Evidence map›Paper›PMID 40587804›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Patchy harmonic functional connectivity of the mouse auditory cortex.

Peter Jendrichovsky, Sahar Khosravi, Anuththara Rupasinghe, Katherine Maximov, Pinyue Guo, Behtash Babadi, Patrick O Kanold

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Deriving functional network topology frombioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Patchy harmonic functional connectivity of the mouse auditory cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

7 authors.

Peter Jendrichovsky *Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205.
Sahar Khosravi *Department of Electrical & Computer Engineering, University of Maryland, College Park, MD 20742.ORCID 0000-0003-1342-4956
Anuththara Rupasinghe *Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540.
Katherine MaximovDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205.
Pinyue GuoDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205.
Behtash Babadi *Department of Electrical & Computer Engineering, University of Maryland, College Park, MD 20742.ORCID 0000-0002-9856-006X
Patrick O Kanold *Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205.ORCID 0000-0002-7529-5435

Funding

Readout and control of spatiotemporal neuronal codes for behaviorU19NS107464 · NINDS · UNIVERSITY OF CHICAGO · PI KANOLD, PATRICK O · 2018 to 2022
$17.3M
Dynamic processing of sound in auditory cortexR01DC017785 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI KANOLD, PATRICK O · 2021 to 2025
$2.7M
HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) U19NS107464HHS | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) RO1DC017785National Science Foundation (NSF) ECCS2032649National Science Foundation (NSF) OISE2020624NIDCD NIH HHS R01 DC017785NINDS NIH HHS U19 NS107464
6 · The paper itself

Abstract

Analyzing the functional connectivity of the brain is an enormous challenge, as deciphering functional connectivity requires knowledge of functional responses and connections. One promising strategy is analyzing the spatial pattern of activity correlations across cell populations. In the primary auditory cortex (A1), cells respond to different sound features. On the large scale, there exists a tonotopic map, which is fractured at the small scale, raising the question of whether functional connections are spatially ordered or disordered. To test whether functional connectivity on a local and a global scale is also disordered, we first designed a robust statistical model to estimate parameters and test for the significance of the estimated correlation maps. We developed an inference method that allows efficient model fitting and statistical testing to project the correlation maps to 2D space. We then performed in vivo two-photon calcium imaging in layer 2/3 of A1 with pure tones (PT) or a combination of two tones (TT; harmonically related or not). We found that the spatial patterns of signal correlations (SCs) depend on the type of sound stimuli that were presented. The functional 2D maps of PT-driven SCs are more restricted to local neurons than TT signal correlations which showed more global textures. 2D SC patterns for harmonic stimuli showed spatially distinct relationships. TT SCs revealed spatially precise functional connectivity between harmonically related neurons. Thus, even though the frequency preference of neighboring neurons in A1 is functionally diverse, the functional connection pattern of these neurons is functionally precise and harmonically related.

Indexed as

Auditory CortexAcoustic StimulationAnimalsAuditory PerceptionBrain MappingMaleMiceModels, NeurologicalNeuronsauditory cortexmodelsignal correlationsimulationspatial pattern

Identifiers

PMID40587804
PMCPMC12260567

What OpenQuestion holds

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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.