Evidence map›Paper›PMID 41231944›Full record

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

Structural dynamics and neural representation of wing deformation.

Alexandra M Yarger, Masateru Maeda, Igor Siwanowicz, Haruhiro Kajiyama, Simon M Walker, Richard J Bomphrey, Huai-Ti Lin

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 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. Structural dynamics and neural representation of wing deformation.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.

Alexandra M YargerDepartment of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom.ORCID 0000-0001-9778-1832
Masateru MaedaFaculty of Engineering, Takushoku University, Tokyo 193-0985, Japan.ORCID 0000-0001-5605-0427
Igor SiwanowiczHHMI Janelia Research Campus, Ashburn, VA 20147.
Haruhiro KajiyamaGraduate School of Engineering, Takushoku University, Tokyo 193-0985, Japan.
Simon M WalkerSchool of Biomedical Sciences, University of Leeds, Leeds LS2 9JT, United Kingdom.ORCID 0000-0002-6997-3981
Richard J BomphreyDepartment of Comparative Biomedical Sciences, Royal Veterinary College, Hatfield AL9 7TA, United Kingdom.ORCID 0000-0002-4748-0510
Huai-Ti LinDepartment of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom.

Funding

Ansys (ANSYS, Inc) N/ARoyal Society (The Royal Society) RGF\EA\181051UKRI | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R002509/1UKRI | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R002657/1
6 · The paper itself

Abstract

Locomotor control is facilitated by mechanosensory inputs that report how the body interacts with a physical medium. Effective representation of compliant wing deformations is particularly challenging due to the many degrees of freedom. Structural configurations can constrain the stimulus space, and strategic placement of sensors can simplify computation. Here, we measured and modeled wing displacement fields and characterized spatiotemporal encoding of the wing mechanosensors. Our data show how dragonfly wing architecture prescribes deformation modes consistent across models and measurements. We found that the wing's state under normal flapping conditions is detected by the spike timing of few sensors, with additional sensors recruited under perturbation. The functional integration of wing biomechanics and sensor placement enables a straightforward solution for information transfer.

Indexed as

Flight, AnimalOdonataWings, AnimalAnimalsBiomechanical PhenomenaModels, Biologicaldeformationdragonflyflightmechanosensationwing

Identifiers

PMID41231944
PMCPMC12646313

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.