Evidence map›Paper›PMID 27767085›Full record

ArticleScientific reports2016

Wireless inertial measurement of head kinematics in freely-moving rats.

Matthieu O Pasquet, Matthieu Tihy, Aurélie Gourgeon, Marco N Pompili, Bill P Godsil, Clément Léna, Guillaume P Dugué

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

21 citing papers in PubMed, 42 citations in OpenAlex.

  1. Integration of fear learning and fear expression across the dorsoventral axis of the hippocampus.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  4. Extracting Sensory Preferability from Motor Streams.Sensors (Basel, Switzerland) · 2025
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  14. Quantitative Assessment of Anti-Gravity Reflexes to Evaluate Vestibular Dysfunction in Rats.Journal of the Association for Research in Otolaryngology : JARO · 2019
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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 at 5 institutions in 1 country.

Matthieu O PasquetInstitut de Neurobiologie de la Méditerranée (INMED), Institut National de la Santé et de la Recherche Médicale (Inserm), U901, Marseille, France.
Matthieu TihyÉcole Normale Supérieure, PSL Research University, Centre National de la Recherche Scientifique (CNRS) UMR8197, Inserm, U1024, Paris, France.
Aurélie GourgeonÉcole Normale Supérieure, PSL Research University, Centre National de la Recherche Scientifique (CNRS) UMR8197, Inserm, U1024, Paris, France.
Marco N PompiliCentre de Psychiatrie et Neurosciences (CPN), Inserm, U894, Paris, France.
Bill P GodsilCentre de Psychiatrie et Neurosciences (CPN), Inserm, U894, Paris, France.
Clément LénaÉcole Normale Supérieure, PSL Research University, Centre National de la Recherche Scientifique (CNRS) UMR8197, Inserm, U1024, Paris, France.
Guillaume P DuguéÉcole Normale Supérieure, PSL Research University, Centre National de la Recherche Scientifique (CNRS) UMR8197, Inserm, U1024, Paris, France.
École Normale Supérieure - PSL · FRInstitut de Biologie de l'École Normale Supérieure · FRCentre Interdisciplinaire de Recherche en Biologie · FRInserm · FRInstitut de Psychiatrie et Neurosciences de Paris · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While miniature inertial sensors offer a promising means for precisely detecting, quantifying and classifying animal behaviors, versatile inertial sensing devices adapted for small, freely-moving laboratory animals are still lacking. We developed a standalone and cost-effective platform for performing high-rate wireless inertial measurements of head movements in rats. Our system is designed to enable real-time bidirectional communication between the headborne inertial sensing device and third party systems, which can be used for precise data timestamping and low-latency motion-triggered applications. We illustrate the usefulness of our system in diverse experimental situations. We show that our system can be used for precisely quantifying motor responses evoked by external stimuli, for characterizing head kinematics during normal behavior and for monitoring head posture under normal and pathological conditions obtained using unilateral vestibular lesions. We also introduce and validate a novel method for automatically quantifying behavioral freezing during Pavlovian fear conditioning experiments, which offers superior performance in terms of precision, temporal resolution and efficiency. Thus, this system precisely acquires movement information in freely-moving animals, and can enable objective and quantitative behavioral scoring methods in a wide variety of experimental situations.

Indexed as

AccelerometryAnimalsBehavior, AnimalBiomechanical PhenomenaConditioning, PsychologicalEquipment DesignFearHead MovementsMaleRatsRats, Long-EvansVestibule, LabyrinthWireless Technology

Identifiers

PMID27767085
PMCPMC5073323
OpenAlexW2534460679

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.