Evidence map›Paper›PMID 42230149›Full record

ArticleeNeuro2026

Electrical Coupling within Thalamocortical Networks Cumulatively Reduces Cortical Correlation to Sensory Inputs.

Austin J Mendoza, Julie S Haas

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.

Austin J MendozaDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania 18015.
Julie S HaasDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania 18015 julie.haas@lehigh.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thalamocortical (TC) cells relay sensory information to the cortex as well as driving their own feedback inhibition through collateral excitation of the thalamic reticular nucleus (TRN). Inhibitory TRN cells are extensively coupled through electrical synapses. While electrical synapses are most often noted for synchronizing rhythmic forms of neuronal activity, their modulation of transient neuronal signals is less understood. Here we sought to characterize how electrical synapses embedded within a network of TRN neurons regulate the processing of ongoing sensory inputs during relay from thalamus to cortex. We constructed a thalamocortical network consisting of reciprocally connected Hodgkin-Huxley-style TC and TRN cells and one cortical output cell summing the TC activity. TRN cells were each electrically coupled to two neighboring cells, forming a ring topology. TC cells received synaptic inputs in sequence, with inputs separated by 10-50 ms, allowing us to assess the functional radius of an electrical synapse by comparing the cumulative effects of each additional TRN electrical synapse on responses within the network. Electrical synapse strength altered both TRN and TC spike response rates and latencies with each additional electrical synapse. Coupling within TRN modulated cortical integration of TC inputs by unexpectedly increasing response rates, duration, and reducing spike correlation to the input sequence that was presented to the TC layer. Thus, embedded TRN electrical synapses exert powerful influence on thalamocortical relay, highlighting the multisynaptic influences of electrically coupled cells on more complex and realistic networks of the brain.

Indexed as

Cerebral CortexElectrical SynapsesNeuronsThalamic NucleiThalamusAction PotentialsAnimalsModels, NeurologicalNeural Pathwayscortexelectrical synapsegap junctionthalamic reticular nucleusthalamocorticalthalamus

Identifiers

PMID42230149
PMCPMC13271814

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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.