Evidence map›Paper›PMID 33955088›Full record

Trial reportHuman brain mapping2021

Increased segregation of structural brain networks underpins enhanced broad cognitive abilities of cognitive training.

Quanjing Chen, Timothy M Baran, Adam Turnbull, Zhengwu Zhang, George W Rebok, Feng Vankee Lin

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
  2. The Effects of Computerized Cognitive Training in Older Adults' Cognitive Performance and Biomarkers of Structural Brain Aging.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
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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

6 authors at 2 institutions in 1 country.

Quanjing ChenElaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical Center, Rochester, New York, USA.ORCID 0000-0003-4630-6817
Timothy M BaranDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.
Adam TurnbullElaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical Center, Rochester, New York, USA.
Zhengwu ZhangDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA.ORCID 0000-0002-9047-8838
George W RebokDepartment of Mental Health, Johns Hopkins University, Baltimore, Maryland, USA.
Feng Vankee LinElaine C. Hubbard Center for Nursing Research on Aging, School of Nursing, University of Rochester Medical Center, Rochester, New York, USA.
University of Rochester Medical Center · USJohns Hopkins University · US

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Targeting Autonomic Flexibility to Enhance Cognitive Training Outcomes in Older Adults with Mild Cognitive ImpairmentR01NR015452 · NINR · UNIVERSITY OF ROCHESTER · PI HEFFNER, KATHI L, LIN, FENG VANKEE · 2015 to 2024
$4.4M
NIA NIH HHS P30 AG066507NIH HHS NR015452NINR NIH HHS R01 NR015452
6 · The paper itself

Abstract

A major challenge in the cognitive training field is inducing broad, far-transfer training effects. Thus far, little is known about the neural mechanisms underlying broad training effects. Here, we tested a set of competitive hypotheses regarding the role of brain integration versus segregation underlying the broad training effect. We retrospectively analyzed data from a randomized controlled trial comparing neurocognitive effects of vision-based speed of processing training (VSOP) and an active control consisting of mental leisure activities (MLA) in older adults with MCI. We classified a subset of participants in the VSOP as learners, who showed improvement in executive function and episodic memory. The other participants in the VSOP (i.e., VSOP non-learners) and a subset of participants in the MLA (i.e., MLA non-learners) served as controls. Structural brain networks were constructed from diffusion tensor imaging. Clustering coefficients (CCs) and characteristic path lengths were computed as measures of segregation and integration, respectively. Learners showed significantly greater global CCs after intervention than controls. Nodal CCs were selectively enhanced in cingulate cortex, parietal regions, striatum, and thalamus. Among VSOP learners, those with more severe baseline neurodegeneration had greater improvement in segregation after training. Our findings suggest broad training effects are related to enhanced segregation in selective brain networks, providing insight into cognitive training related neuroplasticity.

Indexed as

AmnesiaCognitive DysfunctionCognitive RemediationAgedAged, 80 and overCerebral CortexCorpus StriatumDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedNerve NetNeuronal PlasticityPsychomotor PerformanceRetrospective Studiesamnestic mild cognitive impairmentbroad learningcognitive interventionDTIgraph theory

Identifiers

PMID33955088
PMCPMC8193523
OpenAlexW3158327387

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.