Center, University of Zurich Zurich, Switzerland ; University Research Priority Program "Dynamics of Healthy Aging", University of Zurich Zurich, Switzerland.
Lutz JänckeInternational Normal Aging and Plasticity Imaging Center, University of Zurich Zurich, Switzerland ; University Research Priority Program "Dynamics of Healthy Aging", University of Zurich Zurich, Switzerland ; Division of Neuropsychology, Department of Psychology, University of Zurich Zurich, Switzerland.
Mike MartinDivision of Gerontopsychology and Gerontology, Department of Psychology, University of Zurich Zurich, Switzerland ; International Normal Aging and Plasticity Imaging Center, University of Zurich Zurich, Switzerland ; University Research Priority Program "Dynamics of Healthy Aging", University of Zurich Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finding effective training interventions for declining cognitive abilities in healthy aging is of great relevance, especially in view of the demographic development. Since it is assumed that transfer from the trained to untrained domains is more likely to occur when training conditions and transfer measures share a common underlying process, multi-domain training of several cognitive functions should increase the likelihood of such an overlap. In the first part, we give an overview of the literature showing that cognitive training using complex tasks, such as video games, leisure activities, or practicing a series of cognitive tasks, has shown promising results regarding transfer to a number of cognitive functions. These studies, however, do not allow direct inference about the underlying functions targeted by these training regimes. Custom-designed serious games allow to design training regimes according to specific cognitive functions and a target population's need. In the second part, we introduce the serious game Hotel Plastisse as an iPad-based training tool for older adults that allows the comparison of the simultaneous training of spatial navigation, visuomotor function, and inhibition to the training of each of these functions separately. Hotel Plastisse not only defines the cognitive functions of the multi-domain training clearly, but also implements training in an interesting learning environment including adaptive difficulty and feedback. We propose this novel training tool with the goal of furthering our understanding of how training regimes should be designed in order to affect cognitive functioning of older adults most broadly.

Indexed as

cognitive declinecognitive traininghealthy agingiPadmulti-domain trainingserious game

Identifiers

PMID26257643
PMCPMC4511844

What OpenQuestion holds

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LicenceCC BY
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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.