Evidence map›Paper›PMID 30946879›Full record

ArticleJournal of neuroscience methods2019

MarmoDetector: A novel 3D automated system for the quantitative assessment of marmoset behavior.

Taiki Yabumoto, Fumiaki Yoshida, Hideaki Miyauchi, Kousuke Baba, Hiroshi Tsuda, Kensuke Ikenaka, Hideki Hayakawa, Nozomu Koyabu, Hiroki Hamanaka, Stella M Papa and 2 more

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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  8. Opportunities and limitations of genetically modified nonhuman primate models for neuroscience research.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

12 authors.

Taiki YabumotoDepartment of Neurology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
Fumiaki YoshidaDepartment of Neurological Diagnosis and Restoration, Graduat School of Medicine, Osaka University, Suita, Osaka, Japan; Department of Neurosurgery, Osaka University Medical School, Suita, Osaka, Japan; Department of Anatomy & Physiology, Faculty of Medicine, Saga University, Saga, Japan; Japan Science and Technology Agency, PRESTO, Japan.
Hideaki MiyauchiCOCOSNET Ltd., Fukuoka, Japan.
Kousuke BabaDepartment of Neurology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan; Department of Advanced Hybrid Medicine, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
Hiroshi TsudaDepartment of Neurology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
Kensuke IkenakaDepartment of Neurology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
Hideki HayakawaDepartment of Neurology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
Nozomu KoyabuThe Institute of Large Laboratory Animal Sciences, Center of Medical Innovation and Translational Research, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
Hiroki HamanakaDepartment of Neurological Diagnosis and Restoration, Graduat School of Medicine, Osaka University, Suita, Osaka, Japan.
Stella M PapaYerkes National Primate Research Center, Emory University, Atlanta, GA, USA; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
Masayuki HirataDepartment of Neurological Diagnosis and Restoration, Graduat School of Medicine, Osaka University, Suita, Osaka, Japan; Department of Neurosurgery, Osaka University Medical School, Suita, Osaka, Japan; Center for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka University, Osaka, Japan. Electronic address: mhirata@cne.mei.osaka-u.ac.jp.
Hideki MochizukiDepartment of Neurology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan. Electronic address: hmochizuki@neurol.med.osaka-u.ac.jp.

Funding

Regulation of Motor Function in Parkinson's DiseaseR01NS045962 · NINDS · EMORY UNIVERSITY · PI PAPA, STELLA M, TRAYNELIS, STEPHEN F · 2004 to 2022
$5.2M
Gene therapy targeting striatal dysfunction for Parkinson’s diseaseR01NS126924 · NINDS · EMORY UNIVERSITY · PI Stella M Papa · 2022 to 2026
$2.7M
Manipulating Gene Expression in the Dyskinesias of Parkinson's DiseaseR01NS073994 · NINDS · EMORY UNIVERSITY · PI MOURADIAN, M. MARAL, PAPA, STELLA M · 2011 to 2016
$2.4M
NINDS NIH HHS R01 NS045962NINDS NIH HHS R01 NS073994NINDS NIH HHS R01 NS126924
6 · The paper itself

Abstract

backgroundCallithrix jacchus, generally known as the common marmoset, has recently garnered interest as an experimental primate model for better understanding the basis of human social behavior, architecture and function. Modelling human neurological and psychological diseases in marmosets can enhance the knowledge obtained from rodent research for future pre-clinical studies. Hence, comprehensive and quantitative assessments of marmoset behaviors are crucial. However, systems for monitoring and analyzing marmoset behaviors have yet to be established. NEW

methodIn this paper, we present a novel multimodal system, MarmoDetector, for the automated 3D analysis of marmoset behavior under freely moving conditions. MarmoDetector allows the quantitative assessment of marmoset behaviors using computerised tracking analysis techniques that are based on a Kinect system equipped with video recordings, infrared images and depth analysis.

resultsUsing MarmoDetector, we assessed behavioral circadian rhythms continuously over several days in home cages. In addition, MarmoDetector detected acute, transient complex behaviors of alcohol injected marmosets. COMPARISON TO EXISTING

methodCompared to 2D recording, MarmoDetector detects activities more precisely and is very sensitive as we could detect behavioral defects specifically induced by alcohol administration.

conclusionMarmoDetector facilitates the rapid and accurate analysis of marmoset behavior and will enhance research on the neural basis of brain disorders.

Indexed as

Behavior, AnimalCallithrixAnimalsCircadian RhythmFemaleImage Processing, Computer-AssistedMaleMotor ActivityPattern Recognition, AutomatedVideo RecordingAlcoholBehavioral neuroscienceKinectMarmoset (Callithrix jacchus

Identifiers

PMID30946879
PMCPMC8014948

What OpenQuestion holds

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Registered trials

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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.