Evidence map›Paper›PMID 31967926›Full record

ArticleJournal of neurophysiology2020

Postsynaptic integrative properties of dorsal CA1 pyramidal neuron subpopulations.

Arjun V Masurkar, Chengju Tian, Richard Warren, Isabel Reyes, Daniel C Lowes, David H Brann, Steven A Siegelbaum

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  6. Dendrite-Targeting Inhibitory Interneurons Form Biased Circuits with Deep and Superficial Pyramidal Cells in Hippocampal CA1.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  11. Development of Differential Sublaminar Feedforward Inhibitory Circuits in CA1 Hippocampus RequiresThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  12. Review
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  15. KCNQ2/3 Gain-of-Function Variants and Cell Excitability: Differential Effects in CA1 versus L2/3 Pyramidal Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
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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 3 institutions in 1 country.

Arjun V MasurkarCenter for Cognitive Neurology, Department of Neurology, New York University School of Medicine, New York, New York.
Chengju TianCenter for Cognitive Neurology, Department of Neurology, New York University School of Medicine, New York, New York.
Richard WarrenDepartment of Neuroscience, Columbia University, New York, New York.
Isabel ReyesCenter for Cognitive Neurology, Department of Neurology, New York University School of Medicine, New York, New York.
Daniel C LowesDepartment of Neuroscience, Columbia University, New York, New York.
David H BrannDepartment of Neuroscience, Columbia University, New York, New York.ORCID 0000-0001-8844-8886
Steven A SiegelbaumDepartment of Neuroscience, Columbia University, New York, New York.
Columbia University · USNew York University · USAllen Institute for Brain Science · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ANIRBAN MAITRA · 1985 to 2026
$83.1M
Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
Research Training in Late-Life NeuroPsychiatric DisordersT32MH020004 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Patrick J Brown · 1998 to 2026
$6.1M
Regulation of HCN channel trafficking and function in the brain by TRIP8bR01NS036658 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SIEGELBAUM, STEVEN A · 1998 to 2016
$4.5M
Howard Hughes Medical InstituteNCI NIH HHS P30 CA016087NIA NIH HHS P30 AG066512NIMH NIH HHS T32 MH020004NINDS NIH HHS R01 NS036658
6 · The paper itself

Abstract

The population activity of CA1 pyramidal neurons (PNs) segregates along anatomical axes with different behaviors, suggesting that CA1 PNs are functionally subspecialized based on somatic location. In dorsal CA1, spatial encoding is biased toward CA2 (CA1c) and in deep layers of the radial axis. In contrast, nonspatial coding peaks toward subiculum (CA1a) and in superficial layers. While preferential innervation by spatial vs. nonspatial input from entorhinal cortex (EC) may contribute to this specialization, it cannot fully explain the range of in vivo responses. Differences in intrinsic properties thus may play a critical role in modulating such synaptic input differences. In this study we examined the postsynaptic integrative properties of dorsal CA1 PNs in six subpopulations along the transverse (CA1c, CA1b, CA1a) and radial (deep, superficial) axes. Our results suggest that active and passive properties of deep and superficial neurons evolve over the transverse axis to promote the functional specialization of CA1c vs. CA1a as dictated by their cortical input. We also find that CA1b is not merely an intermediate mix of its neighbors, but uniquely balances low excitability with superior input integration of its mixed input, as may be required for its proposed role in sequence encoding. Thus synaptic input and intrinsic properties combine to functionally compartmentalize CA1 processing into at least three transverse axis regions defined by the processing schemes of their composite radial axis subpopulations.

Indexed as

AnimalsCA1 Region, HippocampalElectrophysiological PhenomenaMemoryMiceMice, Inbred C57BLPyramidal CellsSpatial MemoryCA1hippocampusintrinsic excitabilitypyramidal neuronsynaptic integration

Identifiers

PMID31967926
PMCPMC7099474
OpenAlexW3002890999

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.