Evidence map›Paper›PMID 42552110›Full record

ArticleeNeuro2026

I Can't Hear You Both at the Same Time: A Temporal Dilemma During Inter-Regional Communication.

Salil Bhat, Sanne Ten Oever

Abstract read
In one paragraph

Article in eNeuro, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Salil BhatDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6229EV, The Netherlands salil.bhat@maastrichtuniversity.nl.ORCID https://orcid.org/0000-0003-4271-6309
Sanne Ten OeverDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht 6229EV, The Netherlands.ORCID https://orcid.org/0000-0001-7547-5842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive functioning depends on the brain's ability to process sensory information and simultaneously integrate contextual feedback from higher-order regions like the prefrontal cortex (PFC). This requires the sensory cortex (SC) to handle both processes simultaneously. Some phase-coupled oscillator models propose that the scaffolding of neuronal communication occurs via oscillatory coupling of low-frequency oscillations. However, it is often neglected that processing this bidirectional input poses serious temporal constraints on the system. Specifically, is it possible for SC to be coupled to PFC, while at the same time being coupled to the sensory input? In this article, we describe the temporal constraints required to simultaneously process feedforward and feedback information through oscillatory coupling. We adopt a dynamical systems perspective to suggest mechanisms by which phase-coupled oscillator models can achieve optimal temporal dynamics for neural communication while accounting for these temporal constraints. Although initially counterintuitive, our proposed framework indicates that any viable solution of bidirectional phase-based coupling inherently relies on the feedforward scaffolding of neuronal communication. The mechanisms proposed here may generalize to other situations in which brain areas need to cope with bidirectional feedforward and feedback interactions while maintaining phase coupling.

Indexed as

BrainModels, NeurologicalNeuronsAnimalsFeedback, PhysiologicalHumansNeural PathwaysTime Factorsinter-area communicationneural oscillationsoptimal couplingsynchronization

Identifiers

PMID42552110
PMCPMC13555238

What OpenQuestion holds

Textmetadata
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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.