Evidence map›Paper›PMID 36718998›Full record

ArticleeLife2023

Interacting rhythms enhance sensitivity of target detection in a fronto-parietal computational model of visual attention.

Amélie Aussel, Ian C Fiebelkorn, Sabine Kastner, Nancy J Kopell, Benjamin Rafael Pittman-Polletta

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Neural Dynamics in Extrastriate Cortex Underlying False Alarms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. Attention control in the primate brain.Current opinion in neurobiology · 2022
    Review
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.

Amélie AusselCognitive Rhythms Collaborative, Boston University, Boston, United States.ORCID 0000-0003-0498-2905
Ian C FiebelkornDepartment of Neuroscience and Del Monte Institute for Neuroscience, University of Rochester Medical Center, University of Rochester, Rochester, United States.
Sabine KastnerPrinceton Neuroscience Institute, Princeton University, Princeton, United States.ORCID 0000-0002-9742-965X
Nancy J Kopell *Cognitive Rhythms Collaborative, Boston University, Boston, United States.
Benjamin Rafael Pittman-Polletta *Cognitive Rhythms Collaborative, Boston University, Boston, United States.ORCID 0000-0002-6798-7191

Funding

Project 5: ComputationalP50MH109429 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI Michael Peter Milham · 2017 to 2026
$25.3M
Thalamocortical cognitive networks in the healthy human brainP50MH132642 · NIMH · PRINCETON UNIVERSITY · PI SABINE KASTNER · 2023 to 2026
$15.7M
Functions of the Thalamus in Perception and CognitionR01EY017699 · NEI · PRINCETON UNIVERSITY · PI SABINE KASTNER · 2007 to 2026
$6.4M
Neural mechanisms of attentionR01MH064043 · NIMH · PRINCETON UNIVERSITY · PI KASTNER, SABINE, KNIGHT, ROBERT THOMAS · 2002 to 2020
$5.2M
NEI NIH HHS R01 EY017699NIMH NIH HHS P50 MH109429NIMH NIH HHS P50 MH132642NIMH NIH HHS R01 MH064043
6 · The paper itself

Abstract

Even during sustained attention, enhanced processing of attended stimuli waxes and wanes rhythmically, with periods of enhanced and relatively diminished visual processing (and subsequent target detection) alternating at 4 or 8 Hz in a sustained visual attention task. These alternating attentional states occur alongside alternating dynamical states, in which lateral intraparietal cortex (LIP), the frontal eye field (FEF), and the mediodorsal pulvinar (mdPul) exhibit different activity and functional connectivity at α, β, and γ frequencies-rhythms associated with visual processing, working memory, and motor suppression. To assess whether and how these multiple interacting rhythms contribute to periodicity in attention, we propose a detailed computational model of FEF and LIP. When driven by θ-rhythmic inputs simulating experimentally-observed mdPul activity, this model reproduced the rhythmic dynamics and behavioral consequences of observed attentional states, revealing that the frequencies and mechanisms of the observed rhythms allow for peak sensitivity in visual target detection while maintaining functional flexibility.

Indexed as

Cerebral CortexVisual PerceptionFrontal LobePeriodicityPhotic StimulationTheta Rhythmactive sensingbeta rhythmgamma rhythmhumanneuroscienceoscillationspulvinarrhesus macaquerhythmic attention

Identifiers

PMID36718998
PMCPMC10129332

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.