Evidence map›Paper›PMID 32457647›Full record

ArticleFrontiers in physiology2020

Brain Network Modularity During a Sustained Working-Memory Task.

Marta Moraschi, Daniele Mascali, Silvia Tommasin, Tommaso Gili, Ibrahim Eid Hassan, Michela Fratini, Mauro DiNuzzo, Richard G Wise, Silvia Mangia, Emiliano Macaluso and 1 more

Abstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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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.

Marta MoraschiCentro Fermi-Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi, Rome, Italy.
Daniele MascaliCentro Fermi-Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi, Rome, Italy.
Silvia TommasinDipartimento di Neuroscienze Umane, Sapienza Univeristà di Roma, Rome, Italy.
Tommaso GiliCentro Fermi-Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi, Rome, Italy.
Ibrahim Eid HassanDipartimento di Fisica, Sapienza Università di Roma, Rome, Italy.
Michela FratiniFondazione Santa Lucia IRCCS, Rome, Italy.
Mauro DiNuzzoIndependent Researcher, Rome, Italy.
Richard G WiseInstitute for Advanced Biomedical Technologies, University of Chieti, Chieti, Italy.
Silvia MangiaCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States.
Emiliano MacalusoImpAct Team, Lyon Neuroscience Research Center, Université de Lyon, Lyon, France.
Federico GioveCentro Fermi-Museo Storico della Fisica e Centro di Studi e Ricerche Enrico Fermi, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous oscillations of the blood oxygenation level-dependent (BOLD) signal are spatially synchronized within specific brain networks and are thought to reflect synchronized brain activity. Networks are modulated by the performance of a task, even if the exact features and degree of such modulations are still elusive. The presence of networks showing anticorrelated fluctuations lend initially to suppose that a competitive relationship between the default mode network (DMN) and task positive networks (TPNs) supports the efficiency of brain processing. However, more recent results indicate that cooperative and competitive dynamics between networks coexist during task performance. In this study, we used graph analysis to assess the functional relevance of the topological reorganization of brain networks ensuing the execution of a steady state working-memory (WM) task. Our results indicate that the performance of an auditory WM task is associated with a switching between different topological configurations of several regions of specific networks, including frontoparietal, ventral attention, and dorsal attention areas, suggesting segregation of ventral attention regions in the presence of increased overall integration. However, the correct execution of the task requires integration between components belonging to all the involved networks.

Indexed as

brain segregationconnectivity dynamicsfunctional connectivitymodularitytopologyworking memory

Identifiers

PMID32457647
PMCPMC7227445

What OpenQuestion holds

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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.