ReviewCurrent biology : CB2016
Mechanosensation and Adaptive Motor Control in Insects.
Review in Current biology : CB, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.
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.
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.
Who cites it
122 citing papers in PubMed.
- Sticking the landing: leg mechanosensory feedback coordinates the transition from flight to landing.bioRxiv : the preprint server for biology · 2026Article
- Halteres stabilize standing posture in crane flies.Current biology : CB · 2026Article
- Article
- Article
- Functional spatial organization of antennal hair plate sensilla and their development in crickets.Cell and tissue research · 2026Article
- Whole-body 3D kinematics of freely behavingbioRxiv : the preprint server for biology · 2026Article
- Centralized brain networks controlling antennal grooming coordination.Nature communications · 2026Article
- A spiking neural network model for fractional proprioceptive encoding of limb posture and movement in insects.Biological cybernetics · 2026Article
- Encoding of movement primitives and body posture through distributed proprioception in walking and climbing insects.Biological cybernetics · 2026Article
- Construction, Control, and Application of Cyborg Animal Composed of Biological and Electromechanical Systems.Cyborg and bionic systems (Washington, D.C.) · 2026Review
- Bust Stimulation for Sustained Locomotion Control and Autonomous Navigation of Terrestrial Cyborg Beetles.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Structural dynamics and neural representation of wing deformation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Identification of candidate mechanosensory transduction channels in the aquatic insect Protohermes xanthodes (Megaloptera: Corydalidae) by transcriptome analysis.Journal of insect science (Online) · 2025Article
- Article
- Ascending nociceptive pathways drive rapid escape and sustained avoidance in adultbioRxiv : the preprint server for biology · 2025Article
- Homology search confirms widespread presence of BBSome proteins in Hexapoda with implications for potential non-ciliary BBS protein functions in honey bees.Scientific reports · 2025Article
- Hypersensitive pressure sensors inspired by scorpion mechanosensory mechanisms for near-body flow detection in intelligent robots.Science advances · 2025Article
- A conserved role for centriolar satellites in translation of centrosomal and ciliary proteins.The Journal of cell biology · 2025Article
- Zoborg: On-Demand Climbing Control for Cyborg Beetles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Cyborg insect factory: automatic assembly for insect-computer hybrid robot via vision-guided robotic arm manipulation of custom bipolar electrodes.Nature communications · 2025Article
62 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The ability of animals to flexibly navigate through complex environments depends on the integration of sensory information with motor commands. The sensory modality most tightly linked to motor control is mechanosensation. Adaptive motor control depends critically on an animal's ability to respond to mechanical forces generated both within and outside the body. The compact neural circuits of insects provide appealing systems to investigate how mechanical cues guide locomotion in rugged environments. Here, we review our current understanding of mechanosensation in insects and its role in adaptive motor control. We first examine the detection and encoding of mechanical forces by primary mechanoreceptor neurons. We then discuss how central circuits integrate and transform mechanosensory information to guide locomotion. Because most studies in this field have been performed in locusts, cockroaches, crickets, and stick insects, the examples we cite here are drawn mainly from these 'big insects'. However, we also pay particular attention to the tiny fruit fly, Drosophila, where new tools are creating new opportunities, particularly for understanding central circuits. Our aim is to show how studies of big insects have yielded fundamental insights relevant to mechanosensation in all animals, and also to point out how the Drosophila toolkit can contribute to future progress in understanding mechanosensory processing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.