Evidence map›Paper›PMID 41991324›Full record

ArticleeNeuro2026

Postnatal Development of Pyramidal Neurons Excitability and Synaptic Inputs in Mouse Gustatory Cortical Circuits.

Hillary Schiff, Arianna Maffei

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

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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

5 · Who and what money

Authors and funding

2 authors.

Hillary SchiffDepartment of Neurobiology and Behavior, Stony Brook University, Stony Brook, New York 11794 schiff.119@osu.edu arianna.maffei@stonybrook.edu.
Arianna MaffeiDepartment of Neurobiology and Behavior, Stony Brook University, Stony Brook, New York 11794 schiff.119@osu.edu arianna.maffei@stonybrook.edu.ORCID 0000-0001-6755-8904

Funding

Synaptic organization and plasticity of the input from the basolateral amygdala tR01DC013770 · NIDCD · STATE UNIVERSITY NEW YORK STONY BROOK · PI Alfredo Fontanini, Arianna Maffei · 2014 to 2026
$4.6M
Cortical mechanisms for the postnatal development of taste preference.R01DC019827 · NIDCD · STATE UNIVERSITY NEW YORK STONY BROOK · PI MAFFEI, ARIANNA · 2021 to 2025
$2.4M
NIDCD NIH HHS R01 DC013770NIDCD NIH HHS R01 DC019827
6 · The paper itself

Abstract

Cortical neurons in sensory areas undergo a protracted process of postnatal maturation that includes changes in membrane properties, synaptic drive, and connectivity. The completion of this process is associated with the closure of critical periods for experience-dependent plasticity in visual, auditory, and somatosensory cortices. Whether these findings extend to the postnatal development of cortical circuits for taste is currently unknown. Taste receptor cells in the taste buds reliably fire action potentials in response to taste stimuli by the third postnatal week and show extended refinement of membrane excitability into adulthood. Taste responsive neurons in the nucleus of the solitary tract show reorganization of peripheral nerve terminals (NTS) over a timeline comparable to taste buds. However, no study to date investigated the postnatal development of neurons in the gustatory cortex (GC). Here, we focused on pyramidal neurons in the deep layers of GC in acute slices from male and female mice and compared their membrane properties from the third to the eighth postnatal week. We report changes in intrinsic excitability and a shift of the excitation/inhibition (E/I) balance toward inhibition as pyramidal neurons reach their young adult properties. The increase in inhibitory drive accompanied a protracted process of postnatal maturation of inhibitory circuits mediated by parvalbumin-expressing neurons (PV

Indexed as

Cerebral CortexPyramidal CellsSynapsesTasteAction PotentialsAnimalsAnimals, NewbornFemaleMaleMiceMice, Inbred C57BLMice, TransgenicNeural InhibitionNeurodevelopmentParvalbuminsPerineuronal NetsParvalbuminsdevelopmentexcitabilityGABAAinsular cortexparvalbumintaste

Identifiers

PMID41991324
PMCPMC13124029

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.