Unravelling socio-motor biomarkers in schizophrenia

Mirror game test could detect schizophrenia A new test of movement and social interaction could detect markers of schizophrenia, and help to diagnose and manage the condition. In an effort to establish reliable indicators of schizophrenia, Piotr Slowinski at the University of Exeter, UK and colleagu...

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Autores principales: Piotr Słowiński, Francesco Alderisio, Chao Zhai, Yuan Shen, Peter Tino, Catherine Bortolon, Delphine Capdevielle, Laura Cohen, Mahdi Khoramshahi, Aude Billard, Robin Salesse, Mathieu Gueugnon, Ludovic Marin, Benoit G. Bardy, Mario di Bernardo, Stephane Raffard, Krasimira Tsaneva-Atanasova
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/c3b215fc73234947a3b70b1b861bc8b6
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spelling oai:doaj.org-article:c3b215fc73234947a3b70b1b861bc8b62021-12-02T16:19:50ZUnravelling socio-motor biomarkers in schizophrenia10.1038/s41537-016-0009-x2334-265Xhttps://doaj.org/article/c3b215fc73234947a3b70b1b861bc8b62017-02-01T00:00:00Zhttps://doi.org/10.1038/s41537-016-0009-xhttps://doaj.org/toc/2334-265XMirror game test could detect schizophrenia A new test of movement and social interaction could detect markers of schizophrenia, and help to diagnose and manage the condition. In an effort to establish reliable indicators of schizophrenia, Piotr Slowinski at the University of Exeter, UK and colleagues developed a test that could detect deficits in movement and social interactions, both characteristics of the disorder. They asked people to perform movements alone, and to mirror the movements of a computer avatar or a humanoid robot. Automated analysis of the movements allowed to distinguish people with schizophrenia from healthy participants with accuracy and specificity slightly better than clinical interviews and comparable to test based on much more expensive neuroimaging methods. The technique could help with diagnosis of schizophrenia and to monitor patients’ responses to treatment, but needs to be tested in clinical trials before being applied in clincal practice.Piotr SłowińskiFrancesco AlderisioChao ZhaiYuan ShenPeter TinoCatherine BortolonDelphine CapdevielleLaura CohenMahdi KhoramshahiAude BillardRobin SalesseMathieu GueugnonLudovic MarinBenoit G. BardyMario di BernardoStephane RaffardKrasimira Tsaneva-AtanasovaNature PortfolioarticlePsychiatryRC435-571ENnpj Schizophrenia, Vol 3, Iss 1, Pp 1-10 (2017)
institution DOAJ
collection DOAJ
language EN
topic Psychiatry
RC435-571
spellingShingle Psychiatry
RC435-571
Piotr Słowiński
Francesco Alderisio
Chao Zhai
Yuan Shen
Peter Tino
Catherine Bortolon
Delphine Capdevielle
Laura Cohen
Mahdi Khoramshahi
Aude Billard
Robin Salesse
Mathieu Gueugnon
Ludovic Marin
Benoit G. Bardy
Mario di Bernardo
Stephane Raffard
Krasimira Tsaneva-Atanasova
Unravelling socio-motor biomarkers in schizophrenia
description Mirror game test could detect schizophrenia A new test of movement and social interaction could detect markers of schizophrenia, and help to diagnose and manage the condition. In an effort to establish reliable indicators of schizophrenia, Piotr Slowinski at the University of Exeter, UK and colleagues developed a test that could detect deficits in movement and social interactions, both characteristics of the disorder. They asked people to perform movements alone, and to mirror the movements of a computer avatar or a humanoid robot. Automated analysis of the movements allowed to distinguish people with schizophrenia from healthy participants with accuracy and specificity slightly better than clinical interviews and comparable to test based on much more expensive neuroimaging methods. The technique could help with diagnosis of schizophrenia and to monitor patients’ responses to treatment, but needs to be tested in clinical trials before being applied in clincal practice.
format article
author Piotr Słowiński
Francesco Alderisio
Chao Zhai
Yuan Shen
Peter Tino
Catherine Bortolon
Delphine Capdevielle
Laura Cohen
Mahdi Khoramshahi
Aude Billard
Robin Salesse
Mathieu Gueugnon
Ludovic Marin
Benoit G. Bardy
Mario di Bernardo
Stephane Raffard
Krasimira Tsaneva-Atanasova
author_facet Piotr Słowiński
Francesco Alderisio
Chao Zhai
Yuan Shen
Peter Tino
Catherine Bortolon
Delphine Capdevielle
Laura Cohen
Mahdi Khoramshahi
Aude Billard
Robin Salesse
Mathieu Gueugnon
Ludovic Marin
Benoit G. Bardy
Mario di Bernardo
Stephane Raffard
Krasimira Tsaneva-Atanasova
author_sort Piotr Słowiński
title Unravelling socio-motor biomarkers in schizophrenia
title_short Unravelling socio-motor biomarkers in schizophrenia
title_full Unravelling socio-motor biomarkers in schizophrenia
title_fullStr Unravelling socio-motor biomarkers in schizophrenia
title_full_unstemmed Unravelling socio-motor biomarkers in schizophrenia
title_sort unravelling socio-motor biomarkers in schizophrenia
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/c3b215fc73234947a3b70b1b861bc8b6
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