Evidence map›Paper›PMID 39892775›Full record

ArticleJournal of theoretical biology2025

Tradeoffs in the energetic value of neuromodulation in a closed-loop neuromechanical system.

Zhuojun Yu, Yangyang Wang, Peter J Thomas, Hillel J Chiel

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Zhuojun YuDepartment of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, Cleveland, OH 44106, USA; Department of Psychology & Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA. Electronic address: zhuojuny@andrew.cmu.edu.
Yangyang WangDepartment of Mathematics, Brandeis University, Waltham, MA 02453, USA.
Peter J ThomasDepartment of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, Cleveland, OH 44106, USA.
Hillel J ChielDepartment of Biology, Department of Neuroscience, and Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.

Funding

A novel approach to analyzing functional connectomics and combinatorial control in a tractable small-brain closed-loop systemRF1NS118606 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BYRNE, JOHN H, CHESTEK, CYNTHIA ANNE · 2020 to 2020
$3.0M
CRCNS: Evidence-based modeling of neuromodulatory action on network propertiesR01DA057767 · NIDA · UNIVERSITY OF IOWA · PI Yangyang Wang · 2022 to 2026
$1.8M
NIDA NIH HHS R01 DA057767NINDS NIH HHS RF1 NS118606
6 · The paper itself

Abstract

Rhythmic motor behaviors controlled by neuromechanical systems, consisting of central neural circuitry, biomechanics, and sensory feedback, show efficiency in energy expenditure. The biomechanical elements (e.g., muscles) are modulated by peripheral neuromodulation which may improve their strength and speed properties. However, there are relatively few studies on neuromodulatory control of muscle function and metabolic mechanical efficiency in neuromechanical systems. To investigate the role of neuromodulation on the system's mechanical efficiency, we consider a neuromuscular model of motor patterns for feeding in the marine mollusk Aplysia californica. By incorporating muscle energetics and neuromodulatory effects into the model, we demonstrate tradeoffs in the energy efficiency of Aplysia's rhythmic swallowing behavior as a function of the level of neuromodulation. A robust efficiency optimum arises from an intermediate level of neuromodulation, and excessive neuromodulation may be inefficient and disadvantageous to an animal's metabolism. This optimum emerges from physiological constraints imposed upon serotonergic modulation trajectories on the energy efficiency landscape. Our results may lead to experimentally testable hypotheses of the role of neuromodulation in rhythmic motor control.

Indexed as

AplysiaEnergy MetabolismModels, NeurologicalNeurotransmitter AgentsAnimalsBiomechanical PhenomenaModels, BiologicalMusclesNeurotransmitter AgentsCentral pattern generatorClosed-loop controlEnergeticsMuscleNeuromechanicsNeuromodulation

Identifiers

PMID39892775
PMCPMC12007176

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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.