Evidence map›Paper›PMID 28049445›Full record

ArticleBMC neuroscience2017

Expertise-related functional brain network efficiency in healthy older adults.

Julia C Binder, Ladina Bezzola, Aurea I S Haueter, Carina Klein, Jürg Kühnis, Hansruedi Baetschmann, Lutz Jäncke

Abstract read
In one paragraph

Article in BMC neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
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  3. Neural embedding of frailty in cognitively unimpaired aging and dementia across Latin America.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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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

7 authors.

Julia C BinderDivision of Gerontopsychology and Gerontology, Department of Psychology, University of Zurich, Zurich, Switzerland. j.binder@psychologie.uzh.ch.
Ladina BezzolaInternational Normal Aging and Plasticity Imaging Center (INAPIC), University of Zurich, Zurich, Switzerland.
Aurea I S HaueterDivision of Gerontopsychology and Gerontology, Department of Psychology, University of Zurich, Zurich, Switzerland.
Carina KleinDivision of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland.
Jürg KühnisDivision of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland.
Hansruedi BaetschmannDivision of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland.
Lutz JänckeInternational Normal Aging and Plasticity Imaging Center (INAPIC), University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn view of age-related brain changes, identifying factors that are associated with healthy aging are of great interest. In the present study, we compared the functional brain network characteristics of three groups of healthy older participants aged 61-75 years who had a different cognitive and motor training history (multi-domain group: participants who had participated in a multi-domain training; visuomotor group: participants who had participated in a visuomotor training; control group: participants with no specific training history). The study's basic idea was to examine whether these different training histories are associated with differences in behavioral performance as well as with task-related functional brain network characteristics. Based on a high-density electroencephalographic measurement one year after training, we calculated graph-theoretical measures representing the efficiency of functional brain networks.

resultsBehaviorally, the multi-domain group performed significantly better than the visuomotor and the control groups on a multi-domain task including an inhibition domain, a visuomotor domain, and a spatial navigation domain. In terms of the functional brain network features, the multi-domain group showed significantly higher functional connectivity in a network encompassing visual, motor, executive, and memory-associated brain areas in the theta frequency band compared to the visuomotor group. These brain areas corresponded to the multi-domain task demands. Furthermore, mean connectivity of this network correlated positively with performance across both the multi-domain and the visuomotor group. In addition, the multi-domain group showed significantly enhanced processing efficiency reflected by a higher mean weighted node degree (strength) of the network as compared to the visuomotor group.

conclusionsTaken together, our study shows expertise-dependent differences in task-related functional brain networks. These network differences were evident even a year after the acquisition of the different expertise levels. Hence, the current findings can foster understanding of how expertise is positively associated with brain functioning during aging.

Indexed as

AgingPractice, PsychologicalAgedBrain WavesCerebral CortexCognitionElectroencephalographyFemaleHumansMaleMiddle AgedNeural PathwaysNeuropsychological TestsPsychomotor PerformanceElectroencephalography (EEG)ExpertiseFunctional brain networksGraph theoryHealthy agingNetwork-based statistics (NBS)

Identifiers

PMID28049445
PMCPMC5209906

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.