Evidence map›Paper›PMID 35082607›Full record

ArticleFrontiers in human neuroscience2021

Resting-State Functional Connectivity in the Dorsal Attention Network Relates to Behavioral Performance in Spatial Attention Tasks and May Show Task-Related Adaptation.

Björn Machner, Lara Braun, Jonathan Imholz, Philipp J Koch, Thomas F Münte, Christoph Helmchen, Andreas Sprenger

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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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

7 authors.

Björn MachnerDepartment of Neurology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Lara BraunDepartment of Neurology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Jonathan ImholzDepartment of Neurology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Philipp J KochDepartment of Neurology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Thomas F MünteDepartment of Neurology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Christoph HelmchenDepartment of Neurology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Andreas SprengerDepartment of Neurology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Between-subject variability in cognitive performance has been related to inter-individual differences in functional brain networks. Targeting the dorsal attention network (DAN) we questioned (i) whether resting-state functional connectivity (FC) within the DAN can predict individual performance in spatial attention tasks and (ii) whether there is short-term adaptation of DAN-FC in response to task engagement. Twenty-seven participants first underwent resting-state fMRI (PRE run), they subsequently performed different tasks of spatial attention [including visual search (VS)] and immediately afterwards received another rs-fMRI (POST run). Intra- and inter-hemispheric FC between core hubs of the DAN, bilateral intraparietal sulcus (IPS) and frontal eye field (FEF), was analyzed and compared between PRE and POST. Furthermore, we investigated rs-fMRI-behavior correlations between the DAN-FC in PRE/POST and task performance parameters. The absolute DAN-FC did not change from PRE to POST. However, different significant rs-fMRI-behavior correlations were revealed for intra-/inter-hemispheric connections in the PRE and POST run. The stronger the FC between left FEF and IPS before task engagement, the better was the learning effect (improvement of reaction times) in VS (

Indexed as

attention networkbehaviorfunctional connectivityresting-state fMRIspatial attention

Identifiers

PMID35082607
PMCPMC8784839

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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.