Evidence map›Paper›PMID 35331866›Full record

ArticleNeuroImage2022

Enhancing cortical network-level participation coefficient as a potential mechanism for transfer in cognitive training in aMCI.

Quanjing Chen, Adam Turnbull, Martin Cole, Zhengwu Zhang, Feng V Lin

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 12 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

5 authors at 5 institutions in 1 country.

Quanjing ChenCogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, United States.
Adam TurnbullCogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, United States; School of Nursing, University of Rochester, United States. Electronic address: adam_turnbull@urmc.rochester.edu.
Martin ColeDepartment of Biostatics and Computational Biology, University of Rochester, United States.
Zhengwu ZhangDepartment of Statistics and Operations Research, UNC-Chapel Hill, United States.
Feng V LinCogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, United States; The Wu Tsai Neuroscience Institute, Stanford University, University of Rochester, United States.
Neurosciences Institute · USStanford University · USUniversity of North Carolina at Chapel Hill · USUniversity of Rochester · USUniversity of Rochester Medical Center · US

Funding

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
NINR NIH HHS R01 NR015452
6 · The paper itself

Abstract

Effective cognitive training must improve cognition beyond the trained domain (show a transfer effect) and be applicable to dementia-risk populations, e.g., amnesic mild cognitive impairment (aMCI). Theories suggest training should target processes that 1) show robust engagement, 2) are domain-general, and 3) reflect long-lasting changes in brain organization. Brain regions that connect to many different networks (i.e., show high participation coefficient; PC) are known to support integration. This capacity is 1) relatively preserved in aMCI, 2) required across a wide range of cognitive domains, and 3) trait-like. In 49 individuals with aMCI that completed a 6-week visual speed of processing training (VSOP) and 28 active controls, enhancement in PC was significantly more related to transfer to working memory at global and network levels in VSOP compared to controls, particularly in networks with many high-PC nodes. This suggests that enhancing brain integration may provide a target for developing effective cognitive training.

Indexed as

Cognition DisordersCognitive DysfunctionBrainCognitionHumansMemory, Short-TermNeuropsychological TestsCognitive trainingGraph theoryIntegrationParticipation coefficientTransfer effect

Identifiers

PMID35331866
PMCPMC9199485
OpenAlexW4221007771

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.