Evidence map›Paper›PMID 28560254›Full record

ArticleNPJ schizophrenia2017

Unravelling socio-motor biomarkers in schizophrenia.

Piotr Słowiński, Francesco Alderisio, Chao Zhai, Yuan Shen, Peter Tino, Catherine Bortolon, Delphine Capdevielle, Laura Cohen, Mahdi Khoramshahi, Aude Billard and 7 more

Abstract read
In one paragraph

Article in NPJ schizophrenia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Human social motor solutions for human-machine interaction in dynamical task contexts.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

17 authors.

Piotr SłowińskiDepartment of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF UK.
Francesco AlderisioDepartment of Engineering Mathematics, University of Bristol, Merchant Venturers' Building, Exeter, BS8 1UB UK.
Chao ZhaiDepartment of Engineering Mathematics, University of Bristol, Merchant Venturers' Building, Exeter, BS8 1UB UK.
Yuan ShenSchool of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK.
Peter TinoSchool of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT UK.
Catherine BortolonUniversity Department of Adult Psychiatry, Hôpital de la Colombière, CHU Montpellier, Montpellier-1 University, Montpellier, France.
Delphine CapdevielleUniversity Department of Adult Psychiatry, Hôpital de la Colombière, CHU Montpellier, Montpellier-1 University, Montpellier, France.
Laura CohenLASA Laboratory, School of Engineering, Ecole Polytechnique Federale de Lausanne-EPFL, Station 9, Lausanne, 1015 Switzerland.
Mahdi KhoramshahiLASA Laboratory, School of Engineering, Ecole Polytechnique Federale de Lausanne-EPFL, Station 9, Lausanne, 1015 Switzerland.
Aude BillardLASA Laboratory, School of Engineering, Ecole Polytechnique Federale de Lausanne-EPFL, Station 9, Lausanne, 1015 Switzerland.
Robin SalesseEuroMov, Montpellier University, 700 Avenue du Pic Saint-Loup, Montpellier, 34090 France.
Mathieu GueugnonEuroMov, Montpellier University, 700 Avenue du Pic Saint-Loup, Montpellier, 34090 France.
Ludovic MarinEuroMov, Montpellier University, 700 Avenue du Pic Saint-Loup, Montpellier, 34090 France.
Benoit G BardyEuroMov, Montpellier University, 700 Avenue du Pic Saint-Loup, Montpellier, 34090 France.
Mario di BernardoDepartment of Engineering Mathematics, University of Bristol, Merchant Venturers' Building, Exeter, BS8 1UB UK.
Stephane Raffard *University Department of Adult Psychiatry, Hôpital de la Colombière, CHU Montpellier, Montpellier-1 University, Montpellier, France.
Krasimira Tsaneva-Atanasova *Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present novel, low-cost and non-invasive potential diagnostic biomarkers of schizophrenia. They are based on the 'mirror-game', a coordination task in which two partners are asked to mimic each other's hand movements. In particular, we use the patient's solo movement, recorded in the absence of a partner, and motion recorded during interaction with an artificial agent, a computer avatar or a humanoid robot. In order to discriminate between the patients and controls, we employ statistical learning techniques, which we apply to nonverbal synchrony and neuromotor features derived from the participants' movement data. The proposed classifier has 93% accuracy and 100% specificity. Our results provide evidence that statistical learning techniques, nonverbal movement coordination and neuromotor characteristics could form the foundation of decision support tools aiding clinicians in cases of diagnostic uncertainty.

Identifiers

PMID28560254
PMCPMC5441525

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.