Evidence map›Paper›PMID 39824710›Full record

ReviewTrends in neurosciences2025

Neocortical somatostatin neuron diversity in cognition and learning.

Eunsol Park, Matthew B Mosso, Alison L Barth

Abstract readReview
In one paragraph

Review in Trends in neurosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Cell-Type-Specific Synaptic Scaling Mechanisms Differentially Contribute to Associative Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Hippocampome.org, a resource for subicular neuron types and beyond.bioRxiv : the preprint server for biology · 2025
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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

3 authors.

Eunsol ParkDepartment of Biological Sciences and Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, USA.
Matthew B MossoDepartment of Biological Sciences and Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, USA.
Alison L BarthDepartment of Biological Sciences and Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, USA. Electronic address: barth@cmu.edu.

Funding

Determinants of sparse activity in neocortexR01NS123711 · NINDS · CARNEGIE-MELLON UNIVERSITY · PI ALISON L BARTH · 2022 to 2026
$2.5M
Synaptic plasticity in sensory learningR21NS127354 · NINDS · CARNEGIE-MELLON UNIVERSITY · PI BARTH, ALISON L · 2022 to 2022
$397k
NINDS NIH HHS R01 NS123711NINDS NIH HHS R21 NS127354
6 · The paper itself

Abstract

Somatostatin-expressing (SST) neurons are a major class of electrophysiologically and morphologically distinct inhibitory cells in the mammalian neocortex. Transcriptomic data suggest that this class can be divided into multiple subtypes that are correlated with morpho-electric properties. At the same time, availability of transgenic tools to identify and record from SST neurons in awake, behaving mice has stimulated insights about their response properties and computational function. Neocortical SST neurons are regulated by sleep and arousal, attention, and novelty detection, and show marked response plasticity during learning. Recent studies suggest that subtype-specific analysis of SST neurons may be critical for understanding their complex roles in cortical function. In this review, we discuss and synthesize recent advances in understanding the diversity, circuit integration, and functional properties of this important group of GABAergic neurons.

Indexed as

CognitionGABAergic NeuronsLearningNeocortexNeuronsSomatostatinAnimalsHumansSomatostatinbrain statesinhibitionlayer 1Martinottipredictive codingsensory processingsleep

Identifiers

PMID39824710
PMCPMC12668430

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.