Evidence map›Paper›PMID 34428795›Full record

ArticleJournal of cognitive neuroscience2021

The Microstructure of Attentional Control in the Dorsal Attention Network.

Abhijit Rajan, Sreenivasan Meyyappan, Yuelu Liu, Immanuel Babu Henry Samuel, Bijurika Nandi, George R Mangun, Mingzhou Ding

Abstract read
In one paragraph

Article in Journal of cognitive neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Longitudinal Changes in Infant Attention-Related Brain Networks and Fearful Temperament.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Hierarchical Organization of Human Visual Feature Attention Control.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  11. Article
  12. Article
  13. Effects of different modalities of transcranial magnetic stimulation on post-stroke cognitive impairment: a network meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Role of Inferior Frontal Junction (IFJ) in the Control of Feature versus Spatial Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    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

7 authors.

Abhijit RajanUniversity of Florida, Gainesville.
Sreenivasan MeyyappanUniversity of Florida, Gainesville.
Yuelu LiuUniversity of California, Davis.
Immanuel Babu Henry SamuelUniversity of Florida, Gainesville.
Bijurika NandiUniversity of Florida, Gainesville.
George R MangunUniversity of California, Davis.
Mingzhou DingUniversity of Florida, Gainesville.

Funding

Mechanisms of attentional control: Structure and dynamics from simultaneous EEG-fMRI and machine learningR01MH117991 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DING, MINGZHOU, MANGUN, GEORGE R · 2018 to 2022
$2.7M
NIMH NIH HHS MH117991NIMH NIH HHS R01 MH117991
6 · The paper itself

Abstract

The top-down control of attention involves command signals arising chiefly in the dorsal attention network (DAN) in frontal and parietal cortex and propagating to sensory cortex to enable the selective processing of incoming stimuli based on their behavioral relevance. Consistent with this view, the DAN is active during preparatory (anticipatory) attention for relevant events and objects, which, in vision, may be defined by different stimulus attributes including their spatial location, color, motion, or form. How this network is organized to support different forms of preparatory attention to different stimulus attributes remains unclear. We propose that, within the DAN, there exist functional microstructures (patterns of activity) specific for controlling attention based on the specific information to be attended. To test this, we contrasted preparatory attention to stimulus location (spatial attention) and to stimulus color (feature attention), and used multivoxel pattern analysis to characterize the corresponding patterns of activity within the DAN. We observed different multivoxel patterns of BOLD activation within the DAN for the control of spatial attention (attending left vs. right) and feature attention (attending red vs. green). These patterns of activity for spatial and feature attentional control showed limited overlap with each other within the DAN. Our findings thus support a model in which the DAN has different functional microstructures for distinctive forms of top-down control of visual attention.

Indexed as

Brain MappingFrontal LobeHumansMagnetic Resonance ImagingParietal Lobe

Identifiers

PMID34428795
PMCPMC8815299

What OpenQuestion holds

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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.