Evidence map›Paper›PMID 36745683›Full record

ArticlePLoS biology2023

HCN channels at the cell soma ensure the rapid electrical reactivity of fast-spiking interneurons in human neocortex.

Viktor Szegedi, Emőke Bakos, Szabina Furdan, Bálint H Kovács, Dániel Varga, Miklós Erdélyi, Pál Barzó, Attila Szücs, Gábor Tamás, Karri Lamsa

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2023. 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
4.4field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  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

10 authors at 2 institutions in 1 country.

Viktor SzegediDepartment of Physiology, Anatomy and Neuroscience, University of Szeged, Szeged, Hungary.ORCID 0000-0003-4191-379X
Emőke BakosDepartment of Physiology, Anatomy and Neuroscience, University of Szeged, Szeged, Hungary.
Szabina FurdanDepartment of Physiology, Anatomy and Neuroscience, University of Szeged, Szeged, Hungary.
Bálint H KovácsDepartment of Optics and Quantum Electronics, University of Szeged, Szeged, Hungary.
Dániel VargaDepartment of Optics and Quantum Electronics, University of Szeged, Szeged, Hungary.
Miklós ErdélyiDepartment of Optics and Quantum Electronics, University of Szeged, Szeged, Hungary.
Pál BarzóDepartment of Neurosurgery, University of Szeged, Szeged, Hungary.
Attila SzücsHungarian Centre of Excellence for Molecular Medicine Research Group for Human neuron physiology and therapy, Szeged, Hungary.
Gábor TamásMTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy and Neuroscience, University of Szeged, Szeged, Hungary.
Karri LamsaDepartment of Physiology, Anatomy and Neuroscience, University of Szeged, Szeged, Hungary.
University of Szeged · HUEötvös Loránd University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence indicates that there are substantial species differences in the properties of mammalian neurons, yet theories on circuit activity and information processing in the human brain are based heavily on results obtained from rodents and other experimental animals. This knowledge gap may be particularly important for understanding the neocortex, the brain area responsible for the most complex neuronal operations and showing the greatest evolutionary divergence. Here, we examined differences in the electrophysiological properties of human and mouse fast-spiking GABAergic basket cells, among the most abundant inhibitory interneurons in cortex. Analyses of membrane potential responses to current input, pharmacologically isolated somatic leak currents, isolated soma outside-out patch recordings, and immunohistochemical staining revealed that human neocortical basket cells abundantly express hyperpolarization-activated cyclic nucleotide-gated cation (HCN) channel isoforms HCN1 and HCN2 at the cell soma membrane, whereas these channels are sparse at the rodent basket cell soma membrane. Antagonist experiments showed that HCN channels in human neurons contribute to the resting membrane potential and cell excitability at the cell soma, accelerate somatic membrane potential kinetics, and shorten the lag between excitatory postsynaptic potentials and action potential generation. These effects are important because the soma of human fast-spiking neurons without HCN channels exhibit low persistent ion leak and slow membrane potential kinetics, compared with mouse fast-spiking neurons. HCN channels speed up human cell membrane potential kinetics and help attain an input-output rate close to that of rodent cells. Computational modeling demonstrated that HCN channel activity at the human fast-spiking cell soma membrane is sufficient to accelerate the input-output function as observed in cell recordings. Thus, human and mouse fast-spiking neurons exhibit functionally significant differences in ion channel composition at the cell soma membrane to set the speed and fidelity of their input-output function. These HCN channels ensure fast electrical reactivity of fast-spiking cells in human neocortex.

Indexed as

NeocortexAnimalsCyclic Nucleotide-Gated Cation ChannelsHumansHyperpolarization-Activated Cyclic Nucleotide-Gated ChannelsInterneuronsMammalsMiceNeuronsCyclic Nucleotide-Gated Cation ChannelsHyperpolarization-Activated Cyclic Nucleotide-Gated Channels

Identifiers

PMID36745683
PMCPMC9934405
OpenAlexW4319293960

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.