Evidence map›Paper›PMID 40161982›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2025

Functional brain networks predicting sustained attention are not specific to perceptual modality.

Anna Corriveau, Jin Ke, Hiroki Terashima, Hirohito M Kondo, Monica D Rosenberg

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Anna CorriveauDepartment of Psychology, The University of Chicago.ORCID https://orcid.org/0000-0003-3122-7198
Jin KeDepartment of Psychology, The University of Chicago.ORCID https://orcid.org/0000-0002-5265-3105
Hiroki TerashimaNTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation.ORCID https://orcid.org/0000-0002-8825-5299
Hirohito M KondoSchool of Psychology, Chukyo University.ORCID https://orcid.org/0000-0002-7444-4996
Monica D RosenbergDepartment of Psychology, The University of Chicago.ORCID https://orcid.org/0000-0001-6179-4025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustained attention is essential for daily life and can be directed to information from different perceptual modalities, including audition and vision. Recently, cognitive neuroscience has aimed to identify neural predictors of behavior that generalize across datasets. Prior work has shown strong generalization of models trained to predict individual differences in sustained attention performance from patterns of fMRI functional connectivity. However, it is an open question whether predictions of sustained attention are specific to the perceptual modality in which they are trained. In the current study, we test whether connectome-based models predict performance on attention tasks performed in different modalities. We show first that a predefined network trained to predict adults'

Indexed as

Auditory attentionFunctional connectivityPredictive modelSustained attentionVisual attention

Identifiers

PMID40161982
PMCPMC11949588

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.