Evidence map›Paper›PMID 38719802›Full record

ArticleNature communications2024

Spontaneous persistent activity and inactivity in vivo reveals differential cortico-entorhinal functional connectivity.

Krishna Choudhary, Sven Berberich, Thomas T G Hahn, James M McFarland, Mayank R Mehta

Abstract read
In one paragraph

Article in Nature communications, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Krishna ChoudharyDepartment of Physics and Astronomy, University of California, Los Angeles, Los Angeles, CA, USA.
Sven BerberichDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Thomas T G HahnZentralinstitut fur Seelische Gesundheit, Mannheim, Germany.
James M McFarlandDepartment of Physics, Brown University, Providence, RI, USA.
Mayank R MehtaDepartment of Physics and Astronomy, University of California, Los Angeles, Los Angeles, CA, USA. mayankmehta@ucla.edu.ORCID http://orcid.org/0000-0003-2005-2468

Funding

1/2 Cross modal integration of molecular and physiological networks in ASDU01MH115746 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H, MEHTA, MAYANK R · 2017 to 2021
$5.3M
CRCNS:Presistent Activity in the Entorhinal Cortex in VivoR01MH092925 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MEHTA, MAYANK R · 2010 to 2014
$910k
NIMH NIH HHS R01 MH092925NIMH NIH HHS U01 MH115746
6 · The paper itself

Abstract

Understanding the functional connectivity between brain regions and its emergent dynamics is a central challenge. Here we present a theory-experiment hybrid approach involving iteration between a minimal computational model and in vivo electrophysiological measurements. Our model not only predicted spontaneous persistent activity (SPA) during Up-Down-State oscillations, but also inactivity (SPI), which has never been reported. These were confirmed in vivo in the membrane potential of neurons, especially from layer 3 of the medial and lateral entorhinal cortices. The data was then used to constrain two free parameters, yielding a unique, experimentally determined model for each neuron. Analytic and computational analysis of the model generated a dozen quantitative predictions about network dynamics, which were all confirmed in vivo to high accuracy. Our technique predicted functional connectivity; e. g. the recurrent excitation is stronger in the medial than lateral entorhinal cortex. This too was confirmed with connectomics data. This technique uncovers how differential cortico-entorhinal dialogue generates SPA and SPI, which could form an energetically efficient working-memory substrate and influence the consolidation of memories during sleep. More broadly, our procedure can reveal the functional connectivity of large networks and a theory of their emergent dynamics.

Indexed as

Entorhinal CortexModels, NeurologicalNeuronsAnimalsComputer SimulationConnectomeMaleMembrane PotentialsMiceNerve NetNeural Pathways

Identifiers

PMID38719802
PMCPMC11079062

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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.