Evidence map›Paper›PMID 39345607›Full record

ArticlebioRxiv : the preprint server for biology2025

Predictive filtering of sensory response via orbitofrontal top-down input.

Hiroaki Tsukano, Michellee M Garcia, Pranathi R Dandu, Hiroyuki K Kato

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

4 authors.

Hiroaki TsukanoDepartment of Psychiatry, University of North Carolina at Chapel Hill; Chapel Hill, 27599, USA.ORCID 0000-0001-8511-7256
Michellee M GarciaDepartment of Psychiatry, University of North Carolina at Chapel Hill; Chapel Hill, 27599, USA.
Pranathi R DanduDepartment of Psychiatry, University of North Carolina at Chapel Hill; Chapel Hill, 27599, USA.
Hiroyuki K KatoDepartment of Psychiatry, University of North Carolina at Chapel Hill; Chapel Hill, 27599, USA.ORCID 0000-0002-5748-3221

Funding

Cellular Mechanisms of Auditory Information ProcessingR01DC019053 · NIDCD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MANIS, PAUL B · 2020 to 2024
$2.5M
Cortical circuits for temporal integration of multi-frequency soundsR01DC017516 · NIDCD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATO, HIROYUKI · 2019 to 2023
$1.8M
Cortical circuits for the integration of parallel short-latency auditory pathwaysRF1NS128873 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATO, HIROYUKI, MANIS, PAUL B · 2022 to 2022
$1.5M
Cortical circuits for the integration of parallel short-latency auditory pathwaysR01NS128873 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MICHAEL Robert KASTEN, Hiroyuki Kato · 2025 to 2026
$938k
NIDCD NIH HHS R01 DC017516NIDCD NIH HHS R01 DC019053NINDS NIH HHS R01 NS128873NINDS NIH HHS RF1 NS128873
6 · The paper itself

Abstract

Habituation is a crucial sensory filtering mechanism whose dysregulation can lead to a continuously intense world in disorders with sensory overload. While habituation is considered to require top-down predictive signaling to suppress irrelevant inputs, the exact brain loci storing the internal predictive model and the circuit mechanisms of sensory filtering remain unclear. We found that daily neural habituation in the primary auditory cortex (A1) was reversed by inactivation of the orbitofrontal cortex (OFC). Top-down projections from the ventrolateral OFC, but not other frontal areas, carried predictive signals that grew with daily sound experience and suppressed A1 via somatostatin-expressing inhibitory neurons. Thus, prediction signals from the OFC cancel out behaviorally irrelevant anticipated stimuli by generating their "negative images" in sensory cortices.

Identifiers

PMID39345607
PMCPMC11429993

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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.