Evidence map›Paper›PMID 34903668›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Theta activity paradoxically boosts gamma and ripple frequency sensitivity in prefrontal interneurons.

Ricardo Martins Merino, Carolina Leon-Pinzon, Walter Stühmer, Martin Möck, Jochen F Staiger, Fred Wolf, Andreas Neef

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Dynamic Gain Decomposition Reveals Functional Effects of Dendrites, Ion Channels, and Input Statistics in Population Coding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    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

7 authors at 2 institutions in 1 country.

Ricardo Martins MerinoMax Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany.ORCID 0000-0002-1085-7986
Carolina Leon-PinzonMax Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany.ORCID 0000-0001-5202-4424
Walter StühmerBernstein Center for Computational Neuroscience, Göttingen 37073, Germany.
Martin MöckInstitute for Neuroanatomy, University Medical Center Göttingen, University of Göttingen, Göttingen 37075, Germany.ORCID 0000-0002-0379-0533
Jochen F StaigerInstitute for Neuroanatomy, University Medical Center Göttingen, University of Göttingen, Göttingen 37075, Germany.ORCID 0000-0001-5694-9723
Fred WolfMax Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany.ORCID 0000-0002-7068-3762
Andreas NeefMax Planck Institute for Dynamics and Self-Organization, Göttingen 37077, Germany; aneef@gwdg.de.ORCID 0000-0003-4445-7478
Bernstein Center for Computational Neuroscience Göttingen · DEUniversitätsmedizin Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fast oscillations in cortical circuits critically depend on GABAergic interneurons. Which interneuron types and populations can drive different cortical rhythms, however, remains unresolved and may depend on brain state. Here, we measured the sensitivity of different GABAergic interneurons in prefrontal cortex under conditions mimicking distinct brain states. While fast-spiking neurons always exhibited a wide bandwidth of around 400 Hz, the response properties of spike-frequency adapting interneurons switched with the background input's statistics. Slowly fluctuating background activity, as typical for sleep or quiet wakefulness, dramatically boosted the neurons' sensitivity to gamma and ripple frequencies. We developed a time-resolved dynamic gain analysis and revealed rapid sensitivity modulations that enable neurons to periodically boost gamma oscillations and ripples during specific phases of ongoing low-frequency oscillations. This mechanism predicts these prefrontal interneurons to be exquisitely sensitive to high-frequency ripples, especially during brain states characterized by slow rhythms, and to contribute substantially to theta-gamma cross-frequency coupling.

Indexed as

AnimalsFemaleGamma RhythmInterneuronsMaleMiceNerve NetPatch-Clamp TechniquesPrefrontal CortexTheta Rhythmcross-frequency couplingdynamic gaininformation encodinginterneuron

Identifiers

PMID34903668
PMCPMC8713793
OpenAlexW4225777561

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.