Evidence map›Paper›PMID 31132420›Full record

ArticleNeuropsychologia2019

Brain network modularity predicts cognitive training-related gains in young adults.

Pauline L Baniqued, Courtney L Gallen, Michael B Kranz, Arthur F Kramer, Mark D'Esposito

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuropsychologia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

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  7. Encoding Manual Dexterity through Modulation of Intrinsic α Band Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 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

5 authors.

Pauline L BaniquedHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA, 94720; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA, 61801. Electronic address: paulineb@berkeley.edu.
Courtney L GallenHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA, 94720; Department of Neurology, University of California, San Francisco, San Francisco, CA, USA, 94158; Neuroscape, University of California, San Francisco, San Francisco, CA, USA, 94158.
Michael B KranzBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA, 61801.
Arthur F KramerBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA, 61801; Psychology Department, Northeastern University, Boston, MA, USA, 02115.
Mark D'EspositoHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA, 94720.

Funding

Mechanisms of Neuroplasticity in Functional Brain NetworksR01NS079698 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI D'ESPOSITO, MARK · 2013 to 2017
$1.6M
NINDS NIH HHS R01 NS079698
6 · The paper itself

Abstract

The brain operates via networked activity in separable groups of regions called modules. The quantification of modularity compares the number of connections within and between modules, with high modularity indicating greater segregation, or dense connections within sub-networks and sparse connections between sub-networks. Previous work has demonstrated that baseline brain network modularity predicts executive function outcomes in older adults and patients with traumatic brain injury after cognitive and exercise interventions. In healthy young adults, however, the functional significance of brain modularity in predicting training-related cognitive improvements is not fully understood. Here, we quantified brain network modularity in young adults who underwent cognitive training with casual video games that engaged working memory and reasoning processes. Network modularity assessed at baseline was positively correlated with training-related improvements on untrained tasks. The relationship between baseline modularity and training gain was especially evident in initially lower performing individuals and was not present in a group of control participants that did not show training-related gains. These results suggest that a more modular brain network organization may allow for greater training responsiveness. On a broader scale, these findings suggest that, particularly in low-performing individuals, global network properties can capture aspects of brain function that are important in understanding individual differences in learning.

Indexed as

AdolescentAdultAttentionBrainCognitionFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMemory, Short-TermNerve NetNeuropsychological TestsProblem SolvingVideo GamesYoung AdultBrain network modularityCognitive trainingFunctional connectivityReasoningWorking memory

Identifiers

PMID31132420
PMCPMC6742437

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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.