Evidence map›Paper›PMID 38712105›Full record

ArticlebioRxiv : the preprint server for biology2024

Perpetual step-like restructuring of hippocampal circuit dynamics.

Zheyang Sam Zheng, Roman Huszár, Thomas Hainmueller, Marlene Bartos, Alex Williams, György Buzsáki

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Zheyang Sam ZhengCenter for Neural Science, New York University, New York, NY, USA.
Roman HuszárCenter for Neural Science, New York University, New York, NY, USA.ORCID 0000-0002-8426-8308
Thomas HainmuellerDepartment of Psychiatry, NYU Grossman School of Medicine, New York University, New York, NY, USA.ORCID 0000-0002-7824-5927
Marlene BartosInstitute for Physiology I, University of Freiburg, Medical Faculty, 79104 Freiburg, Germany.ORCID 0000-0001-9741-1946
Alex WilliamsCenter for Neural Science, New York University, New York, NY, USA.ORCID 0000-0001-5853-103X
György BuzsákiNeuroscience Institute, New York University, New York, NY, USA.ORCID 0000-0002-3100-4800

Funding

U19 Supplement 2023-FroemkeU19NS107616 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Adam Christopher Mar · 2018 to 2026
$36.4M
Transformation of Neuronal Activity in the Entorhinal-hippocampal-neocortex PathR01MH122391 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BASU, JAYEETA, BUZSAKI, GYORGY · 2020 to 2024
$3.3M
NIMH NIH HHS R01 MH122391NINDS NIH HHS U19 NS107616
6 · The paper itself

Abstract

Representation of the environment by hippocampal populations is known to drift even within a familiar environment, which could reflect gradual changes in single cell activity or result from averaging across discrete switches of single neurons. Disambiguating these possibilities is crucial, as they each imply distinct mechanisms. Leveraging change point detection and model comparison, we found that CA1 population vectors decorrelated gradually within a session. In contrast, individual neurons exhibited predominantly step-like emergence and disappearance of place fields or sustained change in within-field firing. The changes were not restricted to particular parts of the maze or trials and did not require apparent behavioral changes. The same place fields emerged, disappeared, and reappeared across days, suggesting that the hippocampus reuses pre-existing assemblies, rather than forming new fields

Indexed as

change point detectionplace fieldsplasticityquantal changerepresentational drift

Identifiers

PMID38712105
PMCPMC11071370

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.