Evidence map›Paper›PMID 26400938›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015

Interareal Spike-Train Correlations of Anterior Cingulate and Dorsal Prefrontal Cortex during Attention Shifts.

Mariann Oemisch, Stephanie Westendorff, Stefan Everling, Thilo Womelsdorf

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

36 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Input-dependent directionality of interactions between cortical areas.bioRxiv : the preprint server for biology · 2026
    Article
  3. Extracellular Spike Waveforms: Morphology, Biophysics, and Classification Strategies.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Review
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  11. Priority coding in the visual system.Nature reviews. Neuroscience · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Mariann OemischDepartment of Biology, Centre for Vision Research, York University, Toronto, Ontario M6J 1P3, Canada and moemisch@yorku.ca thiwom@yorku.ca.
Stephanie WestendorffDepartment of Biology, Centre for Vision Research, York University, Toronto, Ontario M6J 1P3, Canada and.
Stefan EverlingDepartment of Physiology and Pharmacology, Centre for Functional and Metabolic Mapping, Western University, Ontario N6A 5B7, Canada.
Thilo WomelsdorfDepartment of Biology, Centre for Vision Research, York University, Toronto, Ontario M6J 1P3, Canada and moemisch@yorku.ca thiwom@yorku.ca.ORCID http://orcid.org/0000-0001-6921-4187
York University · CAWestern University · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

The anterior cingulate cortex (ACC) and prefrontal cortex (PFC) are believed to coactivate during goal-directed behavior to identify, select, and monitor relevant sensory information. Here, we tested whether coactivation of neurons across macaque ACC and PFC would be evident at the level of pairwise neuronal correlations during stimulus selection in a spatial attention task. We found that firing correlations emerged shortly after an attention cue, were evident for 50-200 ms time windows, were strongest for neuron pairs in area 24 (ACC) and areas 8 and 9 (dorsal PFC), and were independent of overall firing rate modulations. For a subset of cell pairs from ACC and dorsal PFC, the observed functional spike-train connectivity carried information about the direction of the attention shift. Reliable firing correlations were evident across area boundaries for neurons with broad spike waveforms (putative excitatory neurons) as well as for pairs of putative excitatory neurons and neurons with narrow spike waveforms (putative interneurons). These findings reveal that stimulus selection is accompanied by slow time scale firing correlations across those ACC/PFC subfields implicated to control and monitor attention. This functional coupling was informative about which stimulus was selected and thus indexed possibly the exchange of task-relevant information. We speculate that interareal, transient firing correlations reflect the transient coordination of larger, reciprocally interacting brain networks at a characteristic 50-200 ms time scale. Significance statement: Our manuscript identifies interareal spike-train correlations between primate anterior cingulate and dorsal prefrontal cortex during a period where attentional stimulus selection is likely controlled by these very same circuits. Interareal correlations emerged during the covert attention shift to one of two peripheral stimuli, proceeded on a slow 50-200 ms time scale, and occurred between putative pyramidal and putative interneurons. Spike-train correlations emerged particularly for cell pairs tuned to similar contralateral target locations, thus indexing the interareal coordination of attention-relevant information. These findings characterize a possible way by which prefrontal and anterior cingulate cortex circuits implement their control functions through coordinated firing when macaque monkeys select and monitor relevant stimuli for goal-directed behaviors.

Indexed as

Action PotentialsAnalysis of VarianceAnimalsAttentionCuesEye MovementsGyrus CinguliMacaca mulattaMaleNerve NetNeuronsPhotic StimulationPrefrontal CortexPrincipal Component AnalysisRewardStatistics as Topicanterior cingulateattentionbrain networkscorrelationprefrontal cortexsynchronization

Identifiers

PMID26400938
PMCPMC6605436
OpenAlexW1424592256

What OpenQuestion holds

Textmetadata
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.