Evidence map›Paper›PMID 26701168›Full record

ArticleBrain structure & function2016

Gray matter responsiveness to adaptive working memory training: a surface-based morphometry study.

Francisco J Román, Lindsay B Lewis, Chi-Hua Chen, Sherif Karama, Miguel Burgaleta, Kenia Martínez, Claude Lepage, Susanne M Jaeggi, Alan C Evans, William S Kremen and 1 more

Open access · greenAbstract read
In one paragraph

Article in Brain structure & function, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 31 citations in OpenAlex.

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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

11 authors at 6 institutions in 3 countries.

Francisco J RománUniversidad Autónoma de Madrid, 28049, Madrid, Spain.
Lindsay B LewisMontreal Neurological Institute (MNI), McGill University, Montreal, Canada.
Chi-Hua ChenUniversity of California, San Diego, USA.
Sherif KaramaMontreal Neurological Institute (MNI), McGill University, Montreal, Canada.
Miguel BurgaletaUniversidad Pompeu Fabra, Barcelona, Spain.
Kenia MartínezUniversidad Autónoma de Madrid, 28049, Madrid, Spain.
Claude LepageMontreal Neurological Institute (MNI), McGill University, Montreal, Canada.
Susanne M JaeggiUniversity of California at Irvine, Irvine, USA.
Alan C EvansMontreal Neurological Institute (MNI), McGill University, Montreal, Canada.
William S KremenUniversity of California, San Diego, USA.
Roberto ColomUniversidad Autónoma de Madrid, 28049, Madrid, Spain. roberto.colom@uam.es.
Universidad Autónoma de Madrid · ESMcGill University · CAMontreal Neurological Institute and Hospital · CAUniversity of California, San Diego · USPompeu Fabra University · ESUniversity of California, Irvine · US

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
The VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8M
The VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7M
NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG050595
6 · The paper itself

Abstract

Here we analyze gray matter indices before and after completing a challenging adaptive cognitive training program based on the n-back task. The considered gray matter indices were cortical thickness (CT) and cortical surface area (CSA). Twenty-eight young women (age range 17-22 years) completed 24 training sessions over the course of 3 months (12 weeks, 24 sessions), showing expected performance improvements. CT and CSA values for the training group were compared with those of a matched control group. Statistical analyses were computed using a ROI framework defined by brain areas distinguished by their genetic underpinning. The interaction between group and time was analyzed. Middle temporal, ventral frontal, inferior parietal cortices, and pars opercularis were the regions where the training group showed conservation of gray matter with respect to the control group. These regions support working memory, resistance to interference, and inhibition. Furthermore, an interaction with baseline intelligence differences showed that the expected decreasing trend at the biological level for individuals showing relatively low intelligence levels at baseline was attenuated by the completed training.

Indexed as

AdolescentAdultBrainFemaleGray MatterHumansIntelligenceMagnetic Resonance ImagingMemory, Short-TermYoung AdultBrain plasticityCognitive trainingCortical surface areaCortical thicknessSurface-based morphometry

Identifiers

PMID26701168
PMCPMC4919225
OpenAlexW2237937489

What OpenQuestion 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 OpenQuestion graph.