Evidence map›Paper›PMID 41446147›Full record

ArticlebioRxiv : the preprint server for biology2025

Multi-timescale Rhythmic Dynamics in Rostral Ventromedial Medulla Neurons.

Carl Ashworth, Melissa Martenson, Zhigang Shi, Caitlynn C De Preter, Mary Heinricher, Flavia Mancini

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

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

6 authors.

Carl AshworthComputational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID 0009-0003-3532-0274
Melissa MartensonDepartment of Neurological Surgery, Oregon Health & Science University, Portland, United States of America.
Zhigang ShiDepartment of Neurological Surgery, Oregon Health & Science University, Portland, United States of America.ORCID 0000-0002-5828-1904
Caitlynn C De PreterDepartment of Neurological Surgery, Oregon Health & Science University, Portland, United States of America.ORCID 0000-0002-6499-5372
Mary HeinricherDepartment of Neurological Surgery, Oregon Health & Science University, Portland, United States of America.
Flavia ManciniComputational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-8441-9236

Funding

Understanding multisensory hypersensitivity in chronic pain statesR37NS098660 · NINDS · OREGON HEALTH & SCIENCE UNIVERSITY · PI HEINRICHER, MARY MAGDALEN · 2017 to 2023
$2.6M
Defining the descending pain modulatory circuitR01NS120486 · NINDS · UNIVERSITY OF COLORADO DENVER · PI HEINRICHER, MARY MAGDALEN, INGRAM, SUSAN L · 2021 to 2025
$2.5M
Direct and Indirect Nociceptive Inputs to Brainstem Pain-Modulating NeuronsF31DE030677 · NIDCR · OREGON HEALTH & SCIENCE UNIVERSITY · PI DE PRETER, CAITLYNN · 2021 to 2024
$145k
NIDCR NIH HHS F31 DE030677NINDS NIH HHS R01 NS120486NINDS NIH HHS R37 NS098660
6 · The paper itself

Abstract

Neural circuits involved in sensory control must integrate fast, reflexive responses with slower, state-dependent modulation. This coordination is especially critical in the pain system, where rapid withdrawal must be balanced against slower adjustments in nociceptive sensitivity that reflect arousal, physiology, and internal state. We hypothesized that neurons of the rostral ventromedial medulla (RVM)-the principal brainstem node for descending pain control-operate across multiple temporal scales, combining fast stimulus-evoked responses with slower intrinsic dynamics. Using single-unit recordings from identified RVM ON-, OFF-, and NEUTRAL-cells and probabilistic modeling, we find that ON- and OFF-cells exhibit multi-phase population responses characterized by rapid activation and prolonged recovery dynamics lasting tens of seconds. In the absence of stimulation, the same neurons display coherent, quasi-periodic oscillations on the order of minutes, captured by Gaussian process models as predictable, low-frequency fluctuations. These rhythmic dynamics were specific to ON- and OFF-cells and occasionally coherent with autonomic parameters, suggesting coupling between nociceptive and homeostatic control loops. Together, these results identify a multi-timescale organizational principle within descending brainstem circuits, in which fast, reflex-related and slow, rhythmic processes jointly structure sensory modulation and internal state control.

Identifiers

PMID41446147
PMCPMC12724712

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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.