Evidence map›Paper›PMID 42427773›Full record

ArticlebioRxiv : the preprint server for biology2026

Distinct goal location beta frequency dynamics in hippocampus and prefrontal cortex across learning.

Glingna Wang, Nan Zhou, Zachary M Leveroni, Pinar Toptas, Audrey E Kaye, Jaquelin Gutierrez, Amanda Rodriguez-Leon, Jai Y Yu

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

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

8 authors.

Glingna WangPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois, 60637.
Nan ZhouDepartment of Psychology, University of Chicago, Chicago, Illinois, 60637.
Zachary M LeveroniDepartment of Psychology, University of Chicago, Chicago, Illinois, 60637.
Pinar ToptasDepartment of Psychology, University of Chicago, Chicago, Illinois, 60637.
Audrey E KayeNeuroscience Institute, University of Chicago, Chicago, Illinois, 60637.
Jaquelin GutierrezBiological Sciences Division, University of Chicago, Chicago, Illinois, 60637.
Amanda Rodriguez-LeonBiological Sciences Division, University of Chicago, Chicago, Illinois, 60637.
Jai Y YuDepartment of Psychology, University of Chicago, Chicago, Illinois, 60637.ORCID 0000-0003-0628-2531

Funding

UNIVERSITY OF CHICAGO PREPR25GM066522 · NIGMS · UNIVERSITY OF CHICAGO · PI CARRILLO, ROBERT ARNULFO, RANDALL, GLENN C · 2004 to 2024
$6.7M
University of Chicago Neuroscience Early Stage Scientist Training ProgramR25NS117360 · NINDS · UNIVERSITY OF CHICAGO · PI MASON, PEGGY, SCHWARTZ, NANCY B · 2020 to 2024
$1.3M
NIGMS NIH HHS R25 GM066522NINDS NIH HHS R25 NS117360
6 · The paper itself

Abstract

Neural activity at goal locations contributes to learning by providing feedback on the success of preceding actions. This period engages neocortical and hippocampal networks, which serve distinct functions in reward processing and in forming associations between experience and reward. A neocortical network signature for reward feedback processing is beta oscillations (15-30 Hz). Beta oscillations are thought to coordinate distributed neural processes across brain regions. However, it is unknown whether beta oscillations coordinate hippocampal-neocortical networks during the goal period, or how their dynamics relate to learning. Here, we show that beta oscillations occur in both hippocampal CA1 and the prefrontal cortex (PFC) when rats reach goal locations in spatial navigation tasks. Despite the presence of beta oscillations in both regions after goal entry, beta activity in each region differed in spectral and temporal properties. These differences suggest that the hippocampus and PFC are weakly coupled at the beta frequency. We found that across learning, the strengths of PFC and CA1 beta oscillations were inversely related: PFC beta power increased and CA1 beta power decreased. Beta burst properties in PFC also had an inverse relationship to those of hippocampal sharp wave-ripples (SWRs), a prominent hippocampal process required for learning. We found a subset of PFC neurons modulated by both beta and hippocampal SWRs, which had distinct task-related firing patterns. Our results suggest that during outcome processing at goal locations, the neocortex and hippocampus are locally modulated at the beta frequency and then become coordinated for memory-related processes during SWRs.

Identifiers

PMID42427773
PMCPMC13345080

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LicenceCC BY-NC-ND
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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.