CARRENO-MUNOZ, Maria Isabel; MEDRANO, Maria-Carmen; LEINEKUGEL, Thomas; BOMPART, Maelys; MARTINS, Fabienne; SUBASHI, Enejda; ABY, Franck; FRICK, Andreas; LANDRY, Marc; GRANA, Manuel; LEINEKUGEL, Xavier

doi:10.1038/s41386-021-01217-w

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CARRENO-MUNOZ, Maria Isabel
Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]

MEDRANO, Maria-Carmen
Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]

LEINEKUGEL, Thomas
Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]

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p. 933-943

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Behavioral phenotyping devices have been successfully used to build ethograms, but many aspects of behavior remain out of reach of available phenotyping systems. We now report on a novel device, which consists in an open-field platform resting on highly sensitive piezoelectric (electromechanical) pressure-sensors, with which we could detect the slightest movements (up to individual heart beats during rest) from freely moving rats and mice. The combination with video recordings and signal analysis based on time-frequency decomposition, clustering, and machine learning algorithms provided non-invasive access to previously overlooked behavioral components. The detection of shaking/shivering provided an original readout of fear, distinct from but complementary to behavioral freezing. Analyzing the dynamics of momentum in locomotion and grooming allowed to identify the signature of gait and neurodevelopmental pathological phenotypes. We believe that this device represents a significant progress and offers new opportunities for the awaited advance of behavioral phenotyping. © 2021, The Author(s), under exclusive licence to American College of Neuropsychopharmacology.< Réduire

Mots clés en anglais

Animals

Fear Grooming

Heart Rate

Machine Learning

Mice Movement

Rats

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https://oskar-bordeaux.fr/handle/20.500.12278/171650

DOI

http://dx.doi.org/10.1038/s41386-021-01217-w

Project ANR

Bordeaux Region Aquitaine Initiative for Neuroscience - ANR-10-LABX-0043
Initiative d'excellence de l'Université de Bordeaux

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Detecting fine and elaborate movements with piezo sensors, from heartbeat to the temporal organization of behavior

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Detecting fine and elaborate movements with piezo sensors, from heartbeat to the temporal organization of behavior

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Résumé en anglais

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URI

DOI

Project ANR

Unités de recherche