Evidence map›Paper›PMID 31536682›Full record

ArticleBrain and behavior2019

Parcellation-based tractographic modeling of the dorsal attention network.

Parker G Allan, Robert G Briggs, Andrew K Conner, Christen M O'Neal, Phillip A Bonney, Brian D Maxwell, Cordell M Baker, Joshua D Burks, Goksel Sali, Chad A Glenn and 1 more

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 59 citations in OpenAlex.

  1. Temporal stability of functional network configurations and its relationship to cognition and psychopathology in early psychoses.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  12. The Brain Connectome for Clinical Neuroscience.Advances in experimental medicine and biology · 2024
    Review
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  17. Article
  18. Review
  19. Visual Attention and Poor Sleep Quality.Frontiers in neuroscience · 2022
    Article
  20. Article
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 at 4 institutions in 2 countries.

Parker G AllanDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.ORCID 0000-0002-6302-4793
Robert G BriggsDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.ORCID 0000-0001-9329-4471
Andrew K ConnerDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.
Christen M O'NealDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.
Phillip A BonneyDepartment of Neurosurgery, University of Southern California, Miami, Florida.
Brian D MaxwellDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.
Cordell M BakerDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.
Joshua D BurksDepartment of Neurosurgery, Miami Miller School of Medicine, Los Angeles, California.
Goksel SaliDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.
Chad A GlennDepartment of Neurosurgery, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.
Michael E SughrueCenter for Minimally Invasive Neurosurgery, Prince of Wales Private Hospital, Sydney, NSW, Australia.
University of Oklahoma Health Sciences Center · USPrince of Wales Hospital · AUUniversity of Miami · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe dorsal attention network (DAN) is an important mediator of goal-directed attentional processing. Multiple cortical areas, such as the frontal eye fields, intraparietal sulcus, superior parietal lobule, and visual cortex, have been linked in this processing. However, knowledge of network connectivity has been devoid of structural specificity.

methodsUsing attention-related task-based fMRI studies, an anatomic likelihood estimation (ALE) of the DAN was generated. Regions of interest corresponding to the cortical parcellation scheme previously published under the Human Connectome Project were co-registered onto the ALE in MNI coordinate space and visually assessed for inclusion in the network. DSI-based fiber tractography was performed to determine the structural connections between relevant cortical areas comprising the network.

resultsTwelve cortical regions were found to be part of the DAN: 6a, 7AM, 7PC, AIP, FEF, LIPd, LIPv, MST, MT, PH, V4t, VIP. All regions demonstrated consistent u-shaped interconnections between adjacent parcellations. The superior longitudinal fasciculus connects the frontal, parietal, and occipital areas of the network.

conclusionsWe present a tractographic model of the DAN. This model comprises parcellations within the frontal, parietal, and occipital cortices principally linked through the superior longitudinal fasciculus. Future studies may refine this model with the ultimate goal of clinical application.

Indexed as

AttentionBrain MappingConnectomeDiffusion Tensor ImagingFrontal LobeFunctional NeuroimagingHumansMagnetic Resonance ImagingNeural PathwaysOccipital LobeParietal LobeVisual Cortexanatomyattentionparcellationtractography

Identifiers

PMID31536682
PMCPMC6790316
OpenAlexW2973318838

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LicenceCC BY
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Registered trials

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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.